Senior Software Engineer, Security Infrastructure

About the role

Sixty million Medicare seniors live with chronic disease. The care system sees most of them twice a year. Cadence is building the infrastructure to support them every day. 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. We move fast, raise standards, and own outcomes. We hire drivers, not passengers – people who take initiative, solve problems, and sweat the details because lives depend on it. Momentum matters in healthcare where slow decisions cost lives. At Cadence, we set a high bar and back each other relentlessly to clear it.

Responsibilities

• Embed directly within Product and Platform Engineering teams to implement security-critical features and components of Cadence’s platform, and assist teams in making secure architectural and implementation changes as needed.
• Create security capabilities that differentiate Cadence and influence the broader healthcare ecosystem, including building reusable security primitives, contributing to open standards and open-source initiatives, and partnering with customers and vendors to raise the bar for privacy, interoperability, and secure AI adoption.
• Design and implement security controls across cloud infrastructure, Kubernetes, CI/CD systems, endpoints, identity systems, secrets management, and broader platform security primitives to keep core systems secure.
• Build AI governance processes, frameworks, and safeguards that help ensure Cadence’s AI systems are safe, reliable, fair, and aligned with patient safety outcomes.

Requirements

• Bachelor's or Master