Sr SW Engineer: Go, Java, Kubernetes,LLM-3+yrs

Job Description Visa's Corporate IT (CIT) organization is on a transformational journey to redefine how enterprise technology enables global business scale, resilience, and employee productivity. We are moving beyond traditional infrastructure models toward software-defined, automated, cloud-integrated platforms that deliver security, reliability, and exceptional user experience at global scale. As part of this journey, the candidate will join a platform engineering team as a backend and systems-focused engineer, designing, developing, and implementing cross-platform client software and large-scale back-end microservices. The ideal candidate will bring extensive experience building solutions for functionally complex, large-volume, high-throughput, data-centric distributed systems, with strong hands-on depth in Go and Java. The successful candidate is expected to be a design, coding, and configuration expert, and will help advance the engineering craft of the team related to architecture, distributed-systems design, code quality, scalability, resiliency, and CI/CD. The candidate should enjoy working on diverse technologies and functionally complex, data-centric distributed applications, should be excited to take initiatives to solve complex systems problems, and get the job done while taking on new challenges. You should thrive in team-oriented, fast-paced environments where each team member is vital to the overall success of the projects. Key RESPONSIBILITIES: Primary: Design, build, and maintain a cross-platform agent/plugin in Go (Golang). Design and build back-end microservices and APIs in Java / Spring Boot with a high level of scalability, resiliency, and monitoring. Build and operate an Apache Kafka–based streaming pipeline (producers/consumers), including partitioning, consumer groups, and delivery/lag management, across an Active/Active multi–data-center topology. Containerize and deploy services using Docker and Kubernetes, and help define deployment, scaling, and operational patterns. Work with data stores — Click House (or an equivalent columnar/analytical store), Postgre SQL, and Redis — including schema/data-model design and building efficient queries. Design and build Gen AI-powered features and integrations — e.g., natural-language interfaces, LLM-assisted workflows, and agentic automation — integrating with LLM APIs and tooling. Contribute to the React front end as needed (secondary to back-end/agent work) and collaborate with UI-focused engineers on API contracts. Manage complex, multi-service dependencies across environments and data centers. Work with business partners, TPMs, and Product Managers to drive user-story grooming, functional/technical specifications, workflow designs, and use cases. Contribute to and help shape engineering best practices for the team. Stay abreast of emerging technologies, conduct POCs to prove concepts, and select the best solution approach. Work with limited direction within a complex distributed environment to drive delivery of solutions and meet service levels. Must be self-motivated with the ability to work in a fast-paced agile delivery model, collaborating with effective communication, quality, integrity, and reliable delivery. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Qualifications Basic QUALIFICATIONS: 2+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work Experience. PREFERRED QUALIFICATIONS: 3 or more years of work experience with a Bachelor's Degree, or more than 2 years of work experience with an Advanced Degree (e.g., Masters, MBA, JD, MD) 5 or more years of relevant experience in application development (designing, coding, and testing), with strong hands-on depth in back-end and systems programming. Bachelor’s degree in computer science or another Engineering discipline. Strong hands-on experience with Go (Golang), building cross-platform plugins/agents. Solid experience in core Java and Spring Boot, building production back-end services; multithreaded/concurrent and high-throughput processing experience is important. Hands-on experience with Apache Kafka (producers/consumers, partitioning, consumer groups, offsets/lag, delivery semantics). Experience with Docker and Kubernetes — building, containerizing, deploying, and operating services. Solid experience with microservices architecture and distributed-systems design — service decomposition, inter-service communication (REST/messaging), statelessness, fault tolerance, and designing for scalability, high availability, and multi–data-center (Active/Active) operation. Demonstrated knowledge of RDBMS and SQL, with hands-on Postgre SQL experience; ability to build complex queries from a solid understanding of the data model. Experience with Click House or an equivalent columnar / analytical database (or willingness to ramp quickly), and with Redis for caching. Experience building Gen AI / LLM integrations — working with LLM APIs, prompt engineering, retrieval-augmented generation (RAG), and/or agent/tool (function-calling, MCP) integrations — and applying them to real product features. Experience configuring CI/CD pipelines using industry-standard tools such as Git and Jenkins. Working knowledge of a modern Java Script framework (React preferred). A fast learner and quick adapter — able to ramp rapidly on new technologies, domains, and unfamiliar codebases, and to be productive with limited direction. Enjoy working fast and smart, and able to grasp complex concepts and build algorithms from scratch. Proficiency with Agile development techniques. Strong interpersonal, facilitation, and communication (written and verbal) skills, with the ability to present complex ideas clearly. Ability to work in a complex organization to determine business and customer needs and provide the best solution. Candidate must be able to proficiently multi-task, with a strong teamwork focus and the ability to foster collaboration within and across teams. Passionate about learning and applying new technologies and takes pride in delivering working software. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. If you thrive on rapid growth and enjoy working alongside positive, driven teammates, you’ll feel right at home here. Help us to uplift everyone, everywhere. Whether you’re starting your career, pushing your capabilities or are a seasoned professional, learn how we can partner to reimagine the world. Introduce yourself to our recruiters and we'll get in touch if there's a role that seems like a good match. At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Our evolving technology keeps us at the heart of the digital economy, connecting people to 80+ million businesses worldwide. Backed by a resilient, proven model, our expanding network fuels growth—for Visa and for your career. Your journey starts here — discover how we hire Ready to take the next step? Learn more about life at Visa, explore our hiring process and get first-hand insights by hearing directly from our recruiters about what to expect. Apply with confidence today! Learn our recruiting process