Staff Engineer - DevOps

Accountabilities

• Define and drive the technical vision, architecture, and roadmap for the internal developer platform, including Backstage catalog strategy, plugin architecture, and platform APIs.

• Establish organization-wide standards for golden paths, self-service workflows, and reusable infrastructure patterns across provisioning, CI/CD, environments, and observability.

• Evaluate build-versus-buy decisions, assessing Backstage plugins, third-party internal developer platform solutions, and custom development based on cost, scalability, and engineering impact.

• Partner with engineering leaders across product, SRE, security, and data teams to align platform priorities with organizational goals and identify high-value investments.

• Define, monitor, and report on platform health and developer experience metrics, including DORA metrics, self-service adoption, lead time to production, and ticket deflection.

• Lead platform adoption across engineering teams, developing migration strategies for legacy infrastructure and workflows toward standardized, self-service solutions.

• Architect scalable infrastructure and platform capabilities across multi-account AWS environments, EKS/Kubernetes, and Terraform/Terragrunt module ecosystems.

• Embed security, compliance, and automated guardrails into platform capabilities to ensure secure-by-default practices across a regulated, global environment.

• Champion AI-enabled engineering by evaluating and scaling AI coding assistants, agentic tools, and LLM-powered workflows, including AI-assisted scaffolding, incident triage, and documentation generation.

• Mentor senior engineers, influence technical direction across teams, and build alignment around platform standards and long-term engineering strategy.

Requirements

• 8+ years of experience in DevOps, Platform Engineering, or Site Reliability Engineering, including at least 3 years in a senior, staff, or equivalent technical leadership role.

• Demonstrated experience owning the architecture and roadmap of an internal developer platform at scale; Backstage experience is strongly preferred, particularly with catalog design, plugin ecosystems, and extensibility.

• Proven ability to drive organization-wide adoption of self-service workflows and golden paths, including change management across multiple engineering teams.

• Expert knowledge of AWS services and cloud-native architecture at scale, including multi-account environments, VPC design, IAM policies, and networking.

• Deep experience with Kubernetes, preferably EKS, as well as Docker and Helm, including the design of platform-level abstractions for container orchestration.

• Advanced Infrastructure as Code expertise with Terraform and Terragrunt, including designing reusable module ecosystems that support self-service across teams.

• Strong scripting and automation skills in Python, Bash, and TypeScript/Node.js, including experience developing Backstage plugins and extensible platform tooling.

• Experience defining CI/CD strategy and standards across engineering organizations, using tools such as GitHub Actions, Argo CD, TeamCity, or comparable technologies.

• Strong understanding of observability and developer experience measurement, with the ability to connect platform investments to measurable outcomes such as DORA metrics, lead time, and adoption rates.

• Extensive knowledge of networking, security hardening, and regulatory compliance, including experience implementing automated, secure-by-default platform guardrails.

• A track record of mentoring senior engineers, influencing technical decisions across teams, and guiding broader engineering initiatives without relying on direct authority.

• AWS Professional Certification, such as Solutions Architect, DevOps Engineer, or SysOps Administrator, is strongly preferred.

• Demonstrated fluency with AI development tools such as Claude Code, GitHub Copilot, Cursor, or similar solutions.

• A clear perspective on responsibly scaling AI-enabled engineering practices, including integrating AI-assisted workflows into internal platforms and helping teams improve development velocity through effective AI adoption.

• Strong communication, collaboration, and strategic problem-solving skills, with the ability to navigate ambiguity and translate technical investments into organization-wide results.

Benefits

• Competitive compensation and benefits.

• Flexible vacation allowance.

• Flexible working arrangements, including remote and hybrid options.

• A startup-style culture supported by the stability and reach of an established global brand.

• An inclusive and diverse working environment that values authenticity, individual contributions, and equal opportunity.