• Design, develop, and maintain high-quality software applications • Implement C# OOP and SOLID principles • Participate in the full software development lifecycle, including requirement gathering, design, development, testing, and deployment • Configure CI/CD pipelines and support DevOps practices • Troubleshoot and debug applications

• Drive work with structure and momentum, eliminating ambiguity and building confidence across delivery teams and client stakeholders. • Be the technical interpreter for client stakeholders: uncovering nuances of the business need; framing the requirements in actionable terms; articulating to stakeholders in plain language the available options and our recommendations; communicating how the designed solution meets the business need; building a relationship as a trusted advisor. • Analyze existing systems and recommend improvements in system architecture, development, and deployment process. • Create technical design of systems given desired functionality and project constraints such as budget and schedule. • Proactively spot risks, gaps, and opportunities, and design solutions in ambiguous situations before they require escalation. • When a client or project requires expertise in an unfamiliar technical domain, take ownership of closing the gap, learning on demand and adapting in real time. • Oversee and participate in implementation, including mentoring and guidance for development staff on a project. • Oversee and participate in deployment of systems and ensure maintenance and support capabilities for systems. • Provide high level estimates as inputs to project plans. • Prepare technical documentation. • Ensure development proceeds in accordance with the designed architecture and supports code and system quality. • Manage the AI agents used on the project team, including configuring, refining, and enhancing those tools, defining standards and constraints for their use across the team, and mentoring team members on them. • Own AI agent economics at the architecture level: caching strategy, model tiering, and fallback patterns that keep solutions performant and cost-appropriate. • Assist with proposed implementations and estimates for project proposals and RFP response activities. • Support the ownership and evolution of technical tools and practices used within the company, including improvements to the software development lifecycle and workflows. • Lead and support more junior members of the engineering team as a manager, mentor, technical resource, or career coach.

• Lead architecture and development of entitlements management, provisioning systems and operational workflows for end-to-end Identity Platform customer lifecycle management. • Provide liaison with US-based Product Management and cross-platform architecture teams. • Lay the foundation for building scalable user experiences for all Identity Platform users and Identity related workflows. • Use specialized expertise to interpret internal or external business needs and recommend best practices. • Solve complex, mission-critical problems and take a broad perspective to identify innovative solutions that stand the test of time. • Influence a defined software engineering roadmap and architectural decisions focusing on security, scalability, and reliability. • Leverage AI-assisted development to deliver business outcomes. • Provide expertise in software development lifecycle and agile engineering strategies across teams and partners. • Lead and mentor others, improve technical design of solutions, and advocate for new features addressing customer needs. • Communicate delivery trade-offs and negotiate with cross-functional partners to align on direction and outcomes.

• Own the delivery of optical subsystems to the instrument program. • Own and manage comprehensive optical error budgets and performance metrics. • Collaborate with systems engineering to support cross-functional technical budgets. • Define and drive the strategy for optical instrument assembly and testing. • Support subsystem and instrument level functional, performance, and environmental testing. • Champion continuous improvement of testing methodologies and best practices.