Job Summary
ob Summary : Role Purpose The Senior IAM Developer is responsible for engineering, enhancing, and integrating global Workforce IAM and Customer Identity and Access Management (CIAM) capabilities to enable secure, resilient, and scalable access to applications and digital services. This role delivers secure by design IAM, CIAM, and Conditional Access solutions across cloud and on prem environments, with a strong emphasis on Zero Trust enforcement, customer identity journeys, automation, identity lifecycle management, and access governance. The role works closely with IAM product owners, architects, cybersecurity, application teams, and strategic vendors and is engineering led, with no primary responsibility for day to day operational support. This role operates in an AI‑first engineering environment, where delivery, troubleshooting, analysis, and continuous improvement are enhanced through AI-assisted capabilities to improve productivity, quality, and reliability outcomes, while adhering to security, privacy, and governance expectations.
Key Responsibilities
Skill Requirement : Skills & Experience Technical Expertise • Extensive experience (10+ years) in IAM and/or CIAM engineering within a large enterprise environment. • Strong hands-on experience with Okta Workforce IAM and Okta Auth0 (CIAM) and/or Microsoft Entra ID Conditional Access. • Deep understanding of Zero Trust architecture, CIAM patterns, authentication, authorization, and identity lifecycle management. • Proven experience with SAML, OAuth, OpenID Connect, and SCIM. • Experience developing integrations using APIs, scripting, or programming languages ( .NET, Python, PowerShell, JavaScript, NodeJS, Angular). • Experience supporting cloud first, SaaS, API driven, and hybrid identity architectures. • Demonstrated experience applying AI to materially improve engineering workflows (design validation, troubleshooting, impact analysis, documentation, automation) -can describe before/after outcomes • Strong problem-framing skills: can provide context, constraints, and expected outcomes to get reliable AI-assisted results • Track record of using AI-supported insights to identify optimization opportunities and reduce manual remediation effort Professional Capabilities • Strong analytical mindset with a security first, customer aware engineering approach. • Ability to clearly articulate complex IAM, CIAM, and Conditional Access designs to diverse stakeholders. • Comfortable operating in a global, regulated, and risk focused environment. • Strong collaboration, influencing, and stakeholder management skills. • High standards of ownership, accountability, and engineering excellence. • Ability to drive AI adoption expectations within engineering teams and hold delivery accountable for measurable outcomes
Skill Requirements
Other Requirement : Education • Bachelor’s degree in computer science, Information Technology, Cybersecurity, or equivalent professional experience.