Responsibilities
- Design and maintain custom internal security tools used across engineering teams
- Develop automated systems to enhance application security, secrets handling, identity management, and secure software delivery
- Build security tools that integrate seamlessly into CI/CD pipelines and internal engineering platforms
- Create scalable solutions for detecting vulnerabilities, automating remediation, enforcing policies, and collecting security telemetry
- Write secure, production-grade code for backend services, APIs, and cloud-native infrastructure
- Develop security services and APIs supporting authentication, authorization, secrets management, and access governance
- Implement tooling for OAuth/OIDC, token lifecycle, role-based access control, service authentication, and secure sessions
- Advance secure-by-default practices throughout the platform ecosystem
- Automate security controls across AWS, GCP, and Kubernetes environments
- Develop systems for infrastructure security, workload identity, encryption, and runtime protection
- Collaborate with platform teams to strengthen container and Kubernetes security and harden infrastructure
- Enhance monitoring and observability for security events, anomalies, and operational risks
- Build security capabilities supporting AI-native development workflows and AI-driven healthcare applications
- Evaluate emerging AI-assisted security tools to improve engineering productivity and platform protection
- Design secure workflows and controls for AI-enabled systems and sensitive healthcare data
- Work closely with security, infrastructure, platform, compliance, and product engineering teams to promote secure development
- Translate security principles into practical engineering solutions that improve developer experience and efficiency
- Support incident response, root cause analysis, and remediation activities as needed
AI Fluency & Ways of Working
- Use AI tools daily to improve productivity, problem-solving, and decision-making in areas like coding, research, and automation
- Apply critical judgment when using AI by validating outputs for accuracy, bias, and quality
- Continuously adapt to new AI tools and integrate them into workflows
- Identify opportunities to enhance individual and team workflows using AI
- Maintain strong data responsibility and security awareness, especially with sensitive or regulated data
What we look for
- Proven experience applying AI tools in practical and responsible ways
- Curiosity and openness to experimenting with emerging technologies
- Ability to balance efficiency with high-quality outcomes and sound judgment
Security-Related Responsibilities
- Ensure access management aligns with employee roles and responsibilities
- Execute departmental policies and procedures with accountability
- Report security incidents, breaches, or policy violations to HR, Legal, Compliance, and Security teams
- Comply with organizational Information Security Policies
