Staff Platform Engineer

Opportunity & Impact

Redox is on a mission to accelerate healthcare’s transformation with useful data. The Redox Engine, a flexible interoperability platform, connects and powers real-time healthcare data exchange. With just one connection, data can be orchestrated across a growing network of 12,000+ systems and organizations, including 100+ electronic health record systems (EHRs). Redox processes over 1.2 billion messages per month across our health tech vendor, provider, payer, EHR, and life sciences customers.

We’re a fully remote team within the U.S. that operates with radical transparency and a strong bias toward ownership.

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