Senior Software Engineer – GenAI

Visa Consolidated Support Services India; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Visa in Bengaluru is seeking a Senior Software Engineer to join the VAS Innovation team, developing cutting-edge AI-enabled solutions and integrating APIs across platforms. You will work with cross-functional teams, lead AI initiatives, and contribute to modernization efforts, while ensuring security, performance, and scalable design.

The role requires 3–5 years of experience with Java/Python and front-end skills, plus Docker/Kubernetes expertise and strong problem-solving abilities.

Qualifications

• 3-5 years of relevant work experience in software engineering.
• Bachelor's degree or advanced degree.
• Expert-level Java or Python; C++ and C# a bonus.
• Experience building Generative AI applications and AI systems.
• Experience with ReactJS/Angular/NodeJS frontend technologies.
• Experience with Docker, Jenkins, Kubernetes.
• Knowledge of ML deployment, data preprocessing, model evaluation.
• Security, OAuth2.0, SSO and cryptography fundamentals.
• Ability to lead cross-functional teams and communicate AI concepts.

Responsibilities

• Innovative development of AI-enabled software solutions.
• Collaborate with cross-functional teams to deliver complex projects.
• Engage in continuous learning and skills development.
• Develop client-focused VAS integrations and APIs.
• Design and develop APIs for VAS applications and platforms.
• Participate in modernization roadmap and technology upgrades.
• Improve processes, reduce technical debt, and ensure quality.
• Adhere to security, performance, and reliability best practices.
• Automate development, testing, and deployment processes.
• Support incident/change management and RCA activities.

Skills

Java

Python

C++

C#

Generative AI

RAG architectures

Full-stack AI

ReactJS

Angular

NodeJS

Docker

Kubernetes

Jenkins

OAuth2.0 / SSO

Security / SSDLC

CI/CD pipelines

Distributed memory (Redis)

Multi-threading

Troubleshooting

Education

Bachelor's degree

Advanced degree

Tools

Docker

Jenkins

Kubernetes

Redis

OAuth2.0

Job description

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

Overview:

We are seeking a talented and motivated Senior Software Engineer to join our VAS Innovation team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our Value-Added Services (VAS) platform.

You will be tasked to quickly grasp and evaluate new ideas and technologies from both internal and external sources and match them appropriately with emerging technology and business opportunities, building a culture of innovation and a drive for excellence.

Essential functions

• Innovative Development:Engage in the design, development, and implementation of innovative software solutions, including generative AI and modern integration patterns. Contribute to a culture of innovation by actively exploring and applying new ideas and technologies.
• Collaborative Engineering:Collaborate with cross-functional teams to develop and deliver complex projects that integrate emerging technologies with our existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and other Product Development teams to build comprehensive solutions.
• Continuous Learning:Engage in continuous learning and development, actively seeking opportunities to enhance your skills and knowledge. Collaborate with peers to share insights and drive team growth.
• Client-Focused Solutions:Develop solutions with a client-centric mindset, ensuring that the VAS platform delivers exceptional value and innovation. Engage with client feedback to refine and improve our offerings.
• API and Integration Development:Contribute to the design and development of APIs that enhance the integration of our Value-Added Services applications, platforms, and solutions.
• Technology Modernization:Participate in the advancement of our modernization roadmap by adopting best-in-class technology solutions for our core platform, expanding our market reach and client base.
• Process Improvement:Continuously assess and improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time-to-market.
• Engineering Excellence:Adhere to industry best practices in software development, emphasizing quality, security, performance, scalability, availability, and resilience. Contribute to the management and reduction of technical debt within projects.
• Automation and Best Practices:Implement best engineering practices and automate software development, testing, and deployment processes. Ensure the timely delivery and maintenance of multiple services, focusing on continuous improvement.
• Incident and Change Management:Support incident management, change, and problem management processes to ensure the high availability and reliability of our services. Participate in root-cause analysis and troubleshooting to resolve issues effectively.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

• 3-5 years of relevant work experience and a Bachelor''s degree or with an advanced degree.
• Self-driven and willing to work across technologies/languages.
• Expert-level skills in Java or Python with skills in C++ and C# is a bonus.
• Experience in building Generative AI applications, conversational AI, RAG architectures, techniques and libraries
• Proven track record of leading AI projects from conception to deployment
• Ability to design and implement full-stack AI systems that integrate with existing business processes
• Experience in designing robust AI systems that can handle distribution shifts and adversarial attacks
• Deep understanding of the latest AI research and industry trends
• Familiarity with common robustness issues in AI systems
• 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
• Ability to design and implement AI components and integrate them into larger systems
• Ability to lead cross-functional teams and communicate complex AI concepts to non-technical stakeholders
• Working knowledge using distributed in-memory computing technologies like Redis.
• 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.

Preferred Qualifications:

• 3-5 years of work experience with a Bachelors Degree or with an advanced degree.
• Exposure to leading-edge areas such as Machine Learning, Deep Learning, Stream Computing and MLOps.
• Experience in mentoring junior engineers and collaborating with cross-functional teams.
• Experience in the payments tech industry is a plus

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.