This is a hands-on engineering position where leadership happens through the work. You will move fluidly between building production infrastructure, implementing multi-tenant isolation, hardening pipeline and policy enforcement, and instrumenting production. Your success is measured by what other engineers can consume without hand-holding: modules, pipelines, and patterns that hold up for the second and third consumer.
What You'll Do
Platform Infrastructure Engineering
- Build the platform's runtime: implement one container-orchestrated runtime, tenancy-grade isolation between client engagements, and the module contracts every product inherits.
- Design composable infrastructure as code at fleet scale, with clear input contracts and state boundaries, published as versioned templates and images for every core component.
- Make the environment lifecycle a one-command operation: created by merging a pull request, destroyed by deleting it, with automated proof nothing is left behind.
- Design identity and network as a federated, credential-free system — one identity per engagement, just-in-time audited privileged access, separate internal and external edges.
- Ship telemetry and cost visibility out of the box for every service: standard alerting, service-level objectives on live data, fault injection, and per-engagement cost attribution including AI spend.
Delivery Pipelines, Security & Compliance Engineering
- Build and operate the shared delivery pipelines every product runs through, and the pluggable gate framework that quality, security, and AI-governance checks plug into with block-on-fail enforcement.
- Implement security and compliance as code: release-blocking scanning on every repository, policy and admission control, signed and attested artifacts, and an audit trail and software bill of materials, including AI components, on every build as SOC2 / ISO 27001 evidence.
- Package the AI-assisted development environment as a versioned, first-class deliverable, and enforce the sandbox boundary for coding agents: default-deny egress, short-lived credentials, isolated shared runners.
- Run the platform as a product measured by developer outcomes — setup time, time to first commit, pipeline duration, gate false-positive rate, adoption — pruning or redesigning controls when governance burden outgrows benefit, and proving every golden path by shipping through it yourself.
Technical Leadership & Engineering Excellence
- Make the platform's architecture decisions decidable — multi-tenancy, cloud posture, identity provider, network edge — by building the spikes and proofs of concept behind them, and produce the security and reliability evidence the program reports against.
- Be the engineer other engineers come to on infrastructure, pipelines, and enforcement:review designs and pull requests, write architecture decision records for anything that closes off future options, and raise the bar for vendor partners through the work rather than formal management.
- Drive adoption of platform standards across product teams, supporting migrations onto the platform where product teams execute and you unblock.
What You'll Need
Required
- 10+ years in software engineering, platform or infrastructure engineering, or a closely related technical field.
- Hands-on expertise in infrastructure as code at fleet scale (Terraform or OpenTofu with Terragrunt or equivalent): module architecture, remote state, multi-environment topology.
- Demonstrated experience operating multi-tenant Kubernetes platforms in production: GitOps, network and admission policy, workload identity, tenant isolation.
- Experience building CI/CD as a shared platform (GitHub Actions or equivalent), with reusable workflow contracts, fleet-scale branch protection, and enforced quality and security gates.
- Strong hands-on command of cloud identity and network security on Azure/AWS/GCP or a comparable hyperscaler: workload identity federation, RBAC, private networking, WAF, DNS.
- Substantive experience with security and compliance as code: scanning toolchains (Snyk, Checkov, Trivy), policy engines (OPA, Kyverno, Azure Policy), supply chain controls (signing, provenance, SBOM), and SOC2 / ISO 27001 control evidence.
- Production observability with OpenTelemetry or equivalent: collector topology, SLOs and error budgets, alert routing, incident management, fault injection.
- Has built and operated production application software as a software engineer, in at least one of Go, Python, or TypeScript, and is fluent in testing strategy, code review, trunk-based delivery, and release management.
- Excellent written and verbal communication skills in English; ability to translate complex technical topics to diverse audiences, including engineering and non-technical stakeholders.
- Experience with Agile methodologies and cross-functional product team collaboration.
Preferred / Additional Qualifications
- Experience building platforms for consulting, advisory, or professional services, including client-isolation and data-residency requirements.
- Familiarity with virtual-cluster and control-plane tooling (vcluster, Crossplane) and developer portals (Backstage, Port).
- Experience operating a platform used by AI coding assistants (Claude Code, GitHub Copilot or similar), including sandboxing of agent tooling.
- Advanced certifications in cloud architecture, Kubernetes, or security (e.g., Azure Solutions Architect, CKA/CKS, CISSP).
- FinOps experience: cost allocation, showback, and cloud cost optimization.
- Demonstrated enthusiasm for developer education — writing internal guides, running workshops, or building internal tooling communities.
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