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Cisco Lead Software Engineer United States, California, San Francisco 449998517
23.06.2025
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Lead Software Engineer - Observability Infrastructure Monitoring
About the RoleYou will be a key contributor and lead for the user facing web application for Splunk Observability Infrastructure Monitoring. Splunk’s Observability Suite is a leader in the Gartner Magic Quadrant and Infrastructure Monitoring is one of the most used and popular products in this suite.
Responsibilities- Operates as a lead engineer, independently executes tasks as determined and owns the outcomes.
- Own and organize processes for the team such as sprint planning, retrospectives, backlog refinements, program increment (PI) planning, and more.
- Understand the business direction and is able to promote innovative ideas and acquire alignment with multi-functional teams; can influence PM on features, product direction and priority.
- Collaboratively lead design discussions under technical purview, ensuring both functional & non-functional requirements (like scale, security, operability, usability, etc) are considered
- Lead the development new product features, clarify and improve designs, help put together a plan for how to make it happen; participate in code review
- Build relationships with cross-area teams to effectively understand dependencies, gain alignments and set up collaborations
- Grow senior engineers through design & code review, tech seminars, mentoring, pair-programming, etc.
- Take actions to improve the team’s engineering and operational practices
- Proven track record of architecting, designing, and delivering complex, large-scale backend systems.
- Expertise inGolangfor backend development; experience withPythonor Java is a plus.
- Strong hands-on experience with OpenTelemetry, Prometheus, and Grafana for observability and monitoring in distributed environments.
- Deep understanding of microservices architecture and distributed systems, ensuring scalability, performance, and reliability.
- Experience developing cloud native applications in Kubernetes, or Openshift, Server clusters in distributed environments in AWS, GCP clouds or on-prem clusters.
- Rich experience with 1 or more relational databases & NoSQL databases
- Knowledge and experience leveraging AI technologies is a BIG plus and desirable.
- Knowledge and experience using observability tools would be an advantage.
- Ability to drive architectural decisions, set technical direction, and mentor engineers, fostering a culture of excellence and innovation.
- Strong communication skills, both verbal and written.
- Bachelor’s degree in Computer Science, Computer Engineering or related majors; approximately 8-10 years of relevant and proven experience
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