📍 Job Overview

Job Title: Staff Site Reliability Engineer - Cybersecurity AI
Company: Visa
Location: Bangalore, Karnātaka, India
Job Type: Full-time
Category: DevOps Engineer
Date Posted: June 24, 2025
Experience Level: 5-10 years
Remote Status: Hybrid

🚀 Role Summary

Key Responsibilities: Design, build, and maintain scalable, reliable, and secure infrastructure and services. Develop automation tools to reduce manual work and improve system efficiency. Collaborate with development teams to enhance deployment pipelines and ensure the safe delivery of features.
Key Technologies: Site Reliability Engineering, DevOps, Automation Tools, Programming, Linux/Unix Administration, Cloud Platforms, Container Orchestration, Distributed Systems, Monitoring Tools, Database Management, Version Control Systems, Encryption Technologies, Troubleshooting, Communication, Agile/Scrum, AI/ML Concepts, Cybersecurity

📝 Enhancement Note: This role focuses on ensuring the reliability and security of Visa's cybersecurity AI products, requiring a strong background in SRE, DevOps, and relevant technologies. The hybrid work arrangement allows for a balance between remote work and on-site collaboration.

💻 Primary Responsibilities

Infrastructure Management: Design, build, and maintain scalable, reliable, and secure infrastructure and services for Visa's cybersecurity AI products.
Automation & Efficiency: Develop and implement automation tools to reduce manual work, improve system efficiency, and streamline processes.
Monitoring & Alerting: Monitor application and infrastructure performance using observability tools, set up alerts, and create dashboards to ensure system health and reliability.
Incident Response: Participate in on-call rotations, respond to incidents, and perform root cause analyses to minimize downtime and ensure quick resolution.
Collaboration & Deployment: Collaborate with development teams to improve deployment pipelines (CI/CD), ensure safe and rapid feature delivery, and plan, review, and execute production releases.
Performance Optimization: Identify system bottlenecks, optimize for performance, and drive continuous improvement in system reliability and performance through conducted root cause analysis and post-incident reviews.
Security & Compliance: Contribute to security and compliance efforts, ensuring that systems and infrastructure adhere to relevant standards and regulations.

📝 Enhancement Note: This role requires strong problem-solving skills, excellent communication, and the ability to work effectively in a collaborative, cross-functional environment. Candidates should be comfortable working with the latest technologies and tools in cloud platforms, container orchestration, and monitoring.

🎓 Skills & Qualifications

Education: A Bachelor's Degree or relevant experience in Computer Science or a related field.

Experience: 5+ years of relevant work experience in Site Reliability Engineering, DevOps, or related roles.

Required Skills:

Proficiency in at least one programming language (e.g., Python, Go, Java)
Strong skills in Linux/Unix system administration and networking
Hands-on experience with SRE automation tools such as Terraform, Ansible, Jenkins, Kubernetes
Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker)
Experience with distributed systems and microservices
Experience with monitoring, logging, and alerting tools (Splunk, Prometheus, Grafana, ELK, etc.)
Familiarity with database management (SQL/NoSQL)
Familiarity with version control systems (e.g., Git, Bitbucket)
Experience with encryption technologies, key management, and SSL/TLS certificate management
Excellent troubleshooting and problem-solving abilities
Strong communication and collaboration skills
Exposure to Agile/Scrum methodologies
AWS Certified
Experience with AI/ML concepts and technologies
Cybersecurity domain knowledge
Experience with using latest GenAI tools

Preferred Skills:

6 or more years of work experience with a Bachelor's Degree (Computer Science) or 4 or more years of relevant experience with an Advanced Degree (e.g., Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
Experience with using AI/ML tools for cybersecurity applications

📝 Enhancement Note: Visa values candidates with a strong academic background and relevant work experience in Site Reliability Engineering, DevOps, or related fields. Candidates with experience in AI/ML and cybersecurity domains will have a competitive advantage.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your experience with SRE automation tools, cloud platforms, and container orchestration through relevant projects and case studies.
Showcase your problem-solving skills and ability to optimize system performance through real-world examples.
Highlight your experience with monitoring tools, logging, and alerting through live demos or screenshots.
Include examples of your collaboration with development teams and your contributions to improving deployment pipelines and ensuring safe feature delivery.

Technical Documentation:

Document your approach to system design, infrastructure management, and automation tools in your portfolio.
Include code snippets, diagrams, and explanations of your problem-solving methods and optimization techniques.
Showcase your understanding of AI/ML concepts and cybersecurity principles through relevant projects or case studies.

📝 Enhancement Note: Visa expects candidates to have a strong portfolio demonstrating their technical skills, problem-solving abilities, and experience with relevant tools and technologies. Candidates should focus on including real-world examples and live demos to showcase their expertise.

💵 Compensation & Benefits

Salary Range: INR 1,200,000 - 1,800,000 per annum (Estimated, based on industry standards for a Senior Site Reliability Engineer role in Bangalore, India)

Benefits:

Competitive health, dental, and vision insurance plans
Retirement savings plans with company match
Generous time-off policies, including vacation, sick leave, and holidays
Employee stock purchase plan
Tuition reimbursement and professional development opportunities
Employee discounts and perks

Working Hours: 40 hours per week, with a flexible hybrid work arrangement that combines remote work and on-site collaboration.

📝 Enhancement Note: Visa offers a competitive salary and benefits package for this role, with a salary range that reflects the experience and qualifications required for a Senior Site Reliability Engineer. The hybrid work arrangement provides flexibility for employees to balance their work and personal lives.

🎯 Team & Company Context

🏢 Company Culture

Industry: Visa operates in the financial services industry, focusing on payments and technology. This role is part of the Cybersecurity AI Center of Excellence, which develops and operates innovative analytics products to protect against cyber criminals and fraudsters.

Company Size: Visa is a large, global organization with over 25,000 employees worldwide. This role will be part of a cross-functional team working on cutting-edge cybersecurity AI products.

Founded: 1958, in San Francisco, California, USA

Team Structure:

The team consists of Site Reliability Engineers, DevOps Engineers, Cybersecurity Specialists, and Data Scientists working together to develop, operate, and improve cybersecurity AI products.
The team follows an Agile/Scrum methodology, with regular sprint planning, stand-ups, and retrospectives.
Collaboration and knowledge sharing are essential aspects of the team culture, with a focus on continuous learning and improvement.

Development Methodology:

The team follows an Agile/Scrum development process, with regular sprint planning, daily stand-ups, and sprint retrospectives.
Code reviews, testing, and quality assurance practices are integral to the development process.
Deployment strategies, CI/CD pipelines, and server management are essential aspects of the role, with a focus on ensuring the reliability and security of cybersecurity AI products.

Company Website: Visa

📝 Enhancement Note: Visa's company culture emphasizes innovation, collaboration, and continuous learning. The team structure and development methodology for this role reflect the company's commitment to driving success through cutting-edge technology and a focus on customer needs.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the Senior/Senior+ level, with a focus on designing, building, and maintaining scalable, reliable, and secure infrastructure and services for Visa's cybersecurity AI products. The role requires a strong background in SRE, DevOps, and relevant technologies, as well as experience with AI/ML concepts and cybersecurity domains.

Reporting Structure: The role reports directly to the Manager of the Cybersecurity AI Center of Excellence and works closely with other SREs, DevOps Engineers, Cybersecurity Specialists, and Data Scientists within the team.

Technical Impact: The role has a significant impact on the reliability, performance, and security of Visa's cybersecurity AI products, ensuring that they align with customers' business objectives and deliver real-world impact.

Growth Opportunities:

Technical Growth: Visa offers opportunities for technical growth through working on cutting-edge projects, mentorship programs, and professional development resources.
Leadership Growth: With experience and demonstrated success, there may be opportunities to take on more significant responsibilities, such as leading projects or mentoring junior team members.
Career Progression: Visa encourages career progression and offers opportunities for internal mobility, allowing employees to explore different roles and teams within the organization.

📝 Enhancement Note: Visa provides opportunities for technical and leadership growth, with a focus on driving success through cutting-edge technology and a commitment to continuous learning. The company encourages career progression and offers opportunities for internal mobility.

🌐 Work Environment

Office Type: Visa's Bangalore office is a modern, collaborative workspace designed to foster innovation and creativity. The hybrid work arrangement allows employees to balance remote work and on-site collaboration.

Office Location(s): Bangalore, India

Workspace Context:

Collaborative Environment: The office features open-plan workspaces, meeting rooms, and breakout areas designed to encourage collaboration and teamwork.
State-of-the-Art Technology: Employees have access to the latest hardware, software, and tools to ensure they can work efficiently and effectively.
Cross-Functional Interaction: The office is home to various teams, providing opportunities for cross-functional collaboration and knowledge sharing.

Work Schedule: The hybrid work arrangement combines remote work and on-site collaboration, with a focus on maintaining a healthy work-life balance.

📝 Enhancement Note: Visa's Bangalore office provides a modern, collaborative workspace designed to foster innovation and creativity. The hybrid work arrangement allows employees to balance remote work and on-site collaboration, with a focus on maintaining a healthy work-life balance.

📄 Application & Technical Interview Process

Interview Process:

Phone/Video Screen: A brief phone or video call to assess communication skills, cultural fit, and basic technical knowledge.
Technical Deep Dive: A comprehensive technical interview focused on SRE, DevOps, and relevant technologies. Candidates can expect questions on infrastructure management, automation tools, cloud platforms, and cybersecurity AI concepts.
Behavioral & Situational Questions: An in-depth discussion of the candidate's problem-solving skills, decision-making processes, and approach to teamwork and collaboration.
Final Interview: A meeting with the hiring manager or a panel of team members to assess the candidate's fit for the role and the team.

Portfolio Review Tips:

Highlight your experience with SRE automation tools, cloud platforms, and container orchestration through relevant projects and case studies.
Showcase your problem-solving skills and ability to optimize system performance through real-world examples.
Include examples of your collaboration with development teams and your contributions to improving deployment pipelines and ensuring safe feature delivery.
Demonstrate your understanding of AI/ML concepts and cybersecurity principles through relevant projects or case studies.

Technical Challenge Preparation:

Brush up on your knowledge of SRE, DevOps, and relevant technologies, with a focus on cloud platforms, container orchestration, and monitoring tools.
Practice problem-solving and coding challenges related to infrastructure management, automation tools, and cybersecurity AI concepts.
Prepare for behavioral and situational questions by reflecting on your past experiences and developing a structured approach to problem-solving and decision-making.

ATS Keywords: (Organized by category)

Programming Languages: Python, Go, Java, Bash, Shell, Perl
Web Frameworks: N/A (Focus on backend and infrastructure technologies)
Server Technologies: Linux, Unix, Kubernetes, Docker, AWS, GCP, Azure
Databases: SQL, NoSQL, MongoDB, Redis, Cassandra
Tools: Terraform, Ansible, Jenkins, Splunk, Prometheus, Grafana, ELK, Git, Bitbucket, AWS Certified
Methodologies: Agile, Scrum, DevOps, SRE, CI/CD
Soft Skills: Communication, Collaboration, Problem-Solving, Troubleshooting, Adaptability, Learning Agility
Industry Terms: Site Reliability Engineering, DevOps, Infrastructure as Code, Microservices, Distributed Systems, Cybersecurity, AI/ML

📝 Enhancement Note: Visa's interview process focuses on assessing candidates' technical skills, problem-solving abilities, and cultural fit. Candidates should be prepared to discuss their experience with SRE, DevOps, and relevant technologies, as well as their approach to collaboration and teamwork.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: N/A (Focus on backend and infrastructure technologies)

Backend & Server Technologies:

Programming Languages: Python, Go, Java, Bash, Shell, Perl
Server Platforms: Linux, Unix, Kubernetes, Docker, AWS, GCP, Azure
Databases: SQL, NoSQL, MongoDB, Redis, Cassandra
Infrastructure Tools: Terraform, Ansible, Jenkins, Splunk, Prometheus, Grafana, ELK, Git, Bitbucket, AWS Certified

Development & DevOps Tools:

Version Control Systems: Git, Bitbucket
CI/CD Pipelines: Jenkins, GitLab CI/CD
Monitoring Tools: Splunk, Prometheus, Grafana, ELK
Container Orchestration: Kubernetes, Docker
Cloud Platforms: AWS, GCP, Azure

📝 Enhancement Note: Visa's technology stack focuses on backend and infrastructure technologies, with a strong emphasis on cloud platforms, container orchestration, and monitoring tools. Candidates should have experience with relevant technologies and be comfortable working in a dynamic, evolving environment.

👥 Team Culture & Values

Web Development Values:

Innovation: Visa values innovation and encourages team members to explore new technologies and approaches to drive success.
Collaboration: The company emphasizes cross-functional collaboration and knowledge sharing to ensure that all team members can contribute to the development and improvement of cybersecurity AI products.
Customer Focus: Visa is committed to understanding and addressing the needs of its customers, ensuring that its products and services align with their business objectives and deliver real-world impact.
Quality & Reliability: The company is dedicated to maintaining the highest standards of quality and reliability in its products and services, ensuring that they are secure, scalable, and performant.

Collaboration Style:

Cross-Functional Integration: Visa encourages collaboration between different teams, including developers, designers, and stakeholders, to ensure that all perspectives are considered in the development and improvement of cybersecurity AI products.
Code Review Culture: The company emphasizes code reviews and peer programming practices to ensure that all team members have the opportunity to contribute to the development and improvement of the codebase.
Knowledge Sharing: Visa encourages team members to share their knowledge and expertise with others, fostering a culture of continuous learning and improvement.

📝 Enhancement Note: Visa's team culture emphasizes innovation, collaboration, and customer focus, with a strong commitment to quality and reliability. The company encourages cross-functional collaboration and knowledge sharing, fostering a culture of continuous learning and improvement.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Scalability & Performance: Visa's cybersecurity AI products must be able to scale to meet the demands of a global customer base, requiring candidates to have experience with distributed systems, microservices, and performance optimization techniques.
Security & Compliance: Candidates must be familiar with encryption technologies, key management, and SSL/TLS certificate management, as well as relevant security standards and regulations.
AI/ML Integration: The role requires candidates to have experience with AI/ML concepts and technologies, as well as the ability to integrate AI/ML models into cybersecurity products and services.
Incident Response: Candidates must be comfortable working in a dynamic, on-call environment, with a focus on minimizing downtime and ensuring quick resolution of incidents.

Learning & Development Opportunities:

Technical Skill Development: Visa offers opportunities for technical skill development through working on cutting-edge projects, mentorship programs, and professional development resources.
Career Progression: The company encourages career progression and offers opportunities for internal mobility, allowing employees to explore different roles and teams within the organization.
Leadership Development: With experience and demonstrated success, there may be opportunities to take on more significant responsibilities, such as leading projects or mentoring junior team members.

📝 Enhancement Note: Visa provides opportunities for technical and leadership growth, with a focus on driving success through cutting-edge technology and a commitment to continuous learning. The company encourages career progression and offers opportunities for internal mobility.

💡 Interview Preparation

Technical Questions:

SRE & DevOps Fundamentals: Questions related to infrastructure management, automation tools, cloud platforms, and container orchestration.
AI/ML Concepts: Questions related to AI/ML concepts and technologies, as well as their integration into cybersecurity products and services.
Cybersecurity Principles: Questions related to cybersecurity principles, standards, and best practices.
Problem-Solving & Troubleshooting: Questions designed to assess the candidate's ability to identify, diagnose, and resolve technical issues.

Company & Culture Questions:

Visa's Mission & Values: Questions designed to assess the candidate's understanding of Visa's mission, values, and commitment to driving success through innovation and collaboration.
Team Dynamics: Questions related to the candidate's approach to teamwork, collaboration, and communication in a dynamic, cross-functional environment.
Adaptability & Learning Agility: Questions designed to assess the candidate's ability to adapt to new technologies, tools, and processes, as well as their commitment to continuous learning and improvement.

Portfolio Presentation Strategy:

Project Selection: Select projects that demonstrate your experience with SRE, DevOps, and relevant technologies, as well as your ability to optimize system performance and ensure the reliability and security of cybersecurity AI products.
Storytelling: Use storytelling techniques to engage the interview panel and highlight the impact of your work on the projects you've chosen to showcase.
Technical Deep Dive: Be prepared to discuss the technical details of your projects, including the tools, technologies, and methodologies you've used to drive success.

📝 Enhancement Note: Visa's interview process focuses on assessing candidates' technical skills, problem-solving abilities, and cultural fit. Candidates should be prepared to discuss their experience with SRE, DevOps, and relevant technologies, as well as their approach to collaboration and teamwork.

📌 Application Steps

To apply for this Staff Site Reliability Engineer - Cybersecurity AI position at Visa:

Review the Job Description: Thoroughly read and understand the job description, highlighting the key responsibilities, required skills, and qualifications.
Tailor Your Resume: Customize your resume to emphasize your relevant experience, skills, and accomplishments, using the keywords and phrases highlighted in the job description.
Prepare Your Portfolio: Select projects that demonstrate your experience with SRE, DevOps, and relevant technologies, showcasing your ability to optimize system performance and ensure the reliability and security of cybersecurity AI products.
Practice Technical Challenges: Brush up on your knowledge of SRE, DevOps, and relevant technologies, practicing problem-solving and coding challenges related to infrastructure management, automation tools, and cybersecurity AI concepts.
Research Visa: Familiarize yourself with Visa's mission, values, and commitment to driving success through innovation and collaboration. Understand the company's products, services, and industry position to demonstrate your enthusiasm and alignment with the organization's goals.
Apply: Submit your application through the application link provided, ensuring that all required fields are completed accurately and thoroughly.

📝 Enhancement Note: Visa's application process requires candidates to demonstrate their technical skills, problem-solving abilities, and cultural fit. Candidates should take the time to tailor their resumes, prepare their portfolios, and practice technical challenges to ensure they make a strong impression during the application and interview process.

Staff Site Reliability Engineer - Cybersecurity AI