Sr. Site Reliability Engineer - job 36 of 50

As a Sr. Site Reliability Engineer at VISA, your key responsibilities will include collaborating with all Business and Technology units to define critical recovery objectives, developing and implementing a top-tier Disaster Recovery program, and ensuring stringent information security measures are in place. You'll also be tasked with conducting annual DR testing activities to verify system readiness and applying your networking knowledge to resolve potential issues.

To apply for the Sr. Site Reliability Engineer position at VISA, candidates typically should possess a strong background in systems engineering, disaster recovery processes, and cloud services. Proficiency with databases like MySQL, Oracle, PostgreSQL, and networking skills such as VPNs and firewalls are critical. A solid understanding of storage devices and experience with Java Web Services and other middleware platforms are also important.

The Sr. Site Reliability Engineer at VISA will lead governance and documentation initiatives while coordinating with various technology teams and stakeholders. This includes executing Visa’s Offline Backup & Recovery program, integrating diverse systems using platforms such as Apache Kafka and Tomcat, and developing crucial documentation for service architecture and risk assessment.

The hybrid work model for the Sr. Site Reliability Engineer position at VISA involves a blend of in-office and remote work. The exact number of days required in the office will be discussed with your Hiring Manager, providing flexibility while still ensuring effective collaboration and communication with the team.

The Sr. Site Reliability Engineer plays a crucial role in VISA's disaster recovery strategy by leading the design and implementation of recovery processes, ensuring that critical systems can be restored effectively and efficiently during disruptions. This position is vital in protecting VISA's information assets and maintaining business resilience.

In your response, detail a specific situation where you initially assessed risks, defined objectives, and successfully executed the disaster recovery plan. Highlight any challenges faced and how you overcame them to ensure that systems were restored efficiently.

Discuss how you evaluate the criticality of various systems and features, using criteria such as RTOs and RPOs to guide your prioritization. Mention your method for maintaining a balanced approach to planning and execution.

Share specific testing strategies like simulation drills, tabletop exercises, or using real-world scenarios to validate plans. Detail how you analyze results and adapt the plan based on these findings to improve readiness.

Explain the importance of continuous learning in your field, such as attending industry conferences, participating in webinars, and following relevant publications. This shows your commitment to staying informed about best practices and emerging technologies.

List specific tools and technologies you have experience with, such as data backup solutions, replication software, and cloud services. Explain how you have leveraged these tools to enhance disaster recovery efforts.

Discuss your familiarity with various databases and detail the steps you take for failover, including monitoring, testing, and technology deployments that ensure uptime and data security.

Emphasize the significance of thorough documentation. Describe your process of creating clear and accessible documentation for stakeholders, including impact analyses, protocols, and standards for service architecture.

Provide details about a specific integration project, explaining the technologies used, the challenges faced, and how you collaborated with various teams to ensure success. Highlight key results.

Discuss specific security practices such as data encryption, access controls, and regular audits. Explain how these measures are integrated into disaster recovery plans to protect sensitive information.

Share your methods for evaluating a DR program, including metrics you analyze, feedback mechanisms, and how you incorporate learnings into future improvements to ensure ongoing effectiveness.