{"id":58478,"url":"https://alion.io/job/visa-staff-sw-engineer-java-backend-with-genai-experience","title":"Staff SW Engineer- Java backend with GenAI experience","company":{"id":83,"name":"Visa","domain":"visa.com","url":"https://alion.io/company/visa","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":177,"ghost_share":0,"stale_share":0.576,"repost_share":0.023,"time_to_fill_p50_days":23,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":36000,"max_usd":95000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":19},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"API Gateway","optional":false},{"name":"Azure","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Cline","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Db2","optional":false},{"name":"etcd","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GitHub","optional":false},{"name":"Grafana","optional":false},{"name":"gRPC","optional":false},{"name":"Hazelcast","optional":false},{"name":"Hibernate","optional":false},{"name":"Jaeger","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Linux","optional":false},{"name":"Llama","optional":false},{"name":"Maven","optional":false},{"name":"Memcached","optional":false},{"name":"MySQL","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Pinecone","optional":false},{"name":"Prometheus","optional":false},{"name":"RabbitMQ","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"SOAP","optional":false},{"name":"Weaviate","optional":false},{"name":"ZooKeeper","optional":false}],"status":"live","first_seen_at":"2026-08-14T00:00:00Z","employer_posted_date":"2026-08-14","last_verified_at":"2026-10-17T21:39:44Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":64},"description":"About Us\nVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.\nAt Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.\nJoin Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.\nJob Description\nSoftware Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60-75% of their time coding, working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams - product managers, designers, data scientists, QA, operations, and compliance - to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements.\nAll roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.\nKey Responsibilities:\nCollaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solutions.\nTranslate functional requirements into system designs and communicate component interactions, ensuring alignment with business needs and timelines.\nDesign and develop product components, refine code plans, and lead design reviews to ensure completeness and adherence to requirements.\nContribute to project estimation, considering delivery costs and escalating issues that may cause delays.\nLead by example in creating, implementing, and maintaining extensible, reusable code, and drive code quality through metrics and best practices.\nApply debugging tools to resolve moderately complex issues and identify opportunities for automation across products.\nLead code reviews, ensuring adherence to coding standards and providing feedback to team members.\nCreate complex test plans, identify test gaps, and proactively address defects to minimize customer impact.\nLeverage data analysis and monitoring standards to identify patterns and defects in all environments.\nRespond to incidents during on-call rotations, troubleshoot complex issues, and assist in incident response and resolution.\nBuild, enhance, and identify new developer tools to support programs and applications.\nProactively seek new knowledge and adapt to trends and technical solutions to improve product performance and recommend resources to other engineers.\nThis is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.\nQualifications\nEducation & Experience:\n7.5+ yearsof relevant software engineering experience\nBachelor's or Master's degreein Computer Science, Software Engineering, Distributed Systems, or related field\nCore Technical Skills:\nJava & Distributed Systems Expertise:\nExtensive technical experience withJAVA, Spring, Hibernate\nAdvanced Java developmentincluding concurrency, multithreading, and performance optimization\nDeep understanding ofdistributed system architectures(microservices, event-driven, service mesh)\nExperience withdistributed consensus algorithms(Raft, Paxos) and coordination services (Zookeeper, etcd)\nProficiency indistributed data managementpatterns (CQRS, Event Sourcing, Saga patterns)\nStrong knowledge ofdistributed caching(Redis, Hazelcast, Memcached)\nExperience withmessage queues and streaming platforms(Kafka, RabbitMQ, Pulsar)\nUnderstanding ofCAP theorem, eventual consistency, and distributed transaction management\nExperience buildinghighly available, fault-tolerant systemswith disaster recovery capabilities\nKnowledge ofservice discovery, load balancing, and circuit breaker patterns\nProficiency in code development usingEclipse/MyEclipse, JetBrains IntelliJor any major Java IDE\nStrong experience withGIT/Stash, Maven, and Jenkins\nAPI & Integration:\nExtensive experience inAPI Developmentusing SOAP or REST, JSON and XML\nDeep knowledge of API standards includingOAuth, SAML\nExperience withGraphQL, gRPC, and modern API gateway patterns\nUnderstanding ofAPI versioning, rate limiting, and distributed API management\nExperience buildingasync/reactive APIsusing Spring WebFlux or similar frameworks\nData & Infrastructure:\nExperience withSQL datastores(DB2/MySQL) andUnix/Linux platforms\nUnderstanding ofdatabase sharding, replication, and distributed database systems\nExperience withdistributed file systems(HDFS, S3, or similar)\nKnowledge ofdata consistency patternsacross distributed datastores\nProven experience withtools development, automation(CI/CD, Auto Deployment, System Availability), logging and monitoring\nExperience withdistributed tracing(Jaeger, Zipkin, OpenTelemetry)\nWorking knowledge ofstreaming platforms like Kafkafor real-time data processing\nAI-First Engineering Skills:\nHands-on experience withLLM integrationand serving at scale (OpenAI API, Azure OpenAI, Claude, Llama, etc.)\nProficiency inAI-assisted developmenttools (GitHub Copilot, Cursor, Cline, or similar)\nExperience buildingintelligent APIswith AI/ML inference endpoints in distributed environments\nUnderstanding ofvector databases(Pinecone, Weaviate, ChromaDB) for RAG applications\nKnowledge ofprompt engineeringand AI model fine-tuning\nDistributed Systems Design:\nExperience designingscalable microservices architectureshandling millions of transactions\nKnowledge ofdistributed system monitoringand observability (Prometheus, Grafana, ELK stack)\nUnderstanding ofcontainer orchestrationin distributed environments\nExperience withchaos engineeringand resilience testing\nProficiency indistributed debuggingand troubleshooting techniques\nProfessional Capabilities\nAbility to writeclean, coherent codefollowing established coding guidelines\nStrong interpersonal and effective communication skills(both written and verbal)\nHighly driven, resourceful, and results-oriented\nExperience leveraging AI tools toaccelerate development velocityand code quality\nAbility to design and communicatedistributed system architectureseffectively\nVisa is an EEO Employer\nQualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. 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