Senior Manager Software Engineering

Publicis Groupe; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

Publicis Groupe is seeking a Senior Manager Software Engineering in Bengaluru, India to lead a high-performing engineering team developing scalable data-intensive platforms for digital marketing. The role requires expertise in big data, managing engineering teams, and driving architectural decisions to ensure system reliability and performance.

With over 10 years of software engineering experience, the ideal candidate will foster a culture of accountability and innovation while partnering with product managers to shape technical roadmaps.

Qualifications

• 10+ years of software engineering experience.
• 3–4+ years managing and leading engineering teams.
• Strong system design and communication skills.

Responsibilities

• Lead and mentor a team of data-platform engineers.
• Own execution and delivery predictability.
• Drive architectural decisions and best practices.

Skills

Team leadership

Big data processing

Cloud-native systems

System design

Stakeholder management

Data processing optimization

Tools

AWS

Apache Spark

Docker

Kubernetes

Job description

Overview

The Product team forms the crux of our powerful platforms and helps connect millions of customers worldwide with the brands that matter most to them. This team develops products that position us as a differentiator, encouraging an open and balanced marketplace built on respect for individuals, where every brand interaction holds value. Our full‑cycle product engineering and data teams use industry‑standard methodologies and sophisticated capabilities in data, machine learning, and artificial intelligence to chart the future and set new benchmarks for our products.

Senior Manager Software Engineering who leads a high‑performing engineering organization building scalable, data‑intensive platforms in the digital marketing and attribution space. The role combines people leadership, delivery ownership, and architectural influence with deep hands‑on credibility in big data, batch processing, and cloud‑native distributed systems.

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 Will 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.

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

• 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 terabyte 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 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.