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Splunk's Cloud Services group is looking for a Site Reliability Engineer to help lead, design and build the next generation of our large scale cloud offering. Our engineers work on core services and applications that form the primitives for our current and future cloud service offerings. Site Reliability Engineers in this role will be engaging with multiple service owners across the platform to teach and implement modern interpretations of SRE, observability, Chaos Engineering and DevOps.  This role is highly visible and impactful to the organization and will help shape Splunk's Engineering culture for years to come.

Your job, in a nutshell, is to make every team around you better...including your own!

Responsibilities:

  • Work across the organization to deliver quality products that delight Splunk's hardworking users. 
  • Lead teams of tight-knit engineers who are building a state-of-the-art, cloud-based environment for massive-scale data processing.  
  • Mentor and help new engineers to achieve more than they thought possible in an innovative and creative environment.
  • You enjoy making other teams successful and are fulfilled through the success of others.

Requirements:

  • A minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.
  • You enjoy building and running distributed systems at scale in production.
  • You understand the challenges and trade-offs to be made when building and deploying systems to production.
  • Expertise in working with container deployment and orchestration technologies at scale with knowledge of fundamentals including service discovery, deployments, monitoring, scheduling and load balancing
  • Knowledge of Kubernetes, Go and Docker preferred.
  • Deep understanding of systems programming (network stack, file system, OS services) and networking (L2 vs. L3, network architecture, VLANs, etc)
  • Knowledge of standard methodologies related to security, performance, and disaster recovery.
  • Highly skilled in identifying performance bottlenecks, identifying anomalous system behavior, and resolving root cause of service issues.
  • You've demonstrated the skills to effectively work across teams and functions to influence design, operations and deployment of highly available software
  • You work hard to make the users of Splunk's products happier every day.

Preferred Skills:

  • Experience with running multi-cluster Kubernetes environments and strong understanding of multi-tenancy and security implications.
  • Experience with development and deployment in a hosted cloud environment, preferably AWS & GCP.
  • Experience with large scale distributed cloud service development, infrastructure, traffic management and architecture.
  • Experience with distributed architectures/systems with optimized and scalable software that operates on a large number of nodes
  • You have a proven understanding of map reduce fundamentals, lambda architecture and have developed applications on systems like Spark/Flink/Hadoop and Kafka.

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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