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Staff Site Reliability Engineer - Cloud Engineering - job 14 of 20

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Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.

The Opportunity:

As a Staff Site Reliability Engineer in Product Reliability Engineering, you will be part of a team that maintains and supports Visa's Data Platform and provides support for key cloud based Big data and Kafka Platforms. You will be responsible for driving innovation for our partners and clients, within Visa and globally. You will work on open-source Big Data and Kafka clusters focusing on Cloud, ensuring their availability, performance, reliability, and improving operational efficiency.

The Work itself:

Essential Functions:

· Design, build and manage Big Data and Kafka infrastructure on AWS, GCP and Azure.

· Manage and optimize Apache Big Data and Kafka clusters for high performance, reliability, and scalability.

· Develop tools and processes to monitor and analyze system performance and to identify potential issues.

· Collaborate with other teams to design and implement Solutions to improve reliability and efficiency of the Big data cloud platforms.

· Ensure security and compliance of the platforms within organizational guidelines.

· Other responsibilities include effective root cause analysis of major production incidents and the development of learning documentation. The person will identify and implement high-availability solutions for services with a single point of failure.

· The role involves planning and performing capacity expansions and upgrades in a timely manner to avoid any scaling issues and bugs. This includes automating repetitive tasks to reduce manual effort and prevent human errors.

· The successful candidate will tune alerting and set up observability to proactively identify issues and performance problems. They will also work closely with Level 3 teams in reviewing new use cases and cluster hardening techniques to build robust and reliable platforms.

· The role involves creating standard operating procedure documents and guidelines on effectively managing and utilizing the platforms. The person will leverage DevOps tools, disciplines (Incident, problem, and change management), and standards in day-to-day operations.

· The individual will ensure that the platforms can effectively meet performance and service level agreement requirements. They will also perform security remediation, automation, and self-healing as per the requirement.

· The individual will concentrate on developing automations and reports to minimize manual effort. This can be achieved through various automation tools such as Shell scripting, Ansible, or Python scripting, or by using any other programming language.

The Skills You Bring:

· Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale.

· Challenge the Status Quo: Comfort in pushing the boundaries, “hacking” beyond traditional solutions.

· Language Expertise: Expertise in one or more general development languages (e.g., Java, python)

· Builder: Experience building and deploying distributed systems.

· Learner: Constant drive to learn new technologies such as cloud technologies, Kubernetes, MLOPS.

· Partnership: Experience collaborating with Engineering, Application and Other functional teams.

**We do not expect that any single candidate would fulfill all these characteristics. For instance, we have awesome team members who are really focused on building scalable systems but didn’t work with payments technology or web applications before joining Visa.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Average salary estimate

$120000 / YEARLY (est.)

min

max

$100000K

$140000K

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What You Should Know About Staff Site Reliability Engineer - Cloud Engineering, Visa

Are you ready to take on a pivotal role in shaping the future of commerce? Visa is looking for a Staff Site Reliability Engineer - Cloud Engineering to join our dynamic team in Austin. Here at Visa, we pride ourselves on operating the world’s most advanced processing networks, handling over 65,000 secure transactions per second. In this role, you'll be at the forefront of innovation, supporting our Data Platform and key cloud-based Big Data and Kafka Platforms while collaborating with partners globally. You will design, build, and optimize Big Data and Kafka infrastructures on major cloud services like AWS, GCP, and Azure. Your expertise will help us enhance the reliability and performance of our systems, ensuring they effectively serve millions of users daily. You'll also engage with teams across the organization to create robust solutions and automate processes—reducing manual effort and preventing errors. With a growth mindset, your passion for technology will be crucial as you drive improvements in performance and security, all while enjoying a flexible hybrid work environment, splitting your time between remote work and our vibrant Austin office. This is not just a job; it's an opportunity to challenge the status quo and be part of something groundbreaking at Visa.

Frequently Asked Questions (FAQs) for Staff Site Reliability Engineer - Cloud Engineering Role at Visa

What are the key responsibilities of a Staff Site Reliability Engineer - Cloud Engineering at Visa?

As a Staff Site Reliability Engineer - Cloud Engineering at Visa, you will design and manage Big Data and Kafka infrastructure across major cloud platforms like AWS, GCP, and Azure. You'll be responsible for optimizing system performance and reliability, developing monitoring tools, and collaborating with various teams to enhance platform efficiency. Ensuring compliance with security standards, performing root cause analysis of incidents, and automating tasks to reduce manual effort are also vital parts of your role.