Senior Software Engineer

About Business Unit:

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.

Why are we looking for you

At Epsilon, we run on our people's ideas. It's how we solve problems and exceed expectations. Our team is now growing, and we are on the lookout for talented individuals who always raise the bar by constantly challenging themselves and are experts in building customized solutions in the digital marketing space. So, are you someone who wants to work with cutting-edge technology and enable marketers to create data-driven, omnichannel consumer experiences through data platforms Then you could be exactly who we are looking for. Apply today and be part of a creative, innovative, and talented team that's not afraid to push boundaries or take risks.

What will you enjoy in this role

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

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.

• 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 Node.js, TypeScript, JavaScript, Express.js, NetJS, AWS services, event-driven architectures, and SQL/NoSQL databases - to solve complex engineering challenges and maintain platform excellence.
• Lead product wide technical initiatives focused on performance optimization, scalability, reliability, security, governance, and cost efficiency.
• Partner 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.
• Mentor and guide junior engineers, fostering a culture of innovation, accountability, collaboration, and technical excellence.
• 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, and distributed systems.
• Strong hands-on expertise in Node.js, TypeScript, JavaScript, Express.js, NestJS, and Fastify.
• Extensive experience with AWS services such as S3, Lambda, API Gateway, and EventBridge for building scalable, reliable, cloud-native data platforms.
• Strong experience with messaging and event-driven technologies such as Kafka, RabbitMQ, SNS, and SQS, along with solid expertise in relational and NoSQL databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis.
• Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform and Ansible.
• Strong understanding of CI/CD and DevOps practices using tools such as Jenkins, GitHub/GitLab, 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 to Generative AI technologies, including LLMs, RAG architectures, and Agentic AI systems, with experience designing and deploying AI-driven solutions.

Nice to have:

• Working knowledge on PySpark & Databricks.
• Experience working with Azure and/or Google Cloud Platform (GCP).
• Experience building data platforms in privacy-safe or cleanroom environments.

About Epsilon

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.