Engineering

Software Engineer - User Behavioral Security Analytics

Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!

Are you passionate about working on products that make a difference for your customers? Do you enjoy building large scale applications that are powered by huge data sets? 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 Splunk Security Analytics team would be a great fit for you.

We are seeking a Software Engineer to help develop and deliver Splunk's User Behavior Analytics (UBA) security analytics solution that detects known and unknown security threats at scale. Delivered on customer managed resources using Kubernetes and Spark to run innovative stream processing and machine learning algorithms in near real-time, UBA helps security analysts quickly identify and resolve threats.

Responsibilities

  • Develop new product features, clarify and improve designs, and help put together a plan for how to make it happen (using Agile Methodologies).
  • Collaborate closely with members of our team to design and create end-to-end user workflows.
  • Keep product quality top of mind by extensively using Continuous Integration/Continuous Development (CI/CD), testing technologies (unit, functional, performance), and best practices to ensure that the product is of high quality.

Experience

  • Programming experience using languages such as Java, C/C++ or Go
  • Familiarity with streaming and distributed computing technologies such as Kafka, Pulsar, Flink, Spark, Hadoop, Cassandra
  • Exposure to working with container ecosystems (Docker, Kubernetes, Kubernetes Operator Framework)
  • 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, Bitbucket, etc.)
  • Ability to learn new technologies quickly and to understand a wide variety of technical challenges to be solved
  • Background in developing products for the Security market a plus
  • 2 years of related experience; or equivalent practical experience; or an advanced technical degree without experience; or equivalent practical experience.

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 and QA 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, with efficient work from home environments today and modern offices standing by for future times.

We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying. 

For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records


 
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.

Individuals seeking employment at Splunk are considered without regards 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 (except where physical fitness is a valid occupational qualification), genetic information, veteran status, or any other consideration made unlawful by federal, state or local laws. Click here to review the US Department of Labor’s EEO is The Law notice. Please click here to review Splunk’s Affirmative Action Policy Statement.

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. 
 
For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.

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.

To check on your application click here.
 
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