onsite
Senior Software Engineer - AI Platform Engineer - CloudBees
Devops Engineer
Lead the design and scaling of AI‑enabled platform services that ingest development signals, power CI/CD pipelines, and drive production observability using Python, Kubernetes, and AWS.
About the role
Key Responsibilities
- Architect and build scalable platform services that ingest and process signals from pipelines, pull requests, source code, tests, and incidents.
- Integrate AI models into the software delivery lifecycle to automate triage, diagnostics, and resolution recommendations.
- Collaborate with cross‑functional teams to define data pipelines, feature stores, and model serving infrastructure.
- Ensure high availability, performance, and security of AI‑enabled services in production.
- Mentor junior engineers and drive best practices in platform engineering, CI/CD, and ML Ops.
Requirements
- 5+ years of experience building production‑grade platform services in a cloud environment.
- Strong proficiency in Python, Kubernetes, and AWS (or equivalent cloud provider).
- Hands‑on experience with CI/CD tooling (GitHub Actions, Jenkins, ArgoCD) and observability platforms.
- Background in machine learning or AI model deployment and monitoring.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonkubernetescicdaws