Site Reliability Engineer Senior Consultant

Job Description

Job Description and Responsibilities

Visa’s Technology Organization is a dynamic community of problem solvers and innovators dedicated to redefining the future of commerce. We manage one of the world’s most advanced processing networks, handling over 65,000 secure transactions per second across 80 million merchants, 15,000 financial institutions, and billions of individuals. By joining us, you will engage with complex distributed systems and address large-scale challenges in new payment flows, business and data solutions, cybersecurity, and B2C platforms.

The Opportunity:

As a Site Reliability Engineer – Sr. Consultant, you should bring a well-rounded skill set that includes expertise in Site Reliability Engineering (SRE) principles and practices, and security protocols. You should have experience with cloud migration, automation tools, and applying Generative AI to improve operational efficiencies. Proficiency in containerization technologies (Docker, Kubernetes), observability tools, and distributed caching systems is essential.

As a SME in Visa’s Operations and Infrastructure division, you will join our Global PRE team to design, enhance, and build a highly available, secure, scalable, and resilient infrastructure in an agile environment. You will collaborate with supportive and challenging colleagues daily. You will take lead roles on projects to ensure the reliability and performance of our services, platforms, RESTful APIs, container-based distributed systems, and cloud services.

Key skills for this role include team mentorship, and the ability to foster a culture of collaboration and continuous improvement. Strong communication skills are vital for effective collaboration with cross-functional teams. The Site Reliability Engineer – Sr. Consultant should possess problem-solving abilities, drive innovation, and prioritize tasks efficiently. Experience in fast-paced 24x7 environments, demonstrating adaptability and confident decision-making to address the evolving needs of the team and the organization, is crucial. Experience in swiftly resolving live production issues is essential to maintain system reliability and performance.

This is a hybrid position, allowing employees to alternate between remote and office work. Hybrid employees are expected to work from the office 2-3 days a week, as determined by leadership and site requirements, generally spending 50% or more of their time in the office based on business needs.

Responsibilities:

• Ensure the security and safety of application services and platforms. Spearhead the enhancement of operational practices focusing on efficiency, security, and excellence.
• Maintain zero downtime by swiftly addressing any issues to ensure environments are always operational. Conduct rapid root cause analysis and implement remediation in production environments after thorough testing.
• Oversee all activities within the environment, including deploying new code.
• Foster an inclusive, innovative, and collaborative team culture.
• Build strong partnerships with key stakeholders, including product management, engineering, design, and operations.
• Communicate effectively with both technical and business partners to create frameworks for discussing complex topics.
• Regularly analyze the environment and promote the adoption of automation and Generative AI to stay competitive.
• Lead cloud infrastructure and GenAI adoption and migration, ensuring a seamless transition with minimal downtime.
• Run problem bridges by collaborating with different functional and technical teams, escalating issues as needed for timely resolution.
• Proactively sharing important context and information with relevant stakeholders.

By fulfilling these responsibilities, the Site Reliability Engineer – Sr. Consultant will ensure the PRE team delivers a robust, secure, and efficient infrastructure that supports application services and platforms, meeting the organization's evolving needs.

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

Qualifications

Basic Qualifications

• 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD

Preferred Qualifications

• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
• Engineering degree in IT or Computer Science
• Having 8+ years of IT experience with expertise in DevOps, Build and release Engineering, Cloud Infrastructure and Automation, Tech support.
• 8+ years of experience with JAVA, J2EE applications, and a deep understanding of Web Services technologies: REST & SOAP.
• 4+ years of experience managing and troubleshooting applications on Containers (Docker) and Cloud (AWS, GCP, Azure).
• Knowledge of Generative AI capabilities and use cases to enable such capabilities in the environment.
• Ability to work as a team player
• Good written and communication skills
• Punctual to office time and work
• Great with problem solving and troubleshooting
• Ability to effectively prioritize and coordinate
• Ability to learn fast and implement the latest technology trends in the industry, particularly GenAI
• Good understanding of CI/CD technologies.
• Core Skills on Dockers, DevOps, Linux.
• DevOps experience with Jenkins, Ansible, Docker, Kubernetes.
• Good experience in java-based web applications
• Implementing CI CD process
• Expertise in Trouble shouting on java applications in Tomcat services and Web application in Apache.
• Good Exposure on Virtualization and Containers (Docker).
• Ability to build deployment, build scripts and automated solutions using scripting languages such as Shell scripting (Bash) / Java Script / Python / Other
• Worked with Docker and created multiple containers and images and had experience on writing the Docker file
• Created the deployments, services, and ingress flows for the application setup in the Kubernetes cluster.
• Participated in release level discussions and gone through the total SDLC and Agile methodology
• Support On-Call for all DevOps activities.
• Able to lead SWAT bridge as technical expert.
• Exceptional analytical and problem-solving skills, along with strong oral and written communication abilities. Proven proficiency in troubleshooting, root-cause analysis, application design, and implementing major components for large projects.
• Experience building tools to automate production support activities, enhancing the efficiency and productivity of service desk and operations groups.
• Prior experience working in 24x7 environments.