
Senior Platform Engineer, Medical Devices
Posted 22 hours ago

Posted 22 hours ago
This is a fully remote position, open to applicants in United States.
• Design and implement infrastructure, tools, and pipelines that support the Medical Device product, ranging from embedded Linux field fleets to cloud environments.
• Take ownership of build processes, signing, rollout, rollback, per-device configurations, update mechanisms, recovery procedures, and operational tools for the Linux kiosk fleet.
• Manage CI/CD, test-gated promotions, controlled approvals, and maintain release traceability across both cloud and device software.
• Establish a deployment control plane that allows for reversible and auditable releases.
• Oversee observability, alerting, reliability, backup and recovery, auditability, and security measures.
• Operate the AWS and Terraform infrastructure that supports product and engineering teams.
• Create golden paths and self-service deployment tools for engineers.
• Provide guidance to engineers on complex build and deployment challenges.
• Design, build, test, and sustain high-quality tooling and services for production.
• Automate compliance with regulatory requirements, including traceability, SBOM, artifact signing, audit trails, pipeline security, and device security.
• Translate the needs of Product, Clinical, Regulatory, and InfoSec teams into platform deliverables.
• Assist with clinical studies and regulatory submissions, such as 510(k) and De Novo applications.
• Address the requirements of data-science platforms, including reproducible environments, scalable compute, and dependable model serving.
• A minimum of 8 years in platform, DevOps, or infrastructure engineering within AWS.
• Staff-level accountability for production CI/CD and release systems for intricate distributed systems that manage sensitive data.
• Strong foundational software engineering skills in Python or Go.
• Proven experience operating Linux-based systems and fleets of networked/IoT devices.
• Familiarity with OTA update strategies.
• Proven ownership of CI/CD and release/promotion systems, including test gating, approvals, and reversible deployments.
• Extensive knowledge of Terraform/Terragrunt.
• Experience with Docker and ECS/Fargate and/or Kubernetes.
• Competency in building observability frameworks using Datadog/CloudWatch.
• Experience managing production systems for monitoring and alerting purposes.
• Prior experience in regulated, safety-critical, high-assurance environments, medical devices, or handling sensitive data is strongly preferred.
• Familiarity with Mender or similar embedded-Linux update systems, signed images, and A/B update strategies is preferred.
• Experience delivering Software as a Medical Device throughout its full lifecycle and familiarity with FDA 510(k)/De Novo pathways is desirable.
• Knowledge of designing HIPAA/GDPR-compliant systems, including audit logging, secure data transmission, PKI, device authentication, and threat modeling.
• Background in data engineering or infrastructure support for data-science and ML teams, including data versioning and production model serving.
• Familiarity with secure overlay networks like Tailscale/WireGuard and multi-account/multi-region network designs.
• Experience with GCP or Azure in addition to AWS.
• Familiarity with diagnostic or imaging devices with hardware-in-the-loop or physiological monitoring platforms such as ECG.
• Legally authorized to work in the country where the position is located.
• Candidates must not participate in foreign talent programs sponsored by China, Russia, Iran, or North Korea.
• Competitive base salary.
• Performance-based incentives or bonuses (where applicable).
• Equity participation.
• Comprehensive medical, dental, and vision coverage for employees and their dependents, with generous employer premium contributions.
• Retirement savings plan with company matching.
• Paid parental leave.
• Inclusive benefits for family building.
• Fully remote work opportunities.
• Flexible paid time off policies.
• Company-wide seasonal breaks.
• Support for flexible work arrangements.
• Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
Grafana Labs
Grafana Labs
Grafana Labs
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