Staff DevOps Engineer

Cadence is the clinical AI company automating the treatment of chronic disease. They are seeking a Staff DevOps Engineer to design, operate, and scale the cloud infrastructure that powers care delivery for over 100,000 patients, ensuring reliability, security, and observability.

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

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