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Senior Site Reliability Engineer

2 months ago

Austin, Texas, United States Visa Full time
Company Overview


Visa stands as a global frontrunner in digital payment solutions, orchestrating over 215 billion transactions annually across a vast network of consumers, merchants, financial institutions, and governmental bodies in more than 200 nations.

Our vision is to unite the globe through the most advanced, convenient, reliable, and secure payment infrastructure, empowering individuals, enterprises, and economies to flourish.

Joining Visa means becoming part of a community that values purpose and inclusivity – where your development is prioritized, your identity is celebrated, and your contributions are significant.

We are committed to fostering economies that are inclusive of all, enhancing the lives of individuals everywhere.

Your role will directly influence billions globally, facilitating financial access and shaping the future of monetary transactions.


Join Visa:
A Network Committed to Inclusivity.
Position Overview

The Product Reliability Engineering (PRE) division is an integral part of Visa's technological framework.

This team is tasked with the stewardship and support of Visa's data resources, delivering enhanced products and services that drive innovation for our partners and clients, both within Visa and on a global scale.

The Big Data Platform Team within Product Reliability Engineering focuses on supporting an open-source Big Data ecosystem and associated services at Visa.

As a Senior Site Reliability Engineer, you will oversee monitoring, diagnosing, automating, and continuously enhancing software products and tools to bolster the availability and resilience of open-source platforms at Visa.


Key Responsibilities:
  • Administer and engineer solutions on open-source technologies such as Hadoop, Spark, Airflow, and machine learning platforms operating on open-source Kubernetes clusters.
  • Exhibit strong troubleshooting and debugging capabilities.
  • Foster cross-team collaboration, building and nurturing relationships with customer teams, user communities, architects, and engineering teams to ensure production scalability and stability.
  • Conduct effective root-cause analysis of significant production incidents and develop comprehensive documentation for learning.
  • Plan and execute capacity expansions and upgrades promptly to prevent scaling issues and bugs.
  • Automate repetitive tasks to minimize manual effort and reduce human error.
  • Optimize alerting systems and establish observability to proactively identify issues and performance challenges.
  • Utilize DevOps tools and methodologies (incident, problem, and change management) in daily operations.
  • Implement automation and self-healing processes as required.
  • Lead investigations into root causes of Kubernetes application service failures and support escalation processes.
  • Ensure Kubernetes platform services meet performance and SLA standards effectively.
  • Enhance security and hardening of the Kubernetes cluster with monitoring and auditing dashboards.

This role operates in a hybrid work environment. Employees in hybrid roles are expected to work from the office 2-3 designated days a week, as determined by leadership, with a general expectation of being in the office 50% or more of the time based on business requirements.

Qualifications

Basic Qualifications:
5+ years of relevant experience with a Bachelor's Degree, or at least 2 years of experience with an Advanced degree (e.g., Masters, MBA, JD, MD), or 0 years of experience with a PhD, OR 8+ years of relevant experience.

Preferred Qualifications:
6 or more years of experience with a Bachelor's 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 of hands-on experience with on-premises container infrastructure – OpenShift, open-source Kubernetes preferred.
Familiarity with infrastructure operations and production support of container technologies and orchestration platforms is advantageous.
Knowledge of Docker/Kubernetes deployment, configuration, scaling, and management of containerized applications is beneficial.
Experience in managing and optimizing performance of Hadoop platforms.
Extensive knowledge of the Hadoop ecosystem, including HDFS, Yarn, HIVE, and SPARK.
Proficient in Shell and Python programming for automating repetitive DevOps tasks.
Understanding of security tools such as Kerberos and Ranger.
Strong knowledge and experience in Unix/Linux Systems Administration in relevant technologies.
Experience with configuration management tools like Chef and Ansible is a plus.
Familiarity with monitoring and logging tools such as Prometheus and Grafana is advantageous.
Excellent verbal and written communication skills, along with strong analytical and problem-solving abilities.
Self-motivated with the ability to work independently.
Additional Information

Work Hours:
Varies based on departmental needs.

Travel Requirements:
This position may require travel 5-10% of the time.

Mental/Physical Requirements:
This position will be performed in an office environment.


The role necessitates the ability to sit and stand at a desk, communicate in person and via telephone, and frequently operate standard office equipment, such as telephones and computers.

Visa is an Equal Employment Opportunity Employer.


Qualified candidates 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.