Sr. Platform Engineer
Role details
Job location
Tech stack
Job description
Backend & Systems Development
- Design and build backend services, APIs, and internal platforms that enable other teams to move faster
- Develop automation and tooling using modern backend languages (e.g., Go, Python, Kotlin, Node, or similar)
- Contribute to service architecture decisions, including service-to-service communication patterns, data access strategies, and resiliency models
- Review code and architectural designs with a focus on performance, operability, and long-term maintainability
Developer Enablement
- Create self-service interfaces, documentation, and workflows that reduce friction for application teams
- Enable product teams to consume AI powered platform capabilities through secure, self service interfaces
- Improve CI/CD pipelines, release automation, and deployment strategies
- Advocate for platform-as-a-product thinking: usability, adoption, and developer experience matter
- Partner with product managers and engineers to understand developer pain points and translate them into platform capabilities
Requirements
Must be an AI-first developer who uses Claude Code, CodeX, Cursor, etc. The team uses Claude Code but they are open to any coding tool. Strong Python coding skills with API development experience Multiple AWS services Platform Engineering experience with back-end development and automation experience (cloud ops, SRE, internal tooling, etc.)
Nice to Have
- Full stack experience (React, frontend tooling, or internal UI development), though not required
- Familiarity with LLM platforms, agent frameworks, or AI enabled developer tooling (commercial or open source)
- Experience with Kubernetes, service meshes, or container orchestration platforms
- Familiarity with security and compliance concepts in regulated environments
- Prior experience on SRE, product, platform, or internal tooling teams
Plus GitHub Actions experience Experience working on a developer self-service portal or something similar building software that makes things easier for software developers at a large company, * Strong experience in cloud infrastructure engineering and backend service development
-
Demonstrated experience for working in AI native engineering environments, where AI tools, agents, and automation are treated as core collaborators in the development process
-
Hands-on experience with: o Infrastructure as Code (Terraform strongly preferred)
-
One or more backend languages (Go, Python, Kotlin, Node, Java, etc.)
-
Solid understanding of distributed systems concepts: scalability, resilience, observability, and failure modes
-
Experience building or operating CI/CD pipelines and release automation
Platform Mindset
- Ability to think in terms of platforms and products, not just individual systems
- Comfort working with abstractions while still understanding what's underneath
- Experience enabling other teams through tooling, automation, and guardrails
- Strong written and verbal communication skills, especially for explaining complex systems clearly
- Self-starting, able to contribute to roadmap, and take initiative with features and user stories