Senior Software Engineer, Quality Engineering

Job description

About this role

Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth.

Responsibilities

• 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.
• 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 GitHub Actions and Google Cloud Build.
• Design and execute load, stress, and scalability tests to ensure our platform can handle growing demand.

Qualifications and requirements

• 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 GitHub 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 prove this.