Software Engineer, System Scalability (US Remote ...

Splunk is here to build a safer and more resilient digital world. The world's leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. While customers love our technology, it's our people that make Splunk stand out as an amazing career destination and why we've won so many awards as a best place to work. If you become a Splunker, we want your whole, authentic self, what we call your "million data points". So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Role: We are seeking a Scalability Engineer to help design and benchmark scalability and performance of Splunk's User and Entity Behavior Analytics (UEBA) product, a cloud-native, multi-tenanted analytics solution, that detects known and unknown threats by applying behavioral analysis based on advanced ML/AI technology. The Splunk UEBA product will empower large and medium scale enterprises to combat security threats, protect brand reputation and protect intellectual property. Meet the UEBA Team: Want to work on products that make a difference for our customers? Want to design and implement scalability benchmarks for large-scale applications powered by massive data sets and make key technical decisions across a full stack of technologies? If so, a role on the Splunk User and Entity Behavior Analytics(UEBA) team would be a great fit for you. What You'll get to do: Design and implement solutions to evaluate and improve performance and scalability of Cloud Native / SaaS / Big Data platform and application Make code changes for suggested improvements Design and implement solutions to perform self service performance and scalability evaluation Plan and implement load tests to simulate high-throughput with low latency scenarios, identifying potential bottlenecks and improvements Set up and maintain monitoring tools to track system performance, resource usage, and potential scalability issues in real time Work closely with teams including software engineers, DevOps, and product managers Stay updated on industry trends to implement standard practices for system scalability and performance, ensuring continuous improvement and efficiency in the architecture Document and present system architectures, scalability plans, optimization strategies and test results Must-have Qualifications: 3+ years of experience in Performance Engineering and Benchmarking Good working knowledge of distributed system architecture principles and large data persistence and processing technologies in streaming and batch Programming experience using languages such as Python, Shell Scripting, Java, Go etc Strong skills in using profiling tools (e.g., Prometheus, New Relic, Dynatrace) to identify bottlenecks and optimize system performance Proficiency with application monitoring, log management, metrics/telemetry processing and alerting tools Experience with load testing tools to simulate traffic and stress-test systems Exposure to working with cloud environments (AWS, Azure, GCP) and container ecosystems (Docker and Kubernetes) 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 Strong understanding of OS fundamentals (Mac/ Linux/ Windows) and OS level performance issues Experience with Splunk (SPL) Experience with EMR, Aurora, postgres, 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 At Splunk, we believe creating a culture of belonging isn't just the right thing to do; it's also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements. 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 ( .

Created: 2024-11-05