Amagi Media Labs Careers

FOUNDED

2008

TYPE

Product

SIZE

500-1000 employees

STAGE

Profitable

Why join us

Amagi enables TV networks, OTT platforms, and content owners to transition to cloud technologies for their playout, delivery and monetization needs.

Jobs at Amagi Media Labs

Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Java
Javascript
React.js
Angular (2+)
AngularJS (1.x)
Vue.js
J2EE
Spring Boot
Hibernate (Java)
Microservices
Bengaluru (Bangalore)
5 - 8 yrs
Best in industry
Skills: Java, Spring Boot, Microservices
Good Communication Skills
Good in Restful webservices, Spring, Hibernate etc
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Rajesh C
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Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Data Analytics
Data Visualization
PowerBI
Tableau
Qlikview
Spotfire
Python
Amazon Web Services (AWS)
SQL
ETL
Bengaluru (Bangalore)
5 - 7 yrs
₹10L - ₹20L / yr

Data Analyst

Job Description

 

Summary

Are you passionate about handling large & complex data problems, want to make an impact and have the desire to work on ground-breaking big data technologies? Then we are looking for you.

 

At Amagi, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Amagi’s Data Engineering and Business Intelligence team is looking for passionate, detail-oriented, technical savvy, energetic team members who like to think outside the box.

 

Amagi’s Data warehouse team deals with petabytes of data catering to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are an integral part of business functions such as Sales/Revenue, Operations, Finance, Marketing and Engineering, enabling critical business decisions. Designing, developing, scaling and running these big data technologies using native technologies of AWS and GCP are a core part of our daily job.

 

Key Qualifications

  • Experience in building highly cost optimised data analytics solutions
  • Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data
  • Experience (hands on) in building high quality ETL applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance.
  • Experience in working with AWS or GCP
  • Experience with relational and NoSQL databases
  • Experience to full stack web development (Preferably Python)
  • Expertise with data visualisation systems such as Tableau and Quick Sight
  • Proficiency in writing advanced SQL queries with expertise in performance tuning handling large data volumes
  • Familiarity with ML/AÍ technologies is a plus
  • Demonstrate strong understanding of development processes and agile methodologies
  • Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quickly

 

Description

Data Analytics is at the core of our work, and you will have the opportunity to:

 

  • Design Data-warehousing solutions on Amazon S3 with Athena, Redshift, GCP Bigtable etc
  • Lead quick prototypes by integrating data from multiple sources
  • Do advanced Business Analytics through ad-hoc SQL queries
  • Work on Sales Finance reporting solutions using tableau, HTML5, React applications

 

We build amazing experiences and create depth in knowledge for our internal teams and our leadership. Our team is a friendly bunch of people that help each other grow and have a passion for technology, R&D, modern tools and data science.

 

Our work relies on deep understanding of the company needs and an ability to go through vast amounts of internal data such as sales, KPIs, forecasts, Inventory etc. One of the key expectations of this role would be to do data analytics, building data lakes, end to end reporting solutions etc. If you have a passion for cost optimised analytics and data engineering and are eager to learn advanced data analytics at a large scale, this might just be the job for you..

 

Education & Experience

A bachelor’s/master’s degree in Computer Science with 5 to 7 years of experience and previous experience in data engineering is a plus.

 

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Founded 2008  •  Product  •  500-1000 employees  •  Profitable
B2B Marketing
SaaS
Branding
Product Marketing
Bengaluru (Bangalore)
10 - 12 yrs
₹35L - ₹45L / yr
Vice President - Marketing

Voiro is a media technology company founded in 2014 – a B2B SaaS offering that is
trusted by some of India’s largest media powerhouses. A revenue analytics platform
for content led businesses, Voiro helps media companies unlock a data driven
approach to accelerating revenue. Over the last 6 years, Voiro has become the
revenue management platform of choice in the Indian media space, earning its spot
in the core technology stack that has driven large live events year after year such as
the IPL, the Oscars, Bigg Boss and Big Billion Day.
Job Description
We’re looking for a marketing leader to build a top-quality marketing practice; one
that will help scale Voiro to the next level on the back of a strong product, a
customer list that includes the best of Indian media, and a tight, close-knit team.
Your Responsibilities
As Voiro’s Vice President of Marketing, you will:
● Be responsible for building and strengthening Voiro’s brand and positioning
in line with the company’s product, vision and strategy
● Own and execute a communication strategy, both external and internal
● Be responsible for delivering a pipeline of conversations to our sales team
● Build a robust, data-driven, measurement-focused marketing practice,
including but not limited to product marketing, content marketing, events
and digital marketing
● Grow a team of focused, capable, marketing specialists
Experience and background
We’re looking for someone with 8 or more years of experience in B2B marketing,
working across at least two or three of the following verticals: brand marketing,
digital marketing and lead generation, product marketing, events, content
production, research and measurement. An MBA is preferred but not essential
Our ideal hire will:.
● Have experience leading a team
● Be a complete technology and media enthusiast
● Be familiar with SaaS business constructs
● Be driven by data and measurement
● Have unquestionable ethics and be incredibly self-motivated
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Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Machine Learning (ML)
Data Science
ETL
Data Warehouse (DWH)
Amazon Web Services (AWS)
Agile/Scrum
Java
Scala
Python
Spark
Bengaluru (Bangalore), Chennai
12 - 15 yrs
₹50L - ₹60L / yr
Job Title: Data Architect
Job Location: Chennai

Job Summary
The Engineering team is seeking a Data Architect. As a Data Architect, you will drive a
Data Architecture strategy across various Data Lake platforms. You will help develop
reference architecture and roadmaps to build highly available, scalable and distributed
data platforms using cloud based solutions to process high volume, high velocity and
wide variety of structured and unstructured data. This role is also responsible for driving
innovation, prototyping, and recommending solutions. Above all, you will influence how
users interact with Conde Nast’s industry-leading journalism.
Primary Responsibilities
Data Architect is responsible for
• Demonstrated technology and personal leadership experience in architecting,
designing, and building highly scalable solutions and products.
• Enterprise scale expertise in data management best practices such as data integration,
data security, data warehousing, metadata management and data quality.
• Extensive knowledge and experience in architecting modern data integration
frameworks, highly scalable distributed systems using open source and emerging data
architecture designs/patterns.
• Experience building external cloud (e.g. GCP, AWS) data applications and capabilities is
highly desirable.
• Expert ability to evaluate, prototype and recommend data solutions and vendor
technologies and platforms.
• Proven experience in relational, NoSQL, ELT/ETL technologies and in-memory
databases.
• Experience with DevOps, Continuous Integration and Continuous Delivery technologies
is desirable.
• This role requires 15+ years of data solution architecture, design and development
delivery experience.
• Solid experience in Agile methodologies (Kanban and SCRUM)
Required Skills
• Very Strong Experience in building Large Scale High Performance Data Platforms.
• Passionate about technology and delivering solutions for difficult and intricate
problems. Current on Relational Databases and No sql databases on cloud.
• Proven leadership skills, demonstrated ability to mentor, influence and partner with
cross teams to deliver scalable robust solutions..
• Mastery of relational database, NoSQL, ETL (such as Informatica, Datastage etc) /ELT
and data integration technologies.
• Experience in any one of Object Oriented Programming (Java, Scala, Python) and
Spark.
• Creative view of markets and technologies combined with a passion to create the
future.
• Knowledge on cloud based Distributed/Hybrid data-warehousing solutions and Data
Lake knowledge is mandate.
• Good understanding of emerging technologies and its applications.
• Understanding of code versioning tools such as GitHub, SVN, CVS etc.
• Understanding of Hadoop Architecture and Hive SQL
• Knowledge in any one of the workflow orchestration
• Understanding of Agile framework and delivery

Preferred Skills:
● Experience in AWS and EMR would be a plus
● Exposure in Workflow Orchestration like Airflow is a plus
● Exposure in any one of the NoSQL database would be a plus
● Experience in Databricks along with PySpark/Spark SQL would be a plus
● Experience with the Digital Media and Publishing domain would be a
plus
● Understanding of Digital web events, ad streams, context models

About Condé Nast

CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right
move to invest heavily in understanding this data and formed a whole new Data team
entirely dedicated to data processing, engineering, analytics, and visualization. This team
helps drive engagement, fuel process innovation, further content enrichment, and increase
market revenue. The Data team aimed to create a company culture where data was the
common language and facilitate an environment where insights shared in real-time could
improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The
team at Condé Nast Chennai works extensively with data to amplify its brands' digital
capabilities and boost online revenue. We are broadly divided into four groups, Data
Intelligence, Data Engineering, Data Science, and Operations (including Product and
Marketing Ops, Client Services) along with Data Strategy and monetization. The teams built
capabilities and products to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are
Condé Nast, and It Starts Here.
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Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Engineering Management
Python
Spark
Java
Big Data
Cloud Computing
Amazon Web Services (AWS)
Machine Learning (ML)
Bengaluru (Bangalore), Chennai
10 - 14 yrs
₹40L - ₹60L / yr

Job Title: Engineering Manager

Job Location: Chennai, Bangalore
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.

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Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Product Management
Product Manager
Agile/Scrum
confluence
JIRA
Bengaluru (Bangalore)
6 - 11 yrs
₹15L - ₹30L / yr

Job Description

About Platform Product

Quality, performance, experimentation, and speed of delivery are all principles at the heart of what we do as a Platform group. We have strong capabilities in areas such as editorial tooling, content delivery, design systems, advertising and commerce, and provide the underlying technology for the digital presence of Condé Nast brands on four continents. Our vision is to additionally invest in areas such as video, subscriptions, membership, and next generation editorial tools.

 

Teams are encouraged to explore creative ideas to meet the strategic vision, backed by rigorous techniques.

 

The Role

Condé Nast is seeking an innovative, collaborative, and proven product-management professional. The candidate will develop, maintain, and execute the digital strategy and product roadmap for the most influential media brands at Condé Nast. 

 

This is a new and exciting role to help develop new commerce platform capabilities globally. Commerce will be an ecosystem of capabilities that cover affiliate, shop and marketplace, order + inventory management, payments & billing, checkout and distribution. The role will be focused on developing and maintaining premier platform commerce products to the benefit of all Condé Nast brands that aim to increase conversion rate, AOV & LTV.

 

The role will require working collaboratively with several departments, brands and stakeholders and will partner with Condé Nast’s Director of Product in driving best in class digital products across multiple platforms.

 

Role responsibilities

  • Drive product prioritization and product management methodology for the business by working with internal and external stakeholders including Commerce, Editorial, Advertising, and Consumer Marketing

  • Successfully address complicated and challenging problems, such as third-party integrations and platform inter-dependencies

  • Exposure to the growing trends and use of data driven advertising and data management platforms

  • Successfully address complicated and challenging problem sets

  • Learn new problems sets quickly and experience applying creative problem solutions

  • Project management and multitasking across concurrent projects to deliver on project goal

  • Identifying critical issues or roadblocks as well as communication of status out to various stakeholders

  • Creating and managing product and project documentation, including additional information gathering or publishing

 

About you

  • Essential - previous experience at a global organisation working across timezones, cultures and product ecosystems.

  • Experience with e-commerce systems/payment-based third-party integrations and/or conversion funnels

  • Experience with content / media organisations

  • Experience working with product, engineering and design teams using Agile / Scrum software development

  • Experience working with Confluence, Jira and Google Analytics

  • Self-driven, motivated, and ability to drive objectives forward and see projects and initiatives through to completion

  • Excellent written and verbal English communication skills

  • Team & Culture: You will be a good team partner and help foster a culture of inclusiveness. In part, this means being a good communicator and a good listener. You are someone who respects the other team member disciplines and encourages discussion around important decisions. 

  • You will be working with a global team and need to be accommodative of different time-zones as required

 
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Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Javascript
NodeJS (Node.js)
React.js
MongoDB
Bengaluru (Bangalore)
9 - 11 yrs
₹20L - ₹30L / yr

Job Description

 

Condé Nast has a huge global footprint across 32 countries worldwide with total monthly visitors reaching more than 550 million. We aim to inspire, inform and entertain our audiences through our portfolio of well known brands such as Vogue, Wired, Vanity Fair, Architectural Digest, GQ and many other leading brands.

 

Condé Nast has operations in America, Europe, South America and Asia. There are long-established operations in major Indian cities such as Mumbai and Chennai across many business areas.

 

The company is undertaking the biggest transformation in its history, driving towards expanding both its operations and its reach through diversifying the digital business models for our brands. Major areas of focus will include video and streaming platforms, increasing subscriptions and memberships, growing our events business, and ensuring we maintain a high level of standard on the products we are already proud of delivering to our customers. Migrating and consolidating to a more centralised set of technologies and capabilities that can be easily leveraged by any brand or product experience is also a top business priority.

 

Engineering is responsible for scaling, building, deploying websites that serve over 500 million users globally. The global engineering team includes Product Engineering, Platform Engineering and Core Engineering.

 
 
 

About Brand Engineering

Our mission is to build compelling and inspiring experiences across our portfolio of global brands such as Vogue, Wired, Vanity Fair, and Glamour which currently reaches over 500 million monthly users. Our goals are extremely ambitious; we are rolling out our brands into new countries and territories and pushing to serve more consumers across web, native (iOS / Android), video and social platforms.

 

We want you to join us as we embark on further global expansion of our brands, creation of new features to deliver our engaging content to consumers worldwide, and diversifying our revenue models. We believe in fostering a culture of experimentation and innovation, often running hundreds of a/b experiments in production every day! 

 

You will be working alongside international colleagues across US, London, and India. Cross-functional collaboration is at the heart of what we do and you will be comfortable working in close partnership with Product, Design, UX, and Data. The Brand Engineering group works in close partnership with the Platform Engineering group to implement cross-cutting solutions that can be leveraged by the Brands to deliver robust end-to-end experiences for our consumers.

 

The Role

We’re looking for a Senior JavaScript engineer to join our team at our Chennai/Bengaluru office.We ideally hire engineers who are comfortable across the full stack, but we know you'll have a preference about being on the front- or back-end. As long as you're happy to work on both sets of tasks – you should carry on reading!

 

Our tech

  • Languages and Frameworks: Javascript, Node.JS, React (and React eco-system)

  • APIs: GraphQL

  • Data: Postgres, MongoDB, Elasticsearch

  • Deployment: Docker, AWS, Kubernetes

  • Source Control: Git, GitHub

 

How we work

  • Infrastructure as Code everywhere

  • Pairing. We like knowledge sharing and upskilling

  • Remote friendly. We work with engineers across time zones & locations

  • (Oncall - teams are responsible for their own apps)

 

Role and responsibilities

  • Working on our collection of Node apps; we use a mix of Express, Hapi, and Fastify

  • Working on our front-end apps; we use a mix of React and Next.js but as long as you have experience in at least one framework we don’t really mind

  • Shipping features and services to anywhere between thousands to millions of customers per day.

  • Collaboratively working with our amazing infrastructure team

  • Mentoring colleagues at every level, and a willingness to be mentored by them

  • Supporting your Tech Lead and Engineering Manager in technical decision making, solutionizing and estimations.

  • Pairing with members of your team to identify the most optimal solution. Regularly conducting code reviews to ensure high standards of engineering quality in the code that we write.

  • Working within a cross-functional team that includes designers, UX engineers, and product

  • Looking at logs and monitoring metrics and responding to alerts; we use Kibana, ElasticSearch and Datadog extensively, but as long as you’re aware of how important observability is, we don’t mind what tools you may have used in the past.

  • Taking part in our 24/7 “On Call” rota to troubleshoot any major operational issues out of hours. Teams are responsible for their own apps availability and reliability.

 

About you - Essential skills

  • You have a BE / BTech or equivalent experience

  • You’re a software engineer with 7-9 years of experience. 

  • Expert knowledge of JavaScript and Node.js, good understanding of ES9 and React.js and JavaScript testing frameworks (such as Jest, Mocha etc.)

  • Good understanding of Cloud Native architecture, containerisation, Docker, AWS, CI/CD, and DevOps culture. Kubernetes foundational knowledge would be a great bonus, as we use it extensively.

  • Practical experience in the use of leading engineering practices and principles.

  • Practical experience of building robust solutions at large scale. We serve traffic in the many millions every month so our products need to scale seamlessly to meet our customer demands.

  • Appreciation for functions of Product and Design, experience working in cross-functional teams.

  • You’ll try to make the codebase nicer for the next person that visits it.

  • You’re someone who’ll own every step of the development process; from refining tickets to shipping the code to production.

  • You’ll do your best, and ask for help when it’s needed.

  • You have an interest or desire to learn about every part of the stack; from the latest JavaScript standards, to GraphQL, to accessibility, and the infrastructure we deploy to (we use Kubernetes extensively, but we have a dedicated platform team on hand to help!)

  • Someone who can communicate in a variety of media (through Slack and in person) effectively within their team, outside of their team, and with people in our product and design families, to even our users

  • Able to effectively communicate technical concepts to different audiences

  • Business proficiency in spoken and written English

  • You will be working with a global team and need to be accommodative of different time-zones as required

 

About you - Desirable skills

  • Experience of working with international teams across multiple time-zones

  • Mentoring and/or management experience

  • Knowing about continuous integration, testing strategies, design systems, software architecture, data and analytics, user experience, accessibility, internationalisation, web performance

  • Experience and/or interest in working with digital advertising

  • Experience and/or interest in working in publishing

  • Experience and/or interest in working with Fashion

  • Proficiency working with a variety of third party APIs and developer tools

  • Commercial experience using Kubernetes, React and GraphQL

 
 
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Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Javascript
NodeJS (Node.js)
React.js
GraphQL
Bengaluru (Bangalore)
5 - 7 yrs
₹20L - ₹25L / yr

Job Description

Condé Nast has a huge global footprint across 32 countries worldwide with total monthly visitors reaching more than 550 million. We aim to inspire, inform and entertain our audiences through our portfolio of well known brands such as Vogue, Wired, Vanity Fair, Architectural Digest, GQ and many other leading brands.

 

Condé Nast has operations in America, Europe, South America and Asia. There are long-established operations in major Indian cities such as Mumbai and Chennai across many business areas.

 

The company is undertaking the biggest transformation in its history, driving towards expanding both its operations and its reach through diversifying the digital business models for our brands. Major areas of focus will include video and streaming platforms, increasing subscriptions and memberships, growing our events business, and ensuring we maintain a high level of standard on the products we are already proud of delivering to our customers. Migrating and consolidating to a more centralised set of technologies and capabilities that can be easily leveraged by any brand or product experience is also a top business priority.

 

Engineering is responsible for scaling, building, deploying websites that serve over 500 million users globally. The global engineering team includes Product Engineering, Platform Engineering and Core Engineering.

 

About Platform Engineering

Our mission is to build modern media platforms to serve our omni-channel experiences for our portfolio of global brands such as Vogue, Wired, Vanity Fair, and Glamour which currently reaches over 500 million monthly users. We need your help to create new capabilities, and strengthen our existing ones, so that our brands can reach wider audiences through engaging digital experiences.

 

Quality, performance, experimentation, and speed of delivery are all principles at the heart of what we do as a Platform Engineering group. We have strong capabilities in areas such as editorial tooling, content delivery, design systems, advertising and commerce that we will continue to improve and grow. Our vision is to additionally invest in areas such as video, subscriptions, membership, and next generation editorial tools.

 

You will be working alongside international colleagues across the US, London, and India. We strongly emphasise cross-functional working through partnering directly with Product, Data, Design, UX and Delivery.

 

The Role

 

Condé Nast is looking for an experienced engineer to join and help us build the next generation of our content creation digital products. You will work closely with our product teams and help lead engineering teams in their shared mission to scale out and build our internal platform. These teams’ focus spans many types of products essential to both editors, other engineers, and subscribers. Your work will drive the future of Condé Nast’s digital strategy in today’s publishing market and reach our millions of readers around the world.

 

Responsibilities

 
  • Collaborate with other disciplines (engineering, design, product) in the creation and iteration of web applications built for our subscribers

  • Helping leading projects from ideation to execution to maintenance

  • Collaborating with the broader engineering group on new ideas or improving existing ones

  • Identify and improve code and usability performance issues

  • Participate in design and code reviews

  • Helping us grow and expand our engineering teams

 

About you

 
  • Strong analytical and problem solving skills

  • Expert level fluency in at least 1 programing language

  • Experience working with, designing, and deploying production-grade React/Ember applications

  • Experience working with and helping Design Systems

  • Familiarity and experience with designing, and deploying production-grade RESTful APIs, experience and knowledge of GraphQL APIs a plus

  • Strong end-to-end testing experience and an emphasis on TDD methodologies

  • Eager to learn about new technologies and implementing these ideas in a production environment

 

Our tech

  • Languages and Frameworks: JavaScript, Node, React, Ember

  • Data: Mongo, Postgres, Elasticsearch, Kafka

  • Deployment: Docker, AWS, Terraform, Kubernetes, CircleCI

  • Datadog, Kibana, Elastic search -  for observing our platform

  • APIs: GraphQL

  • Source Control: Git, GitHub

 

How we work

  • Pairing. We like knowledge sharing and upskilling

  • Remote friendly. We work with engineers across time zones & locations

  • Infrastructure as Code everywhere

  • (Oncall - teams are responsible for their own apps)

 

Why Work With Us?

 
  • We offer industry-leading compensation and benefits

  • We are a bunch of smart, passionate, diverse co-workers who love to teach and love to learn

  • We provide whatever hardware and software you need to be productive

  • A functional, well-disciplined product development organization

  • Big changes are happening in publishing and at Condé Nast, and this is a great time to be a part of it all!

 
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Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Engineering Management
Engineering Manager
Machine Learning (ML)
Deep Learning
Python
Spark
NOSQL Databases
Chennai, Bengaluru (Bangalore)
10 - 13 yrs
₹30L - ₹50L / yr
Job Title: Engineering Manager
Job Location: Chennai
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.
Read more
Job posted by
Rajesh C
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Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Architecture
Technical Architecture
Solution architecture
Information architecture
Java Architecture for XML Binding (JAXBJava Architecture for XML Binding (JAXB))
Enterprise architecture
Software architecture
Architect
Django
Flask
Remote, Bengaluru (Bangalore)
10 - 15 yrs
₹45L - ₹65L / yr (ESOP available)

JOB DESCRIPTION

Role: Backend Architect

 

Amagi Background

 

Amagi is a SaaS platform that lets every content owner deliver their content to consumers anytime, anywhere, to any device. Amagi helps bring entertainment to hundreds of millions of consumers leading the transformation in media consumption. We believe in a connected ecosystem bringing content owners, distribution platforms, consumers and advertisers together to create great experiences.

Amagi grew by 136% last year and is on its way to double itself again this year. The market leader in FAST (Free Ad-supported Streaming TV), it delivers more than 500 media brands to 1500+ end points and is growing exponentially.

Amagi is looking for Software Architects with 8-12 yrs experience in high level & low level design and development of highly scalable software products.

Role reporting into: Director, Streaming TV - Distribution, Analytics & Monetization

Location: Bangalore, India

Key responsibilities include (but are not limited to):

  • You will lead a team of talented engineers to build the B2B products and services, as well as necessary frameworks, libraries and primitives to scale & connect our offerings together.
  • Architect, design, implement and maintain highly scalable backend systems that can scale to millions of concurrent users in production.
  • Derive next generation tools and technologies to support hundreds of high impactful customers on monetization products in production
  • Collaborate with the product, business, design and engineering functions to be on top of your team’s deliverables & milestones.
  • Timely delivery of highly reliable and scalable engineering architecture, and high quality, maintainable and operationally excellent code for your team.
  • Track & monitor team & individual performance, building continuous improvement into the process
  • Drive design discussions and code reviews
  • Identify and resolve performance and scalability issues
  • Hire the top talent for your team and mentor the team members.

Person Specifications

 

  • 8-12 years of software development experience with demonstrated ability to design, build, and deliver complex, successful engineering systems or products efficiently and with high quality.
  • Good understanding of technologies and architecture in a highly scalable and available set up.
  • Good understanding & expertise with highly transactional, large relational and complex systems
  • Strong object-oriented design skills, and an uncanny ability to design intuitive module and class-level interfaces.
  • Working knowledge of one or more backend technologies from among Java, Ruby-on-Rails, Python, Golang.
  • Well versed with development workflows for distributed systems deployed on the cloud (preferably AWS)
  • Establishing and maintaining unit, integration and system test mechanisms in staging, pre-production and production environments
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Job posted by
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Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Data Analytics
Data Visualization
PowerBI
Tableau
Qlikview
Spotfire
Python
SQL
Bengaluru (Bangalore)
2 - 4 yrs
₹10L - ₹14L / yr
1. 2 to 4 years of experience
2. hands on experience using python, sql, tablaue
3. Data Analyst 
About Amagi (http://www.amagi.com/" target="_blank">www.amagi.com): Amagi is a market leader in cloud based media technology services for channel creation, distribution and ad monetization. Amagi’s cloud technology and managed services is used by TV networks, content owners, sports rights owners and pay TV / OTT platforms to create 24x7 linear channels for OTT and broadcast and deliver them to end consumers. Amagi’s pioneering and market leading cloud platform has won numerous accolades and is deployed in over 40 countries by 400+ TV networks. Customers of Amagi include A+E Networks, Comcast, Google, NBC Universal, Roku, Samsung and Warner Media. This is a unique and transformative opportunity to participate and grow a world-class technology company that changes the tenets of TV. Amagi is a private equity backed firm with investments from KKR (Emerald Media Fund), Premji Invest and MayField. Amagi has offices in New York, Los Angeles, London, New Delhi and Bangalore. LinkedIn page : https://www.linkedin.com/company/amagicorporation" target="_blank">https://www.linkedin.com/company/amagicorporation News: https://www.amagi.com/about/newsroom/amagi-clocks-120-yoy-quarterly-growth-as-channels-on-its-platform-grows-to-400" target="_blank">https://www.amagi.com/about/newsroom/amagi-clocks-120-yoy-quarterly-growth-as-channels-on-its-platform-grows-to-400/ Cofounder on Youtube: https://www.youtube.com/watch?v=EZ0nBT3ht0E" target="_blank">https://www.youtube.com/watch?v=EZ0nBT3ht0E
 

About Amagi & Growth


Amagi Corporation is a next-generation media technology company that provides cloud broadcast and targeted advertising solutions to broadcast TV and streaming TV platforms. Amagi enables content owners to launch, distribute and monetize live linear channels on Free-Ad-Supported TV and video services platforms. Amagi also offers 24x7 cloud managed services bringing simplicity, advanced automation, and transparency to the entire broadcast operations. Overall, Amagi supports 500+ channels on its platform for linear channel creation, distribution, and monetization with deployments in over 40 countries. Amagi has offices in New York (Corporate office), Los Angeles, and London, broadcast operations in New Delhi, and our Development & Innovation center in Bangalore. Amagi is also expanding in Singapore, Canada and other countries.

Amagi has seen phenomenal growth as a global organization over the last 3 years. Amagi has been a profitable firm for the last 2 years, and is now looking at investing in multiple new areas. Amagi has been backed by 4 investors - Emerald, Premji Invest, Nadathur and Mayfield. As of the fiscal year ending March 31, 2021, the company witnessed stellar growth in the areas of channel creation, distribution, and monetization, enabling customers to extend distribution and earn advertising dollars while saving up to 40% in cost of operations compared to traditional delivery models. Some key highlights of this include:

·   Annual revenue growth of 136%
·   44% increase in customers
·   50+ Free Ad Supported Streaming TV (FAST) platform partnerships and 100+ platform partnerships globally
·   250+ channels added to its cloud platform taking the overall tally to more than 500
·   Approximately 2 billion ad opportunities every month supporting OTT ad-insertion for 1000+ channels
·   60% increase in workforce in the US, UK, and India to support strong customer growth (current headcount being 360 full-time employees + Contractors)
·   5-10x growth in ad impressions among top customers
 
Over the last 4 years, Amagi has grown more than 400%. Amagi now has an aggressive growth plan over the next 3 years - to grow 10X in terms of Revenue. In terms of headcount, Amagi is looking to grow to more than 600 employees over the next 1 year. Amagi is building several key organizational processes to support the high growth journey and has gone digital in a big way.
 
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Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Technical support
Tech Support
SQL
Informatica
PySpark
Bash
Chennai
5 - 7 yrs
₹20L - ₹30L / yr
Job Title: Support Engineer L3 Job Location: Chennai
We CondéNast are looking for a Support engineer Level 2 who would be responsible for
monitoring and maintaining the production systems to ensure the business continuity is
maintained. Your Responsibilities would also include prompt communication to business
and internal teams about process delays, stability, issue, resolutions.
Primary Responsibilities
● 5+ years experience in Production support
● The Support Data Engineer is responsible for monitoring of the data pipelines
that are in production.
● Level 3 support activities - Analysing issue, debug programs & Jobs, bug fix
● The position will contribute to the monitoring, rerun or reschedule, code fix
of pipelines for a variety of projects on a daily basis.
● Escalate failures to Data-Team/DevOps incase of Infrastructure Failures or unable
to revive the data-pipelines.
● Ensure accurate alerts are raised incase of pipeline failures and corresponding
stakeholders (Business/Data Teams) are notified about the same within the
agreed upon SLAs.
● Prepare and present success/failure metrics by accurately logging the
monitoring stats.
● Able to work in shifts to provide overlap with US Business teams
● Other duties as requested or assigned.
Desired Skills & Qualification
● Have Strong working knowledge of Pyspark, Informatica, SQL(PRESTO), Batch
Handling through schedulers(databricks, Astronomer will be an
advantage),AWS-S3, SQL, Airflow and Hive/Presto
● Have basic knowledge on Shell scripts and/or Bash commands.
● Able to execute queries in Databases and produce outputs.
● Able to understand and execute the steps provided by Data-Team to
revive data-pipelines.
● Strong verbal, written communication skills and strong interpersonal
skills.
● Graduate/Diploma in computer science or information technology.
About Condé Nast
CONDÉ NAST GLOBAL
Condé Nast is a global media house with over a century of distinguished publishing
history. With a portfolio of iconic brands like Vogue, GQ, Vanity Fair, The New Yorker and
Bon Appétit, we at Condé Nast aim to tell powerful, compelling stories of communities,
culture and the contemporary world. Our operations are headquartered in New York and
London, with colleagues and collaborators in 32 markets across the world, including
France, Germany, India, China, Japan, Spain, Italy, Russia, Mexico, and Latin America.
Condé Nast has been raising the industry standards and setting records for excellence in
the publishing space. Today, our brands reach over 1 billion people in print, online, video,
and social media.
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and
social platforms - in other words, a staggering amount of user data. Condé Nast made the
right move to invest heavily in understanding this data and formed a whole new Data
team entirely dedicated to data processing, engineering, analytics, and visualization. This
team helps drive engagement, fuel process innovation, further content enrichment, and
increase market revenue. The Data team aimed to create a company culture where data
was the common language and facilitate an environment where insights shared in
real-time could improve performance. The Global Data team operates out of Los Angeles,
New York, Chennai, and London. The team at Condé Nast Chennai works extensively with
data to amplify its brands' digital capabilities and boost online revenue. We are broadly
divided into four groups, Data Intelligence, Data Engineering, Data Science, and
Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create
data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create
diverse forms of self-expression. At Condé Nast, we encourage the imaginative and
celebrate the extraordinary. We are a media company for the future, with a remarkable
past. We are Condé Nast, and It Starts Here.
Read more
Job posted by
Rajesh C
Apply to job
Founded 2008  •  Product  •  500-1000 employees  •  Profitable
React.js
Javascript
HTML/CSS
RxJS
Chennai
5 - 7 yrs
₹20L - ₹30L / yr
Job Title: React_ Software Engineer Job Location: India
Job Summary
We Condé Nast are looking for React Developers who can design, develop, modify, debug
and/or maintain software code according to functional, non-functional and technical design
specifications and closely work with Data engineering, data science, and internal business
strategy teams as well as the CN suite of brands to develop Analytics Platform
Required Skills:
● 5+ Years of work experience.
● At least 2 Years of relevant work experience in React
● Experience in developing responsive Web Application Development
● Expert Programming experience in HTML, CSS, JavaScript and React JS
● Experience building reusable UI elements including trading grids, dialogs, and screen
navigation widgets
● Experience in Version control (Git)
● Demonstrated ability to work with remote team members, meet deadlines and work
in an agile environment
● Excellent communication skills Strongly Recommended:
● Experience with functional reactive programming methods (e.g. RxJS)
● Experience with async programming (e.g. Promises)
● Expert in React Hooks
● D3/other data visualization tools and libraries
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.
Read more
Job posted by
Rajesh C
Apply to job
Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
chennai
5 - 7 yrs
₹20L - ₹30L / yr
Job Title: Software Engineer - ML Job Location: Chennai
Job Summary
Condé Nast is seeking an experienced and highly motivated Software engineer-ML who will support
productionizing projects in a databricks environment for the data science team. We expect the person
to be a software/data engineer experienced in building robust ML systems & deploying ML pipelines
in production, Study and transform data science prototypes into an engineering product and is
knowledgeable about machine learning models.
**This role is NOT for building Machine Learning models **
Primary Responsibilities
● Operationalize ML models into production environment(s) by building data
pipelines ● Designing and developing Machine Learning Systems
● Keep abreast of developments in the field
● Come up with engineering ideas to resolve problems faced with respect to ML pipeline ●
Design and code highly scalable, machine learning frameworks processing large volumes of data
● Engineer a near-real-time system that can process massive amounts of data efficiently ●
Collaborate with other Machine Learning Engineers and Data Scientists in architecting &
engineering the solution
● Participate in the entire development lifecycle, from concept to release
● Participate in all phases of quality assurance and defect resolution
Desired Skills & Qualifications
● 5+ years software development experience with highly scalable systems involving
machine learning and big data
● Understanding of data structures, data modeling and software architecture
● Strong software development skills with proficiency in Python/Pyspark
● Experience with Big Data technologies such as Spark, Hadoop
● Familiarity with machine learning frameworks and libraries would be a good-to-have
skill ● Excellent communication skills
● Ability to work in a team
● Outstanding analytical and problem-solving skills
● Applicants should have a Undergraduate/Postgraduate degree in Computer Science or a
related discipline
About Condé Nast
CONDÉ NAST GLOBAL
Condé Nast is a global media house with over a century of distinguished publishing history. With a
portfolio of iconic brands like Vogue, GQ, Vanity Fair, The New Yorker and Bon Appétit, we at Condé Nast
aim to tell powerful, compelling stories of communities, culture and the contemporary world. Our
operations are headquartered in New York and London, with colleagues and collaborators in 32 markets
across the world, including France, Germany, India, China, Japan, Spain, Italy, Russia, Mexico, and Latin
America.
Condé Nast has been raising the industry standards and setting records for excellence in the publishing
space. Today, our brands reach over 1 billion people in print, online, video, and social media.
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social platforms -
in other words, a staggering amount of user data. Condé Nast made the right move to invest heavily in
understanding this data and formed a whole new Data team entirely dedicated to data processing,
engineering, analytics, and visualization. This team helps drive engagement, fuel process innovation,
further content enrichment, and increase market revenue. The Data team aimed to create a company
culture where data was the common language and facilitate an environment where insights shared in
real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at Condé
Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost online
revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data Science, and
Operations (including Product and Marketing Ops, Client Services) along with Data Strategy and
monetization. The teams-built capabilities and products to create data-driven solutions for better
audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We are a
media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.
Read more
Job posted by
Rajesh C
Apply to job
Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Selenium
Appium
Test Automation (QA)
Software Testing (QA)
JMeter
TestNG
Hadoop
SQL
Chennai
12 - 15 yrs
₹20L - ₹30L / yr
Job Title: QA Manager Job Location: India
Job Summary
Condé Nast is looking for a talented Software Quality Assurance Manager. In this role you will
be part of an IT organization and to provide direction and leadership on all quality matters
across the platform or domain. This is an opportunity to act as a key contributor in making sure
that work packages transition seamlessly from development into live environments Hone your
knowledge of quality best practices and collaboration and stakeholder management skills
Objectives of the Role
● Lead a global team of QE engineers who are responsible for ensuring E2E(end to end) quality
of our products
● Provide high direction for test teams delivering a clear and consistent vision
● Develop a roadmap for building needed test expertise. Establish and evolve formal QA
processes
● Define quality and automation KPI goals for the team and drive success towards achieving
them.
● To recommend, implement, and monitor preventative and corrective actions to ensure that
quality assurance standards are achieved
● Participate in brainstorming sessions and cross-departmental meetings to ensure collaborating
and cohesion
● Oversee all aspects of quality assurance including establishing metrics, implementing best
practices, and developing new tools and processes to ensure quality goals are met
● Act as a key point of contact for all QA aspects of releases, providing QA services and
coordinating QA resources internally and externally
● Review test strategies and test plans and ensure coverage for functional, performance and
scalability aspects are covered and tested
● Working cross functionally with Product and Engineering to ensure smooth delivery of product
that are on time, feature rich and with high quality
● Present QA status of testing with state-of-the-art dashboards and highlight key blockers and
where help is needed
● Ensure automated scripts are produced for E2E testing scenarios, including performance and
scale testing
● Review user found defects and continue to enhance and improve testing methodology and fill
gaps in testing as needed
● Communicate product status, key issues, and insights to key constituents across the
organization, including the executive team.
● Develop process for manual and automated testing strategy for business applications, web
applications and BI solutions.
● Experience in establishing testing strategy for dealing with quarterly releases by business
applications
Required Skills
● 12 + years’ experience in Product Quality testing role and 2-3 yrs in Management position
● Seasoned QA Manager with track record of delivering high quality products in a fast paced
environment
● Must have prior experience in building QA / Data Validation framework in bigdata for various
BU's
● Experience in "closing the loop" and "continuous improvement" of QA strategies based on
learnings from field issues
● Experience in business applications, web application, Business Intelligence applications
● Hands-on QA experience including testing automation. Deep knowledge of automation best
practices and industry trends.
● Good to have knowledge on One or more Test automation tools like xUnit , Selenium, Jmeter ,
Ranorex etc.
● Experience in automation testing using Selenium Webdriver, Testing Frameworks like TestNG
and NUnit.
● Strong proficiency in SQL coding (T-SQL or PL-SQL)
● Familiarity with data warehousing practices, ETL processing and denormalized data structures.
● Background in programming and testing across platforms is a plus
● Proficient with Bigdata concepts and/or tools is a plus (Hadoop, Hive, Spark).
● Strong analytical and reasoning skills
● Strong verbal, written communication skills and strong interpersonal skills.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.
Read more
Job posted by
Rajesh C
Apply to job
Founded 2008  •  Product  •  500-1000 employees  •  Profitable
campaign
Campaigns
Digital Campaign
Digital Marketing
Advertising
Marketing
Bengaluru (Bangalore)
3 - 5 yrs
₹10L - ₹15L / yr
Job Title: Campaign Analyst - Level 1 Job Location: Chennai
Overview
Condé Nast is looking for a Senior Campaign Analyst who will be responsible to cover
entire lifecycle of a campaign ranging from predicting affinity, optimization, influencer
impact, enhancing reach, frequency, etc.,
Primary Responsibilities
● Use CitizenNet software and social platforms to plan and implement strategies
and audience targeting for clients
● Build campaigns on Facebook, Instagram, Twitter and Snapchat design to
achieve client goals
● Day-to-day campaign management and performance monitoring with high
attention to detail
● Need to optimize campaigns towards client goals and objectives.
● Creation of reporting dashboards, reports and insights development.
● Assume ownership on high priority campaign planning, execution, and
analysis projects
● Contribute to the growth and success of your team and client base through
ideation and brainstorming.
Responsibilities:
● Minimum 1 yrs of experience in managing Facebook or any other social media
likeTwitter, LinkedIn, Snapchat campaigns with monthly budgets exceeding $10K
per month with an overall of 2+ yrs experience in Digital advertising/marketing.
● Must be certified either in any of the social media Platforms.
● Previous work experience of social media platforms for marketing
and/or advertising
● Ability to use spreadsheets, powerpoint to analyse data and spot trends
● Must be highly skilled in time management to facilitate involvement in
multiple campaigns and projects.
● Strong problem-solving, logical reasoning and critical-thinking skill
● Strong verbal, written communication skills and strong interpersonal
skills.
CONDÉ NAST GLOBAL
Condé Nast is a global media house with over a century of distinguished publishing
history. With a portfolio of iconic brands like Vogue, GQ, Vanity Fair, The New Yorker
and Bon Appétit, we at Condé Nast aim to tell powerful, compelling stories of
communities, culture and the contemporary world. Our operations are headquartered
in New York and London, with colleagues and collaborators in 32 markets across the
world, including France, Germany, India, China, Japan, Spain, Italy, Russia, Mexico,
and Latin America.
Condé Nast has been raising the industry standards and setting records for excellence
in the publishing space. Today, our brands reach over 1 billion people in print, online,
video, and social media.
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV,
and social platforms - in other words, a staggering amount of user data. Condé Nast
made the right move to invest heavily in understanding this data and formed a
whole new Data team entirely dedicated to data processing, engineering, analytics,
and visualization. This team helps drive engagement, fuel process innovation,
further content enrichment, and increase market revenue. The Data team aimed to
create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London.
The team at Condé Nast Chennai works extensively with data to amplify its brands'
digital capabilities and boost online revenue. We are broadly divided into four groups,
Data Intelligence, Data Engineering, Data Science, and Operations (including Product
and Marketing Ops, Client Services) along with Data Strategy and monetization. The
teams built capabilities and products to create data-driven solutions for better
audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create
diverse forms of self-expression. At Condé Nast, we encourage the imaginative and
celebrate the extraordinary. We are a media company for the future, with a
remarkable past. We are Condé Nast, and It Starts Here.
Read more
Job posted by
Rajesh C
Apply to job
Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Project Management
IT project management
Project Manager
Digital Marketing
Brand Management
Python
Java
Amazon Web Services (AWS)
Chennai
6 - 8 yrs
₹20L - ₹20L / yr
Job Title: Project Manager - Product Operations
Job Location: Chennai
Condé Nast is looking for a Project Manager - Product Operations who has proven
experience in project management and the ability to lead projects across various
teams. We are looking for a creative and dedicated individual who will fit with our
collaborative culture. You will be working closely across teams to ensure that all
project requirements, deadlines, and schedules are on track.
Primary Responsibilities
● Become a subject matter expert on experience with customer
segmentation, profiling, merchandising and targeting
● Produce high-level product requirements, iterate with design and
engineering teams.
● Engage and coordinate across teams to maintain product and strategy
alignment.•
● Manage the roadmap, prioritize product opportunities, refine feature ideas and
maintain existing features to drive business goals.
● Communicate project status, key issues and decisions, coordinate meetings
through the project lifecycle with appropriate business units and stakeholders
● Ensure delivery happen on time
● Focus on continual improvement and innovation through retrospective
Desired Skills & Qualification
● 6 to 8 years Project Management experience
● 1+ years of work experience in digital marketing / brand marketing
/ performance marketing in a consumer-centric business
● PMP certified
● A proven track record of working with engineers, and various stakeholders
to coordinate,plan, execute, and track product releases end to end.
● Experience managing data projects and online web applications
● Proven ability to manage multiple initiatives at the same time
● Excellent written and verbal communication skills
● Strong problem solving skills and willingness to think outside the box and roll
up one’s sleeves to get the job done
● Familiarity with agile software development methodologies.
● Proven ability to create clear, detailed, concise documentation -
Business Requirement, stories,
● Status reports, roadmaps, charts, etc. (please include samples)
● Proficient with one or more PM and Roadmap tools such as MS Project,
Jira, ProdPad, as well as MS Excel, Visio, PowerPoint and Word
● Experience and interest in media, publishing, and / or a related industry is a
plus
● Knowledge of UAT and QA/QC processes is an added advantage
● Strong understanding of technologies (Python, JS, Java, Cloud services, etc.) is
a plus
● Bachelor’s degree in business or information technology preferred.
About Condé Nast
CONDÉ NAST GLOBAL
Condé Nast is a global media house with over a century of distinguished publishing
history. With a portfolio of iconic brands like Vogue, GQ, Vanity Fair, The New Yorker
and Bon Appétit, we at Condé Nast aim to tell powerful, compelling stories of
communities, culture and the contemporary world. Our operations are headquartered
in New York and London, with colleagues and collaborators in 32 markets across the
world, including France, Germany, India, China, Japan, Spain, Italy, Russia, Mexico, and
Latin America.
Condé Nast has been raising the industry standards and setting records for excellence
in the publishing space. Today, our brands reach over 1 billion people in print, online,
video, and social media.
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and
social platforms - in other words, a staggering amount of user data. Condé Nast made
the right move to invest heavily in understanding this data and formed a whole new
Data team entirely dedicated to data processing, engineering, analytics, and
visualization. This team helps drive engagement, fuel process innovation, further
content enrichment, and increase market revenue. The Data team aimed to create a
company culture where data was the common language and facilitate an environment
where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London.
The team at Condé Nast Chennai works extensively with data to amplify its brands'
digital capabilities and boost online revenue. We are broadly divided into four groups,
Data Intelligence, Data Engineering, Data Science, and Operations (including Product
and Marketing Ops, Client Services) along with Data Strategy and monetization. The
teams-built capabilities and products to create data-driven solutions for better
audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create
diverse forms of self-expression. At Condé Nast, we encourage the imaginative and
celebrate the extraordinary. We are a media company for the future, with a remarkable
past. We are Condé Nast, and It Starts Here.
Read more
Job posted by
Rajesh C
Apply to job
Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Machine Learning (ML)
Data Science
Python
SQL
Artificial Intelligence (AI)
Chennai
10 - 12 yrs
Best in industry
Job Title: Data Science Manager
Job Location: India
Job Summary
We at CondeNast are looking for a data science manager for the content intelligence
workstream primarily, although there might be some overlap with other workstreams. The
position is based out of Chennai and shall report to the head of the data science team, Chennai
Responsibilities:
1. Ideate new opportunities within the content intelligence workstream where data Science can
be applied to increase user engagement
2. Partner with business and translate business and analytics strategies into multiple short-term
and long-term projects
3. Lead data science teams to build quick prototypes to check feasibility and value to business
and present to business
4. Formulate the business problem into an machine learning/AI problem
5. Review & validate models & help improve the accuracy of model
6. Socialize & present the model insights in a manner that business can understand
7. Lead & own the entire value chain of a project/initiative life cycle - Interface with business,
understand the requirements/specifications, gather data, prepare it, train,validate, test the
model, create business presentations to communicate insights, monitor/track the performance
of the solution and suggest improvements
8. Work closely with ML engineering teams to deploy models to production
9. Work closely with data engineering/services/BI teams to help develop data stores, intuitive
visualizations for the products
10. Setup career paths & learning goals for reportees & mentor them
Required Skills:
1. 5+ years of experience in leading Data Science & Advanced analytics projects with a focus on
building recommender systems and 10-12 years of overall experience
2. Experience in leading data science teams to implement recommender systems using content
based, collaborative filtering, embedding techniques
3. Experience in building propensity models, churn prediction, NLP - language models,
embeddings, recommendation engine etc
4. Master’s degree with an emphasis in a quantitative discipline such as statistics, engineering,
economics or mathematics/ Degree programs in data science/ machine learning/ artificial
intelligence
5. Exceptional Communication Skills - verbal and written
6. Moderate level proficiency in SQL, Python
7. Needs to have demonstrated continuous learning through external certifications, degree
programs in machine learning & artificial intelligence
8. Knowledge of Machine learning algorithms & understanding of how they work
9. Knowledge of Reinforcement Learning
Preferred Qualifications
1. Expertise in libraries for data science - pyspark(Databricks), scikit-learn, pandas, numpy,
matplotlib, pytorch/tensorflow/keras etc
2. Working Knowledge of deep learning models
3. Experience in ETL/ data engineering
4. Prior experience in e-commerce, media & publishing domain is a plus
5. Experience in digital advertising is a plus
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.
Read more
Job posted by
Rajesh C
Apply to job
Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Data architecture
Architecture
Data Architect
Architect
Java
Scala
Python
Spark
ETL
Amazon Web Services (AWS)
Chennai
15 - 18 yrs
Best in industry
Job Title: Data Architect
Job Location: Chennai
Job Summary

The Engineering team is seeking a Data Architect. As a Data Architect, you will drive a
Data Architecture strategy across various Data Lake platforms. You will help develop
reference architecture and roadmaps to build highly available, scalable and distributed
data platforms using cloud based solutions to process high volume, high velocity and
wide variety of structured and unstructured data. This role is also responsible for driving
innovation, prototyping, and recommending solutions. Above all, you will influence how
users interact with Conde Nast’s industry-leading journalism.
Primary Responsibilities
Data Architect is responsible for
• Demonstrated technology and personal leadership experience in architecting,
designing, and building highly scalable solutions and products.
• Enterprise scale expertise in data management best practices such as data integration,
data security, data warehousing, metadata management and data quality.
• Extensive knowledge and experience in architecting modern data integration
frameworks, highly scalable distributed systems using open source and emerging data
architecture designs/patterns.
• Experience building external cloud (e.g. GCP, AWS) data applications and capabilities is
highly desirable.
• Expert ability to evaluate, prototype and recommend data solutions and vendor
technologies and platforms.
• Proven experience in relational, NoSQL, ELT/ETL technologies and in-memory
databases.
• Experience with DevOps, Continuous Integration and Continuous Delivery technologies
is desirable.
• This role requires 15+ years of data solution architecture, design and development
delivery experience.
• Solid experience in Agile methodologies (Kanban and SCRUM)
Required Skills
• Very Strong Experience in building Large Scale High Performance Data Platforms.
• Passionate about technology and delivering solutions for difficult and intricate
problems. Current on Relational Databases and No sql databases on cloud.
• Proven leadership skills, demonstrated ability to mentor, influence and partner with
cross teams to deliver scalable robust solutions..
• Mastery of relational database, NoSQL, ETL (such as Informatica, Datastage etc) /ELT
and data integration technologies.
• Experience in any one of Object Oriented Programming (Java, Scala, Python) and
Spark.
• Creative view of markets and technologies combined with a passion to create the
future.
• Knowledge on cloud based Distributed/Hybrid data-warehousing solutions and Data
Lake knowledge is mandate.
• Good understanding of emerging technologies and its applications.
• Understanding of code versioning tools such as GitHub, SVN, CVS etc.
• Understanding of Hadoop Architecture and Hive SQL
• Knowledge in any one of the workflow orchestration
• Understanding of Agile framework and delivery

Preferred Skills:
● Experience in AWS and EMR would be a plus
● Exposure in Workflow Orchestration like Airflow is a plus
● Exposure in any one of the NoSQL database would be a plus
● Experience in Databricks along with PySpark/Spark SQL would be a plus
● Experience with the Digital Media and Publishing domain would be a
plus
● Understanding of Digital web events, ad streams, context models
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right
move to invest heavily in understanding this data and formed a whole new Data team
entirely dedicated to data processing, engineering, analytics, and visualization. This team
helps drive engagement, fuel process innovation, further content enrichment, and increase
market revenue. The Data team aimed to create a company culture where data was the
common language and facilitate an environment where insights shared in real-time could
improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The
team at Condé Nast Chennai works extensively with data to amplify its brands' digital
capabilities and boost online revenue. We are broadly divided into four groups, Data
Intelligence, Data Engineering, Data Science, and Operations (including Product and
Marketing Ops, Client Services) along with Data Strategy and monetization. The teams built
capabilities and products to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are
Condé Nast, and It Starts Here.
Read more
Job posted by
Rajesh C
Apply to job
Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Engineering Management
Engineering Manager
Engineering Head
Head of Engineering
Engineering Director
Director of Engineering
Vp of Engineering
Engineering Leader
Java
NodeJS (Node.js)
Python
Android Development
iOS App Development
Chennai
12 - 15 yrs
Best in industry
Job Title: Engineering Manager
Job Location: Chennai
Job Summary

The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.
Read more
Job posted by
Rajesh C
Apply to job