Visa Hiring Senior Manager Software Engineering in Bengaluru
Role Overview
Job Overview
Visa is hiring a Senior Manager, Software Engineering for its Bengaluru technology organization. This is a full-time hybrid leadership opportunity for an experienced engineering professional with 12 to 15 years of experience and at least 2 years of management experience. The role focuses on leading multiple development teams, modernizing enterprise platforms, and delivering scalable technology solutions within Visa's Value Added Services organization.
The position combines engineering leadership, strategic planning, technical innovation, product modernization, and people management. The successful candidate will guide teams working on complex distributed applications and integrations while promoting engineering excellence, security, reliability, scalability, and operational discipline. Generative AI and Machine Learning experience is essential, while payments industry experience is strongly desirable.
Key Responsibilities
- Provide technical and organizational leadership across multiple software development teams.
- Define and execute a strategic technology direction for the Value Added Services platform in line with business objectives and market opportunities.
- Lead modernization programs that improve platform scalability, reliability, maintainability, and long-term business value.
- Guide the design and delivery of innovative solutions involving Generative AI, Machine Learning, APIs, and modern integration approaches.
- Champion API design and integration capabilities connecting Value Added Services applications, platforms, and solutions.
- Own software delivery across the development lifecycle, from planning and design through implementation, release, maintenance, and operational support.
- Establish engineering practices covering quality, security, performance, resilience, scalability, and reliable delivery.
- Drive automation across development, testing, and deployment activities to improve productivity and delivery speed.
- Manage technical debt, development costs, maintenance priorities, and enhancement roadmaps across multiple services.
- Ensure effective incident, change, and problem management for the platforms under the team's responsibility.
- Recruit, retain, mentor, and develop high-performing engineering teams across diverse and global environments.
- Build an accountable culture that encourages collaboration, innovation, continuous learning, and professional growth.
- Work with product, operations, infrastructure, cybersecurity, support, and other technical teams to deliver complete solutions.
- Engage with clients and senior stakeholders to understand business needs, gather feedback, and communicate technology outcomes.
- Oversee planning, budgeting, resource management, delivery tracking, quality assurance, partner relationships, and performance metrics.
- Ensure engineering activities follow applicable regulatory, security, privacy, and governance expectations.
- Continuously evaluate technology stacks and engineering processes to identify opportunities for modernization and improvement.
Required Skills
The role requires strong experience leading software engineering teams and delivering large-scale, highly available, distributed enterprise applications. Candidates should have deep knowledge of software development practices and Agile methodologies, along with the ability to establish technical goals, define measurable success criteria, and track execution.
Strong programming experience in at least one major development language is required. Relevant technologies identified in the source include Java, Python, C#, Golang, NodeJS, and C++. Experience with modern service development and web applications is important, along with the ability to balance engineering quality, scalability, reliability, and business priorities.
Candidates should understand microservices and experience building services using HTTP, REST, JSON, and XML. Experience integrating internally developed applications with third-party commercial solutions is also valuable.
Generative AI and Machine Learning experience is an essential part of the role. Candidates should be comfortable evaluating emerging technologies and applying them to meaningful engineering and business opportunities.
Preferred Skills
Experience in payment technology is highly desirable. Additional value comes from exposure to Angular, React, Kubernetes, Docker, and other modern engineering technologies. Experience working across Product, Test, DevOps, and Agile/Scrum teams is also important.
The ideal leader can operate in complex organizational environments, manage competing priorities, remove technical or organizational roadblocks, and coordinate multiple product and engineering teams toward shared outcomes.
Education
A Bachelor's degree in Computer Science or a related engineering field is required according to the source. An advanced degree such as a Master's or PhD is preferred.
Experience
The role requires 12+ years of relevant professional experience. The job title specifies a 12 to 15 year experience range and indicates that at least 2 years of management experience is expected. Candidates should have demonstrated experience managing software development teams and delivering enterprise-scale distributed applications.
Experience in technical leadership, innovation, platform modernization, stakeholder management, and engineering strategy is important. Candidates should also be comfortable leading globally distributed teams and working on initiatives involving multiple internal applications and external solutions.
Required Technologies
- Java
- Python
- NodeJS
- C#
- C++
- Golang
- Generative AI
- Machine Learning
- Microservices
- HTTP
- REST
- JSON
- XML
- Angular
- React
- Kubernetes
- Docker
- APIs
- Agile
- Scrum
- DevOps
Soft Skills
Exceptional communication, presentation, facilitation, and stakeholder management skills are central to this role. The senior manager must be able to explain complex technical and business topics clearly to engineers, product leaders, clients, and other stakeholders.
The role also requires strong organizational ability, sound judgment, and a growth mindset. The successful candidate should be comfortable challenging established approaches, experimenting with new technologies, handling competing priorities, and creating an environment where teams can learn and improve.
Leadership capability is equally important. Candidates should be able to build purpose-driven teams, coach engineers, develop talent, encourage accountability, and remove barriers that affect delivery.
Benefits of Working in this Role
This role provides an opportunity to lead technology transformation at enterprise scale within a major payments technology organization. The position combines people leadership with hands-on technology strategy, platform modernization, Generative AI, Machine Learning, distributed systems, and global stakeholder engagement. It also provides exposure to complex business and technology initiatives where engineering decisions can influence large-scale products and services.
Work Mode
This is a hybrid position. The source states that hybrid employees alternate between remote and office work, with Visa requiring at least 3 days in the office. The specific office days are confirmed by the hiring manager.
Location
The position is based in Bengaluru, Karnataka, India, a key technology hub for Visa.
Who Should Apply
This opportunity is suitable for senior engineering leaders with 12 or more years of relevant experience and demonstrated software development management experience. Candidates should have a strong record of leading engineering teams, delivering distributed enterprise applications, and driving modernization or innovation programs.
Professionals with experience in Generative AI, Machine Learning, Java, Python, Golang, C#, C++, microservices, APIs, cloud-native technologies, or modern DevOps practices should consider this role. Payment industry experience is particularly valuable.
Career Growth
The position offers significant scope for growth in technology strategy, engineering leadership, platform modernization, innovation, and global team management. It is suited to leaders who want to influence architecture and engineering direction while developing high-performing teams and supporting business transformation.
Application Advice
Emphasize your total years of software engineering experience and clearly show your management and leadership experience. Highlight the size and scope of teams you have led, the complexity of systems delivered, and examples of modernization, platform transformation, or innovation initiatives.
Show practical experience with Generative AI and Machine Learning, along with relevant programming languages and distributed application technologies. Include examples of microservices, API integration, enterprise applications, Agile delivery, DevOps collaboration, security, reliability, and scalability.
If you have payment industry experience, clearly mention it. Also describe your experience working with product, engineering, cybersecurity, infrastructure, operations, clients, and other stakeholders. Focus your resume on measurable outcomes, leadership impact, and the ability to turn strategic technology goals into successful delivery.
Technical Ecosystem
Eligibility Criteria
Education
Bachelor's degree in Computer Science or a related engineering field. An advanced degree such as a Master's or PhD is preferred.
Experience
12 - 15 years
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