about 5 hours ago
Responsibilities
- Design and build end-to-end automation pipelines for cluster provisioning and new region builds.
- Automate infrastructure lifecycle tasks by translating operator workflows into API-driven pipelines.
- Build tooling for monitoring, alerting, and telemetry pipelines for new regions.
- Integrate automation into existing CI/CD systems with proper release controls.
- Contribute to the AI Ops Incident Intelligence Platform by building agents and orchestration layers.
- Develop AI-powered change risk scoring and production readiness gates.
- Build automated rollback capabilities triggered by business-level signals.
- Collaborate with cross-functional teams to identify and automate high-toil workflows.
- Build and maintain Model Context Protocol server integrations for AI agents.
- Design solutions with sovereign isolation requirements in mind.
Requirements
- 5 or more years of software engineering experience with a focus on backend systems or infrastructure automation.
- Production-grade experience in Python or Go, with familiarity in TypeScript or Node.js as a plus.
- Deep experience with AWS services and multi-account architectures.
- Hands-on experience building automation that interacts with REST or GraphQL APIs.
- Familiarity with CI/CD systems and infrastructure-as-code tooling.
- Demonstrated ability to build AI-powered workflows using LLM APIs.
- Strong understanding of distributed systems and cloud-native observability.
- Excellent communication skills for translating complex systems into documentation.
- A bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.