Staff Security Engineer - IAM

Primary Duties

Lead the development, implementation, and ongoing maintenance of comprehensive security strategies and solutions.

Design and deploy advanced identity security controls to safeguards networks, systems, and applications.

Work across disciplines to shape our security services strategy and execution

Set and uphold the standard for security processes to support high-quality engineering

Mentor and galvanize new engineers to do their best work

Minimum Qualifications

BS/BTech (or higher) in Computer Science, Information Technology, Cybersecurity or a related field

8+ years of experience in software or security engineering within Cloud Native environments

Domain Specific Minimum Requirements

Cloud IAM Architecture: Deep knowledge of cloud security architectures (AWS IAM, Azure Entra ID, or GCP IAM), including designing/enforcing least-privilege roles, RBAC/ABAC, and permission policies.

Identity Protocols & Governance: Proficiency in identity standards and federation protocols (SAML, OIDC, OAuth, LDAP/Directory Services), user lifecycle automation, SSO, MFA, and Just-In-Time (JIT) access.

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.

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.