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Splunk

Software Engineer, UEBA Team (US Remote Available)

Remote Seattle, WA
API Streaming GCP Docker Java Scala AWS Azure Kubernetes SQL Python Microservices
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Description

Description

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it's our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. 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. Come help organizations be their best, while you reach new heights with a team that has your back.

Role Summary

We are seeking a Software Engineer to help design, develop and deliver 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 intellectual property.

Meet the UEBA Team:

Want to work on products that make a difference for our customers? Want to design and develop 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 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

We’ve taken special care to separate the must-have qualifications from the nice-to-haves. “Nice-to-have” means just that: Nice. To. Have. So, don’t worry if you can’t check off every box. We’re not hiring a list of bullet points–we’re interested in the whole you.
  • 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

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.

Thank you for your interest in Splunk!

Splunk
Splunk
Analytics Information Technology Intelligent Systems Real Time

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