Senior Software Engineer, Platform Engineering

1 · Design, build, and maintain platform services, APIs, SDKs, and internal tools used across engineering teams

2 · Own platform services end-to-end — from design and implementation through production operation and continuous improvement, writing high-quality, testable code throughout

3 · Design and improve CI/CD workflows and developer automation with a focus on usability and efficiency

4 · Apply distributed systems and backend engineering principles to design scalable, resilient services and APIs

5 · Production ownership of the services and tools you build — including observability, debugging, and incident response

• Expert-level proficiency in TypeScript/Node.js building production-grade APIs, services, developer tools, and developer-facing UIs (React or similar), with strong automated testing practices (unit, integration, E2E) 

• Strong software engineering fundamentals — distributed systems, API design, and production backend services, with a proven ability to make pragmatic trade-offs across scalability, reliability, and developer experience

• Working proficiency with observability (metrics, logging, distributed tracing, SLI/SLO frameworks) and production ownership of services you build — including incident response and post-mortems

• Strong proficiency with Kubernetes — building software abstractions and APIs, extending capabilities through custom controllers and operators

• Strong proficiency designing and building CI/CD pipelines optimized for security, compliance, and developer experience

• Working proficiency with Infrastructure as Code (Terraform, Pulumi), GitOps practices, and cloud-native environments

•  Strong communication, influence, and documentation skills — able to drive adoption of platform patterns, translate technical complexity for diverse audiences, and produce ADRs, runbooks, and developer- facing documentation

• Experience building internal developer platforms or platform-as-a-product initiatives, including developer portals and self-service tooling 
• Experience with AI/ML integration: LLM APIs, intelligent automation, AI-assisted developer tooling, and agentic patterns
• Working proficiency with cloud security practices (IAM, secret handling, encryption), compliance tooling (HIPAA, SOC 2, HITRUST), or cloud cost optimization (FinOps)