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. Why are we looking for you? 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. What will you enjoy in this role? 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. Responsibilities 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, TypeScript, JavaScript, Angular, AWS services, event‑driven architectures, and SQL/NoSQL 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. Qualifications 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 EventBridge 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 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. 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 and Awareness about Generative AI technologies, including LLMs, RAG architectures, and Agentic AI systems. Nice to have Working knowledge of PySpark with Databricks. Experience working with Azure and/or Google Cloud Platform (GCP). Experience building data platforms in privacy‑safe or Customer Data Platforms and Marketing Technology environments. Benefits Time to Recharge: Flexible time off (FTO), 15 paid holidays Time to Recover: Paid sick time Family Well-Being: Parental/new child leave, childcare & elder care assistance, adoption assistance Extra Perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling Epsilon benefits are subject to eligibility requirements and other terms. Epsilon is an Equal Opportunity Employer. Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants needing accommodations to complete the application process. Please reach out to View email address on click.appcast.io to request an accommodation. For San Francisco Bay and Los Angeles Areas: Epsilon will consider for employment qualified applicants with criminal histories in a manner consistent with the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901‑4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply. Compensation Compensation Range: USD $88,900.00 – USD $165,100.00 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401(k), and paid time off. The application deadline for this job posting is 8/20/2026. #J-18808-Ljbffr