Senior DevOps Engineer

Job summary

Own release automation, CI/CD, build and deployment infrastructure, and developer environments for a digital pathology platform and clinical trial software. Set technical direction for cloud and on-premises deployments, improve delivery performance with DORA metrics, and automate compliant releases and documentation for regulated medical-device software.

Qualifications

• At least 5 years of experience in DevOps, platform, build and release, or site reliability engineering.
• Deep experience designing and maintaining CI/CD systems.
• Strong experience with Docker, Kubernetes, and infrastructure as code such as Terraform.
• Hands-on experience with a major cloud provider, preferably AWS, and customer-hosted on-premises deployments.
• Proficiency in a scripting or programming language such as Python or Go.
• Experience implementing blue-green or canary deployments.
• Familiarity with monitoring and observability tools.
• Ability to learn unfamiliar codebases and diagnose operational issues.
• Ability to define a roadmap, prioritize a backlog, and communicate progress to engineering leadership.
• Preferred experience in regulated environments such as FDA, IVDR, ISO 13485, or IEC 62304.
• Preferred experience consolidating repositories into a monorepo or standardizing build tooling across services.
• Healthcare, life sciences, or medical imaging experience is preferred.

Responsibilities

• Own end-to-end release processes for cloud and on-premises deployments.
• Automate versioning, localization, and zero-downtime deployment cutovers.
• Design compliant release and rollback processes with quality and regulatory teams.
• Build and maintain reliable CI/CD pipelines and improve delivery performance using DORA metrics.
• Standardize release and infrastructure models across product lines and repositories.
• Standardize deployment tooling, monitoring, and observability across environments.
• Support packaging and upgrade paths for customer-hosted installations.
• Build product performance metrics for ongoing regulatory monitoring.
• Automate release documentation required by the quality system.
• Resolve recurring operational issues and improve support-to-engineering feedback loops.
• Set long-term direction for how services are built, deployed, and operated.

Skills

Industry

Relocation