Automation & IaC: Strong hands-on proficiency with Infrastructure as Code (Terraform or CloudFormation) and scripting (Python or PowerShell) to automate identity provisioning, drift detection, and access workflows.
- Non-Human Identity (NHI) Fundamentals: Practical experience managing service accounts, API keys, bots, and automated workload identities across cloud infrastructure.
- Preferred KSA’s
- Experience architecting, developing, and deploying large-scale distributed systems at scale
Experience with cloud technologies, e.g., AWS, Azure, GCP
Experience building continuous integration and continuous development (CI/CD) pipelines
Familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go)
4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
Experience with health-tech systems, like Electronic Health Records, Clinical data, etc.
Domain Specific Experience
AI Identity & Access Management
NHI Architecture: Design secure, scalable, and automated solutions for managing service accounts, machine identities, secrets, certificates, APIs, and cloud-native workloads.
AI/ML Security & Threat Modeling: Hands-on experience with AI/ML tools (e.g., Gemini, Claude, AWS Bedrock), conducting threat modeling for AI systems, or managing automated permission guardrails for AI agents.
Advanced Protocols & Microservice Security: Familiarity with SPIFFE/SPIRE, zero-trust network architectures, or complex containerized identity frameworks.
SIEM & Security Observability Tools: Experience orchestrating VPC flow logs and audit feeds into security analytics tools (e.g., Crowdstrike, Sumo Logic, Wiz, Zscaler).
Industry & Regulatory Context: Experience with health-tech systems, clinical data environments (EHRs), and regulatory standards (HIPAA, SOC 2, ISO 27001).
- Certifications: CISSP, OSCP, CEH, Certified AI Security Specialist (CAISS), or GIAC Machine Learning Security Engineer (GMSE).
- Physical Requirements
- Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.