Senior Software Engineer

What You’ll do:

• Own a production GitOps deployment API and CLI (TypeScript/Node, NestJS) that a large share of our services depend on to ship—operating it reliably, evolving its capabilities, and being the engineer teams turn to when a deploy doesn’t go as planned.
• Maintain and extend self-service deployment tooling built on ArgoCD ApplicationSets and Helm that rolls services out to GCP Cloud Run, including its manifest schema, chart, and ApplicationSet integration.
• Own a shared internal TypeScript package ecosystem (an Nx monorepo) consumed across dozens of services, plus the application ingress / edge-routing layer and its Helm charts—keeping consumers unblocked and the contracts stable.
• Build high-performance internal tools and APIs in Go (Golang) to manage infrastructure metadata and lifecycle.
• Design complex, long-running workflows using durable execution frameworks (like Temporal) to orchestrate tasks across Git, cloud providers, and CI/CD pipelines.
• Develop and implement Model Context Protocol (MCP) servers and Agentic AI workflows to automate the creation, upgrading, and auditing of infrastructure configurations.

What you bring:

• 8+ years of software engineering experience, or equivalent, including building and operating infrastructure, platform, or delivery systems that other teams depend on.
• Strong experience in at least one of the following:
• Delivery / GitOps tooling — ArgoCD (ideally ApplicationSets), Helm, GitHub Actions, and the GitOps model of declarative, Git-driven deployment
• Backend services & shared libraries at scale—building APIs and reusable packages that many other services consume
• Proficiency in Go or TypeScript/JavaScript, with hands-on experience in—or a genuine willingness to ramp quickly on—the other. The delivery systems you’ll inherit are TypeScript/Node (NestJS, in an Nx monorepo); our automation platform core is Go. We’ll support you getting strong in your second language.
• A demonstrable understanding of software architecture, design patterns, and building scalable RESTful APIs.
• Experience with Kubernetes (K8s), serverless runtimes (GCP Cloud Run or equivalent), and major cloud providers (GCP and AWS).
• Comfort inheriting an unfamiliar, production-critical system from a transitioning team—prioritizing, asking the right questions before the original owners leave, documenting as you go, and stabilizing before reshaping.

Bonus Point:

• Experience operating a deployment platform that other teams depend on.
• Experience with Temporal (or similar workflow engines like Cadence or Airflow) for stateful distributed systems.
• Proficiency with Terraform, including modular, reusable modules.
• Practical experience with Agentic AI, MCP (Model Context Protocol), or A2A (Agent-to-Agent) frameworks.