Cyber Identity - FDE Engineering Manager

Work you'll do

• Translating client business needs and Digital Trust & Privacy requirements into AI-enabled technical solutions aligned to target architecture and delivery objectives
• Leading the hands-on design, integration, deployment, and operation of production-grade solutions, including troubleshooting and resolving technical issues within scope
• Shaping technical solutions during pursuits by leading demonstrations, proofs of concept, prototypes, effort estimation, and pricing inputs
• Managing client delivery by overseeing scope, timelines, quality, customer satisfaction, and continuous improvement across engagements
• Building team and client capability through reusable accelerators, documentation, knowledge transfer, and engineering best practices

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a related field; alternatively, equivalent demonstrated experience
• 7+ years of experience in one or more Digital Trust & Privacy domains such as Identity Governance and Administration (IGA), Web Access Management (WAM), Privileged Access Management (PAM), Public Key Infrastructure (PKI), Directories, or Data Protection
• 5+ years of experience translating client requirements into target-state solution architectures using Representational State Transfer application programming interfaces, microservices, event-driven architectures, or serverless components
• 5+ years of experience building and deploying production-grade solutions using one or more of the following - Python, Java, or Node.js
• 2+ years of experience delivering solutions on Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including containers, continuous integration and continuous delivery pipelines, and version control tools
• 6 months to a year of experience designing or deploying generative artificial intelligence or large language model solutions in a client or production environment
• Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred

• Front-end / full-stack breadth - JavaScript/TypeScript and a modern UI framework (React / Next.js) for building demo apps and lightweight delivery tooling leveraging agentic coding tools (e.g., Claude Code, Codex, Cursor etc.)
• Industry depth in a regulated vertical (financial services, healthcare, public sector) and exposure to associated compliance regimes (SOX, PCI DSS, FFIEC, HIPAA, GDPR)
• Edge / fraud and bot-mitigation experience (WAF, credential-stuffing and ATO countermeasures)
• Kubernetes, GitOps, and advanced cloud-native delivery patterns
• Search/analytics or graph platforms relevant to identity analytics (Elasticsearch/OpenSearch, Neo4j)
• Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation
• Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk, Saviynt)