Site Reliability Engineer

Visa•Austin, TX

4h•Hybrid

About The Position

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. We are seeking a Site Reliability Engineer to work in the Product Reliability Engineering function within Operations & Infrastructure. This individual will: Perform day-to-day site reliability engineering functions including maintenance and incident resolution for Visa's applications, products, and services. Perform ongoing/proactive analysis of applications to detect potential problems and actively engage & facilitate the discussion to find the best possible solution. Work under direct supervision to ensure on-time delivery of projects, and production support plans for upgrades, enhancements, and deployments. Work closely with service partners such as product development, engineering teams to seamlessly implement the innovative solutions to improve the reliability, scalability, and efficiency. Assist in automating the routine tasks and processes to improve overall efficiency and reduce human errors. Actively participate in troubleshooting activities and SWAT calls and drive investigation towards swift resolution. Build comprehensive and robust documentation repositories that can facilitate knowledge transfer among PRE and Global Operations peers. Assist the team with implementing GenAI and machine learning trends to continuously optimize the application reliability and efficiency. Participate in on-call roster to support business including off-hours. Self-motivated, and have excellent interpersonal and communication skills. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Requirements

Bachelor's Degree, OR 3+ years of relevant work experience

Nice To Haves

2 or more years of work experience
Working knowledge of one or more programming languages such as Python, Java, .NET, C#, PowerShell, Bash scripting.
Understanding of Linux/Unix systems
Understanding of networking concepts, protocols, and architecture.
Proven track record of automating complex tasks and processes to improve efficiency and reliability
Basic understanding of AI frameworks and libraries.
Cloud technologies such as AWS, Azure, etc.
Database management systems such as MSSQL, MongoDB, etc.
Middleware technologies such as Tomcat, Apache, etc.
Containerization technologies such as Docker, Kubernetes, etc.
Infrastructure-as-code tools such as Terraform, Ansible, etc.
Monitoring tools such as Splunk or other

Responsibilities

Perform day-to-day site reliability engineering functions including maintenance and incident resolution for Visa's applications, products, and services.
Perform ongoing/proactive analysis of applications to detect potential problems and actively engage & facilitate the discussion to find the best possible solution.
Work under direct supervision to ensure on-time delivery of projects, and production support plans for upgrades, enhancements, and deployments.
Work closely with service partners such as product development, engineering teams to seamlessly implement the innovative solutions to improve the reliability, scalability, and efficiency.
Assist in automating the routine tasks and processes to improve overall efficiency and reduce human errors.
Actively participate in troubleshooting activities and SWAT calls and drive investigation towards swift resolution.
Build comprehensive and robust documentation repositories that can facilitate knowledge transfer among PRE and Global Operations peers.
Assist the team with implementing GenAI and machine learning trends to continuously optimize the application reliability and efficiency.
Participate in on-call roster to support business including off-hours.
Self-motivated, and have excellent interpersonal and communication skills.