Senior Software Engineer - Web Applications - Backend (Python, Django)

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, our 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!


Do you enjoy working with smart and passionate people who are out to innovate the way people interact with data? Do you thrive in a team atmosphere where you can have a deep impact on a wide range of work? Are you a self-starter that enjoys learning new technologies and providing mentorship? Are you comfortable working in a loosely structured organization to embrace change as an opportunity to improve things?

If so, Splunk is looking for experienced Software Engineers to join the team building the next generation of Splunkbase. You will have significant influence on the evolution of a product that we are working on which will change the landscape of how developers build, manage, and install applications that thousands of customers can use to interact with their machine data. Specifically you will be responsible for contributing to the engineering efforts that empower the platform to provide a robust ecosystem that allows Splunk customers to discover and use a rich set of community and Splunk-built applications.


  • Build services and technologies to enable internal and external developers to deliver applications on the newly developed platform.
  • Able to drive the technical direction, mentor engineers, and work with many different technologies
  • Implement features that use innovative technologies, open-source initiatives, and third-party services.
  • Create, enhance and encourage robust test suites for all code, because you recognize the value of automated testing and continuous integration.
  • Integrate metrics and service level indicators into features you build so that you can monitor, improve, and scale out services horizontally.
  • Design, develop, and deploy software daily using continuous delivery tools based on Docker, Codeship, and Kubernetes.
  • Provide fanatical production support for your features and applications.


  • 8+ years of professional software engineering experience, including large-scale SaaS application development
  • Strong communication and comprehension skills, both verbal and written.
  • Proficiency with either Python, Go, or C++ in a production environment.
  • Understanding what it means to craft software that is a part of a larger microservice architecture.
  • Familiar with at least one auth and identity protocol such as OAuth 2.0, OIDC, or SAML.
  • Expertise developing and working with thoughtfully designed REST APIs and SDKs.
  • Background includes working with Docker, Kubernetes, or other container technologies.
  • Familiarity with major cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure.
  • Strong understanding of data modeling and storage with NoSQL and RDBMS.
  • Comfortable with tuning application performance and engineering for scalability.

Nice to have:

  • A BS Computer Science or Electrical Engineering or equivalent.
  • Experience working with Django web framework
  • Exposure to Splunk or a similar analytics solution.
  • Experience working with marketplaces
  • Background in stream processing (e.g. Kafka, Flume, Storm, Spark Streaming).
  • Involvement in open-source projects.

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.

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