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Senior Software Engineer (3+, Java/Python, GenAI)

Visa

Senior Software Engineer (3+, Java/Python, GenAI)

Visa

Bangalore, India

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Generous paid time off and holidays

Professional development budget

Parental leave

Team events and activities

Learning

Parental Leave

Required Skills

Node.js

JavaScript

PostgreSQL

About Us

Help us enable everyone on the planet to gain access to the global economy by being the best way to pay and be paid.

Size: 10000+ employees
Industry: Technology, Fintech, Engineering, Information Technology

View Company Profile

Company Description

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 the office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

2+ years of relevant work experience and a Bachelors 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 work experience with a bachelor’s degree or 2 years with an Advanced Degree (Masters/PhD in Engineering/Computer Science).
Self-driven and willing to work across technologies/languages.
Expert-level skills in Java, Python and NodeJS with skills in C++ and C# is a bonus.
Experience in building Generative AI applications, conversational AI, RAG architectures, techniques and libraries
In-depth understanding of NLP including tokenization, word embeddings, and basic sequence models.
Proficiency in implementing and fine-tuning AI models using popular frameworks (e.g., Tensor Flow, Py Torch, scikit-learn)
Understanding of model compression techniques and their trade-offs
Awareness of transfer learning concepts and their applications
Ability to design and implement AI components and integrate them into larger systems.
Familiarity with common robustness issues in AI systems
Exposure to leading-edge areas such as Machine Learning, Deep Learning, Stream Computing and MLOps.
Proficiency in front-end web development technologies like ReactJS/Angular/NodeJS.
Ability to work with large datasets and perform exploratory data analysis
Experience with data preprocessing, feature engineering, and model evaluation techniques
Experience in configuring build and deployment systems Docker, Jenkins, and Kubernetes.
Expertise in handling multi-threading, concurrency, and error-handling.
Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing large components for enterprise projects.
Knowledge of version control, CI/CD pipelines, and best practices for ML model deployment
Familiarity with deep learning basics, including neural network architectures and training procedures

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Working knowledge using distributed in-memory computing technologies like Redis.

Understanding enterprise security, certificate management, etc.

Hands-on experience with Jenkins and container deployment architecture.

Experience using OAuth2.0, SSO, and authentication methods/protocols.

Expertise in application security, SSDLC, and knowledge of cryptography fundamentals.

Experience in the payments tech industry is a plus.

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 We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn’t work with payments technology or web applications before joining Visa

Additional Information

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.

Client-provided location(s): Bangalore, India

Job ID: 21b90310-8293-4b6f-8a5a-798fcaaf68bb

Employment Type: OTHER

Posted: 2026-01-06T14:49:31
Apply on company site

Perks and Benefits

Health and Wellness

  • Long-Term Disability
  • HSA With Employer Contribution
  • On-Site Gym
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Short-Term Disability
  • Health Reimbursement Account
  • Mental Health Benefits
  • Virtual Fitness Classes
  • HSA

Parental Benefits

  • Fertility Benefits
  • Family Support Resources
  • Birth Parent or Maternity Leave
  • Non-Birth Parent or Paternity Leave

Work Flexibility

  • Flexible Work Hours
  • Remote Work Opportunities
  • Hybrid Work Opportunities

Office Life and Perks

  • Commuter Benefits Program
  • Company Outings
  • On-Site Cafeteria
  • Holiday Events
  • Happy Hours
  • Casual Dress

Vacation and Time Off

  • Paid Holidays
  • Paid Vacation
  • Volunteer Time Off
  • Summer Fridays
  • Leave of Absence
  • Personal/Sick Days

Financial and Retirement

  • 401(K)
  • Relocation Assistance
  • Performance Bonus
  • Stock Purchase Program
  • Company Equity
  • 401(K) With Company Matching
  • Financial Counseling

Professional Development

  • Shadowing Opportunities
  • Access to Online Courses
  • Promote From Within
  • Learning and Development Stipend
  • Tuition Reimbursement
  • Mentor Program
  • Leadership Training Program
  • Associate or Rotational Training Program
  • Lunch and Learns
  • Internship Program
  • Professional Coaching

Diversity and Inclusion

  • Diversity, Equity, and Inclusion Program
  • Employee Resource Groups (ERG)

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About Visa

Visa

A multinational financial services company that facilitates electronic payment systems throughout the world.

10,001+

Employees

Foster City

Headquarters

$500B

Valuation

Reviews

2.0

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.3

10%

Recommend to a Friend

Pros

Active recruiting for senior positions

Work authorization support for spouses

Opportunity to seek external roles

Cons

Toxic work environment

Below-market compensation offers

Poor management and leadership

Salary Ranges

23 data points

Junior/L3

Mid/L4

Junior/L3 · Analyst

1 reports

$106,195

total / year

Base

$92,300

Stock

-

Bonus

-

$106,195

$106,195

Interview Experience

4 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 75%

Negative 25%

Interview Process

1

Application Review

2

Online Assessment

3

Phone Screen

4

Technical Interview Rounds

5

Final Round Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design