We are seeking a Principal Platform Engineer — Director to lead the architecture and engineering of an AI-native development platform that enables secure, scalable, and repeatable software delivery across multiple products and client engagements.
This is a hands‑on technical leadership role at the intersection of Platform Engineering, Cloud Infrastructure, DevSecOps, Kubernetes, Security, and AI-assisted Development. You will define the foundational platform capabilities, establish engineering standards, and drive automation, security, reliability, and developer experience at scale.
Key Responsibilities
- Lead platform architecture, cloud infrastructure, and production Kubernetes environments, including multi-tenant isolation.
- Design and implement Infrastructure as Code (Terraform/OpenTofu, Terragrunt) and reusable infrastructure templates.
- Build and govern shared CI/CD pipelines, GitOps workflows, and automated quality and security gates.
- Implement security and compliance as code, including vulnerability scanning, policy enforcement, artifact signing, SBOM, and audit evidence.
- Architect cloud identity, workload federation, RBAC, private networking, and secure access controls across AWS, Azure, or GCP.
- Establish observability, SLOs, incident management, fault injection, and cloud cost attribution.
- Develop secure, sandboxed environments for AI coding assistants and AI‑assisted software development.
- Drive technical architecture decisions, mentor engineers, and collaborate with senior stakeholders to improve platform reliability and engineering productivity.
Required Qualifications
- 15+ years of experience in software engineering, platform engineering, infrastructure engineering, or a related technical field.
- Strong hands‑on expertise in Terraform/OpenTofu, Kubernetes, GitOps, and multi-tenant platform architecture.
- Proven experience building shared CI/CD platforms using GitHub Actions or equivalent tools.
- Deep knowledge of cloud security, identity management, networking, and workload identity federation.
- Experience with DevSecOps, policy-as-code, vulnerability scanning, software supply chain security, and SOC 2 / ISO 27001 compliance.
- Production observability experience with OpenTelemetry or equivalent technologies.
- Production software development experience in Go, Python, or TypeScript.
- Strong technical leadership, architecture documentation, stakeholder management, and mentoring skills.
Preferred Qualifications
- Experience building platforms for consulting, advisory, or professional services organizations.
- Familiarity with Crossplane, vcluster, Backstage, or Port.
- Experience with AI coding assistants such as Claude Code or GitHub Copilot, including secure agent sandboxing.
- Cloud architecture, Kubernetes, or security certifications.
- FinOps, cloud cost optimization, and developer experience initiatives.
Why This Opportunity?
- Shape the architecture of a next‑generation AI‑native engineering platform.
- Drive enterprise‑scale platform automation, security, and reliability.
- Influence strategic technical decisions while remaining hands‑on.
- Build reusable engineering capabilities that improve developer productivity across multiple products.