Staff Platform Engineer
About the role
Details
What you'll be doing:
• 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
What you'll bring:
• 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
Nice to have in your background:
• 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
Additional information
Not included in the source posting: about the role, qualifications, benefits.
Skills
Who can apply
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