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Lead Software Engineer (15+ years' experience - Java, Spring Boot, DevOps, GenAI)

Visa

Lead Software Engineer (15+ years' experience - Java, Spring Boot, DevOps, GenAI)

Visa

Bangalore, India

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Comprehensive health, dental, and vision insurance

Generous paid time off and holidays

Competitive salary and equity package

401(k) matching

Learning

Healthcare

Equity

Required Skills

Node.js

Python

PostgreSQL

Company Description

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

A seasoned Lead Engineer with deep expertise in architecting high performance Spring Boot microservices and delivering enterprise grade mission critical platforms built for scalability, low latency, and rapid response times. With more than a decade of hands on leadership in Java based distributed systems, this engineer consistently builds reliable fault tolerant services that support massive throughput and complex business workflows across global environments.

Beyond traditional microservices engineering, this leader is at the forefront of modern AI transformation integrating Large Language Models GPT, Claude, Gemini and developing sophisticated agentic orchestration workflows using frameworks like Lang Chain, Lang Graph, and Autogen. By combining robust backend architecture with advanced AI capabilities, they enable intelligent autonomous systems that enhance automation, accelerate decision making, and power next generation enterprise applications.

Essential Functions

Engineering Leadership and Team Management:

  • Leading the software engineering team to develop, test, and document software programs.

  • Coaching and mentoring developers, setting coding standards, and leading design and code reviews.

  • Breaking down architected solutions into smaller achievable tasks and ensuring timely execution.

  • Participating in daily stand ups and improving productivity using development and quality metrics.

  • Working closely with US based teams, coordinating efforts and maintaining strong communication.

  • Partnering with senior engineers, ML engineers, and product leads to define and deliver the platform roadmap.
    Enforcing software best practices, standards, and processes across the SDLC.

  • Architecture, Design and Solution Development- Architecting and evolving an Agentic AI Platform supporting multi agent orchestration and integrations with enterprise microservices.

  • Designing robust secure scalable backend systems using Java and Spring Boot.

  • Analyzing business requirements and delivering scalable resilient engineering solutions.

  • Designing distributed fault tolerant microservices using Java, Spring Boot, Kafka, and MySQL.

  • Developing RESTful and gRPC APIs connecting backend services, agentic AI workflows, and front end applications React, GraphQL.

  • Working with product owners and managers to gather and refine requirements.

  • Producing highly scalable high performing applications.

  • AI, Gen

AI and Agentic System Integration:

  • Integrating enterprise grade LLMs GPT, Claude, Gemini into backend services.
  • Developing orchestration and agentic workflows using Lang Chain, Lang Graph, Autogen.
  • Implementing Model Context Protocol MCP frameworks for tool and API interoperability.
    Driving innovation in AI frameworks, architectures, and deployment models.

Development and Coding Responsibilities:

  • Developing microservices using Java, Spring Boot, Kafka, and MySQL.
  • Writing scalable maintainable code using strong OOP design, design patterns, multi threading, and concurrency.
  • Developing efficient database queries or query generating code and resolving bugs in existing systems.
  • Participating in testing through reviews, analysis, test witnessing, and software certification.
    Deploying and staging code in development environments.

Scalability, Reliability and DevOps:

  • Designing horizontally scalable fault tolerant distributed systems.
  • Implementing auto scaling, observability, and monitoring with Kubernetes, Docker, Prometheus and Grafana.
  • Supporting CICD pipelines Jenkins, Docker, Kubernetes, ArgoCD, GitHub Actions.
  • Driving best practices for performance, latency reduction, reliability, and cost optimization.
  • Working with security scanners Checkmarx and Qualys and remediating identified issues.

Innovation, Strategy and Continuous Improvement:

  • Exploring new architectures, frameworks, and deployment models to advance Agentic AI capabilities.
  • Driving automation, continuous improvement, and open source adoption across engineering.
  • Innovating beyond defined scope with strong ownership and technical leadership.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

  • 15+ years of relevant work experience with a Bachelor’s Degree or with an Advanced Degree.
  • 12 plus years backend development with Core Java and Spring Boot for RESTful microservices.
  • 10 plus years strong experience with Spring Framework, Spring Boot, JPA, JDBC, and build tools Maven.
  • 2 plus years of backend experience with Python FastAPI, Flask, or similar frameworks.
  • Strong experience with event-driven architectures and messaging using Kafka and or RabbitMQ.
  • Expertise in OOP design, design patterns, multi-threading, and concurrency.
  • Experience integrating LLMs GPT, Claude, Gemini and agentic AI workflows.
  • Experience in integrating with AI Agents built using MCP, Lang Chain, Lang Graph and Autogen.
  • Practical experience with Agile and Scrum methodologies 5 plus years.
  • Proficiency with CICD, containers, and orchestration technologies Docker, Kubernetes, Jenkins, ArgoCD.
  • Familiarity with SQL and NoSQL databases MySQL, DynamoDB, MongoDB.
  • Experience with security scanners Checkmarx, Qualys.
  • Experience as a solution architect.
  • Knowledge of AIML concepts.
  • Exposure to cloud platforms AWS, GCP, Azure.
  • Experience with front-end integration React, GraphQL.

Leadership Attributes

  • Go‑Getter Executes decisively, drives clarity, thrives in ambiguity.
  • Builder Hands-on technologist who delivers high-impact systems end to end.
  • Hustler Operates with urgency, persistence, and ownership.
  • Entrepreneurial Innovates beyond scope with a bias for action.
  • True North Leads with integrity, clarity, and long-term vision.

Additional Information

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.

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About Visa

Visa

A multinational financial services company that facilitates electronic payment systems throughout the world.

10,001+

Employees

Foster City

Headquarters

$500B

Valuation

Reviews

2.0

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.3

10%

Recommend to a Friend

Pros

Active recruiting for senior positions

Work authorization support for spouses

Opportunity to seek external roles

Cons

Toxic work environment

Below-market compensation offers

Poor management and leadership

Salary Ranges

23 data points

Principal/L7

Staff/L6

Principal/L7 · Chief Security Architect

1 reports

$282,838

total / year

Base

$217,568

Stock

-

Bonus

-

$282,838

$282,838

Interview Experience

4 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 75%

Negative 25%

Interview Process

1

Application Review

2

Online Assessment

3

Phone Screen

4

Technical Interview Rounds

5

Final Round Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design