• Collaborate with HungerRush teams to design, develop, and support existing as well as create new functionality and applications with a focus on LLM-powered features • Write high quality code following best practices and standards for coding, compliance, security, and performance • Contribute to software development with an emphasis on architecture, design, quality, implementation, and culture • Utilize the latest advances in AI software development to improve effectiveness of delivering business value • Mentor software engineers • Help troubleshoot issues and identify bug fixes

• Design and architect systems for the Treasury Platform, actively participating in design reviews. • Mentor engineers, fostering their growth and development by upholding a high bar for quality and operational metrics. • Contribute to and drive complex projects, executing development tasks through completion. • Collaborate with cross-functional partners (Product, UX, QA) to ensure the team meets project timelines and solutions align with business strategy. • Ensure high quality in deliverables through code reviews and by applying best practices for robust and scalable solutions. • Own monitoring, diagnosing, and resolving production issues within the Treasury Platform. • Assist in assessing technical risk and feasibility to support the technical roadmap. • Provide technical support for stakeholder groups, making complex concepts easy to understand.

• Design, implement, and maintain highly scalable, fault-tolerant backend services powering real-time data synchronization and streaming • Optimize systems for latency, throughput, and reliability to support demanding data transfer workflows • Guide architectural decisions around multi-region deployment, disaster recovery, and data residency for customers operating worldwide • Collaborate with both engineering and product stakeholders to deliver practical solutions that directly benefit end users and business needs • Own projects from concept to production—work with internal and external users to understand requirements and troubleshoot real-world scaling problems • Continuously monitor, evaluate, and improve platform automation, observability, and incident response techniques

• Shape and scale our real-time data streaming systems — the backbone powering billions of in-the-moment decisions across our platform. • Architect and improve services that process millions of events per second with single‑digit millisecond latency, touching almost every part of our data plane. • Tackle challenges few companies face: ultra‑low‑latency ingestion, distributed caching, deduplication at scale, and fault‑tolerant event computation. • Be the type of engineer who gets excited by raw throughput charts translating into better customer outcomes.