• Contribute to the development and maintenance of full-stack applications that power core products and platforms. • Build responsive, performant user interfaces using React. • Develop and maintain backend services using Go and event-driven architectures. • Work with microservices in containerized environments using Docker and Kubernetes. • Participate in architecture discussions and contribute ideas that improve performance and maintainability. • Collaborate with engineers, product managers, designers, and QA to deliver features end-to-end. • Monitor and debug your code in production, contributing to application reliability and performance improvements. • Write automated tests and follow CI/CD best practices to ensure quality deployments. • Participate in code reviews, technical discussions, and knowledge sharing across teams. • Join on-call rotation to support production systems and assist in incident response.

• Design, implement and deliver scalable AI-centric software systems. • Drive the development of agentic AI capabilities for identifying vulnerabilities, automating penetration testing processes, workflow optimization and enhancing threat intelligence. • Own and drive the end-to-end development of product features from ideation to production deployment and monitoring. • Actively contribute to and drive the design and implementation of AI-enabled systems, promoting effective SDLC processes. • Lead technical discussions, code reviews and design sessions, sharing your expertise to uplift the team's capabilities. • Provide mentorship and support to junior engineers, encouraging professional growth and development. • Collaborate closely with cross-functional teams to integrate AI capabilities into broader systems and applications.

• Support the design and implementation of flexible software solutions • Collaborate with multi-disciplinary project teams and provide high-impact, unique solutions for our customers’ most important problems • Initially support system integration and testing for a mature mission planning solution transitioning to an active user community • Subsequent projects driven by the intersection of interests with our expanding R&D portfolio • Involve periodic travel, up to 20%

• Design and implement features and improvements in the VERA engine kernel, including areas such as runtime execution, state management, checkpointing, scheduling, fault tolerance, and SQL/Table API. • Contribute to ecosystem components including connectors, catalogs, CDC pipelines, and AI model integration. • Diagnose and resolve correctness, performance, and stability issues in distributed production environments. • Produce and review technical design documents; participate in architectural discussions for both kernel and ecosystem initiatives. • Uphold engineering quality through code review, thorough testing, and rigorous performance and regression analysis. • Collaborate with adjacent teams across platform, SRE, and product functions.