• Participate in MuleSoft Technical Product and Consulting Services training, methodology and enablement. • Begin participation in field activities with clients by shadowing seasoned architects and practicing enablement gained from training. • Begin to execute MuleSoft implementations for customers and start on your journey to internalise business outcomes and business context relevance to MuleSoft implementation methodologies and approaches. • Complete MuleSoft technical certifications and fully ramp on technology and implementation methodologies; start to develop and contribute subject matter expertise and project deliverables to internal knowledge exchange. • Begin mentorship and guidance of junior Services team members and help to build out our services organisation. • Continue to lead technical teams through multi-phased delivery projects and provide hands-on delivery guidance to influence standards for development, governance, and operational life cycle. • Evangelise frameworks, project deliverables, best practices/policies and implementations to internal collaboration networks and IP sharing. • Identify opportunities to expand MuleSoft footprint and drive further services and customer service, lead multiple engagements simultaneously, and drive partnerships and cross collaboration with MuleSoft partners, SIs and 3rd Parties. • Identify ongoing risks and pain points throughout project experiences in the field and contribute to developing and implementing internal mitigation measures to meet customer needs. • Evangelise, train, coach and mentor Services team members on hard technical skills and soft skills. • Identify opportunities and efficiencies in customer IT operating model, and support implementation of the SDLC pipeline to get greater values out of the MuleSoft platform. • Lead development of technical brown bag sessions and publish/facilitate reusable content to the field. • Work with MuleSoft product leadership providing valuable product insight, guiding product direction and features. • Deliver compelling presentations, architectural blueprint documents, and requirements-gathering workshops to influence the strategic direction of our projects and lead customers through solution design.

• Design, develop, and maintain scalable backend services in Golang, adhering to clean architecture principles and established team standards. • Build and optimize infrastructure for embedding generation, vector search, and/or LLM integration. • Own the full-service lifecycle, including architecture, deployment, monitoring, testing, and scaling. • Write comprehensive unit, integration, and end-to-end tests to ensure high reliability and minimize regressions, following rigorous testing practices. • Collaborate closely with AI/ML engineers, Data Scientists, Architects and other team members, fostering a positive and productive team environment. • Develop pipelines for model serving, versioning, and inference with a focus on latency and robustness. • Monitor production systems, conduct root cause analysis, and proactively resolve issues. • Actively participate in team discussions, code reviews, and knowledge sharing to uphold team standards and continuous improvement.

• Design, build, and maintain database and data integration solutions that support enterprise intelligence and data delivery efforts. • Develop and optimize database structures, implement ETL pipelines, and support data ingestion and transformation across multiple systems. • Ensure data is delivered accurately, efficiently, and securely to downstream users and platforms, while supporting integration efforts across Military Health, readiness, and federal health data sources.

• Design, develop, and maintain backend services and APIs using .NET (C#). • Build and manage PostgreSQL databases. • Implement and optimize integration testing strategies, with a focus on handling 500+ integration tests using .NET libraries and tools. • Leverage tools like Liquibase to facilitate database migrations and version control of database schemas. • Work with Docker to ensure the local development environment matches production for seamless testing and debugging. • Troubleshoot and resolve issues proactively. • Explore opportunities for automating tasks, such as writing integration tests with AI-driven tools (nice to have). • Write and maintain comprehensive technical documentation.