Senior Software Engineer
Build and operate production-critical GitOps deployment platforms, shared tooling, APIs, and durable infrastructure workflows. The role requires 8+ years of software engineering experience, strong Go or TypeScript skills, and expertise with cloud, Kubernetes, and delivery systems.
About the job
Responsibilities
- Own and operate a production GitOps deployment API and CLI built with TypeScript, Node.js, and NestJS.
- Maintain and extend self-service deployment tooling using Argo CD ApplicationSets and Helm for rolling services out to Google Cloud Run.
- Maintain the deployment manifest schema, Helm chart, and ApplicationSet integration.
- Own a shared internal TypeScript package ecosystem in an Nx monorepo consumed by dozens of services.
- Maintain the application ingress and edge-routing layer and its Helm charts.
- Build high-performance internal tools and APIs in Go to manage infrastructure metadata and lifecycle.
- Design long-running workflows with durable execution frameworks such as Temporal, orchestrating tasks across Git, cloud providers, and CI/CD pipelines.
- Develop Model Context Protocol (MCP) servers and agentic AI workflows for creating, upgrading, and auditing infrastructure configurations.
- Stabilize and document unfamiliar, production-critical systems before reshaping them.
Requirements
- 8+ years of software engineering experience, or equivalent, including building and operating infrastructure, platform, or delivery systems relied upon by other teams.
- Strong experience with delivery or GitOps tooling, including Argo CD, ApplicationSets, Helm, GitHub Actions, and declarative Git-driven deployment; or backend services and shared libraries consumed by many services.
- Proficiency in Go or TypeScript/JavaScript, with experience in or willingness to quickly learn the other.
- Understanding of software architecture, design patterns, and scalable RESTful API development.
- Experience with Kubernetes, serverless runtimes such as Google Cloud Run, and major cloud providers including Google Cloud and AWS.
- Ability to inherit and stabilize a production-critical system from a transitioning team.
Nice to Have
- Experience operating a deployment platform relied upon by other teams.
- Experience with Temporal or similar workflow engines such as Cadence or Airflow.
- Proficiency with Terraform, including modular and reusable modules.
- Practical experience with agentic AI, Model Context Protocol (MCP), or Agent-to-Agent (A2A) frameworks.
Skills
TypeScript, Node.js, Nestjs, Go, Argo Cd, Helm, GitHub Actions, Kubernetes, Google Cloud Run, GCP, AWS, Temporal, Terraform, Mcp, Nx
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