Remotely
pythonawskubernetesgcpsparkairflowtemporalkubeflow
Job Description
📋 Description
- Hands-on engineering role building and scaling platform features across the full software lifecycle.
- Contribute to evolution toward distributed, agentic-ready architecture for AI workflows.
- Collaborate with engineering and product peers to translate requirements into technical solutions.
- Deliver critical features for the Physical AI platform used by large engineering teams.
- Support reliability, observability, and SRE practices (monitoring, incident response, performance
🎯 Requirements
- 6+ years of software engineering experience.
- Strong Python development skills with production experience.
- Experience with distributed systems and backend services end-to-end.
- Designing APIs and service interfaces; security-minded development (OAuth, secure-by-default).
- Production experience with Kubernetes; familiarity with workflow orchestration tools (Temporal
- Cloud platform experience (AWS preferred; Azure & GCP a plus).
🎁 Benefits
- Medical, dental, and vision insurance – 100% paid by employer.
- Life Insurance and disability coverage.
- Flexible Spending Account / Health Savings Account where applicable.
- Tuition Reimbursement and Employee Stock Purchase Program (ESPP).
- Mental wellness benefits and family-forming support.
- Flexible PTO and casual work environment.