Staff DevOps Engineer

Cadence is the clinical AI company automating the treatment of chronic disease. Its Clinical Intelligence takes on the routine, high-volume work of chronic care – monitoring patients, surfacing risks, and coordinating action – so clinicians can focus on the decisions that require them. Grounded in partnerships with more than 20 leading health systems, deep EMR integrations, dedicated medical group, and experience serving a population of more than 100,000 patients, the system learns from real-world care delivery, improving as it scales. Cadence has been recognized by TIME as one of the Top 100 HealthTech Companies and by LinkedIn as a Top Startup (#4, 2025).

The Role

We're hiring a Staff DevOps Engineer to design, operate, and scale the cloud infrastructure that powers care delivery for over 100,000 patients. You will own platform maturity across reliability, security, and observability - giving clinical and engineering teams the foundation they need to ship safely and move fast. This role sits at the intersection of infrastructure engineering and care delivery, where the systems you build directly affect how quickly Cadence can act on patient risk.

What You'll Do

• Own the design and continuous improvement of Cadence's cloud infrastructure, driving reliability, scalability, and secure software delivery across all environments.
• Maintain and mature core Kubernetes services, including resilient networking, autoscaling, monitoring, and well-architected patterns for production workloads that support real-time patient monitoring.
• Lead Terraform-based infrastructure-as-code practices, including authoring, reviewing, and enforcing standards for AI-generated IaC to ensure correctness and security before deployment.
• Define and enforce DevSecOps controls across clusters, including least-privilege IAM, container image scanning, and runtime policy - ensuring infrastructure meets the compliance requirements of a regulated healthcare environment.
• Sharpen observability practices using tools like Datadog, improving alerting, incident response, and the feedback loops that keep clinical systems available and performant.
• Manage infrastructure spend with discipline, identifying and resolving cost inefficiencies without compromising system resilience.
• Mentor engineers across the team on infrastructure best practices, raising the technical bar in pull requests, runbooks, and production operations.

What You Need

• 8+ years of hands-on DevOps or platform engineering experience, with demonstrated ownership of production cloud infrastructure at scale.
• Deep experience with AWS and Kubernetes, including designing, operating, and debugging production clusters under real load.
• Proficiency with Terraform, Helm, and CI/CD pipelines using GitHub Actions or comparable tooling.
• Strong command of observability tooling, including Datadog or equivalent platforms, with experience building alerting systems and leading incident response.
• Experience in healthcare or another highly regulated industry, with working knowledge of relevant compliance and security requirements.
• Track record of mentoring engineers and raising infrastructure standards across a team.
• Fluency with LLM APIs, prompt engineering, and AI-assisted development tools; demonstrated experience building or evaluating AI-powered systems in production.

Compensation

Our job titles may span more than one career level. The base salary for this role typically ranges between $200,000 - $260,000, depending on experience, skills, seniority, and business needs. In addition to base salary, this role may be eligible for equity as part of the total compensation package. Actual compensation may vary by location.

Benefits & Perks

• Competitive pay & equity
• Fully remote
• Comprehensive health coverage: Medical, dental & vision
• Paid time off
• 401k plan + matching
• Paid parental leave
• Home office stipend

Cadence is committed to equal opportunity and fairness regardless of race, color, religion, sex, gender identity, sexual orientation, nation of origin, ancestry, age, physical or mental disability, country of citizenship, medical condition, marital or domestic partner status, family status, family care status, military or veteran status or any other basis protected by local, state or federal laws.