Sr. Site Reliability Engineer - PRE (BigData, Core java, Spark, Kafka, Linux, SRE, Net, Windows sever, Containers, MySQL)

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About the Role: Sr. Site Reliability Engineer – Loyalty & Benefits PRE

As a Sr. Site Reliability Engineer specializing in Loyalty & Benefits Product Reliability Engineering (PRE), you will be part of a diverse team spread across multiple geographies, supporting critical financial applications for clients worldwide. You will work with cutting-edge technologies like Big Data, Hive, Spark, Scala, Java, Python, Kafka, and more. This role offers a unique learning opportunity in GenAI and LLM.

Key Responsibilities:

• Maintain stable and robust production systems for Visa's applications and services.
• Identify and resolve second-level problems, manage security, analyze data, and respond to client queries.
• Support high-availability continuous flow streaming services, batch services, and online systems with low turnaround times.
• Collaborate with various service partners to ensure seamless operations.
• Work with Client Solution, Sales teams, and business offices to onboard new clients and resolve issues.
• Conduct proactive analysis to identify root causes and implement long-term corrective measures.
• Participate in knowledge transfer sessions and train the team on new technologies.
• Create and manage release, maintenance, and security patching calendars.
• Partner with Product Development teams to provide operational and resiliency requirements.
• Monitor processing, ensure timely delivery and availability, and support data analysis and reporting.
• Implement audits and alerts to facilitate maintenance activities and identify improvement opportunities.
• Manage client, data, and tech stack migrations effectively.

Essential Skills and Experience:

• Collaboration: Strong interpersonal skills and ability to work effectively as part of a global virtual team.
• Learning: Quick to learn new technologies and tools, and able to share knowledge with the team.
• Innovation: Comfort in exploring new solutions and technologies, and pushing traditional boundaries.
• Decisiveness: Ability to prioritize, multitask, and deliver quality results on time, even under pressure.
• Growth: Self-motivated, ownership mindset, eager to learn and contribute to personal and company growth.
• Ethics: Strong business ethics, self-discipline, and trustworthiness to handle sensitive data.

Position Details:

This is a hybrid position. You can alternate time between remote and office locations. Employees are expected to work from the office 2-3 days a week as directed by leadership, with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications:

Basic:

• 2+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience.

Preferred:

• Master’s degree in computer science or related field.
• Knowledge of scripting and/or query languages.
• Proficiency in Unix/Linux OS; Windows Server knowledge is a bonus.
• Understanding of Big Data technologies (e.g., Hadoop, Kafka, Spark).
• Experience with containerization technologies like Kubernetes.
• Curiosity and interest in GenAI and LLMs.
• Willingness to work flexible hours as needed.
• Ability to support and provide solutions to real-time or near-real-time applications.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin