Proven Public Cloud Platform Experience: 8+ years in platform, DevOps, or infrastructure engineering in AWS, with Staff-level ownership of production CI/CD and release systems for a complex, distributed system manipulating and storing sensitive data—paired with strong, general software-engineering ability in a modern language (Python or Go)
Linux & Device Fleet Operations: Experience operating Linux-based systems and fleets of networked/IoT devices, including OTA update strategies
CI/CD & Release Ownership: Demonstrated ownership of CI/CD and release/promotion systems, including test gating, approvals, and reversible deployments
Infrastructure as Code: Deep expertise in Terraform/Terragrunt, plus containerization (Docker; ECS/Fargate and/or Kubernetes)
Observability & Production Reliability: Experience in building observability (Datadog/CloudWatch) and operating production systems for monitoring and alerting to provide reliability
Regulated, Safety-Critical, or High-Assurance Experience (strongly preferred): Experience delivering software in a regulated, safety-critical, or other high-assurance / sensitive-data environment—medical device (IEC 62304 Class B/C) preferred, with adjacent domains such as aerospace (DO-178C), automotive (ISO 26262) or other highly regulated / high-assurance environments (e.g., financial services, defense) also welcome
Mender / Embedded OTA: Hands-on experience with Mender or comparable embedded-Linux update systems, including signed images and A/B update strategies
Medical Device / SaMD: Experience delivering "Software as a Medical Device" through the full lifecycle, and familiarity with FDA pathways (510(k) / De Novo)
Security & Data Privacy Depth: Experience designing HIPAA/GDPR-compliant systems—audit logging, secure data transmission, PKI, device authentication, and threat modeling for connected devices
Data / ML Platform (MLOps): Experience in data engineering or infrastructure support for data-science and ML teams, including data versioning and production model serving
Networking & Multi-Cloud: Secure overlay networks (Tailscale/WireGuard) and multi-account/multi-region network design, and experience with GCP or Azure alongside AWS
Diagnostic & Imaging Devices: Familiarity with diagnostic or imaging devices that have hardware in the loop, or similar physiological monitoring platforms (e.g., ECG)
WHY JOIN US?
We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work
Career Defining Work: Your work will directly accelerate the discovery of better drugs and better materials, advance human health, and enable safer and more sustainable technologies by helping customers put AI Simulation capabilities into real world use