Job Description

We are looking for an Automation Engineer who thrives in fast-moving environments, enjoys building systems that remove friction, and takes pride in making engineering teams faster and more reliable through smart automation.


What You’ll Do:


Automation & Systems Engineering

  • Design, build, and maintain automation frameworks across testing, CI/CD, infrastructure, and internal workflows
  • Identify manual, repetitive processes and replace them with scalable automated solutions
  • Partner with engineering, product, and data teams to embed automation into the development lifecycle

CI/CD & DevOps Enablement

  • Build and optimize CI/CD pipelines to improve deployment speed, reliability, and observability
  • Automate build, test, release, and rollback processes
  • Improve developer experience by reducing cycle time and failure rates

Quality & Reliability Automation

  • Develop automated testing strategies (unit, integration, regression, end-to-end)
  • Implement monitoring, alerting, and self-healing mechanisms where possible
  • Ensure automation supports security, compliance, and performance requirements

Tooling & Platform Ownership

  • Own internal tools and automation platforms end-to-end
  • Evaluate and introduce new automation tools, frameworks, or services when they meaningfully improve outcomes
  • Write clear documentation and enablement guides for teams



What We’re Looking For:


Core Experience

  • 4+ years of experience as an Automation Engineer, Software Engineer, DevOps Engineer, or similar role
  • Strong programming experience in one or more of: Python or Go,
  • Experience building automation frameworks rather than only using them


Technical Skills

  • CI/CD tools (GitHub Actions, GitLab CI, Jenkins, or similar)
  • Infrastructure automation (Terraform, CloudFormation, Pulumi, or equivalents)
  • Cloud platforms (AWS, GCP, or Azure)
  • Containerization and orchestration (Docker, Kubernetes preferred)
  • Automated testing frameworks and tooling


Nice to Have

  • Experience supporting AI/ML or data-heavy systems
  • Familiarity with observability tools (Datadog, Prometheus, Grafana, etc.)
  • Security or compliance automation experience
  • Startup or high-growth company experience

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