Staff DevOps Engineer

Cadence Solutions

30d•$200,000 - $260,000•Remote

About The Position

Cadence is a clinical AI company that delivers continuous, proactive care for older adults with chronic conditions like hypertension, heart failure, and diabetes. We pair patients with a dedicated clinical team, integrate deeply into health system EMRs and workflows, and use our Clinical Intelligence platform to monitor vitals, surface risk early, optimize medications, and close care gaps between visits. The result: patients engage with care 100x more than before Cadence, clinicians focus on judgment instead of administrative work, and Medicare saves $2M a week. We operate as a full clinical care delivery organization, not a software vendor. Our clinicians work alongside health system partners, extending the reach of local primary care providers into patients' homes. We're now applying AI agents across these workflows – from alert review and medication titration to lifestyle coaching and care coordination – with clinicians always in control of clinical decisions. 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.

Requirements

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.

Responsibilities

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.