Sr. Manager - Observability Engineering - job 1 of 20

As a Sr. Manager - Observability Engineering at Visa, you will design, develop, and implement observability solutions critical to our operational systems. You will work with diverse teams to create cutting-edge observability solutions across multiple technical offerings, ensuring these solutions are robust, scalable, and tailored to meet business needs.

Essential skills for the Sr. Manager - Observability Engineering role at Visa include a growth mindset, experience in building scalable systems, and the ability to lead collaboration with Product, Test, Dev-ops, and Agile teams. Familiarity with today’s cutting-edge technologies, such as Docker and Kubernetes, is also valuable.

To qualify for the Sr. Manager - Observability Engineering position at Visa, candidates should have a strong background in engineering, demonstrating experience in software development and deployment of modern web applications. A solid understanding of observability and cloud technologies is also crucial.

Visa fosters a culture of growth and learning, encouraging its Sr. Manager - Observability Engineering to explore new technologies and methodologies. The company provides resources and an environment where team members can continuously enhance their skills and excel in their roles.

The Sr. Manager - Observability Engineering role at Visa is a hybrid position, allowing flexibility in working both in-office and remotely. The specific expectations for in-office days will be determined by your hiring manager.

When answering this question, consider sharing specific examples of observability tools you've worked with, such as tracing or monitoring systems. Elaborate on challenges you faced, how you overcame them, and the impact your solutions had on system performance.

It’s important to discuss your methodology for scalability during the interview. Explain processes such as load testing, performance tuning, and utilizing cloud environments effectively. Be specific about tools and frameworks you have used to ensure systems can handle increased loads.

Detail your thoughts on visualizing data, real-time logging, distributed tracing, and alerting mechanisms. Discuss how these components contribute to system health and how they help dev teams quickly troubleshoot issues.

Share examples that illustrate your experience working with aligned teams, such as product development and operations. Highlight your communication practices and how you facilitate understanding amongst differing stakeholder perspectives.

Express your commitment to continuous learning. Mention resources such as online courses, professional organizations, or community forums. Share how this knowledge has benefited your previous teams or projects.

Discuss specific metrics you would use to assess the performance of observability solutions, such as system uptime, response times, and incident resolution times. Provide examples of how you’ve tracked improvements over time.

Share a detailed story that outlines the context, your actions, and the outcomes. Focus on how your problem-solving skills directly contributed to a successful resolution regarding system observability.

Explain how clear, accessible documentation can provide users with insights into system behavior, guides for troubleshooting, and standard procedures. Emphasize the importance of keeping documentation up-to-date for ongoing projects.

Discuss how you implement Agile methodologies in your work, such as Scrum or Kanban. Provide examples of how these practices have led to more efficient collaboration, faster deployments, and better adaptability in engineering projects.

Describe your mentoring approach, focusing on hands-on guidance, setting structured learning paths, and fostering an open environment for questions. Mention how empowering team members can exponentially improve overall team performance.