• Design, develop, and maintain RESTful services, webhooks, and batch ETL jobs that connect core banking platforms with digital banking platforms. • Implement integrations using internal microservices and/or middleware to ensure scalability, reuse, and centralized monitoring. • Build and manage data models, mappings, and transformations for loans, shares/deposits, transactions, payments, and treasury services. • Establish and operate secure authentication/authorization patterns; manage secrets, keys, and certificates. • Develop CI/CD pipelines, automated tests, and observability to ensure integration reliability, performance, and recoverability. • Collaborate with product owners, business stakeholders, vendors, and security/compliance to refine requirements and deliver integration features. • Create and maintain documentation and deliver knowledge transfer to operations teams. • Troubleshoot production incidents; perform root cause analysis and implement corrective/preventive actions.

• 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