Sr. Site Reliability Engineer - job 16 of 50

As a Sr. Site Reliability Engineer at Visa Technology & Operations LLC, you'll be responsible for providing 24/7 support to critical application pipelines and developing audits and alerts for real-time dataflow detection. You will also create data visualizations using Superset Graphs, enhance existing applications based on user needs, and identify automation opportunities to improve processes.

Candidates applying for the Sr. Site Reliability Engineer position at Visa Technology & Operations LLC should have solid experience in a Big Data Technology Stack, proficiency in monitoring and automation tools, and strong analytical skills. Familiarity with developing and implementing audits, alerts, and performance tuning is also crucial in this role.

The working environment for a Sr. Site Reliability Engineer at Visa Technology & Operations LLC is collaborative and dynamic. While the position is based in our Austin office, it offers options for partial telecommuting, allowing for a great work-life balance while engaging with various stakeholders on key projects.

At Visa Technology & Operations LLC, a Sr. Site Reliability Engineer plays a pivotal role in ensuring production scalability by collaborating with cross-functional teams, enhancing application performance, automating monitoring processes, and being proactive in identifying and addressing potential issues before they impact production environments.

A Sr. Site Reliability Engineer at Visa Technology & Operations LLC should be well-versed in Big Data technologies, visualization tools like Superset, automation and monitoring frameworks, and have a strong foundation in coding and data analysis. Experience with cloud infrastructure and various data processing tools can also be beneficial.

Absolutely! As a Site Reliability Engineer, your main responsibilities would include maintaining system reliability, managing incident responses, and working on infrastructure automation. It's crucial to demonstrate your understanding of balancing development tasks with operations work.

Monitoring application performance involves using various metrics and tools, such as dashboards, logs, and alerts. Explain how you set up alerts for critical metrics and how you analyze those metrics to make data-driven decisions to improve system reliability.

When discussing a challenging incident, share a specific scenario where your technical skills and problem-solving abilities were put to the test. Highlight how you approached the issue, what steps you took to resolve it, and what you learned from the experience.

In your response, talk about the automation tools you've used, how you've implemented automation in monitoring processes, and the impact it had on reducing manual efforts and improving system reliability.

To ensure effective application scaling, discuss strategies such as load testing, performance monitoring, and working with engineering teams to design scalable architectures. Provide examples of how you've successfully scaled applications in the past.

Highlight the importance of documentation in ensuring that processes are transparent and accessible for team members. Discuss how documentation contributes to knowledge sharing, onboarding new staff, and simplifying incident resolution.

It's essential to emphasize your experience with data visualization tools, like Superset. Share specific examples of how visualizations helped communicate insights to stakeholders and drove impactful decisions for application development.

Explain common challenges such as system outages, performance bottlenecks, or scaling issues. Discuss your strategies for addressing these challenges, including cross-team collaboration and utilizing metrics to drive proactive solutions.

In your answer, express your commitment to continuous learning through industry blogs, attending conferences, and participating in relevant forums or community groups. This shows your dedication to maintaining expertise in the field.

Describe a systematic approach to troubleshooting that involves gathering metrics, checking logs, and narrowly defining the scope of the issue. Showcase your analytical skills and how you perform root cause analysis to resolve performance challenges.