Lead Software Engineer

Overview

Epsilon is looking for a Lead Engineer to help drive the design, delivery, technical strategy, and execution of core capabilities for Epsilon Clean Room, our privacy‑first data collaboration platform. In this role, you will lead through technical expertise, partner closely with product, architecture, and engineering stakeholders, and build scalable solutions that enable secure, data‑rich collaboration for enterprise clients.

Responsibilities

What You’ll Do

• Deliver large‑scale cloud‑native data platforms primarily on AWS using REST APIs, microservices, 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, AWS services, event‑driven architecture, 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.
• Lead product‑wide technical initiatives focused on performance optimization, scalability, reliability, security, governance, and cost efficiency.
• Mentor and guide junior engineers, fostering a culture of innovation, accountability, collaboration, and technical excellence.

Qualifications

• Education: Bachelor’s degree in computer science, Information Technology, or a related technical field.
• Experience: 8+ years of software engineering experience designing, building, and maintaining large‑scale production applications.
• Architecture: Proven expertise in distributed systems, microservices design, and building robust REST APIs.
• Tech‑Stack: Strong hands‑on proficiency across the modern JavaScript/TypeScript ecosystem, including modern frontend frameworks (e.g., React, Next.js) and server‑side runtimes/frameworks like Node.js, Express.js, NestJS, or Fastify.
• Data: Comprehensive experience with event‑driven architectures and messaging technologies (Kafka, RabbitMQ, SNS/SQS), alongside broad proficiency across relational and NoSQL databases (PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, Redis).
• Infrastructure: Deep experience building cloud‑native applications on a major cloud platform (AWS, Azure, or GCP), utilizing core services for object storage, serverless compute, API management, and event routing.
• DevOps: Experience with Infrastructure as Code (IaC) tools like Terraform or Ansible, CI/CD pipeline automation, and comprehensive testing strategies.
• AI: Practical experience leveraging agent‑assisted coding tools (e.g., Cursor, Claude Code) to optimize software delivery velocity without compromising on code quality.

Preferred Qualifications

• Education: Master’s degree in Computer Science, Information Technology, or a related technical field.
• Experience: 10+ years of software engineering experience building enterprise‑grade, highly scalable distributed systems.
• 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.

Benefits

Base Salary: $119,600.00 - $222,000.00 Annually.

• 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

Who Thrives Here

This is a strong opportunity for a lead engineer who enjoys solving complex technical problems, shaping platform direction through hands‑on leadership, and mentoring others through example. If you are excited by the idea of building scalable, privacy‑first data systems in a fast‑moving environment, this role offers meaningful scope and impact.

Equal Opportunity

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 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 , commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.