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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.
 
Are you passionate about working on products that make a difference for our customers? Do you enjoy building large scale applications that are powered by huge data sets and solve some of the hardest problems in cybersecurity? Do you value working in an environment where you're empowered to make key technical decisions across a full stack of technologies? If so, a role on the Splunk User and Entity Behavior Analytics team would be a great fit for you.

Role:

We are seeking an MLOps 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 power large and medium scale enterprises to combat security threats, protect brand reputation and protect intellectual property.

Responsibilities:

  • Work closely with data scientists to assist in the development of ML models
  • Implement MLOps practices to automate the deployment, monitoring, and maintenance of ML models
  • Build data pipelines to help with the development and testing of ML models, and serve these models in our runtime.
  • Help with scalability testing of data pipelines and ML models.
  • Use agile development processes to design, develop and operate new product features
  • Use Continuous Integration/Continuous Development (CI/CD) and testing technologies (unit, functional, performance), to ensure that the product continues to be of high quality

Required skills and qualifications:

  • Three or more years experience with programming languages such as Scala, Python, or Java
  • Three or more years experience with Spark
  • Experience building solutions working with petabyte-scale data-sets
  • Familiarity with the AWS ecosystem, specifically EMR and Glue ETL
  • Familiarity with SQL and NoSQL databases
  • Knowledge of distributed computing architectures and principles that solve for scalability, performance, redundancy, and reliability
  • Experienced with an Agile DevOps engineering environment that effectively uses CI/CD pipelines (Jenkins, GitLab, etc.)
  • Ability to learn new technologies quickly and to understand a wide variety of technical challenges to be solved
  • 5 years of related experience with a technical Bachelor’s degree, or 3 years and a technical Master’s degree.

What We Offer You:

  • A constant stream of new things for you to learn. We're always expanding into new areas, bringing in open source projects and contributing back, and exploring new technologies.
  • A set of exceptionally talented and dedicated peers, all the way from engineering to product management and customer support.
  • Growth and mentorship. We believe in growing engineers through ownership and leadership opportunities. We also believe mentors help both sides of the equation.
  • A stable, collaborative and supportive work environment.
  • Fun. It is one of our core tenets.
  • Work life balance - We want you to have a successful time outside of work too. Our colleagues are trusted to be responsible with their time and commitment, and we believe that balance helps cultivate a positive environment.
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: $133,600.00 - 183,700.00 per year

California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts

Base Pay Range: $120,240.00 - 165,330.00 per year

All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.

Base Pay Range: $106,880.00 - 146,960.00 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 comprehensive benefits and wellbeing offering at https://splunkbenefits.com.



Splunk's Hiring Practices
Splunk turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges.

We value diversity, equity, and inclusion at Splunk and are an equal employment opportunity employer. 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. Click here to review the US Department of Labor’s EEO is The Law notice. Please click here to review Splunk’s Equal Employment Opportunity Policy Statement. If you need assistance or an accommodation to apply or during the hiring process, please let us know by completing our Accommodation Request form.

Splunk also has policies in place to protect the personal information candidates disclose to us as part of the application process. Please click here to review Splunk’s Career Site Privacy Policy.

Splunk does not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Please click here to review Splunk’s Pay Transparency Nondiscrimination Provision.

Splunk is committed to the health and safety of our employees and customers. We comply with local, state/territory, and federal regulations to prevent the spread of COVID-19 in the countries in which we operate. Splunk provides reasonable medical, religious, or other legally required accommodations for eligible employees.

Splunk is also committed to providing access to all individuals who are seeking information from our website. Any individual using assistive technology (such as a screen reader, Braille reader, etc.) who experiences difficulty accessing information on any part of Splunk’s website should send comments to accessiblecareers@splunk.com. Please include the nature of the accessibility problem and your e-mail or contact address. If the accessibility problem involves a particular page, the message should include the URL of that page.

Splunk doesn't accept unsolicited agency resumes and won't pay fees to any third-party agency or firm that doesn't have a signed agreement with Splunk.

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