Lead Engineer – 2 - IAM Analyst

OverviewThe Identity Management Analyst is responsible for hands‑on delivery and operationalization of Identity Lifecycle & Access Management (IDM) of non‑human identities (NHI).The role will be responsible for managing NHI platforms, onboarding enterprise systems, operating discovery and governance workflows, maintaining dashboards and reporting, and driving visibility, governance, and remediation of non-human identities across the enterprise. The individual will work closely with Cloud Engineering, SAAS platforms, DevOps, Security, Infrastructure, Application Development, IAM, Governance, and Platform teams to ensure comprehensive discovery, onboarding, lifecycle management, and access governance of NHI’s including service accounts, API keys, secrets, certificates, service principals, workload identities, and application credentials etc. ResponsibilitiesNon‑Human Identity (NHI) ManagementManage the full lifecycle of non‑human identities, including, Service accounts, Application identities and APIs, bots, and system usersIntegrate NHI data with downstream applications and IAM/IGA platforms to enable: Risk analysis, Reporting and Access reviewsEstablish and maintain ownership, purpose, and usage metadata for all non‑human identities.Identify and analyse high‑risk NHI accountsEnable risk‑based reporting and dashboards for NHI, covering Privilege levels, Access scope, Last used / inactive accounts, Ownership gaps Integrations & SaaS Connectivity Implement integrations between IAM(NHI) platforms and SaaS applicationsWork with API‑based integrations, File‑based or custom connectors where requiredTroubleshoot failures, data mismatches, and reconciliation issuesSupport onboarding of new applications & platforms into IAM standardsReporting, Dashboards & Data AnalysisBuild and maintain operational and compliance dashboards for NHI metrics.Develop custom reports using SQL and IAM reporting frameworksAnalyse identity data to identify access risk, drift, and anomaliesSupport audit and compliance evidence generationDatabase & Technical OperationsPerform hands‑on SQL querying against IAM databasesCollaborate with platform teams on performance and data quality improvementsArchitecture & Platform Support:Work closely with IAM architects to:Translate architecture designs into configurationsValidate feasibility during POC’s and pilotsContribute to runbooks, and operational documentation QualificationsCore IAM ExperienceWorking with NHI, Secrets Management, PAM, or Machine Identity solutions.Experience with discovery and governance platforms such as:Veza, Astrix, Akeyless, HashiCorp Vault, CyberArk, Thales CTMExperience supporting enterprise-scale security and identity programsStrong understanding of Identity lifecycle concepts (JML), Roles, entitlements, access models, Human and non‑human identity & access governance, PAMKnowledge of Service Accounts, Service Principals, API Tokens, OAuth Clients, Secrets, SSH Keys, Certificates, Encryption Keys, Workload Identities, Kubernetes Service Accounts, Cloud Managed IdentitiesTechnical Skills:Strong SQL and database experience (queries, joins, analysis)Hands-on experience with AWS, Azure, Google Cloud Platform (GCP)Working Knowledge of IAM Roles, Managed Identities, Service Accounts, Key Management Services, Cloud-native security controlsExperience integrating with SAAS and Enterprise platforms like Entra ID, Sales force, ServiceNow, GitHub, OKTA etc.Strong experience in API & Integration Skills like REST APIs, JSON, OAuth etc.Directory services (LDAP / AD / cloud directories)Reporting & Analytics:Experience building dashboards and operational reportsComfortable working with large datasets and identity relationshipsQualifications: Core Engineering & Cloud Experience5+ years of experience in software engineering, cloud platform development, DevSecOps, or platform engineering roles.Strong hands-on programming experience with Python and experience developing enterprise-grade automation, microservices, APIs, and cloud-native applications.Experience building and maintaining CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, GitLab CI, or similar platforms.Strong understanding of GitHub, source control management, branching strategies, code reviews, and Infrastructure as Code (IaC) practices.Experience working with multi-cloud environments including AWS, Microsoft Azure, and Google Cloud Platform (GCP).Strong understanding of non-human identities and machine credentials including:Service Accounts, Service Principals, Managed Identities, API Keys, OAuth Clients, Tokens, Secrets, SSH Keys, Certificates, Encryption Keys, Workload Identities, Kubernetes Service AccountsExperience integrating cloud-native secret management solutions such as:Azure Key Vault, AWS Secrets Manager, AWS KMS, Google Secret Manager, HashiCorp VaultUnderstanding of secure software development lifecycle (SDLC), DevSecOps practices, and cloud security fundamentals.Technical SkillsAdvanced Python development skills with experience building automation frameworks, SDKs, APIs, and integration services.Strong experience with REST APIs, OAuth 2.0, OpenID Connect, JSON, and event-driven integrations.Hands-on experience with cloud-native services including IAM, networking, storage, compute, serverless, and container platforms.Experience with containerization and orchestration technologies such as Docker, Kubernetes, EKS, AKS, or GKE.Experience managing cloud identities and machine credentials across multiple accounts, subscriptions, projects, and tenants.Working knowledge of:AWS IAM Roles, Azure Identities, Azure Service Principals, GCP Service Accounts, Cloud KMS and Secret Management servicesExperience integrating enterprise platforms such as GitHub, Azure DevOps, ServiceNow, Entra ID, Okta, Salesforce, and cloud-native services.Experience leveraging AI-assisted development tools such as GitHub Copilot, OpenAI APIs, or cloud AI services is a plus.