Why This Role
You'll work on infrastructure that actually matters — powering multiple product teams in a modern, AI-augmented platform environment. You won't be maintaining legacy scripts alone in a corner. You'll be collaborating closely with principals, architects, and product engineers, doing high-quality technical work and being a clear, reliable voice across teams.
The Role
Platform engineering is changing. The best senior engineers today aren't the ones who write the most code — they're the ones who can reason about complex systems, communicate clearly about tradeoffs, and use every tool available (including AI) to move faster and ship better.
We're hiring a Senior Platform Engineer who thrives in that environment. You'll implement and maintain the infrastructure platform that powers multiple product teams, contribute to architectural decisions, and be a dependable partner to the engineers who build on top of it.
What You'll Do
- Implement and maintain cloud infrastructure across multi-environment, multi-project setups — following established patterns and raising a flag when something doesn't look right
- Write and review Terraform — you understand state, modules, and what a plan diff is actually telling you
- Build and maintain CI/CD pipelines with modern, keyless authentication patterns (OIDC/WIF — no static credentials)
- Manage Kubernetes clusters in production — Workload Identity, private networking, node configuration
- Apply and reinforce security and IAM best practices: least privilege, secrets management, org policies
- Do high-quality PR reviews — catching what the linter misses, spotting blast-radius issues, communicating feedback clearly
- Collaborate with product and platform teams using GitHub, Jira, or Azure DevOps — you can translate between technical and non-technical clearly
- Use AI tooling to accelerate your work — for planning, code review, documentation, triage
What We're Looking For
- Cloud: You've shipped real things on AWS or GCP — ideally both, but if you know one deeply, you can learn the other. We're primarily GCP-native, and that's a genuine differentiator if you have it; if you don't, we care more that you've operated cloud infrastructure at scale and can pick things up fast. Infrastructure as Code Terraform is your primary IaC tool. You've managed multi-environment configurations, written reusable modules, dealt with state issues, and you know why iam_member is safer than iam_policy.
- Kubernetes: You've run GKE or EKS in production. You understand Workload Identity, private cluster design, and how to debug something that won't schedule.
- CI/CD GitHub Actions is your home base. You've built pipelines that use OIDC-based cloud auth — not JSON credentials in secrets.
- Security mindset IAM, secrets management, WIF/OIDC, org policies — you think about this by default, not as an afterthought.
- Networking fundamentals: VPCs, subnets, DNS, NAT, firewalls. You can design it or at least read it and know what questions to ask.
- Communication: You write clearly, give useful code review feedback, and can explain a technical tradeoff to someone who isn't deep in the stack. Being a reliable, low-drama collaborator matters as much as your technical chops.
- Code fluency: You may not write code every day — that's fine. But you can read Python and Bash, understand what a script is doing, and write something small when you need to.
Bonus Points
- Experience with both AWS and GCP
- Strong PR reviewer — you've been the person who catches the architectural problem before it merges
- Comfortable with AI-assisted development: Claude Code, Copilot, or similar as a daily driver
- Jenkins experience for legacy pipeline work
- Familiarity with Jira and Azure DevOps in parallel
- Multi-cloud networking (VPN, peering, DNS across providers)
The Stack
- GCP-native infrastructure, Terraform, GitHub Actions with WIF, GKE, Cloud SQL, Redis, BigQuery, Cloud DNS, Cloud Monitoring and Logging, Secret Manager, Python and Bash. AI tooling is a first-class part of how the team works.
