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Manager Software Engineering

Publicis Groupe
Bengaluru, IND
Full-time
Manager · 10+ years experience
Discovered 2 weeks ago
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What You'll Achieve:

Build and sustain a high-performing, engaged engineering team

Deliver scalable, reliable platforms that support growing data and traffic demands

Improve system observability, stability, and operational maturity

Set a higher standard on engineering quality and execution across teams

Management Qualifications:

10+ years of software engineering experience

3–4+ years managing and leading engineering teams

Strong system design, communication, and stakeholder management skills

Experience defining and tracking engineering metrics (delivery, quality, reliability)

Ability to mentor junior and mid-level engineers and develop future technical leaders

Domain & Product Focus

Attribution product development

Design, implement, and optimize data processing and batching solutions at scale

Build, schedule, and maintain DAG workflows and attribution/forecasting engines

End-to-end ownership: requirements definition, development, documentation, and stakeholder collaboration

Core Technical Stack:

Area: Technologies & Skills

Big Data: Scala, Apache Spark, Hadoop (HDFS, YARN, MapReduce)

Languages: Scala (primary), Python (infrastructure modules)

Cloud: AWS (primary), GCP as needed; cloud-native distributed systems

Data: SQL at TB scale, RDBMS/warehouse, Performance Optimization, Operability

Workflows: DAG scheduling, batch pipeline orchestration

DevOps: Docker, Kubernetes, CI/CD pipelines, Git

Testing: Unit and integration test frameworks

Nice to Have / Advantageous

Databricks — Notebooks, Delta Lake, Catalogues

Observability & analytics — Tableau, Power BI, Grafana

Event-driven / streaming architectures

Experience in ad-tech / martech and large-scale data platforms

Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.

Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.

Our pillars aren't just words. They're how we show up every day.

People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.

Collaboration: We work together, support one another, and collectively achieve goals.

Growth: There are endless opportunities for growth through learning, development and career advancement.

Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.

Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.

Act with integrity

Work together to win together

Innovate with purpose

Respect all voices

Empower with accountability

These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose.

Epsilon is an Equal Opportunity Employer. Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.

Qualifications

  • Management Qualifications: - 10+ years of software engineering experience - 3–4+ years managing and leading engineering teams - Strong system design, communication, and stakeholder management skills - Experience defining and tracking engineering metrics (delivery, quality, reliability) - Ability to mentor junior and mid-level engineers and develop future technical leaders Technical Depth: Domain & Product Focus - Attribution product development - Design, implement, and optimize data processing and batching solutions at scale - Build, schedule, and maintain DAG workflows and attribution/forecasting engines - End-to-end ownership: requirements definition, development, documentation, and stakeholder collaboration Core Technical Stack: - Area: Technologies & Skills - Big Data: Scala, Apache Spark, Hadoop (HDFS, YARN, MapReduce) - Languages: Scala (primary), Python (infrastructure modules) - Cloud: AWS (primary), GCP as needed; cloud-native distributed systems - Data: SQL at TB scale, RDBMS/warehouse, Performance Optimization, Operability - Workflows: DAG scheduling, batch pipeline orchestration - DevOps: Docker, Kubernetes, CI/CD pipelines, Git - Testing: Unit and integration test frameworks Nice to Have / Advantageous - Databricks — Notebooks, Delta Lake, Catalogues - Observability & analytics — Tableau, Power BI, Grafana - Event-driven / streaming architectures - Experience in ad-tech / martech and large-scale data platforms

Responsibilities

  • - Lead, mentor, and grow a team of data-platform engineers delivering critical platform capabilities - Own execution, delivery predictability, and technical quality for the team - Drive architectural decisions and engineering best practices for the data-processing systems - Partner with product managers to define roadmaps and translate business goals into technical plans - Foster a culture of ownership, accountability, and continuous improvement - Provide regular feedback, coaching, and career development guidance - Ensure systems meet standards for scalability, performance, security, and reliability - Improve engineering processes, CI/CD maturity, and operational excellence What You'll Achieve: - Build and sustain a high-performing, engaged engineering team - Deliver scalable, reliable platforms that support growing data and traffic demands - Improve system observability, stability, and operational maturity - Set a higher standard on engineering quality and execution across teams

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