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 architectur