Senior Software Engineer
Listed on 2026-06-04
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Software Development
Cloud Engineer - Software, Software Engineer
Overview
The 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.
Whyare 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 skilled individuals who always improve 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 innovative 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 dedicated team that’s not afraid to push boundaries or take risks.
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/No
SQL 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.
- 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, Lambda, API Gateway, and Event Bridge for building scalable, reliable, cloud‑native data solutions.
- Experience with messaging technologies such as Kafka, and expertise in relational and No
SQL databases including SQL Server and Mongo
DB. - Experience implementing robust testing strategies, including unit, integration, and regression testing, while adhering to engineering best practices.
- Strong understanding of CI/CD and Dev Ops practices using tools such as Jenkins, Git Hub/Git Lab, 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.
- 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.
Base Salary: $88,900.00 – $ Annually. Actual…
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