Quick overview
Job description
Primary Duties
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Lead the development, implementation, and ongoing maintenance of comprehensive security strategies and solutions.
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Design and deploy advanced identity security controls to safeguards networks, systems, and applications.
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Work across disciplines to shape our security services strategy and execution
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Set and uphold the standard for security processes to support high-quality engineering
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Mentor and galvanize new engineers to do their best work
Minimum Qualifications
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BS/BTech (or higher) in Computer Science, Information Technology, Cybersecurity or a related field
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8+ years of experience in software or security engineering within Cloud Native environments
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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.
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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.
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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.
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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
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Experience architecting, developing, and deploying large-scale distributed systems at scale
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Experience with cloud technologies, e.g., AWS, Azure, GCP
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Experience building continuous integration and continuous development (CI/CD) pipelines
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Familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go)
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4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
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Experience with health-tech systems, like Electronic Health Records, Clinical data, etc.
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AI Identity & Access Management
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NHI Architecture: Design secure, scalable, and automated solutions for managing service accounts, machine identities, secrets, certificates, APIs, and cloud-native workloads.
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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.
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Advanced Protocols & Microservice Security: Familiarity with SPIFFE/SPIRE, zero-trust network architectures, or complex containerized identity frameworks.
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SIEM & Security Observability Tools: Experience orchestrating VPC flow logs and audit feeds into security analytics tools (e.g., Crowdstrike, Sumo Logic, Wiz, Zscaler).
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Industry & Regulatory Context: Experience with health-tech systems, clinical data environments (EHRs), and regulatory standards (HIPAA, SOC 2, ISO 27001).
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Certifications: CISSP, OSCP, CEH, Certified AI Security Specialist (CAISS), or GIAC Machine Learning Security Engineer (GMSE).
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Domain Specific Experience
Physical Requirements
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