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.     

Team Overview: 

Tink, delivering Open Banking Solutions as a part of Visa, is building an open banking platform that enables banks, fintech and startups to develop data-driven financial services. Through one API, Tink allows customers to access aggregated financial data, initiate payments, enrich transactions and build personal finance management tools. Tink connects to more than 3,400 banks that reach over 250 million bank customers across Europe & US. Our solutions are ready-to-go products, each developed to solve specific problems and bring value to both businesses and their customers.

As part of the initiative, we are building Visa’s Open Banking engineering team in Bangalore—designed from the ground up to be AI-first. Every engineer in this team will work in close collaboration with Generative AI agents as development companions, leveraging Visa’s extensive portfolio of AI models, tools, and experimentation platforms. This AI-augmented approach will supercharge every stage of the engineering lifecycle—from solution design and code generation to testing, deployment, monitoring, and continual service improvement—enabling us to deliver innovative, high-quality connectivity solutions at unprecedented speed and scale.   

Role Overview:

As a Senior Engineering Manager in this team, you will lead a world-class team of Engineers to define, drive and execute on a shared strategic vision for providing Open Banking solutions in global markets. You will collaborate closely with product and tech partners, leading 1-2 engineering teams to contribute to our mission of delivering innovative and high-quality services to our customers. You will champion an AI-first engineering culture, ensuring your teams leverage Generative AI tools and methodologies to accelerate delivery and maintain engineering excellence. This role requires hands-on experience with Generative AI technologies—you will personally engage with AI tools and lead by example in adopting AI-augmented development practices.

What You Will Do:

Leadership & Team Management:

• Manage a team of 8-15 experienced professionals (full-time employees and contractors) who exercise latitude and independence in assignments.
• Hire, retain and grow a high-performing team of software engineers with AI-first mindset.
• Invest in the career development of direct reports through mentorship, coaching, and growth opportunities.
• Set high expectations for your teams, coach, grow, and mentor them to reach their goals.
• Resolve team conflicts and keep the team focused on the vision.
• Build a culture of engineering excellence (quality, security, performance, scalability, availability, resilience).

Strategic & Technical Leadership:

• Full accountability for the overall delivery, performance and quality of the products in your area.
• Partner with product managers in developing short-term and long-term strategy and roadmaps that align with business goals.
• Work closely with architects and senior engineers to develop the best technical design and approach for new product development.
• Provide technical leadership to development teams by participating in design, performing design reviews and code reviews.
• Deliver products with moderate to complex technical interdependencies with cross-geographical teams.
• Partner with remote teams (EU, US) to ensure alignment across product development.
• Maintain hands-on involvement in coding, technical decisions, architecture reviews, and critical problem-solving.
• Drive innovation in Open Banking by identifying emerging technologies, industry trends, and novel approaches that evolve our products and platform capabilities—enabling us to stay ahead in the rapidly changing financial services landscape.

Generative AI Leadership & Hands-on Application:

• Demonstrate ownership of AI-powered engineering practices from concept to production, including model selection, evaluation, and integration into team workflows.
• Lead by example—personally use GenAI agents for design, code reviews, documentation, and problem-solving to model AI-first practices for your teams.
• Drive proof of concept initiatives to validate new AI capabilities before scaling across the organization.
• Continuously experiment with Visa's rich portfolio of Generative AI models (transformers, LLMs, GANs, VAEs, multimodal models) and cutting-edge AI tools for production and innovation.
• Foster experimentation in Visa's AI sandbox, encouraging teams to leverage multiple GenAI models and frameworks for innovation.
• Guide application of Generative AI models to complex API integration challenges, anomaly detection, and intelligent automation.
• Establish best practices for prompt engineering and AI tooling orchestration within your teams.
• Contribute to AI-first engineering culture—sharing learnings from model experimentation and championing AI engineering assistants across the organization.

Open Banking & Operational Excellence:

• Oversee development of software agents integrating data from 3400+ financial institutions.
• Ensure teams build high-performance, scalable APIs integrating with both documented and undocumented banking interfaces.
• Own high-load systems with stringent uptime requirements, including oversight of on-call rotations.
• Drive continual service improvements enabling real-time transactions and payment processing.
• Manage the prioritizations and delivery of enhancements and bug fixes on platform.
• Instill best practices for software development and deliver high-quality work on tight schedules.

Collaboration & Communication:

• Work directly with product owners to gather and refine requirements across products.
• Present technical solutions, capabilities, considerations, and features in business terms.
• Effectively communicate status, issues, and risks in a precise and timely manner.
• Lead meetings and discussions with cross-functional and non-technical teams.
• Identify opportunities for further enhancements and refinements to standards and processes.

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

Basic Qualifications:

• 12-16 years of relevant work experience with a Bachelor's degree in Computer Science or related field or with an advanced degree
• Minimum of 2+ years in an Engineering Management roles

Preferred Qualifications:

Leadership & Management:

• Track record of hiring and managing world-class software engineers.
• Experience in management roles, leading senior engineers or other managers, where "leading at scale" was required.
• Proven experience delivering highly scalable and available production systems with distributed teams.
• Strong business acumen with ability to grasp the big picture and explain to the team in simple terms.
• Strong organizational and prioritization skills along with outstanding written and verbal communication skills.
• Ability to manage multiple competing top priorities in a fast-paced environment.

Technical Background (Hands-on Experience Required):

• Strong technical background with several years of hands-on experience as a backend engineer before moving into leadership.
• Expertise with the Java platform (Java 8 or higher).
• Experience with Spring, Vert.x, Node.js, or similar frameworks.
• Experience building microservices, specifically with HTTP, REST, JSON, and XML.
• Experience with cloud-native DevOps: AWS, Kubernetes, Docker, CI/CD pipelines, infrastructure-as-code.
• Ability to dive into code, debug complex issues, and provide hands-on technical guidance when needed.

Generative AI Experience (Hands-on Experience Required):

• Demonstrated hands-on experience evaluating and integrating multiple Generative AI architectures (transformers, LLM ensembles, multimodal pipelines, GANs, VAEs) into engineering workflows and business contexts.
• Hands-on experience with prompt engineering and tooling orchestration for AI agents in enterprise environments, ensuring reproducibility and compliance.
• Proven track record of personally experimenting with and benchmarking multiple AI models in sandbox environments to select optimal solutions for production use.
• Experience applying NLP, multimodal AI, and AI-powered developer tools in production systems or development workflows.
• Demonstrated ability to leverage AI coding assistants and GenAI tools for accelerating software development, code reviews, and technical documentation.

Domain & Process Experience:

• Experience building a scalable, high-volume platform and collaboratively setting architectural direction with senior engineers.
• Experience in agile product-centric environments with rapid iteration cycles.
• Solid experience working in an agile development environment.
• Experience from working with customer-facing products where operational excellence and high uptime is a requirement.
• Experience building a business-oriented area and a learning organization.

Nice-to-have:

• Financial API integration experience or Open Banking domain knowledge.

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.