• Design, develop, and maintain robust, scalable, and high-performance web applications • Build and evolve shared component libraries and design-system assets used across multiple Mobility applications • Develop systems designs, and drive alignment across teams • Implement comprehensive automated testing strategies, including unit, integration, end-to-end, load, and performance testing • Identify bottlenecks and tech debt; drive incremental scalability, and stability improvements • Develop and enhance automation frameworks for testing, monitoring, auto-scaling, continuous integration and deployment to reduce time to market • Partner with Product, Design, and UX to deliver high-quality user experiences • Conduct code reviews (comment, approve, seek revisions, merge), and champion engineering best practices, and continuously raise the quality bar • Troubleshoot complex production issues, devise fixes, author root cause analysis documents, and ensure lasting performance and reliability • Maintain robust documentation (design docs, run books, change management docs, and readiness plans) • Provide live-site production support, ensuring rapid incident resolution, and driving continuous improvement • Drive cross-team projects as a single-threaded-owner (STO) or tech lead, and actively unblock other engineers to make progress • Gain hands-on experience with automation and AI-driven engineering solutions.

• Deploy and manage containerized services using Docker. • Deploy and run Python based GenAI pipelines interacting with locally deployed Large-Language Models. • Deploy Large Language Models and inference-endpoints in secure networks. • Enable customers to use the translation pipeline for their code-generation workflows in cases such as translating C++ to Rust. • Diagnose issues locally. Create summaries that can be shared with the engineering team for remote debugging.

• Provides senior technical leadership for architecting, developing, securing, testing, and sustaining C2SET software • Integrates simulations, algorithms, and databases • Architect and implement software capabilities; ensure sustainment and modernization • Design, update, and migrate software, databases, simulations, algorithms • Integrate with AOC WS, ASCCE, ACE-IOS, and Joint federations • Lead full-stack and Agile development

• Joining each and every one of your colleagues in creating an inclusive workspace; • Owning, maintaining, and supporting the reliability, architecture, and evolution of our production machine learning and delivery platform; • Designing, operating, and improving large scale Databricks/Spark pipelines and workflows • Partner with our data scientists to productionize new data and ML-powered products; • Leading improvements on the software integration layers between data pipelines and product workflows; • Growing the team via mentorship and leadership, reviewing technical documents, improving code quality, and improving team performance and processes; • Acting as a senior technical owner in debugging complex production issues and improving system observability; • Collaborating with cross-functional teams to support their data infrastructure needs.