This is a hands-on engineering role, not a review or audit function.
RESPONSIBILITIES
Partner with engineering teams to design secure architectures and solutions
Integrate security controls into CI/CD pipelines, platform tooling, and application onboarding processes
Provide technical guidance and reusable patterns for secure development
Own and improve the application onboarding and identity integration process
Translate security requirements into practical, scalable, and automated controls
Collaborate closely with developers while maintaining clear ownership within the Security team
QUALIFICATIONS AND DESIRED SKILLS
5–8+ years of hands-on experience in security engineering with a direct focus on IAM and DevSecOps practices (no purely advisory or oversight roles)
Proven, hands-on administration and engineering experience with Okta, including:
Okta Identity Cloud (OIC)
Okta Identity Governance (OIG)
Okta Workflows
Application onboarding, lifecycle management, and policy enforcement
Strong, hands-on cloud administration experience in Microsoft Azure (required), including identity, access control, and resource governance
Working knowledge of AWS and Google Cloud Platform in multi-cloud environments
Hands-on experience with Kubernetes (K8s), including workload identity, access controls, and platform security considerations
Working knowledge of Splunk Cloud, including building alerts, dashboards, and detection logic for security-relevant events
Strong understanding of modern authentication and authorization standards, including OAuth2, OIDC, and SAML
Proficiency in Python scripting for automation, integration, and operational tooling
Demonstrated experience integrating security into CI/CD pipelines and infrastructure-as-code workflows
Experience designing and implementing RBAC/ABAC models across cloud and SaaS platforms
Demonstrated experience performing threat modeling (e.g., STRIDE, attack trees) and translating findings into actionable engineering controls
Preferred Qualifications
Okta certifications (e.g., Okta Certified Administrator, Okta Certified Professional, or equivalent advanced certification)
Experience supporting AI/ML platforms or AI-enabled application ecosystems
Experience with secrets management and zero trust architecture patterns
Experience with tools like LangSmith and other AI related tools
Salary range: $121,000-$163,000, plus may be eligible for an annual discretionary bonus. The salary range for this role takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, skills, experience, training, licensure and certifications, practice area, and other business and organizational needs. In addition, Chartis offers several benefits including medical, dental, vision, HSA, FSA, disability insurance, life insurance, 401(k) match, paid time off, wellness stipend, and additional voluntary benefits.
At Chartis, we pride ourselves on having a diverse workforce. We value and celebrate the uniqueness of individuals and the different perspectives they provide. We offer equal opportunity employment regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, or protected veteran status.