Software Developer, Backend Developer, DevOps

Software Engineer (APIs & Developer Tools) will build shared services, APIs, and developer tooling that help engineering teams deliver value safely and quickly. This role leans toward software development (high-quality APIs, automation, and tools), with working knowledge of cloud, Dev Ops, and SRE practices. Design and build internal and customer‑facing APIs and services that are secure, reliable, and well‑documented. Create developer tools and platform services that improve developer experience (DX): templates, CLIs, libraries, service scaffolding, automation.

Apply engineering best practices: test‑driven development, code review, CI, and safe deployment patterns. Engineer for operability: structured logging, metrics/tracing, health endpoints, and actionable alerts.

• Strong software engineering experience delivering production services/APIs (design, implementation, testing, and operations).
• Proficiency in at least one backend language (e.g., Java, Go, C#, Python, Type Script) and modern API practices.
• Experience with API design and lifecycle management (versioning, backward compatibility, pagination, error modeling).
• Strong testing discipline (unit/component/integration tests) and comfort refactoring safely.
• Ability to debug across layers (application, runtime, platform) using logs/metrics/traces.
• Experience building and maintaining platform APIs (internal 'product' mindset: usability, docs, support, adoption).
• Security experience: OAuth/OIDC concepts, least privilege, threat modeling, input validation.
• Experience with Kubernetes and infrastructure as code in partnership with platform/SRE teams.
• Quality is non‑negotiable: tests, clear design, observability, and secure defaults.

• 6+ years of IT Experience including 4+ years of development.
• Python – The candidate can write production‑grade Python to automate platform workflows and build internal tooling – not just write scripts, but ship tested, documented code.
• Go – The candidate can write performant, concurrent Go programs for platform services – CLIs, API handlers, K8s operators, or automation tooling.
• Docker – The candidate can author production‑quality container images and understand the container lifecycle.
• Kubernetes – The candidate can deploy, troubleshoot, and operate workloads on Kubernetes – and understand the platform layer.
• REST APIs – The candidate can design, implement, and version production APIs with proper error modeling, pagination, and backward compatibility – and treat them as products with users.
• Linux – The candidate can operate, debug, and troubleshoot Linux systems at a level that supports production platform work – networking, process management, permissions, and performance.
• Google Cloud Platform – The candidate can provision, operate, and troubleshoot Google Cloud Platform services that power a cloud‑native platform – not just point‑and‑click console work.
• Tekton – The candidate can design and maintain CI/CD pipelines as code using Tekton – understanding tasks, pipeline definitions, triggers, and how they fit into a Git Ops workflow.
• React – The candidate can build internal developer‑facing UIs – dashboards, tooling interfaces, or self‑service portals – using React. This is not a frontend‑first role, but the ability to build usable internal tools is valued.

Bachelor's Degree

Hybrid / 4 Full days in office, 1 remote