Jobs / Software Development Engineer (SDE) / Visa Hiring Staff Software Engineer in Bengaluru | Hybrid
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Visa Hiring Staff Software Engineer in Bengaluru | Hybrid

location_on Bangalore | Hybrid
work 5+ years Experience
payments Competitive Salary (Not disclosed)
schedule Full Time

Role Overview

Job Overview

Visa is hiring a Staff Software Engineer for its Bengaluru team in a hybrid work environment. This is a senior-level software engineering opportunity for professionals who can independently design, develop, deploy, and support production systems while also influencing architecture and engineering practices across a team.

The role focuses on complex distributed systems and automation services that contribute to infrastructure reliability. The engineer will work across backend and frontend development, APIs, databases, CI/CD, containerized environments, observability, resiliency, and production operations. Beyond writing code, the position requires technical ownership, thoughtful design participation, mentoring, and the ability to turn unclear requirements into scalable and dependable solutions.


Key Responsibilities

  • Own software features and services across the complete lifecycle, including technical design, implementation, testing, deployment, maintenance, and production support.
  • Contribute to architecture decisions, API design, technology selection, security practices, scalability, and resilience.
  • Build high-volume, low-latency, highly available applications using modern full-stack development approaches.
  • Develop backend services and RESTful APIs using Python-based frameworks such as Flask or RESTPlus.
  • Integrate internal and third-party APIs to support enterprise application and platform requirements.
  • Build responsive user interfaces using modern frontend technologies such as Angular or React.
  • Write maintainable, secure, testable, and performance-conscious production software.
  • Contribute to automated delivery and CI/CD pipelines using Git, Jenkins, and Docker-based environments.
  • Participate in production support, incident investigation, debugging, and reliability improvements.
  • Identify performance bottlenecks, technical risks, and gaps in system resilience, then drive practical solutions.
  • Work with Product, Architecture, SRE, Security, and QA teams to translate business and platform needs into technical implementations.
  • Participate in design and code reviews and help establish consistent engineering standards.
  • Mentor junior engineers through technical guidance, pairing, reviews, and knowledge sharing.
  • Promote observability, automation, resiliency, and operational excellence across engineering work.
  • Explore the use of AI/ML, Generative AI, and AI-powered development tools to improve production software and engineering workflows.


Required Skills

Strong full-stack software engineering experience is central to this position. Candidates should have hands-on knowledge of Python, REST APIs, JSON, and Python web frameworks such as Flask or RESTPlus. Experience building backend services that integrate with other applications and third-party APIs is important.

On the frontend, candidates should be comfortable with JavaScript, HTML5, and at least one modern framework such as Angular or React. The role requires the ability to work across application layers rather than focusing exclusively on frontend or backend development.

A good understanding of software design patterns, data structures, object-oriented design, relational databases, and data security is expected. Candidates should also understand version control, CI/CD pipelines, Agile development practices, and the operational requirements of distributed systems.


Preferred Skills

Experience with highly available infrastructure-focused systems is valuable. Candidates who have worked with observability, resiliency engineering, automation, production troubleshooting, and distributed system reliability can bring strong alignment to the role.

Experience mentoring engineers or serving as a technical lead is preferred because the Staff Software Engineer is expected to influence engineering quality beyond individual feature delivery.

Exposure to AI/ML or Generative AI integration in production applications is also relevant. Experience using AI-powered tools for coding, debugging, testing, or other software development activities can further strengthen an application.


Education

Candidates may qualify with a Bachelor's degree and relevant professional experience, an advanced degree with relevant experience, a PhD, or substantial equivalent professional experience. The job description specifically allows candidates with 8+ years of relevant work experience as an alternative to the degree-based paths.


Experience

The role requires substantial professional software engineering experience. The primary qualification path calls for 5+ years of relevant experience with a Bachelor's degree, while candidates with an advanced degree can qualify with at least 2 years of relevant work experience. A separate path allows 8+ years of relevant work experience.

Applicants should demonstrate experience independently delivering production-quality software in enterprise environments. Experience with highly available systems, complex troubleshooting, technical leadership, mentoring, and distributed applications is particularly relevant.


Required Technologies

  • Python
  • Flask
  • RESTPlus
  • REST APIs
  • RESTful Services
  • JSON
  • JavaScript
  • HTML5
  • Angular
  • React
  • MySQL
  • Git
  • Jenkins
  • Docker
  • CI/CD
  • Relational Databases
  • AI/ML
  • Generative AI
  • Third-Party APIs
  • Distributed Systems
  • Observability
  • Resiliency Engineering
  • Automation


Soft Skills

The Staff Software Engineer role requires a high degree of independence and ownership. Strong communication is important because the engineer will work with product, architecture, SRE, security, QA, and other technology teams.

Candidates should be comfortable explaining technical decisions, participating in architecture and design discussions, reviewing code, and providing constructive feedback. Mentoring and knowledge sharing are also important parts of the position.

Strong analytical thinking, problem-solving, debugging ability, and an interest in improving engineering practices will help candidates succeed in a role that combines hands-on development with technical influence.


Benefits of Working in this Role

This opportunity provides exposure to enterprise-scale software engineering, distributed systems, infrastructure reliability, automation, and modern full-stack development. The role also offers the opportunity to influence engineering practices, mentor other engineers, and contribute to systems where scalability, availability, security, and performance are important.

The position also provides practical exposure to AI/ML and Generative AI integration into production software, along with AI-powered development tools that can support coding, testing, debugging, and engineering productivity.


Work Mode

This is a hybrid position in Bengaluru. Visa states that employees are required to work from the office at least 3 days per week, with the specific office-day expectations confirmed by the Hiring Manager.


Location

The role is based in Bengaluru, Karnataka, India. Candidates should be prepared for the stated hybrid working arrangement and confirm any team-specific office expectations during the hiring process.


Who Should Apply

This opportunity is suitable for experienced software engineers who can operate independently in complex enterprise environments and are comfortable taking ownership of production software. Full-stack engineers with strong Python backend experience and modern frontend skills should consider applying.

It is particularly relevant for professionals with experience in highly available systems, distributed applications, REST APIs, databases, CI/CD, Docker, observability, production debugging, and automation. Candidates who have acted as technical leads or mentors and have experience introducing AI/ML or Generative AI into production applications may be especially well aligned.


Career Growth

The Staff Software Engineer position can provide opportunities to broaden technical influence beyond individual implementation work. By contributing to architecture, engineering standards, reliability practices, mentoring, and cross-team technical decisions, engineers can strengthen their profile as senior technical contributors.

Working across full-stack development, distributed systems, cloud-oriented delivery practices, infrastructure reliability, and AI capabilities can also help expand expertise across several areas of modern enterprise software engineering.


Application Advice

Tailor your resume to demonstrate end-to-end ownership of production systems. Highlight examples where you designed, developed, tested, deployed, and supported software rather than simply listing technologies.

Make your Python, REST API, Flask or RESTPlus, JavaScript, Angular or React, SQL, Git, Jenkins, and Docker experience easy to identify. Include examples involving highly available systems, third-party API integrations, CI/CD, observability, resiliency, automation, or production incident resolution where applicable.

For a Staff-level application, emphasize technical leadership and influence. Describe architecture decisions, design reviews, mentoring, code reviews, cross-team collaboration, and improvements to engineering quality. If you have integrated AI/ML or Generative AI into production systems or use AI-powered engineering tools, include those experiences clearly.

Technical Ecosystem

Eligibility Criteria

school

Education

Bachelor's degree with 5+ years of relevant work experience, an advanced degree with at least 2 years of relevant work experience

work_history

Experience

5+ years

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