The Identity and Access Management (IAM) Engineer is tasked to design, implement, and maintain enterprise IAM systems and processes. This role supports authentication, authorization, provisioning, and governance processes while ensuring compliance with organizational security policies and regulatory requirements.

In Short

Design, deploy, and maintain IAM solutions (e.g., Okta, etc.)
Implement Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federation services
Integrate applications with identity providers using SAML, OAuth, OpenID Connect
Manage user lifecycle processes (joiner, mover, leaver)
Automate provisioning and deprovisioning workflows
Maintain role-based access control (RBAC) models
Conduct regular access reviews and certifications
Enforce least-privilege access principles
Support compliance initiatives (SOX, etc.)
Monitor and respond to identity-related security incidents

Requirements

Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
3–7+ years of experience in IAM or related security roles
Demonstrated experience designing and administering enterprise IAM solutions, focused on Okta
Experience supporting cross-functional teams spanning IT, Security, HR, and business units
Familiarity with cloud platforms, including GCP, AWS, or Azure
Strong analytical and troubleshooting skills
Understanding of cybersecurity principles
Strong documentation and communication skills

Benefits

Remote environment
May require occasional after-hours support
Participation in change management schedules

Serve Robotics

Serve Robotics is an innovative company focused on transforming urban logistics through the use of advanced robotics. Their flagship product, a personable sidewalk robot, aims to alleviate congestion in city streets by facilitating efficient deliveries, thereby enhancing accessibility for local businesses and customers alike. With a team of experienced professionals from the tech industry, Serve Robotics leverages cutting-edge technologies such as machine learning and computer vision to solve real-world challenges while prioritizing user experience. The company fosters a collaborative and respectful work environment, driving the evolution of robotic deliveries from a novel concept to a commonplace solution in urban settings.

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