Job Description

Product Reliability Engineering (PRE) is part of the Visa's technology organization. The division is responsible for maintaining and supporting Visa's data assets and provides support for value added products and services to drive innovation for our partners and clients, within Visa and globally. Product Reliability Engineering Big Data Platform Team is part of PRE and supports Open-source Big Data stack and Big Data Services in Visa.

As a Staff Site Reliability will be responsible for monitoring, troubleshooting, automating and continuously developing software products and tools to improve the availability and resiliency of Open-source Platforms at Visa.

Essential Functions:

• Perform Administration and Engineering activities on Open-source Hadoop, Open-source Spark, Airflow, Machine learning platform running on Open-source Kubernetes clusters.
• Strong Troubleshooting and debugging skills.
• Cross-team teamwork, build and maintain relationships with the customer teams, the user community, architects, and engineering teams, jointly work on key deliverables ensuring production scalability and stability.
• Effective Root-cause analysis of major production incidents and developing learning documentation.
• Plan and perform capacity expansion and upgrades in timely manner avoiding any scaling issues and bugs.
• Automation of repetitive tasks to reduce manual effort and avoid Human errors.
• Tune alerting and setup observability to proactively identify the issues and performance problems.
• Leverage Devops tools, disciplines (Incident, problem and change management) and standards in day-to-day operations.
• Perform automation and selfheal as per the requirement.
• Lead and participate in the determination of root-causes for Kubernetes Application service failures and support escalation.
• Ensure the Kubernetes platform services can effectively meet performance and SLA requirements.
• Hardening, securing the Kubernetes cluster with monitoring and auditing dashboards.

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.

Qualifications

Basic Qualification:

• 5+ years of relevant work experience with a Bachelor’s 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, OR 8+ years of relevant work experience.

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
• At least 3 years hands-on experience with On-Prem container Infrastructure – OpenShift, Opensource Kubernetes preferred.
• Knowledge of Infrastructure Operations and Production Support of container technologies and orchestration platforms is plus.
• Knowledge of Docker/Kubernetes deployment, configuration, scaling, and management of containerized applications is a plus.
• Experience in managing and tuning performance of Hadoop platforms.
• Extensive knowledge on Hadoop eco-system such as HDFS, Yarn, HIVE and SPARK.
• Excellent Shell, Python programming skills for automation requirement for repetitive dev-ops tasks
• Understanding of security tools like Kerberos and Ranger.
• Must have Strong Knowledge & experience in Unix/Linux Systems Administration in relevant technologies.
• Experience with configuration management tools like Chef, Ansible is a plus
• Working knowledge of monitoring and logging tools: Prometheus, Grafana etc is plus
• Excellent verbal and written communication and presentation skills, analytical and problem-solving skills
• Self-driven, Ability to work independently.

Additional Information

** 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 154,800.00 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.