• Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications. • Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular. • Write clean, testable, and maintainable code following secure coding and software engineering best practices. • Build and integrate modular microservices to improve scalability, maintainability, and interoperability. • Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines. • Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management. • Contribute to secure deployments across hybrid or disconnected environments (IL4–IL6, AWS GovCloud, or on-prem). • Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis. • Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases. • Collaborate with system engineers and architects to ensure interoperability across software ecosystems. • Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships. • Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems. • Write, test, and deploy software within secure or classified environments. • Automate testing and monitoring to ensure performance, reliability, and repeatable deployments. • Support the transition of prototypes to operational systems, focusing on maintainability and observability.

• 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 • Craft systems designs, lead design decisions, and drive alignment with other senior engineers • Lead 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 • Lead 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 • Conduct objective and comparative analyses of competing technologies to advise the team of pros and cons of a technology solution • Devise mechanisms to create robust documentation (design docs, run books, change management docs, and readiness plans) • Design tech strategy for live-site support by designing monitoring systems via code, 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

• Design, develop, and maintain robust, scalable, and efficient software solutions • Work across the full stack, ensuring seamless integration between internal backend APIs, frontend software, and third party systems • Collaborate with product managers, designers, and engineers to define features and deliver high-quality software on time • Review and improve existing systems for performance, security, and maintainability • Mentor junior engineers, providing technical guidance and helping to foster a collaborative and inclusive environment • Write clean, maintainable, and testable code • Develop automated tests and ensure test coverage • Participate in code reviews to uphold code quality standards • Ensure software meets the regulatory and security requirements in the healthcare space • Continuously learn and adapt to new technologies and industry trends

• Drive Technical Excellence: Define and drive a studio‑wide program for quality, performance, and continuous improvement. Establish performance budgets, prevent regressions with automated checks, and improve DORA delivery metrics. • Lead Security and Privacy: Be the accountable owner for Security and Privacy. Keep us up to date and ahead of Platform Security requirements. • Manage Operations and Reliability: Lead the Operations team. Set Service Level Objectives with error budgets, design graceful degradation and failover, define on‑call and runbooks, and drive post‑incident reviews that deliver durable fixes. • Build Observability and Error Monitoring: Standardize logs, metrics, traces, and real‑time error and crash reporting across backend and clients. Create actionable, SLO‑based alerting and executive health dashboards. • Improve Developer Productivity and the Software Development Lifecycle: Level up CI/CD, branching strategy, and change control. Add quality gates, static analysis, secret scanning, SBOM and dependency management, and supply chain controls. • Drive FinOps: Own cloud budgets and forecasts. Improve commitment coverage, right‑size compute and storage. Report monthly on cost versus performance. • Lead Incidents and Risk: Act as incident commander for high‑severity issues. Run table‑tops, keep risks tracked with owners and dates, and prevent recurrences. • Mentor and Develop Leaders: Coach Tech Leads and senior ICs. Set expectations for design docs, code reviews, and outcomes. Build a culture of clear ownership and a bias toward delivering. • Partner Cross‑Functionally: Work with Product, Legal, Finance, and Player Success to align technical plans with business goals and regulatory needs. • Leverage AI as a force multiplier: Use AI to accelerate development and operations (code assist, test generation, incident triage, analytics). • Own SRED: Create an auditable process with eligibility gates in Jira, contemporaneous notes, and artifact capture. Partner with Finance for accurate, on‑time claims.