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AlpacaAlpacaUnited States

Senior Software Engineer, Quality Engineering

Senior Software Engineer building automated test frameworks, CI/CD infrastructure, and AI-powered quality tools in Go and Kubernetes for a global fintech API platform. Requires 5+ years production software engineering experience, strong Go and Kubernetes skills, and experience with LLM tools for testing.

Salary not listed
Remote5+ YOEQA Engineering

About the role

Responsibilities

  • Design and build automated test frameworks across 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.
  • Introduce chaos engineering practices with fault-injection and resilience experiments.
  • Standardize tooling and infrastructure to improve 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.
  • Mentor and guide product engineers on 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.
  • Fluent with AI-assisted engineering and LLM-based tools, with a clear point of view on their use for quality.
  • Experience building and maintaining CI pipelines, ideally with GitHub Actions or Google Cloud Build.
  • Experience designing and building automated test frameworks, understanding challenges of microservices for integration and end-to-end testing.
  • Familiarity with Kubernetes beyond basics: able to write Helm charts, understand security best practices, with prior experience or certifications.
  • Previous startup experience.
  • Ability to take tasks from start to finish: gathering requirements, implementing solutions, deploying, and monitoring.

Nice-to-Haves

  • Experience using AI/LLM tooling for QA automation such as test generation, flaky-test triage, or incident-to-regression pipelines.
  • Experience writing code in Python or TypeScript; building efficient Dockerfiles and secure container images.
  • Experience with load tests using k6 (REST) and ghz (gRPC), analyzing pprof/trace output.
  • Experience with IaC using Argo CD or Terraform; experience with Google Cloud Platform, Google Kubernetes Engine, Tilt, or writing Kubernetes Operators.
  • Experience with chaos engineering using tools like Chaos Mesh, LitmusChaos, or Gremlin.
  • Familiarity with testing event-driven systems using Kafka or Redpanda.

Compensation and Benefits

  • Competitive Salary & Stock Options
  • Health Benefits
  • New Hire Home-Office Setup: One-time USD $500
  • Monthly Stipend: USD $150 per month via a Brex Card

Skills

GoKubernetesHelmGitHub Actionsgoogle cloud buildLLMsai-assisted engineeringCI/CDchaos engineeringDockerTerraformargo cdKafkaPythonTypeScript

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