Lead IAM Engineer

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, they empower clients to become AI-Native enterprises.

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Security, or related field
• 7+ years of software engineering experience in enterprise environments
• Proficiency in Python, C#, Java, or similar technologies
• Knowledge of SailPoint IdentityIQ
• Experience developing REST APIs and microservices
• Expertise in Azure cloud services, Kubernetes, and containerized applications
• Skills in Microsoft Entra ID authentication and authorization models
• Understanding of OAuth2, OIDC, JWT, and API security
• Competency in CI/CD pipelines and DevOps practices
• Ability to integrate enterprise platforms through APIs
• Strong engineering, problem-solving, collaboration, and communication skills
• Ability to work independently and drive technical solutions
• Passion for innovation, modern AI-enabled platforms, continuous learning, and quality-driven, customer-focused approach
• Excellent written and spoken English (B2+ level)

Nice to have:

• Knowledge of ServiceNow
• Familiarity with IAM, IGA, or security-related solutions
• Knowledge of identity governance concepts

• Design, develop, and maintain IAMConnect platform components
• Develop and operate MCP server services and API integrations
• Build integrations with SailPoint IdentityIQ and Identity Security Cloud APIs
• Implement authentication and authorization using Microsoft Entra ID, OAuth2, OpenID Connect, JWT, and OBO flows
• Develop and maintain cloud-native workloads on Azure Kubernetes Service (AKS)
• Implement authorization policies with Open Policy Agent (OPA) and Rego
• Create secure integrations with Azure Key Vault and Managed Identities
• Contribute to Teams and Copilot Studio conversational experiences
• Establish automated testing, CI/CD pipelines, and deployment processes
• Troubleshoot performance, reliability, and integration issues across IAM and AI ecosystems
• Collaborate closely with architects, IAM engineers, security teams, platform teams, and product stakeholders

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