Graph & Data Architecture

• Deploy and manage graph platform infrastructure (Neo4j) for identity relationship mapping and access analytics
• Implement graph database backups, recovery, disaster recovery, and observability (GDS/APOC)
• Integrate graph-based identity models with IAM provisioning and access decision workflows

Security & Governance

• Embed security into the build and deployment process (vulnerability scanning, secrets detection, code quality checks)
• Collaborate with security teams to ensure compliance with Zero Trust principles and IAM security policies
• Implement Privileged Access Management (PAM) controls and identity governance at scale
• Work with cybersecurity and compliance teams on architecture, integration requirements, and regulatory controls
• Create and maintain documentation for pipelines, IaC, deployment patterns, and operational processes

Collaboration

• Partner with IAM architects, security engineers, platform teams, and application owners on design and integration
• Support both cloud and on-premises IAM solutions
• Communicate complex architectural and operational concepts across technical and non-technical audiences
• Manage workload prioritization and engagement in Agile environments

What We're Looking For

Core Technical Skills (Must-Have)

• GCP Infrastructure & Provisioning: Hands-on experience with Terraform (core), GCP infrastructure, and policy-as-code. Ability to manage, maintain, and write infrastructure policies at scale.
• Containerization & Kubernetes: Docker, Kubernetes, Helm/Kustomize, and GKE operations. Experience deploying and managing containerized IAM services.
• CI/CD Engineering: Pipeline authoring, artifact management, testing automation, and deployment strategies. Experience with Cloud Build or equivalent.
• DevSecOps & Platform Security: Security scanning, secrets detection, vulnerability scanning, code quality checks, and compliance automation.
• Release Engineering & Governance: Release operations, change management, documentation, and release governance in regulated environments.

Essential Technical Skills

• Data Pipelines & Streaming: Kafka fundamentals, schema registry, streaming infrastructure, and monitoring. Experience with Pub/Sub or equivalent event streaming platforms.
• Graph Platform Engineering: Neo4j basics, backups, recovery, disaster recovery, GDS/APOC, and observability.
• IAM & Identity Governance: Understanding of authentication, authorization, elevated access, Privileged Access Management (PAM), and identity lifecycle management.
• Network Security & Compliance: Network security, conditional access, regional deployments, data residency, and compliance requirements across multiple jurisdictions.

Soft Skills

• Strong problem-solving and troubleshooting capabilities
• Ability to work collaboratively across security, engineering, and operations teams
• Excellent communication and documentation skills
• Self-motivated to learn and adapt to new technologies quickly
• Experience working in Agile/Scrum environments (Jira, Jira Service Desk, kanban)
• Comfortable working across multiple time zones and in culturally diverse, globally distributed teams
• Ability to handle the pace and complexity of large-scale enterprise environments
• Experience working at scale in global IT enterprises