• Own the end-to-end success of solutions within an assigned value stream or product domain. • Bridge business and technical worlds to guide discovery, development, and delivery of solutions. • Act as a player-coach, facilitating alignment and removing obstacles for the team. • Translate organizational objectives into a clear vision and roadmap for the assigned value stream. • Prioritize initiatives based on business value, technical feasibility, and client impact. • Maintain awareness of industry trends and emerging technologies. • Apply working knowledge of MEP engineering workflows to accelerate discovery. • Oversee project execution within the team; planning, prioritization, and progress tracking. • Define acceptance criteria and measure success using quantitative and qualitative data. • Mentor team members and contribute to the refinement of delivery frameworks.

• Develop and maintain software applications, implementing features and fixing bugs. • Participate in pull requests and code reviews and follow coding standards. • Work with team members to address technical challenges and meet project requirements. • Engage in Agile ceremonies and contribute to iterative development processes. • Assist in identifying and resolving software issues. • Contribute to technical documentation and project reports. • Work closely with the Quality Assurance teams and participate in QA efforts when needed.

• You will work on the core DEX and help shape its execution, performance and trading experience. • Thinks like a product builder • Takes ownership from problem to product • Makes sound decisions with incomplete information • Enjoys working in an early, ambitious team • If you have built trading products and want to help create a faster, fairer DEX, apply!

• Design, document, and drive the architectural vision for the platform • Own complex, end-to-end initiatives from design and architecture through development, deployment, and iteration • Build the foundation that unifies Aura's data into a trusted, high-quality source for generating intelligence • Architect how AI agents access and reason over sensitive data • Build the systems that turn that intelligence into personalized insights and actions • Make and defend high-leverage technology choices across the stack • Establish and champion engineering best practices • Serve as a technical mentor, providing guidance on complex design challenges