Engineering

Software Engineer - Splunk Cloud APIs (Kubernetes)

Location: San Jose or San Francisco, CA

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 building software that makes a difference? Do you enjoy collaboration with a team of fun and smart creative people? Do you value an environment where you're empowered to make key technical decisions across a full stack of technologies? If so, a role on Splunk on Kubernetes (sok8s) team might be a great fit for you.

Role

As a Software Engineer, you'll be part of Splunk’s core cloud platform and responsible for designing and developing Kubernetes operators that manage our Streaming, Messaging, Searching, Indexing workloads. Be part of a small closely knit team in the Bay Area and have a large impact in shaping the team, technology and a culture of excellence. You will be immersed in both microservices and core platforms as well as have exposure to the full portfolio of technology areas.

You are an expert in distributed computing, cloud native software architecture/development and efficient in-memory algorithms. Initiative, passion and commitment is your soft currency. You are excited to take on roles that provide new growth and learning opportunities. Finally, you enjoy working with highly collaborative teams and have fun doing your stuff!

What You’ll Do

  • Design and develop algorithms/code for Splunk Enterprise roadmap for Cloud.
  • Collaborate in a CI / CD development model for cloud native deployments.
  • Create high quality distributed design and code and maintain it in cloud.
  • Analyze and improve performance, scalability and reliability.
  • Brainstorm and influence technical decision making for features and architecture turns.
  • Have fun and achieve your career goals.

Requirements

  • Requires a minimum of 5 years of related experience with a technical Bachelor’s degree; or equivalent practical experience; or 3 years of experience with Master’s degree
  • Demonstrable foundation in data structures, algorithms and software design for cloud scale.
  • Familiarity and experience with Microservices Architecture & AWS
  • Familiarity in building cloud microservices and distributed systems in Golang.
  • Familiarity with agile development models for cloud native architectures (Microservices, automated CICD, RESTful API’s SOA, etc) at cloud scale.
  • Knowledge of networking protocol stacks (TCP/IP, HTTPx, DNS).
  • Familiarity with Kubernetes, Docker and AWS/GCP.

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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