Staff Platform Engineer - Redox

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 are 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 rotation 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.
• 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: experience taking loosely defined work from prototype to production.
• Sound judgment and strong written communication: clear proposals with tradeoffs, calibrating with peers, and committing once a direction is set.

Nice to Have

• 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: internal developer experience optimization.
• Cost visibility or FinOps experience in cloud environments.

Benefits & Perks

• Base Salary Range: $185,000 – $210,000 USD per year
• Equity: Stock options package included
• Time Off: Unlimited flexible PTO, 15+ observed holidays, monthly guaranteed 3-day weekends, and 6 weeks paid sabbatical with stipend
• Healthcare: Medical, Dental, and Vision benefits active on Day 1; HSA/FSA options; life and disability insurance
• Retirement: 401(k) with 50% match up to 8% starting on Day 1
• Parental Leave: 16 weeks fully paid parental leave
• Stipends & Perks: Productivity stipend, wellness fund, and company-issued MacBook

Requirements

• Candidates must be eligible to be employed in the U.S. and must reside & work in the continental U.S.