Devops / QA Engineer – Risk & Trading
| Company | Sleeper |
|---|---|
| Location | Las Vegas, NV, USA, Seattle, WA, USA, San Francisco, CA, USA, Los Angeles, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level |
Requirements
- 3+ years of experience in DevOps, SRE, or QA roles—preferably in high-availability or finance/gaming-related environments.
- Strong Python skills with experience in test frameworks (e.g., Pytest, Hypothesis).
- Experience with CI/CD pipelines (GitHub Actions, CircleCI, or similar) and infrastructure automation tools (Terraform, Ansible).
- Familiarity with cloud environments (GCP preferred) and container orchestration (Docker, Kubernetes).
- Strong analytical and troubleshooting skills; a passion for finding edge cases and preventing failure modes.
Responsibilities
- Design, build, and maintain CI/CD pipelines for trading and pricing services (Python & Elixir).
- Develop infrastructure as code (Terraform, GCP-native tools) for deploying and scaling trading infrastructure.
- Build automated QA pipelines to test settlement, pricing accuracy, and edge-case simulations across sporting events.
- Work closely with engineers and data scientists to validate data integrity and model behavior in production.
- Monitor system performance and implement observability tools (Prometheus, Grafana, etc.) to identify and mitigate production risks.
- Create fault-injection tests and run load-testing simulations that replicate real-world market stress.
- Participate in post-mortem reviews and help create actionable feedback loops for continuous improvement.
Preferred Qualifications
- Understanding of real-time systems, pricing engines, or risk models is a big plus.
- Bonus: Experience with Elixir or functional programming environments.