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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.
Responsibilities:
- 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.
Requirements:
- 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.
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