OverviewThe Product team forms the crux of our powerful platforms and connects millions of customers to the product magic. This team of innovative problem solvers develop and build products that help Epsilon be a market differentiator. They map the future and set new standards for our products, empowered with industry's standards, ML and AI capabilities. The team passionately delivers intelligent end-to-end solutions and plays a key role in Epsilon's success story.
ResponsibilitiesWhat will you enjoy in this role?As a Senior Software Engineer in the CDP team, you will be driving delivery, and execution for critically important data systems. You will define engineering standards, implement the protocols, mentor junior engineers, and ensure the CDP platform scales securely and reliably to support sustained business growth.
What will you do?- Deliver large-scale cloud-native data platforms primarily on AWS using Databricks and distributed processing frameworks to build highly scalable and resilient systems.
- Work hands-on across the technology stack - including Python, Java PySpark, Apache Spark, Databricks, AWS services, event-driven architectures, and SQL/NoSQL databases - to solve complex engineering challenges and maintain platform excellence.
- 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.
- Design and develop reusable, maintainable and scalable components and actively participate in the architecture discussions, technical design reviews, code reviews.
- Mentor and guide junior engineers, fostering a culture of innovation, accountability, collaboration, and technical excellence.
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 significant expertise in large-scale data engineering and distributed systems architecture.
- Experience in Data Warehousing, Data Lakes, Delta Lake architecture, and modern big data ecosystem designs.
- Deep hands-on expertise in Databricks, Python, PySpark, and Apache Spark, with proven experience building high-performance distributed data processing solutions.
- Strong experience with AWS services such as S3, and Lambda, API Gateway, and EventBridge for building scalable, reliable, cloud-native data.
- Experience with messaging technologies such as Kafka, along with strong expertise in relational and NoSQL databases including SQL Server and MongoDB.
- Experience implementing robust testing strategies, including unit, integration, and regression testing, while adhering to engineering best practices.
- Strong understanding of CI/CD and DevOps practices using tools such as Jenkins, GitHub/GitLab, Bitbucket, and automated deployment pipelines. Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform and Ansible.
- Strong critical thinking and analytical skills, with the ability to diagnose, troubleshoot, and solve complex technical problems effectively.
Nice to have- AWS and Databricks certifications.
- Experience working with Azure and/or Google Cloud Platform (GCP).
- Exposure to Generative AI technologies including LLMs, RAG architectures, and Agentic AI systems, with experience designing and deploying AI-driven solutions.
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Base Salary: $88,900.00 - $165,100.00 Annually
Actual compensation within the range will be dependent upon, but not limited to the individual's skills, experience, qualifications, location and application employment laws. The salary pay range is subject to change and may be modified at any time.
The application deadline for this job posting is 07/13/2026.
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