Amagi Media Labs
https://www.amagi.comAbout
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Jobs at Amagi Media Labs
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Vue.js
AngularJS (1.x)
Angular (2+)
React.js
JavascriptGood Communication Skills
Good in Restful webservices, Spring, Hibernate etc
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data Science
Machine Learning (ML)
Amazon Web Services (AWS)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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Python
JavaJob 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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Javascript
NodeJS (Node.js)React.js
MongoDBJob 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
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
JavascriptNodeJS (Node.js)React.jsJob 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!
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Machine Learning (ML)
Deep LearningPythonJob 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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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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