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Engineering

Senior Cloud Infrastructure Engineer - Observability

  • - No Remote
Join us as we pursue our ground-breaking 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 are committed to our work, customers, having fun, and most significantly to each other’s success.
 
The Splunk Observability Cloud provides full-fidelity monitoring and fixing across infrastructure, applications, and user interfaces, in real-time and at any scale, to help our customers keep their services reliable, innovate faster, and deliver great customer experiences. Infrastructure Software Engineers at Splunk are cloud-native systems engineers who use infrastructure-as-code, microservices, automation, and efficient design to build, operate, and scale our products.
 
Role
You will help us run one of the largest and most sophisticated cloud-scale, bigdata, and microservices platforms in the world. You will be responsible to maintain and provision the base infrastructure that runs Splunk Observability Cloud, including cloud compute platforms, managed services, Kubernetes, and required tooling. You will be a key part of the team that strives to offer a fully automated and self-serve, secure, performant, compliant, and cost-efficient Platform-as-a-Service that follows cloud-native best practices and empowers product teams to easily and quickly deploy and operate workloads. You are passionate about automation, infrastructure-as-code, microservices, and getting rid of tedious, manual tasks.
 
You will:
  • Design new services, tools, and monitoring to be implemented by the entire team.
  • Analyze the tradeoffs of the proposed design and make recommendations based on these tradeoffs.
  • Mentor new engineers to achieve more than they thought possible. You enjoy making other teams successful and are fulfilled through the success of others. 
You will work on infrastructure projects, including:
  • Adopting new cloud-native frameworks and services
  • Automating cloud provider infrastructure via Terraform, Kubernetes, and Helm
  • Developing code for tools and automation to reduce manual tasks and reduce human error
  • Establishing and documenting run books and guidelines for using the multi-cloud infrastructure and microservices platform.
  • Improve the resiliency of multi-cloud microservices platform
  • Networking, routing, and load balancing
  • Security vulnerability remediation and patching automation
  • Automating deployment of our services in new provider zones/regions
  • Designing and productionizing access tiers to provide appropriate permissions across roles
 
Qualifications
 
Must-Have:
  • Bachelors/Masters in Computer Science, Engineering, or related technical field, or equivalent practical experience.
  • 7+ years of solid hands-on cloud infrastructure experience on public cloud platforms specifically AWS or GCP.
  • 3+ years of strong hands-on experience deploying, managing, and monitoring large-scale Kubernetes clusters in the public cloud
  • Experience with Infrastructure-as-Code using Terraform and/or Helm.
  • Experience with infrastructure automation and scripting using Python and/or bash scripting.
  • Knowledge of microservices fundamentals including Service Mesh using Istio, service discovery, deployment strategies, monitoring, scheduling, and load balancing
  • Excellent problem-solving, triaging, and debugging skills in large-scale distributed systems
 
Preferred:
  • AWS Solutions Architect certification preferred.
  • CKA and HashiCorp-certified Terraform Associate certifications preferred
  • Experience with Infrastructure-as-Code using Terraform, CloudFormation, Google Deployment Manager, Packer, Pulumi, ARM, etc.
  • Experience with developing infrastructure or platform services using GoLang or Python.
  • Experience with CI/CD frameworks and Pipeline-as-Code such as Jenkins, Spinnaker, Gitlab, Argo, Artifactory, etc.
  • Exposure to monitoring tools such as Splunk, Prometheus, Grafana, ELK stack, etc. in order to build observability for large-scale microservice deployments.
  • Proven skills to effectively work across teams and functions to influence the design, operations, and deployment of highly available software.
 
We value diversity, equity, and inclusion at Splunk and are an equal employment opportunity employer. Qualified applicants receive consideration for employment without regard 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, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.


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.

We value diversity, equity, and inclusion at Splunk and are an equal employment opportunity employer. Qualified applicants receive consideration for employment without regard 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, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements. Click here to review the US Department of Labor’s EEO is The Law notice. Please click here to review Splunk’s Equal Employment Opportunity Policy Statement. If you need assistance or an accommodation to apply or during the hiring process, please let us know by completing our Accommodation Request form.

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 committed to the health and safety of our employees and customers. We comply with local, state/territory, and federal regulations to prevent the spread of COVID-19 in the countries in which we operate. Splunk provides reasonable medical, religious, or other legally required accommodations for eligible employees.

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.

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