Senior Software Engineer

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 of innovative problem solvers develops and builds products that position Epsilon 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 chart the future and set new benchmarks for our products, by using industry standard methodologies and sophisticated capabilities in data, machine learning, and artificial intelligence.

Driven by a passion for delivering smart end-to-end solutions, this team plays a key role in Epsilon’s success story.

We are on the lookout for dedicated individuals who set the standard by challenging themselves and are experts in building customized solutions within the digital marketing space.

As a Senior Software Engineer in the CDP team, you will drive design, delivery, technical strategy, and execution for critically important data systems. You will define engineering standards, influence long‑term platform direction, mentor junior engineers, and ensure the CDP and Foundations platform scales securely and reliably to support sustained business growth.

• Deliver large‑scale cloud‑native data platforms primarily on AWS leveraging REST APIs, micro services and event‑driven applications to build highly scalable and resilient systems.
• Work hands‑on across the technology stack – including Java, Python, Spark, Type Script, JavaScript, Angular, AWS services, event‑driven architectures, and SQL/No
  
  SQL databases – to solve complex engineering challenges and maintain platform excellence.
• Drive performance optimization, scalability, reliability, security, governance, and cost efficiency.
• Collaborate and develop closely with global engineering, product management, architecture, and business stakeholders to align technical solutions with strategic business objectives.
• Own the end‑to‑end software development lifecycle, including requirements gathering, solution design, development, deployment, observability, and documentation.

• B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or a related field.
• 5‑8 years of strong software engineering experience, with deep expertise in building scalable UX driven applications and distributed systems architecture.
• Proven experience designing and building scalable REST APIs, microservices, Kubernetes, and distributed systems.
• Experience in Data Warehousing, Data Lakes, Delta Lake architecture, and modern big data ecosystem designs.
• Strong hands‑on expertise in Python, Java, Angular and well‑versed with Object oriented design patterns and Functional programming.
• Experience in PySpark, and Apache Spark, with proven experience building high‑performance distributed data processing solutions.
• Depth in Micro‑services development with Kubernetes containerization for eventing and serving.
• Experience with AWS services such as S3, Lambda, API Gateway, and Event Bridge for building scalable, reliable, cloud‑native data platforms.
• Strong experience with messaging and event‑driven technologies such as Kafka, SNS, and SQS, along with solid expertise in relational and No
  
  SQL databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis.
• Hands‑on experience with Infrastructure as Code (IaC) tools such as Terraform and Ansible.
• Understanding of CI/CD and Dev Ops practices using tools such as Jenkins, Git Hub/Git Lab, Bitbucket, GoCD, and automated deployment pipelines.
• Experience implementing robust testing strategies, including unit, integration, and regression testing, while adhering to engineering best practices.
• Strong critical thinking and analytical skills, with the ability to diagnose, troubleshoot, and solve complex technical problems effectively.
• Exposure and Awareness about Generative AI technologies, including LLMs, RAG architectures, and Agentic AI systems.

• Working knowledge of PySpark with Databricks.
• Experience working with Azure and/or Google…