• Work on a team responsible for a large-scale digital content distribution platform. • Environment handling millions of requests per minute, with a focus on high availability, low latency, and resilience. • Work closely with routing and infrastructure teams to ensure an optimal consumption experience for users, even during traffic peaks. • Focus on distributed systems, performance, networking, and operating systems; Go language is a plus but not required.

Role Description 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. Qualifications - 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 - Competitive pay & equity* - Fully remote - Comprehensive health coverage: Medical, dental & vision - Paid time off - 401k plan + matching - Paid parental leave - Home office stipend *Benefit offerings may vary depending on job profile, job level and worker type.

• Define and guide system architecture, balancing trade-offs between speed, scalability, maintainability, and security to meet business goals. • Champion accountability from design through to production by ensuring systems are observable and meet agreed Service Level Objectives (SLOs). Drive continuous improvement in platform reliability, performance, and efficiency. • Lead Root Cause Analysis (RCA) when issues occur and contribute to optimizing the incident response process and framework. • Drive automation initiatives across the team to reduce operational toil and improve system efficiency. • Uphold coding standards, promote automated testing, and work with the architecture community to drive technology adoption and share best practices across teams. Ensure production readiness standards for all services. • Lead technical estimation and feasibility assessments, ensuring plans are realistic and aligned with team capacity. Contribute to structured release planning and support post-release reviews. • Mentor and coach engineers through constructive feedback, knowledge sharing, and motivation. Foster alignment and help the team galvanise around technical solutions and goals. • Work closely with Product Managers, Engineering Managers, and other engineers to align technical direction with product strategy. Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

• Build internal tooling to help other engineers and the rest of the company understand and operate our system • Design and implement security best practices for our team and infrastructure • Reduce toil through automation, including building and maintaining CI/CD infrastructure • Build infrastructure as code using declarative provisioning tools • Develop high signal-to-noise ratio monitoring and alerting policies and technology to help us meet our SLOs • Lead incident response and postmortems • Contribute to important architectural and operational decisions like microservices vs. monoliths, deployment techniques, technologies, policies, etc.