• Analyze and interpret business and technical requirements to design scalable, maintainable software architecture • Lead the full software development lifecycle — from concept and design through implementation and deployment • Design and develop cloud-native services using Microsoft Azure technologies to expand and enhance the platform • Build, maintain, and optimize CI/CD pipelines to ensure smooth and automated development workflows • Actively participate in agile team ceremonies, including sprint planning, stand-ups, reviews, and retrospectives • Continuously learn and adopt new technologies, best practices, and patterns to improve team performance and product quality

• Understand business requirements and translate them into clear, well-structured technical solutions. • Analyze and detail business rules, workflows, UI screens, integrations, validations and acceptance criteria. • Create functional and technical specifications to guide development. • Develop and evolve applications using .NET, Angular, RESTful APIs, relational databases and integrations. • Use AI tools to support development, documentation, testing, refactoring and code analysis. • Critically review AI-assisted solutions and code, ensuring quality, security, performance and maintainability. • Participate in API design, data modeling, integrations and technical decision-making. • Identify gaps in requirements, systemic impacts and technical risks. • Support less experienced developers in analysis, best practices and the responsible use of AI. • Contribute to continuous improvement of processes, technical standards and delivery quality.

• Understand business requirements and translate them into clear, well-structured technical solutions. • Analyze and detail business rules, flows, screens, integrations, validations and acceptance criteria. • Prepare functional and technical specifications to guide development. • Develop and enhance applications using .NET, Angular, REST APIs, relational databases and integrations. • Use AI tools to support development, documentation, testing, refactoring and code analysis. • Critically review solutions and code produced with AI assistance, ensuring quality, security, performance and maintainability. • Participate in API design, data modeling, integrations and technical decision-making. • Identify gaps in requirements, systemic impacts and technical risks. • Support less experienced developers with analysis, best practices and responsible use of AI. • Contribute to continuous improvement of processes, technical standards and delivery quality.

• Manage and develop the AMER Technical Architecture team, including Intermediate, Senior, and Staff Technical Architects working across platform, AI, and security-related customer engagements. • Manage the practice end to end, covering presales collaboration, engagement scoping, technical delivery oversight, staffing, utilization, and forecast alignment. • Coach architects to grow as credible advisors centered on customer outcomes, strong technical judgment, and consultative communication. • Partner on complex presales motions with Engagement Managers on estimation, solution framing, statement of work assumptions, and technical risk. • Join strategic customer conversations where senior technical expertise helps build credibility, clarify ambiguity, and improve the path to successful delivery. • Guide the team through first-mover delivery of new GitLab capabilities, helping shape how emerging offerings are tested, delivered, and improved in real customer environments. • Turn lessons from strategic engagements into reusable templates, architecture guidance, migration patterns, and implementation standards that can be adopted by the broader Professional Services organization. • Represent the Technical Architecture practice in AMER Professional Services management discussions and partner with adjacent functions to improve coordination, service evolution, and delivery consistency.