Principal Software Engineer - Observability Infrastructure Monitoring
Description
About the role
What you'll get to do
- Operates as a technical lead, solution architect & full stack developer of the team, leading technical roadmap and vision
- Own and organize processes for the team such as sprint planning, retrospectives, backlog refinements, program increment (PI) planning, and more.
- Work with leadership team to influence products and process strategies
- 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 and technical leaders through design & code review, tech seminars, mentoring, pair-programming, and etc.
- Take actions to improve the engineering team’s engineering and operational practices
Must have qualifications
- Proven track record of architecting, designing, and delivering complex, large-scale backend systems.
- Expertise in Golang for backend development; experience with Python or 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; 10+ years of relevant proven experience
Meet the Products and Technology Team
Splunk is an Equal Opportunity Employer
Note:
Base Pay Range
SF Bay Area, Seattle Metro, and New York City Metro Area
Base Pay Range: $203,200.00 - 279,400.00 per year
California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts
Base Pay Range: $182,880.00 - 251,460.00 per year
All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.
Base Pay Range: $162,560.00 - 223,520.00 per year
Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.
Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https://splunkbenefits.com.
Thank you for your interest in Splunk!