If you are a software developer interested in working on cutting-edge fintech technology at a global scale, the Software Engineer role at Visa could be an excellent opportunity. Visa is currently looking for engineers who are passionate about solving complex technical challenges and building systems that support billions of digital transactions worldwide.
In this role, engineers will contribute to developing innovative solutions that ensure the reliability, scalability, and security of Visa’s digital payment infrastructure. You will be working with modern technologies such as microservices, AI/ML platforms, and automation tools while collaborating with talented engineers in agile teams.
This opportunity is ideal for candidates who have early career experience in software development and want to build impactful solutions used by millions of people globally.
About the Company
Visa is one of the world’s leading digital payments technology companies. The organization operates one of the most advanced transaction processing networks, capable of handling tens of thousands of secure transactions every second.
Visa connects consumers, businesses, financial institutions, and governments in more than 200 countries and territories. Its payment network supports over 100 million merchant locations and nearly 15,000 financial institutions globally.
The company focuses heavily on innovation, investing in areas such as artificial intelligence, cybersecurity, big data, and next-generation payment technologies. Working at Visa provides engineers with the opportunity to build systems that impact a significant portion of the global population.
Role Overview
The Software Engineer position is part of Visa’s Product Reliability Engineering team, where engineers focus on designing and building intelligent solutions to predict and prevent system reliability issues in real time.
You will work in a multi-functional engineering team responsible for building scalable systems and AI-powered tools that support Visa’s global payment infrastructure. The role also provides opportunities to work with advanced large language models and develop deep learning solutions that operate at extremely high transaction volumes.
This role offers exposure to large-scale distributed systems, modern DevOps practices, and emerging AI technologies.
Responsibilities
• Build intelligent agentic solutions using advanced large language models from platforms such as OpenAI and Anthropic
• Develop deep learning solutions for real-time transaction systems operating at large scale
• Design scalable software systems that support global digital payment infrastructure
• Collaborate with cross-functional teams to design and develop high-quality software solutions
• Contribute to improving product reliability and operational efficiency
• Participate in agile development processes and engineering discussions
• Support innovation by building scalable and maintainable systems aligned with Visa’s technology standards
• Work on automation, monitoring, and system reliability improvements
Salary
Visa has not officially disclosed the salary for this role. However, based on industry estimates and similar software engineering roles in India, the expected salary range may typically fall between ₹10 LPA to ₹18 LPA, depending on experience, technical skills, and internal compensation policies.
In addition to salary, employees may receive benefits such as healthcare coverage, learning programs, paid time off, and career development opportunities.
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Who Can Apply (Eligibility)
| Criteria | Details |
|---|---|
| Education | Bachelor’s degree in Computer Science or related engineering field |
| Experience | 1–2 years of software development experience |
| Location | Candidates willing to work in Bangalore |
| Programming Knowledge | Experience in languages such as Java, Python, Go, Scala, JavaScript, or .NET |
| Development Knowledge | Understanding of microservices architecture, REST APIs, and distributed systems |
Preferred Skills
• Java, Python, Go, Scala, or similar programming languages
• Microservices development using REST and JSON
• Experience with relational or NoSQL databases
• Version control systems such as Git or Stash
• Build and deployment tools like Maven and Jenkins
• CI/CD automation and system monitoring tools
• Experience with streaming platforms like Kafka
• Knowledge of large-scale data analytics and statistical modeling
What Could Set You Apart
Candidates may stand out if they have experience in the following areas:
• Building AI-powered solutions using large language models
• Exposure to tools such as GitHub Copilot, Claude, or Power Automate
• Experience with big data and large-scale distributed systems
• Knowledge of machine learning or deep learning frameworks
• Strong analytical and problem-solving abilities
• Ability to quickly learn new technologies and adapt to changing environments
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What You’ll Get
Working at Visa provides engineers with a dynamic environment where innovation and collaboration are highly valued.
Some benefits include:
• Hybrid work environment
• Opportunities to work on global-scale technology systems
• Exposure to AI, machine learning, and advanced fintech platforms
• Career growth and mentorship opportunities
• Learning programs and experimentation with emerging technologies
How to Apply
Interested candidates can apply now by click the button below to submit your application.
Before applying, ensure that your resume highlights relevant programming experience, technical projects, internships, and exposure to technologies such as microservices, cloud platforms, or AI tools. Including links to GitHub repositories, coding portfolios, or personal projects can strengthen your profile.
Candidates preparing for this role should review important topics such as data structures, system design basics, REST API development, and object-oriented programming concepts. Practicing coding problems and understanding modern development practices like CI/CD pipelines and DevOps tools can also improve your chances during technical interviews.
If you have experience experimenting with AI tools, large language models, or automation platforms, mentioning these skills can give you an additional advantage during the selection process.
Disclaimer: This job information is collected from official company career pages and other public sources. We do not charge any fees for job information or applications. We do not provide recruitment services or guarantee job placement. Readers are advised to verify details from the official company website before applying. We are not responsible for any loss or issues arising from the use of this information.
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