Staff Platform Engineer

Own an ambiguous lane of platform work end to end: scope it, prototype and experiment, then turn what works into production-ready code

Build the foundations that let AI agents safely take part in engineering and operations: where they run, how they’re permissioned, and how their actions are observed and audited

Keep security, stability, and scale as the baseline as traffic grows and agents gain autonomy, partnering with InfoSec to harden the platform and reduce single points of failure

Simplify the platform over time: consolidate tools, vendors, and patterns so humans and agents can do the right thing because it’s the easy thing

Automate recurring upkeep wherever practical, so necessary maintenance takes less human effort

Help make platform and AI costs understandable to the people making commercial, operational, and technical decisions

Co-create the platform’s direction with the team and our platform architect: bring informed opinions, calibrate with others, and align your work to where we’re headed

Contribute hands-on across the platform, including infrastructure, CI/CD, container orchestration, and observability. This is an IC role.

Participate in on-call and own the systems you build, including production incidents

Share knowledge with a highly senior team of peers through pairing, design reviews, and documentation

8+ years in cloud-native infrastructure or platform engineering roles, with demonstrable progression in technical scope and impact

Deep, hands-on AWS experience running production systems, including networking, IAM, and managed services

Production Kubernetes expertise, including cluster lifecycle, upgrades, node management, and autoscaling. You’ve operated it, not just deployed it.

Strong infrastructure-as-code practice (Terraform/HCL, Helm) and experience with GitOps-style delivery

A track record of automating operational work, with the testing and rollback safety that makes speed possible

A security-minded approach to access, secrets, and configuration, ideally in a regulated environment

High output on ambiguous problems: you’ve taken loosely defined work from prototype to production, and you know when an experiment is ready to harden

Sound judgment and strong written communication: you write clear proposals with tradeoffs, calibrate with peers, and commit once a direction is set

Experience in a fully remote, growth-stage, or regulated-industry company (HIPAA, HITRUST, SOC 2)

Building or operating AI agents in production, or applying AI to infrastructure and operations work

Observability depth: OpenTelemetry, distributed tracing, or managed observability platforms

Networking depth: site-to-site VPNs, IPsec, or high-throughput messaging systems

Developer enablement work: you’ve thought about the internal developer experience, not just the ops side

Cost visibility or FinOps experience in cloud environments