Platform Engineer

About the role

As a Platform Engineer, you will own the platforms, tools, and automation that underpin the engineering ecosystem. You'll automate infrastructure, streamline deployments, improve observability, and build reliable release processes. Your work will provide the foundations that empower development teams to deliver software quickly, safely, and consistently.

Key responsibilities

• Design, build, and maintain automation for standing up GCP and Kubernetes environments end-to-end, actively reducing manual toil and driving operational efficiency across development teams

• Build and harden secure, automated CI/CD pipelines (e.g., GitHub Actions, GitLab CI/CD) to ensure rapid, reliable, and repeatable deployments of containerized services

• Build robust monitoring, alerting, and logging into GCP/Kubernetes environments from the ground up, leading structured incident response, and driving continuous improvement in operational maturity

• Design and implement automated tooling to streamline system and data migrations, ensuring legacy workloads are transitioned to modern containerized platforms with minimal risk and manual intervention

• Integrate core systems and platform components—including API gateways, service meshes, event-driven architectures, and messaging queues—to enable highly reliable, decoupled architectures

• Break down ambiguous, multi-system problems and solve them systematically in close, cross-functional collaboration with the wider engineering organization

About you

• Strong hands-on experience managing and scaling cloud infrastructure on Google Cloud Platform (GCP) and orchestrating containerized workloads utilizing Kubernetes (GKE)

• Proven capability to design, build, and maintain automation for standing up GCP and Kubernetes environments end-to-end

• Hands-on expertise building and hardening secure, automated CI/CD pipelines (e.g., GitHub Actions, GitLab CI/CD)

• Practical experience building robust monitoring, alerting, and logging into GCP/Kubernetes environments from the ground up

• Experience designing and implementing automated tooling to streamline system and data migrations

• Strong background integrating core systems and platform components—including API gateways, service meshes, event-driven architectures, and messaging queues

• Comfort operating in an AI-assisted engineering environment, leveraging modern tools (e.g., Claude, GitHub Copilot)

• Demonstrated ability to break down ambiguous, multi-system problems and solve them systematically in close, cross-functional collaboration