Senior Platform Engineer, Medical Devices

Accountabilities Own platform and device infrastructure: Design and operate the systems supporting an embedded Linux kiosk fleet, including device configuration, build and signing processes, over-the-air updates, rollouts, rollbacks, recovery mechanisms, and operational tooling.

Lead CI/CD and release engineering: Build and maintain deployment control systems with test gates, controlled approvals, release promotion, traceability, and reversible deployments across cloud and device software.

Drive reliability and observability: Establish strong standards for monitoring, alerting, backup and recovery, auditability, security, and production reliability, while building automation that makes safe operational practices the default.

Operate cloud infrastructure: Support reliable, secure, and reproducible AWS environments using infrastructure-as-code, with an emphasis on production availability and engineering enablement.

Enable developer self-service: Create golden paths, internal tooling, and self-service capabilities that allow engineers to deploy independently while providing technical guidance for complex build and deployment challenges.

Build production-grade software: Design, develop, test, and maintain platform services and tooling using the same engineering standards expected of customer-facing product code.

Automate regulatory compliance: Translate regulatory and safety requirements into tested engineering workflows covering traceability, software bill of materials (SBOM), artifact signing, audit trails, and pipeline and device security.

Partner across technical and business functions: Serve as the platform infrastructure technical lead for Product, Clinical, Regulatory, InfoSec, and Engineering, supporting clinical studies and regulatory submissions where needed.

Support data and ML platforms: Enable data-science teams with reproducible environments, scalable compute, reliable model-serving infrastructure, and related platform capabilities.

Improve platform strategy continuously: Identify opportunities to make infrastructure more scalable, secure, reliable, and developer-friendly while maintaining a strong focus on patient safety.

Requirements

Senior platform engineering experience: 8+ years in platform, DevOps, infrastructure, or related engineering roles, including significant ownership of production CI/CD and release systems for complex distributed environments.

Strong software engineering skills: Proficiency in a modern programming language such as Python or Go, with the ability to build and maintain production-quality tooling and services.

AWS expertise: Deep experience operating production infrastructure on AWS, including reliable and secure cloud environments supporting sensitive data and distributed systems.

Linux and device operations: Hands-on experience operating Linux-based systems and networked or IoT device fleets, ideally including over-the-air update strategies.

CI/CD and release management: Demonstrated experience owning deployment pipelines, test gating, approvals, release promotion, traceability, and reversible deployment mechanisms.

Infrastructure as code and containers: Strong expertise with Terraform or Terragrunt and experience with Docker, ECS/Fargate, Kubernetes, or comparable technologies.

Production reliability: Experience implementing observability and operational tooling using technologies such as Datadog or CloudWatch, with a strong understanding of monitoring, alerting, reliability, and incident response.

Regulated or high-assurance environments: Experience working in medical devices, safety-critical software, aerospace, automotive, financial services, defense, or another highly regulated or sensitive-data environment is strongly preferred.

Medical-device expertise: Experience with Software as a Medical Device (SaMD), medical-device software lifecycles, IEC 62304, or FDA pathways such as 510(k) or De Novo is highly desirable.

Embedded OTA experience: Familiarity with Mender or comparable embedded-Linux update platforms, including signed images and A/B update strategies, is a plus.

Security and privacy knowledge: Experience with HIPAA/GDPR-compliant systems, audit logging, secure data transmission, PKI, device authentication, and threat modeling for connected devices is valuable.

Data and ML platform experience: Background supporting data engineering, machine-learning, or MLOps teams through data versioning, scalable infrastructure, reproducible environments, and production model serving is advantageous.

Networking and multi-cloud knowledge: Experience with secure overlay networks such as Tailscale or WireGuard, multi-account or multi-region architectures, and GCP or Azure alongside AWS is beneficial.

Domain knowledge: Familiarity with diagnostic or imaging devices, hardware-in-the-loop systems, physiological monitoring platforms, or similar connected medical technologies is a plus.

Collaborative and ownership-oriented mindset: Ability to work independently, communicate effectively across multidisciplinary teams, and balance engineering excellence with regulatory, clinical, and operational requirements.

Benefits

Competitive compensation: US base salary ranging from $121,600 to $228,000 , depending on geographic pay tier, skills, experience, education, and location.

Performance incentives: Eligibility for performance-based incentives or bonuses, where applicable.

Equity: Equity participation.

Healthcare: Comprehensive medical, dental, and vision coverage for employees and dependents, with generous employer premium contributions.

Retirement: Retirement savings plan with company matching.

Family benefits: Paid parental leave and inclusive family-building benefits.

Remote flexibility: Fully remote work with flexible arrangements designed to support sustainable performance.

Time off: Flexible paid time off and company-wide seasonal breaks.

Professional growth: On-the-job development, cross-functional collaboration, and access to internal learning and development opportunities.

Meaningful work: The opportunity to contribute to technology with potential impact across healthcare, life sciences, and other high-impact applications.

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