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Engineering

Principal Software Engineer - Cloud Data Collection

Are you interested in being part of a team building new and innovative enterprise and SAAS products integrating with cloud and cloud native technologies? Splunk is looking for a Software Engineer to be part of an agile team in building new, innovative and user-friendly ways of onboarding and ingesting cloud monitoring data. This team is a part of GDI (Getting Data In) group in Splunk, that has multiple teams working on the cutting edge of cloud integrations, streaming data ingest and cloud onboarding solutions that will provide the data for various Splunk products and solutions in the IT and Security monitoring, investigation and analytics space.

We give our engineers an environment in which they can contribute from day one while also providing opportunities for learning and growth. You’ll learn how our entire stack works – from data ingestion to search, building exciting end user experiences which will directly impact our customers.

Join us as we pursue our disruptive new vision to harness machine data in the next generation of IT and Security analytics products! We are a company filled with people who are passionate about our products and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and commemorate each other’s success.

What We’re Looking For:

  • You have experience building cloud native applications in an agile manner using DevOps concepts and principles.
  • Experience having designed, implemented and released distributed SaaS and/or On-prem applications to a large customer base.
  • Have designed and developed APIs and micro services and released them using automated CI/CD pipelines.
  • Have experience working with one or more of the public cloud providers i.e. AWS, Azure or GCP
  • Have distributed systems design experience and integrating multiple systems using enterprise integration patterns and standard methodologies.
  • You are proficient in coding in Python.
  • You are a full stack engineer comfortable with JS frameworks (ReactJS or JQuery) as well as API/microservices development.
  • You have worked with SQL and NoSQL databases.
  • Ability to coach/mentor junior engineers on the team, provide technical direction, perform design/code reviews and champion engineering best practices.
  • 8+ years of experience and a MS in Computer Science or relevant work experience preferred.

What We Offer You:

  • A constant stream of new things to learn. We’re always expanding into new areas, bringing in open source projects and contributing back, and exploring new technologies.
  • A set of incredibly hardworking and dedicated peers, all the way from engineering and QA to product management and customer support.
  • Breadth and depth. You want to work on an area that spans backend and frontend? We have that. You want to go deep into optimizing how we gather data from disparate sources? We have that too, and more.
  • Growth and mentorship. We believe in growing engineers through ownership and leadership opportunities. We also believe mentors help both sides of the equation.
  • We don’t expect people to work 12-hour days. We want you to have a successful time outside of work too. We trust our colleagues to be responsible with their time and commitment and believe that balance helps cultivate a great environment.

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. 

(Colorado only*) Minimum base salary of $135,000. You may also be eligible for incentive pay + equity + benefits. Note: Disclosure per sb19-085 (8-5-201 et seq).

 
 
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.

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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