Engineering Manager

Job Title: Engineering ManagerJob Location: ChennaiJob SummaryThe Engineering Org is looking for a proficient Engineering Manager to join a team that is building excitingand futuristic Data Products at Condé Nast to enable both internal and external marketers to targetaudiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technicaland architectural decisions. EM will own engineering deliverables inclusive of solving dependenciessuch as architecture, solutions, sequencing, and working with other engineering delivery teams.This roleis also responsible for driving innovation, prototyping, and recommending solutions. Above all, you willinfluence 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 & MLEngineering team part of Engineering Data Organization.● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformationand Storage● Utilizing product mindset to build, scale and deploy holistic data products after successfulprototyping and drive their engineering implementation● Provide technical coaching and lead direct reports and other members of adjacent support teamsto 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 highquality 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 resolvingthe cause.● Required Skills● 4+ years of managing Software Development teams, preferably in ML and DataEngineering 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, BigData 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 developmentguidance.● 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 NastCONDÉ NAST INDIA (DATA)Over the years, Condé Nast successfully expanded and diversified into digital, TV, and socialplatforms - in other words, a staggering amount of user data. Condé Nast made the right move toinvest heavily in understanding this data and formed a whole new Data team entirely dedicated todata processing, engineering, analytics, and visualization. This team helps drive engagement, fuelprocess innovation, further content enrichment, and increase market revenue. The Data teamaimed to create a company culture where data was the common language and facilitate anenvironment 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 atCondé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boostonline revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, DataScience, and Operations (including Product and Marketing Ops, Client Services) along with DataStrategy and monetization. The teams built capabilities and products to create data-driven solutionsfor 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 ofself-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. Weare a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.