Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.
Meet the team
Join our Control Plane organization! We provide a self-service, automated platform that empowers Splunk engineers to build world-class services with minimal friction. You will collaborate with exceptional teams, design solutions for complex technical challenges, and grow your experience with cloud infrastructure and AI. How would you like to help us drive the future of Splunk's platform?
Your impact
As a Software Engineer, you will contribute to a large-scale codebase that deploys daily across AWS, GCP, Azure, and GovCloud environments. You will build customer-facing solutions and internal tools that allow engineering teams to manage infrastructure efficiently. Success means delivering production-ready changes, maintaining system health, and participating in team-supported on-call rotations to solve critical incidents. We are excited for you to apply AI to real-world engineering problems and help us optimize our development workflows!
- Build and maintain production services and self-service abstractions to facilitate strategic projects for thousands of customers.
- Deploy, monitor, and troubleshoot multi-cloud systems while tuning alerts to improve system visibility for 99.9% uptime.
- Develop AI-powered tools to automate engineering workflows, reducing configuration time by 20 percent.
Minimum qualifications- Meet one of the following (completed within the past 3 years or expected to be completed within the next 12 months):
-A Master's degree with 0 years of work experience; or
-A Bachelor's degree with 2 years of work experience
Qualifying education and work experience should be in Computer Science, Software Engineering, Computer Engineering, Information Technology, Mathematics, or a related field.
- Proficiency in Software Development, data structures, and algorithms, using languages such as Go, Python, or Ruby.
- Exposure to cloud infrastructure with a focus on building or scaling secure services.
- Familiarity with Infrastructure as Code (IAC) tools such as Terraform, Ansible, or Puppet.
- Foundational understanding of continuous delivery, automated testing, and system observability.
Preferred qualifications - Experience working with Kubernetes and Docker containers in production environments.
- Strong command of Unix/Linux terminal environments and shell scripting.
- Exposure to distributed programming concepts, including distributed databases and concurrency control.
- Knowledge of cloud-specific concepts such as region management, availability zones, and high-availability strategies in AWS, GCP, or Azure.
- Demonstrated initiative in owning technical projects with a proactive approach to continuous learning and mentorship.
