Security Infrastructure Engineer (All Levels)

Summary

Cadence is the clinical AI company automating the treatment of chronic disease. They are seeking a Security Infrastructure Engineer to build and scale the security infrastructure that embeds compliance and risk controls into the Cadence platform, addressing complex security challenges across various domains.

Responsibilities

• Design and implement security controls across cloud infrastructure, Kubernetes, CI/CD systems, endpoints, identity systems, secrets management, and broader platform security primitives
• Build and evolve Cadence's AI governance framework - model development controls, safeguards, bias and reliability considerations, and post-deployment surveillance - to keep our AI systems safe, fair, and aligned with patient safety outcomes
• Translate complex security risk into clear, business-level recommendations for technical and non-technical stakeholders alike, surfacing patterns and emerging threats before they become incidents
• Help define Cadence's AI governance framework, including model development controls, safeguards, bias and reliability considerations, and post-deployment surveillance. Ensuring Cadence's AI systems are safe, fair, and aligned with patient safety outcomes at scale
• Set the standard for secure engineering practices across Cadence. Designing scalable security primitives, golden paths, and reusable controls that enable product and platform teams to build securely by default, and anticipating where gaps will emerge as the platform grows
• Help set and defend prioritization across security infrastructure workstreams, in partnership with engineering leadership

Skills

• 4+ years of software engineering experience with at least 2+ years focused on security infrastructure, platform security, or security engineering in a high-growth or regulated technology environment
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent work experience
• 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
• Expertise across cloud security, Kubernetes, CI/CD pipeline security, identity and access management, secrets management, and security primitives at scale
• Strong AI governance experience or knowledge, including familiarity with model risk, dataset controls, bias considerations, and responsible AI frameworks in regulated or patient-facing environments
• Ability to set prioritization across security workstreams and provide input on prioritization for other engineering teams

Qualifications

Must Haves

• 4+ years of software engineering experience with at least 2+ years focused on security infrastructure, platform security, or security engineering in a high-growth or regulated technology environment
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent work experience
• 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
• Expertise across cloud security, Kubernetes, CI/CD pipeline security, identity and access management, secrets management, and security primitives at scale
• Strong AI governance experience or knowledge, including familiarity with model risk, dataset controls, bias considerations, and responsible AI frameworks in regulated or patient-facing environments
• Ability to set prioritization across security workstreams and provide input on prioritization for other engineering teams

Benefits

• Fully remote
• Comprehensive health coverage: Medical, dental & vision
• Paid time off
• 401k plan + matching
• Paid parental leave
• Home office stipend