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.
Basic Qualifications
· 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
Preferred Qualifications:
· 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
· Demonstrated experience with AWS and GCP cloud platforms.
· Experience with managing and optimizing Big Data and Kafka clusters.
· Proficient in scripting languages (Python, Bash) and SQL.
· Familiarity with big data tools (Big Data, Spark, Kafka, etc.) and frameworks (HDFS, MapReduce, etc.).
· Strong knowledge in system architecture and design patterns for high-performance computing.
· Good understanding of data security and privacy concerns.
· Experience with infrastructure automation technologies like Docker, Kubernetes, Ansible, Terraform is a plus.
· Excellent problem-solving and troubleshooting skills.
· Strong communication and collaboration skills.
· Observability: knowledge on observability tools like Grafana, opera and Splunk.
· Linux: understanding of Linux, networking, CPU, memory, and storage.
· Programming Languages: Knowledge of and ability to code or program in one of Java, python or a widely used coding language.
· Communication: Excellent interpersonal skills, along with superior verbal and written communication abilities.
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 119,100.00 to 172,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
