Senior Software Engineer, Quality Engineering

Stack

Responsibilities

• ▹Design and build automated test frameworks across the 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
• ▹Build and maintain CI/CD pipelines using GitHub Actions and Google Cloud Build
• ▹Design and execute load, stress, and scalability tests to ensure the platform can handle growing demand
• ▹Introduce chaos engineering practices: fault-injection and resilience experiments
• ▹Standardize tooling and infrastructure to improve 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

Requirements

• ▹5+ years of experience as a software engineer building and maintaining production systems
• ▹Experience writing code in strongly typed languages, with at least 1 year of Go experience
• ▹Fluency with AI-assisted engineering, actively using LLM-based tools in your workflow
• ▹Experience building and maintaining CI pipelines, ideally with GitHub Actions or Google Cloud Build
• ▹Experience designing and building automated test frameworks, understanding the challenges microservices pose for reliable integration and end-to-end testing
• ▹Familiarity with Kubernetes beyond the basics, able to write a Helm chart with relative ease and follow security best practices
• ▹Startup experience, comfortable with technical debt and undocumented processes
• ▹Ownership of tasks from requirements gathering through implementation, deployment, and monitoring

Nice to have

• ▹Used AI/LLM tooling to build QA automation: test generation, flaky-test triage, or incident-to-regression pipelines
• ▹Experience with Python or TypeScript, building efficient Dockerfiles and secure container images
• ▹Implemented load tests with k6 (REST) and ghz (gRPC), analyzed pprof/trace output
• ▹IaC deployments with Argo CD or Terraform, experience with Google Cloud Platform and Google Kubernetes Engine
• ▹Familiarity with Tilt and experience writing a Kubernetes Operator
• ▹Practiced chaos engineering with tools like Chaos Mesh, LitmusChaos, or Gremlin
• ▹Familiarity with testing event-driven systems using Kafka or Redpanda

Soft skills

What we offer

• ▹Competitive salary and stock options
• ▹Health benefits
• ▹One-time new-hire home-office setup stipend of USD 500
• ▹Monthly stipend of USD 150 via a Brex card

About the company

Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure provider for stocks, ETFs, options, crypto, fixed income, and 24/5 trading. Its Series D round brought total investment to over $320 million. Alpaca serves hundreds of financial institutions across 40 countries through its institutional-grade APIs, totalling over 9 million brokerage accounts. The team is 380+ people globally distributed across the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond.