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Visa

Staff SW Engineer- Java Full stack with GenAI experience

Visa is hiring a Staff SW Engineer- Java Full stack with GenAI experience in Bengaluru, India. Level rates it ; you can apply on Visa.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include OpenAI, Claude and Copilot.
  • Level classifies it as a senior role.
  • Level lists 833 other open roles at Visa.

AI in this role

Build and design scalable payment software solutions leveraging full-stack Java and generative AI experience.

openaiclaudecopilotllamaopenai-apiazure-openaipytorchtensorflowscikit-learncursorjavagenai
llm-integrationfull-stack-developmentdistributed-systemssoftware-engineeringagilescalability

About Us
Visa 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.

At 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.

Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.     

The Opportunity: 

We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions.   

The Work itself: 

  • Design code and systems that touch 40% of the world population while influencing Visa’s internal standards for scalability, security, and reusability 
  • Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings 
  • Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads 
  • Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. 
  • Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology 
  • Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities 

Essential Functions:

  • Demonstrates relevant technical working knowledge to understand requirements.
  • Identifies and contributes to the development and solution strategies to team members that improve the design and functionality of interface features across one or more project features, under minimal guidance.
  • Applies standard processes on the use of programming languages (e.g. HTML, C++, Java) to write code that fulfills website modification requests and technical requirements. 
  • Collaborates with others to support the piloting of new technology capabilities and features that enhance the user website experience across e-commerce products.
  • Analyzes bugs for simple issues and applies debugging tools to verify assumptions.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Education & Experience:

7.5+ years of relevant software engineering experience

Bachelor's or Master's degree in Computer Science, Software Engineering, Distributed Systems, or related field

Core Technical Skills

Java & Distributed Systems Expertise:

Extensive technical experience with JAVA, Spring, Hibernate

Advanced Java development including concurrency, multithreading, and performance optimization

Deep understanding of distributed system architectures (microservices, event-driven, service mesh)

Experience with distributed consensus algorithms (Raft, Paxos) and coordination services (Zookeeper, etcd)

Proficiency in distributed data management patterns (CQRS, Event Sourcing, Saga patterns)

Strong knowledge of distributed caching (Redis, Hazelcast, Memcached)

Experience with message queues and streaming platforms (Kafka, RabbitMQ, Pulsar)

Understanding of CAP theorem, eventual consistency, and distributed transaction management

Experience building highly available, fault-tolerant systems with disaster recovery capabilities

Knowledge of service discovery, load balancing, and circuit breaker patterns

Proficiency in code development using Eclipse/MyEclipse, JetBrains IntelliJ or any major Java IDE

Strong experience with GIT/Stash, Maven, and Jenkins

API & Integration:

Extensive experience in API Development using SOAP or REST, JSON and XML

Deep knowledge of API standards including OAuth, SAML

Experience with GraphQL, gRPC, and modern API gateway patterns

Understanding of API versioning, rate limiting, and distributed API management

Experience building async/reactive APIs using Spring WebFlux or similar frameworks

Data & Infrastructure:

Experience with SQL datastores (Postgress/MySQL) and Unix/Linux platforms

Understanding of database sharding, replication, and distributed database systems

Knowledge of data consistency patterns across distributed datastores

Working knowledge of streaming platforms like Kafka for real-time data processing

AI-First Engineering Skills:

Experience integrating AI/ML models into distributed production systems (TensorFlow, PyTorch, Scikit-learn)

Hands-on experience with LLM integration and serving at scale (OpenAI API, Azure OpenAI, Claude, Llama, etc.)

Proficiency in AI-assisted development tools (GitHub Copilot, Cursor, Cline, or similar)

Distributed Systems Design:

Experience designing scalable microservices architectures handling millions of transactions

Knowledge of distributed system monitoring and observability (Prometheus, Grafana, ELK stack)

Understanding of container orchestration in distributed environments

Professional Capabilities

Ability to write clean, coherent code following established coding guidelines

Strong interpersonal and effective communication skills (both written and verbal)

Highly driven, resourceful, and results-oriented

The Skills You Bring:

Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale

Challenge the Status Quo: Comfort in pushing the boundaries, ‘hacking’ beyond traditional solutions

Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++)

Builder: Experience building and deploying modern services and web applications with quality and scalability

Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc.

Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams

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.

How we rate this

Staff SW Engineer- Java Full stack with GenAI experience at Visa rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

LLM IntegrationFull Stack DevelopmentDistributed SystemsSoftware EngineeringAgileScalabilityOpenAIClaude

Questions you could be asked

  1. How have you integrated a large language model into a production application?
  2. Tell me about a project where full stack development was part of your work. What did you do?
  3. Tell me about a project where distributed systems was part of your work. What did you do?
  4. Tell me about a project where software engineering was part of your work. What did you do?
  5. Tell me about a project where agile was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: LLM Integration, Full Stack Development, Distributed Systems, Software Engineering, and Agile. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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