Sr Site Reliability Engineer - Middleware, DevOps & Cloud

Job Description The Opportunity

We are seeking a skilled and innovative Sr. Site Reliability Engineer to join our team and help solve complex challenges on a global scale. The Middleware Product Reliability Engineering (PRE) group is dedicated to ensuring our products and services operate with Always On availability, exceptional reliability, and outstanding performance. This role is ideal for software engineers with AI, ML backgrounds who want to apply their skills to large-scale reliability engineering. You'll develop intelligent automation systems and integrate machine learning models into our middleware infrastructure, working at the intersection of software development, artificial intelligence, and site reliability. As a Visa Sr. Site Reliability Engineer, you will be an integral part of a cross-functional team inventing, designing, building, testing, and operating software products that reach a truly global customer base. While building and supporting components of cutting-edge payment technology, you will see your efforts shaping the digital future of monetary transactions.

What You'll Do

• Support Middleware software and infrastructure components for all lines of business at Visa.
• Design and develop software solutions for middleware reliability using AI ML techniques.
• Develop and improve Middleware monitoring and observability systems.
• Build intelligent automation systems leveraging machine learning models.
• Develop and maintain automation tools and integrations into existing AI LLM frameworks to handle application support tasks.
• Collaborate with data science teams to integrate AI-driven insights into reliability engineering.
• Engage in production issue troubleshooting, provide immediate service restoration, follow up on root cause analysis, and ensure permanent fixes are implemented.
• Coordinate and execute Middleware releases and production deployments.
• Optimize performance and tuning for Middleware applications.

The Skills You Bring

Collaboration and Communication

You possess strong interpersonal skills and excel at both written and verbal communication. You thrive in team environments and collaborate effectively with globally dispersed virtual teams.

Learning and Growth

You are adaptable and eager to learn new technologies and tools. You enjoy sharing knowledge with others and contributing to collective team growth.

Innovation and Problem-Solving

You are comfortable exploring beyond traditional solutions and embrace new technologies and innovative approaches. You excel at analytical thinking and creative problem-solving.

Decision-Making and Prioritization

You effectively prioritize, multitask, and deliver quality work on time. You can make informed decisions on execution timelines and maintain focus in high-pressure situations.

Professional Development

You take initiative in your work and demonstrate a strong sense of ownership. You are motivated to learn new technologies and business concepts to facilitate both personal and organizational growth.

Professional Ethics

You demonstrate strong business ethics, self-discipline, and trustworthiness, particularly when handling sensitive and confidential data in live production environments.

Technical Troubleshooting

You possess strong analytical and problem-solving skills with the ability to swiftly identify and resolve complex technical issues. You excel at debugging, performance tuning, and root cause analysis. You are proactive in anticipating potential problems and implementing preventative measures to minimize disruptions.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications Desired Qualifications:

• 3-7 yrs of DevOps experience with a bachelor's/master's degree in computers or related discipline.
• Experience supporting Middleware technologies (such as Tomcat, Apache, Springboot, MKS, SQS, JBoss, IBM MQ, IBM DataPower, Hazelcast, Flink) - we value depth over breadth
• Software development experience with proficiency in one or more programming languages (Python, Java, Go)
• Experience with DevOps practices and tools (Jenkins, Terraform, Ansible, Docker, Kubernetes)
• Familiarity with cloud platforms (AWS, GCP, or Azure) and operating models
• Understanding of monitoring and observability solutions (such as Prometheus, Splunk)
• Good to have AI ML engineering experience or coursework
• Experience integrating AI LLM frameworks into production systems
• Contributions to open-source projects