Description
Role Summary
Meet the UEBA Team:
What you'll get to do
- Design and implement new features while testing and analyzing the performance of existing systems.
- Uphold high engineering standards by leading design, code, and test plan reviews.
- Build reliable, scalable, and high-performance distributed systems.
- Identify and implement opportunities for engineering and operational excellence.
- Participate in on-call rotations, post-incident reviews, and other operational activities to ensure service reliability.
- Debug and resolve customer-reported issues, delivering effective solutions.
- Collaborate with cross-functional teams, product managers and other engineers.
- Contribute to sprint and quarterly planning by helping estimate tasks and workloads.
- Learn, explore, and integrate new technologies into the team’s workflow.
Must-have Qualifications
- Proficiency in programming languages such as Java, Python, or Scala, with a solid understanding of data structures, algorithms, RESTful APIs, and microservices.
- Strong knowledge of distributed system architecture, including data persistence and processing technologies for both streaming and batch applications.
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and container technologies like Docker and Kubernetes
- Proficiency in application monitoring, log management, metrics/telemetry processing, and alerting tools.
- Experience with an Agile DevOps engineering environment that effectively uses CI/CD pipelines (Jenkins, GitLab, etc.)
- 5 years of related experience with a technical Bachelor’s degree; or equivalent practical experience; or 3 years and a technical Master’s degree; or a Ph.D. without experience; or equivalent practical experience
Nice-to-have Qualifications
- Experience with large-scale event processing systems and data storage solutions, including both SQL and NoSQL, with experience in time series data storage and retrieval
- Familiarity with ML frameworks, data pipelines, or analytics tools to enhance system intelligence and decision-making capabilities.
- Experience with Splunk (SPL)
- Experience with AWS services such as EMR, Aurora, SQS, and Kinesis
- Mentor and guide junior engineers in best practices for building scalable systems, fostering a culture of scalability and performance excellence
Splunk is an Equal Opportunity Employer
Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Note:
Base Pay Range
SF Bay Area, Seattle Metro, and New York City Metro Area
Base Pay Range: $146,400.00 - 201,300.00 per year
California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts
Base Pay Range: $131,760.00 - 181,170.00 per year
All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.
Base Pay Range: $117,120.00 - 161,040.00 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!
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