Staff Security Engineer - IAM
The Staff Security Engineer will be responsible for designing, implementing, and maintaining security identity services that support our business. You will understand data and automation are important ingredients to our mission and know how to actively employ these ingredients at scale. Beyond the technical expertise, we value individuals who can partner cross-functionally across various teams, driving impactful outcomes and further securing our digital landscape.
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
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.
Domain Specific Minimum Requirements
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.
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).
Domain Specific Experience
Physical Requirements
Sitting
for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.