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Strong employer brand and metro location, but senior niche platform skills reduce applicant density.
Specialized internal platform and enterprise infrastructure experience required, limiting cross-industry transferability.
Explicit 12+ years and mandatory Kubernetes, service-mesh, IaC, and platform experience enforce strict filters.
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Own the design and implementation of a composable test environment platform enabling 10,000 engineers to spin up isolated, production-representative virtual environments for integration testing.
Lead development and maintenance of traffic routing, dependency resolution, resource scheduling, and stateful provisioning across hybrid Kubernetes and AWS infrastructure.
Drive adoption and governance of AI-enabled engineering workflows to improve code quality, delivery speed, and operational outcomes at scale.
12+ years professional software engineering experience with large-scale infrastructure platform or developer tooling.
Strong proficiency in Go, Rust, or Java for building production-grade platform services.
Deep experience with Kubernetes (on-premises and EKS) including namespace management, custom controllers, multi-tenancy, and networking.
Hands-on experience with infrastructure-as-code tools (Terraform, Ansible) and CI/CD pipeline integration (Jenkins, Spinnaker, GitHub Actions, Argo CD).
Technical leader comfortable operating across hybrid cloud and on-premises Kubernetes infrastructure at scale with multi-tenancy and composable environment platforms.
Experienced in stateful service provisioning for diverse data stores and complex distributed systems design focusing on scalability and resilience.
Proven ability to lead team adoption of enterprise-authorized AI-assisted development practices with strong understanding of responsible AI governance.