Senior Software Engineer

Overview

Epsilon is looking for a Senior Software Engineer to help build and enhance core capabilities for Epsilon Clean Room, our privacy-first data collaboration platform. In this role, you will contribute as a strong individual contributor, partner with product, architecture, and engineering teams, and develop scalable solutions that enable secure, data-rich collaboration for enterprise clients.

What You’ll Do

• Build and maintain cloud-native data platform features on AWS using REST APIs, microservices, and event-driven applications to support scalable and resilient systems.
• Work hands-on across the technology stack, including Node.js, Type Script, JavaScript, Express.js, AWS services, event-driven architecture, and SQL/No
  
  SQL databases, to deliver high-quality software solutions.
• Collaborate with engineering, product management, and architecture teams to translate requirements into reliable technical solutions.
• Own the design, development, testing, deployment, and support of assigned software components and services.
• Contribute to improvements in performance, scalability, reliability, security, and operational excellence across the platform.
• Write clean, maintainable code, participate in code reviews, and support team engineering standards and documentation.

• Education:
  
  Bachelor’s degree in computer science, Information Technology, or a related technical field.
• Experience:
  
  5+ years of software engineering experience designing, building, and maintaining production applications.
• Architecture:
  Experience building distributed systems, microservices, and robust REST APIs.
• Tech-Stack:
  Strong hands‑on proficiency with JavaScript/Type Script, Node.js, and modern backend development frameworks and practices.
• Data:
  
  Experience with event-driven architectures, messaging technologies, and relational or No
  
  SQL databases.
• Infrastructure:
  Experience developing cloud-native applications on AWS, Azure, or GCP using core platform services.
• Dev Ops:
  Experience with CI/CD pipelines, automated testing, and modern software development practices.
• AI:
  Practical experience leveraging agent-assisted coding tools (e.g., Cursor, Claude Code) to optimize software delivery velocity without compromising on code quality.

• Education:
  
  Master’s degree in Computer Science, Information Technology, or a related technical field.
• Experience:
  
  8+ years of software engineering experience building scalable, enterprise‑grade applications.
• Data:
  Hands‑on experience with modern, big data platforms and processing frameworks such as Databricks, Snowflake, or PySpark.
• AI:
  Practical exposure to Generative AI architectures, including Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), and autonomous agentic systems.

This is a strong opportunity for an experienced software engineer who enjoys solving complex technical problems, delivering high-quality software, and contributing to scalable platform capabilities through hands‑on engineering. If you are excited by the idea of building privacy‑first data systems in a fast‑moving environment, this role offers meaningful technical impact.

Base Salary: $ - $

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.

07/13/2026

Our benefits encompass a wide range of offerings, including but not limited to the following:

• 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 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…