Software Engineer

Visa · Bengaluru · 3+ yrs experience · Posted 2026-06-10

Tech stack: Docker, Java, Kubernetes, Python

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About the role

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.
Responsibilities:
- As a Software
- Engineer (AI Cybersecurity)
- , you will design, develop, and enhance secure, scalable software solutions with a strong focus on
- AI-driven cybersecurity platforms
- This role combines strong
- software engineering fundamentals (Java & Python)
- with growing expertise in
- Machine Learning, and Generative AI technologies
- to build next-generation intelligent security solutions.
- You will leverage
- GenAI tools and coding co-pilots
- to improve development productivity while ensuring secure, high-quality, and efficient engineering delivery.
- Develop, modify, and review
- high-quality, secure, and scalable code in Java and Python.
- Build and integrate applications using
- APIs, microservices, messaging systems, and databases.
- secure coding practices
- , including input validation, authentication, authorization, and secrets management.
- Debug production issues, perform root cause analysis, and optimize system performance.
- unit, integration, and end-to-end tests
- with strong focus on automation.
- Build and maintain
- CI/CD pipelines
- , ensuring reliable and secure deployments.
- Deploy and manage applications using
- containerization and cloud-native technologies.
- Monitor and troubleshoot systems in production using observability tools.
- Effectively use
- GenAI tools and coding co-pilots
- to accelerate development and improve code quality.
- Collaborate with cross-functional teams to translate
- business and cybersecurity requirements into engineering solutions.
- Maintain documentation and ensure compliance with
- security and regulatory standards.
Qualifications:
- Bachelor’s degree OR 3+ years of relevant work experience.
- Preferred
- Bachelor's degree, OR 3+ years of relevant work experience
- 2 or more years of work experience.
- Knowledge of Data Science and Machine Learning concepts.
- Strong programming experience in Java and Python.
- Experience developing, debugging, and testing applications.
- Experience building web/backend systems or microservices.
- Understanding of APIs, databases, and distributed systems.
- Experience with CI/CD pipelines and deployment workflows.
- Knowledge of secure coding practices and application security fundamentals.
- Understanding of GenAI frameworks and technologies (LLMs, prompt engineering, RAG, agents, etc.)
- Hands-on experience using GenAI tools and coding co-pilots in development workflows.
- Experience building or integrating AI/ML-enabled systems or data pipelines.
- Familiarity with cloud platforms and containerisation (Docker, Kubernetes)
- Exposure to cybersecurity, application security, or vulnerability management.
- Strong problem-solving and analytical skills.

Qualifications

- Bachelor’s degree OR 3+ years of relevant work experience.
- Bachelor's degree, OR 3+ years of relevant work experience
- 2 or more years of work experience.
- Knowledge of Data Science and Machine Learning concepts.
- Strong programming experience in Java and Python.
- Experience developing, debugging, and testing applications.
- Experience building web/backend systems or microservices.
- Understanding of APIs, databases, and distributed systems.
- Experience with CI/CD pipelines and deployment workflows.
- Knowledge of secure coding practices and application security fundamentals.
- Understanding of GenAI frameworks and technologies (LLMs, prompt engineering, RAG, agents, etc.)
- Hands-on experience using GenAI tools and coding co-pilots in development workflows.
- Experience building or integrating AI/ML-enabled systems or data pipelines.
- Familiarity with cloud platforms and containerisation (Docker, Kubernetes)
- Exposure to cybersecurity, application security, or vulnerability management.
- Strong problem-solving and analytical skills.

Responsibilities

- As a Software Engineer (AI Cybersecurity) you will
- design, develop, and enhance secure, scalable software solutions with a strong focus on AI-driven cybersecurity platforms
- This role combines strong software engineering fundamentals (Java & Python)
- with growing expertise in Machine Learning, and Generative AI technologies to build next-generation intelligent security solutions.
- You will leverage GenAI tools and coding co-pilots to improve development productivity while ensuring secure, high-quality, and efficient engineering delivery.
- Develop, modify, and review high-quality, secure, and scalable code in Java and Python.
- Build and integrate applications using APIs, microservices, messaging systems, and databases.
- secure coding practices including input validation, authentication, authorization, and secrets management.
- Debug production issues, perform root cause analysis, and optimize system performance.
- unit, integration, and end-to-end tests with strong focus on automation.
- Build and maintain CI/CD pipelines ensuring reliable and secure deployments.
- Deploy and manage applications using containerization and cloud-native technologies.
- Monitor and troubleshoot systems in production using observability tools.
- Effectively use GenAI tools and coding co-pilots to accelerate development and improve code quality.
- Collaborate with cross-functional teams to translate business and cybersecurity requirements into engineering solutions.
- Maintain documentation and ensure compliance with security and regulatory standards.

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