• Design, implement, and ship products that wrap AI capabilities into something users can use • Build responsive front-ends, scalable back-end services, and database and pipeline plumbing • Collaborate closely with AI engineers to integrate models, agents, and retrieval systems • Own testing, observability, and feedback loops for product performance • Work with engineers, designers, and strategists during the project lifecycle

• Develop, modify, and maintain Linux kernel modules using C, with a focus on performance, scalability, and maintainability. • Implement and optimize memory management functions and libraries, improving efficiency in memory allocation, deallocation, and data integrity. • Design and develop new kernel components and features, particularly related to memory management and low-level system operations. • Debug and troubleshoot kernel-level issues, using tools like gdb, strace, and other debugging utilities. • Perform code reviews, optimize existing code, and adhere to best practices in kernel development. • Collaborate closely with system architects, embedded software engineers, and hardware engineers to ensure seamless integration and optimal performance. • Contribute to documentation, including technical specifications, code documentation, and user guides for kernel components and memory management libraries.

• Design and implement low-latency REST and GraphQL APIs using Spring Boot, handling millions of requests daily with sub-100ms response times • Architect and build production-grade microservices with Spring Cloud — including service discovery, distributed config, circuit breakers, and API gateway integration • Build high-performance export and reporting services supporting large-scale data extraction for enterprise customers using Spring Batch and async processing patterns • Design resilient systems leveraging Spring's resilience patterns, rate limiting, and solve multi-tenancy challenges including "noisy neighbor" problems • Lead technical design reviews, establish backend engineering best practices, and mentor engineers across the team on Java and Spring Boot patterns • Collaborate closely with our US-based product and engineering teams to translate complex supply chain requirements into elegant, maintainable backend solutions

• Gathering and analyzing business and technical requirements for software applications • Take the lead in making implementation decisions based on high-level requirements. • Develop web-based software for services that facilitate the workflow of automated analysis of mobile applications. • Foster the growth of junior engineers through code reviews, mentoring, supporting, etc. to build and grow our engineering team. • Learn from and collaborate with stakeholders in various projects to identify paths forward for development.