Lead Software Engineer

Lead Software Engineer

Epsilon is looking for a Lead Software Engineer to drive the design, delivery, technical strategy, and execution of key capabilities within 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, secure solutions that enable enterprise clients to collaborate on and derive value from data while preserving privacy. You will play a pivotal role in advancing the platform's Clean Room Insights capabilities while maintaining the highest standards of privacy, security, and data governance.

What will you do:

• Deliver and evolve large-scale cloud-native data platforms on AWS, leveraging REST APIs, microservices, and event-driven architectures to build resilient, secure, and high-performing systems.
• Work hands-on across frontend, API, backend, and data platform layers to design, build, and operate solutions that power Clean Room capabilities.
• 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 scalability, performance optimization, 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 and/or data engineering experience designing, building, and operating large-scale production systems and platforms.
• Architecture: Proven experience leading the architecture and technical design of large-scale distributed systems, modern web applications, microservices, event-driven platforms, and APIs, with a strong focus on scalability, reliability, security, and maintainability.
• Application Engineering: Strong experience building end-to-end applications across frontend, API, and backend layers using modern JavaScript/TypeScript technologies, including frameworks such as React, Next.js, Node.js, Express.js, NestJS, or Fastify.
• Data & Messaging: Comprehensive experience with messaging technologies (Kafka, RabbitMQ, SNS/SQS) and relational and NoSQL databases (PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, Redis) supporting scalable, high-throughput applications.
• Data Engineering: Proven experience designing and building large-scale data platforms and batch/streaming data pipelines using technologies such as Spark/PySpark, Databricks, and modern cloud-native data technologies.
• Infrastructure: Deep experience building cloud-native applications on a major cloud platform (AWS, Azure, or GCP), leveraging services for object storage, compute, API management, event routing, and data processing.
• DevOps: Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible, CI/CD pipeline automation, observability, and comprehensive testing strategies.
• AI: Practical experience leveraging agent-assisted coding tools (e.g., Cursor, Claude Code) to improve engineering productivity and software delivery velocity while maintaining high standards of code quality.

Preferred Qualifications:

• Data: Experience with lakehouse architectures, modern analytics platforms, or privacy-centric data collaboration environments such as Databricks, Snowflake, or similar technologies.
• AI: Practical exposure to Generative AI architectures, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and autonomous agentic systems.

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.

Because You Matter:

As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to: Flexible time off (FTO), 14 paid holidays, paid sick time, parental/new child leave, childcare & elder care assistance, adoption assistance, 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 who need accommodations to complete the application process. For San Francisco Bay and Los Angeles Areas: Epsilon will consider qualified applicants with criminal histories for employment 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.