Senior Software Engineer, Security Infrastructure

Cadence is a clinical AI company focused on providing continuous care for older adults with chronic conditions. They are seeking a Senior Software Engineer, Security Infrastructure to build scalable security infrastructure and address complex security challenges related to data classification, AI governance, and secure integration with healthcare partners.

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's degree in Computer Science, Engineering or related field, or equivalent work experience
• 3+ years of software engineering experience, with at least 2+ years building and shipping real systems or infrastructure
• Strong ability to navigate and reason across the stack - quickly understanding unfamiliar codebases, architectures, and tooling ecosystems
• Ability to identify patterns and design scalable “golden paths” (e.g., logging, access controls, network security) that work across teams
• Effective communicator who translates technical findings into clear designs, builds alignment, and drives initiatives from concept to execution
• Demonstrated interest in security and ability to think adversarially - approaching system design with rigor, considering failure modes, and leveraging modern tools (including AI) to accelerate solutions
• Experience operating in small teams or startup environments, with a high degree of ownership and autonomy
• Contributions to open-source projects or a track record of building reusable tooling
• Experience leveraging modern tools, including AI-assisted analysis, to accelerate research and solution design