Senior Software Engineer, Quality Engineering

Who We Are:

Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.

Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.

We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.

As a Senior Software Engineer on the Platform team, you will build and own the frameworks, tooling, and CI/CD infrastructure that let Alpaca's engineers ship new features quickly and reliably. This is a software engineering role at its core: you will spend most of your time writing Go, designing automated test frameworks, and digging into application code and Kubernetes when needed.

Just as importantly, you will help redefine how we use AI to raise the bar on quality - leveraging LLMs and AI-driven tooling to generate tests, catch regressions before they ship, and turn every incident into durable, automated coverage. We are looking for engineers who treat quality as an engineering discipline and see AI as a force multiplier for it - people who build the systems that make testing fast, reliable, and effortless for the teams that depend on them.

• Design and build automated test frameworks across our REST and gRPC API surface.
• Leverage AI and LLM-based tooling to accelerate test generation, harden regression coverage, and turn production incidents into automated tests - embedding these practices into the frameworks the whole engineering org relies on.
• Build and maintain CI/CD pipelines - we use a mix of Git Hub Actions and Google Cloud Build.
• Design and execute load, stress, and scalability tests to ensure our platform can handle growing demand.
• Introduce chaos engineering practices - designing fault-injection and resilience experiments that surface failure modes before our customers do.
• Standardize tooling and infrastructure to improve the day-to-day developer experience.
• Partner with other teams to raise test coverage, reliability, and speed across services.
• Dig into application code to root-cause failures and drive fixes to completion.
• Mentor and guide product engineers, fostering a culture of quality and continuous improvement.

• You have 5+ years of experience as a software engineer building and maintaining production systems.
• You have written code in strongly typed languages and have at least 1 year of experience with Go.
• You are fluent with AI-assisted engineering - you actively use LLM-based tools in your workflow and have a clear point of view on where they elevate quality (and where they don’t).
• You have built and maintained CI pipelines before - ideally with Git Hub Actions or Google Cloud Build.
• You have designed and built automated test frameworks, and you understand the challenges microservices pose for reliable integration and end-to-end testing.
• You are familiar with Kubernetes beyond the basics - you can write a Helm chart for a new service with relative ease, you understand best practices around security, and you have prior job experience or certifications to…