Sr IAM Cloud Engineer

HealthEquity•Remote,

4d•$115,000 - $149,500•Remote

About The Position

Join our team as an IAM Cloud Security Engineer. This role combines expertise in Identity and Access Management (IAM), cloud security, and Generative AI (GenAI) to design, secure, and operate AI-driven systems in our cloud environments. This is a game-changing role driving innovation with AI to identify non-standard cloud access, standardize through remediation, and automate IAM cloud functions. Innovate with AI by leading the development of advanced tools that summarize complex issues and recommend remediation plans, while continuously refining automated and manual administration while reducing the need for human intervention. You will build and deploy cutting-edge AI agents using platforms like Azure and Langchain, creating intelligent systems that can autonomously detect anomalous activities. This role sits at the intersection of IAM engineering and IAM cloud security. It provides a unique opportunity to collaborate and lead cross-functional efforts with internal business and technical application owners, various lines of business within the organization, and governance and compliance teams by constantly evolving and maturing identity and access processes with the use of AI. As organizations adopt AI at scale in the cloud, securing both the infrastructure and the AI workloads is critical. This role ensures that identity, access, and security controls are embedded into AI/ML systems, protecting sensitive data, preventing unauthorized access, and maintaining compliance.

Requirements

Bachelor’s degree in computer science, information technology, cybersecurity, data science, or a related field, or equivalent practical experience.
8-10 years years in IAM engineering, cloud security, or GenAI/ML engineering.
Experience supporting IAM capabilities in cloud or hybrid environments, including Microsoft Entra ID, Okta, Azure, AWS, GCP, or similar platforms.
Experience implementing, supporting, or automating identity lifecycle management, access controls, authentication policies, and entitlement governance.
Strong knowledge of IAM concepts, including SSO, MFA, RBAC, PAM, identity federation, access governance, provisioning, deprovisioning, and periodic access reviews.
Knowledge of authentication and authorization protocols such as SAML, OAuth, OIDC, LDAP, and JWT.
Experience with Microsoft Entra ID, Okta, Azure AD, or similar IAM platforms.
Familiarity with cloud security concepts and tooling, including IAM policies, KMS, SIEM, Defender for Cloud, cloud logging, policy enforcement, and compliance monitoring.
Experience with scripting or automation using PowerShell, Python, Bash, SQL, or similar tools.
Understanding of non-human identities, service accounts, secrets, keys, privileged access, and cloud entitlement risk.
Familiarity with AI-enabled automation, retrieval-augmented generation, prompt design considerations, AI model security risks, or secure use of GenAI in enterprise environments.
Ability to assess IAM risks, analyze complex access patterns, and translate findings into clear remediation actions.
Strong analytical, troubleshooting, and problem-solving skills with attention to detail.
Effective communication skills, with the ability to partner across technical teams, business stakeholders, governance, compliance, and audit.
Knowledge of regulatory and compliance frameworks such as HIPAA, SOX, GDPR, and related security standards.

Nice To Haves

Experience applying automation, scripting, or AI-enabled tools to improve IAM operations, access governance, or security workflows preferred.

Responsibilities

Design, implement, and maintain IAM frameworks (SSO, MFA, RBAC, PAM) across multi-cloud environments (AWS, Azure, GCP).
Harden cloud environments using IAM policies, KMS, WAF, GuardDuty, Defender for Cloud, and compliance tools.
Automate identity lifecycle management, provisioning, and deprovisioning.
Define and standardize IAM cloud access structures and secure cloud configurations.
Build detection pipelines, automate compliance checks, and integrate CEIM tools
Support the secure use of Generative AI capabilities within IAM environments, including use cases related to access analysis, anomaly detection, issue summarization, remediation recommendations, and operational workflow automation.
Contribute to the design, testing, and refinement of AI-enabled IAM tools, prompts, retrieval strategies, and automation workflows that improve detection of non-standard access and support governance activities.
Partner with senior engineers, architects, and security teams to ensure AI-enabled IAM solutions align with model governance, data protection, API security, access control, and compliance expectations.
Collaborate with the AI COE and AI Engineering team for best practices, technology, and AI support needs.
Support cloud non-human identity hygiene, including discovery, inventory review, ownership validation, credential and secret rotation support, stale or orphaned identity cleanup, privilege right-sizing, and key or policy review.
Strengthen authentication security by supporting modern authentication architecture, account fencing, reduction of legacy or non-standard authentication paths, and detection of risky sign-in behavior.
Configure and maintain authentication and authorization controls to ensure secure access to internal, external, cloud, and hybrid systems.
Automate IAM processes and workflows using scripting, integrations, and approved tooling to improve consistency, reduce manual work, and strengthen control execution.
Define, implement, and support Conditional Access and adaptive access policies, including Microsoft Entra ID controls, to advance Zero Trust principles.
Support the modernization and migration of IAM capabilities across cloud environments, including access policy design, entitlement governance, identity federation, and integration between on-premises and cloud systems.
Assess authentication and authorization baselines, identify non-standard or risky access patterns, and support risk-based remediation plans.
Support Cloud Infrastructure Entitlement Management and related cloud access governance activities, including visibility into permissions, excessive access, and entitlement risk.
Collaborate with internal teams, application owners, governance, audit, compliance, and business stakeholders to define access requirements, user roles, permissions, and remediation actions.
Develop and maintain documentation, procedures, dashboards, KPIs, KRIs, and reporting to support IAM operations, access governance, remediation tracking, and control effectiveness.
Stay current with IAM, cloud security, authentication, automation, AI security, and regulatory trends to continuously improve IAM practices and reduce risk.