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Staff Site Reliability Engineer - Cloud Engineering - job 16 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

$135000 / YEARLY (est.)

min

max

$120000K

$150000K

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

Are you ready to join Visa's cutting-edge Technology Organization as a Staff Site Reliability Engineer in Cloud Engineering? Located in the vibrant city of Austin, you'll become an integral part of a dynamic team that's reshaping the future of commerce. In this role, you will be solving complex distributed system issues and tackling massive scaling challenges while ensuring the reliability and performance of our innovative cloud-based Big Data and Kafka platforms. Your responsibilities will include designing, building, and managing infrastructure on AWS, GCP, and Azure, while optimizing Apache clusters for peak performance. As a key player, you'll collaborate with cross-functional teams to enhance system efficiency and lead initiatives that drive operational excellence. You will also focus on automating processes to streamline operations and ensure the security and compliance of our platforms. With your passion for technology and a growth mindset, you'll constantly improve our partnerships and bring innovative solutions to the table. As a hybrid work position, you’ll enjoy the flexibility of working remotely some days while collaborating in the office. If you're excited to take on challenging projects on a global scale and are ready to push the boundaries of what's possible, this is the opportunity you've been waiting for!

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

What are the responsibilities of a Staff Site Reliability Engineer at Visa?

A Staff Site Reliability Engineer at Visa is responsible for designing and managing Big Data and Kafka infrastructure on leading cloud platforms like AWS, GCP, and Azure. This includes optimizing Apache clusters, developing monitoring tools to analyze system performance, collaborating with various teams to enhance reliability and efficiency, and ensuring security and compliance within the organization's guidelines.