• Architect and implement access governance in Microsoft Entra ID using PIM, Conditional Access, Entitlement Management, and Azure RBAC with proper group lifecycle practices. • Design secure integration patterns for applications that still rely on classic AD groups, including hybrid group strategies, group writeback, and migration planning. • Own the full identity lifecycle, including provisioning, de-provisioning, access reviews, and governance workflows. • Lead modernization work to replace legacy AD group usage with Entra ID native controls and enforce least privilege across Azure and on-prem environments. • Define, implement, and automate group management policies such as naming standards, ownership rules, expiration, and dynamic membership. • Integrate Entra ID with SaaS platforms using SCIM or custom provisioning patterns. • Act as a Level 3 escalation point for complex identity incidents and operational challenges. • Mentor junior engineers and promote secure identity practices across teams. • Produce documentation including architecture decisions, runbooks, and governance standards.

• Define software architecture and development standards for automation tools supporting Grid Automation engineering and delivery teams. • Lead development of automation platforms and scripting solutions (Python, Rust, C#, Node.js, etc.) to reduce cycle time and eliminate repetitive tasks. • Integrate engineering tools with corporate systems (Smartsheet, Jira, SAP, GitHub, DOORS, relay configuration tools). • Design and deploy scalable APIs and microservices for critical workflows such as: relay settings validation, file parsing and data extraction, automated reporting and documentation. • Establish CI/CD pipelines, secure coding practices, automated testing, and reliable DevOps processes. • Architect data models and storage solutions for engineering artifacts, test evidence, and project traceability. • Promote modular design, component reuse, and creation of shared internal libraries. • Lead code reviews, mentor developers, and build technical capabilities within engineering teams. • Collaborate with AI/LLM teams to integrate intelligent automation into engineering digital assistants and copilots. • Ensure high performance, maintainability, scalability, and utility-grade cybersecurity compliance across all developed software.

• Providing strategic and tactical direction for Verification and Validation of HVDC Control and Protection System • Establishing process to assess, review, and record testing needs and boundaries for projects • Leading generation of plans, procedures, and specifications for System Tests, Acceptance Tests, and Commissioning Tests • Developing Test Management Plans & Solutions • Coordinating HVDC testing from Lab Testing to Customer acceptance • Maintaining a clear overview of the HVDC Project life cycles • Validating processes and test specifications • Defining and executing Continuous Improvement for V&V department • Enforcing engineering discipline and adherence to company policies • Reviewing validation and verification department’s skills and guiding training needed • Leading and mentoring V&V team for customer communications and clarity of expectations

• Define software architecture and development standards for automation tools supporting Grid Automation engineering and delivery teams. • Lead development of automation platforms and scripting solutions (Python, Rust, C#, Node.js, etc.) to reduce cycle time and eliminate repetitive tasks. • Integrate engineering tools with corporate systems (Smartsheet, Jira, SAP, GitHub, DOORS, relay configuration tools). • Design and deploy scalable APIs and microservices for critical workflows such as: relay settings validation file parsing and data extraction automated reporting and documentation. • Establish CI/CD pipelines, secure coding practices, automated testing, and reliable DevOps processes. • Architect data models and storage solutions for engineering artifacts, test evidence, and project traceability. • Promote modular design, component reuse, and creation of shared internal libraries. • Lead code reviews, mentor developers, and build technical capabilities within engineering teams. • Collaborate with AI/LLM teams to integrate intelligent automation into engineering digital assistants and copilots. • Ensure high performance, maintainability, scalability, and utility-grade cybersecurity compliance across all developed software.