Senior Software Engineer - DevOps & Cloud Infrastructure

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 solving problems using data and seek to deliver the best experience for customers. At Splunk, we’re committed to our work, our customers, having fun, and most importantly to each other’s success. 

Splunk Observability’s Cloud Infrastructure team builds robust and resilient auto-scaling platform solutions for hosting our microservices based highly scalable platform in the Cloud. The team is fast-paced, high-velocity, and use state-of-the-art technology. The focus is always on automation, solving complex challenges that span across multiple groups within Splunk, ensuring smooth and expedient services to Splunk users.

We are looking for a Senior Software Engineer, who will work with architects to design and implement next-generation infrastructure that powers a massively scalable microservices based platform running across AWS, GCP & Azure. The ideal candidate will design and develop software towards an infrastructure tool-chain that supports various cloud technologies. Things like containerization, orchestration, Infrastructure-as-Code, Serverless computing should get the right candidate excited.


  • Designing & Building Cloud Infrastructure for Splunk’s Observability suite of products.
  • Own the seamless orchestration of the Observability platform across AWS, GCP and Azure using latest tech like kubernetes and terraform.
  • Maintain Infrastructure-as-a-Code and add to the platform tool-chain.
  • Build self-service tools that make interacting with infrastructure very user-friendly and provide high visibility into its use.
  • Design and Implement cloud usage models and best practices that allow for speed of innovation, while optimizing for efficiency as well.
  • Manage deploying products into multiple environments, multiple cloud platforms and hosted solutions.
  • Establish design patterns and best practices for building new product features and services involving cloud infrastructure.



  • 5+ years of professional software engineering experience, including large scale SaaS Infrastructure.
  • Proficiency with either Python, Go or Java in a production environment.
  • Hands-on knowledge on Kubernetes, Terraform or related Cloud Orchestration technologies and building tools around its use.
  • Hands-on knowledge on Cloud networking and features.
  • Strong communication and comprehension skills, both verbal and written.
  • Hands-on experience in deploying and operating in one or more of AWS, GCE or Azure is desired.
  • Strong understanding of Unix/Linux.


 Nice to have:

  • A BS Computer Science or Electrical Engineering or equivalent experience.
  • Exposure to the SignalFx solution or related Monitoring platforms.
  • Exposure to infrastructure tech - Terraform, Istio, Hashicorp Vault.
  • Involvement in open-source projects.
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.

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