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# Senior Software Engineer - Splunk Framework & Runtime Services

- **Company:** Cisco Systems, Inc.
- **Location:** Appleton, WI, United States
- **Experience:** Expert
- **Salary:** $139,300 - $203,600
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Code Review, Computer Networks, Databases, System Configuration, Distributed Systems, Python (Programming Language), Service Development Studio, Software Engineering, Google Cloud, Cloud Platform System, Backend, Build Management, Kubernetes, Infrastructure Automation Frameworks, Storage Technologies, Deployment Automation, Splunk, Golang
- **Published:** November 14, 2026
- **Apply:** https://dejobs.org/x/x/B4FCFD4262994831A1F923DEEB9B45CF/job/

## About the Role

* Bachelor's degree with 7+ years of related experience, Master's degree with 4+ years of related experience, or PhD with 1+ year of related experience.
 * 4+ years of experience developing backend software using Go (Golang) or Python, including designing, implementing, and maintaining production services or infrastructure tooling.
 * Experience working with Kubernetes, including deploying, configuring, or troubleshooting containerized applications in production environments.
 * Experience developing or maintaining distributed systems, internal developer platforms, or shared infrastructure tooling used by multiple services or engineering team.
 * Experience working with at least one public cloud platform (AWS, Google Cloud Platform, or Microsoft Azure), including deploying or operating cloud-based applications or infrastructure.

Preferred Qualifications

 * Experience developing backend applications, automation, or infrastructure tooling using Python.
 * Experience building reusable developer frameworks, self-service tooling, CI/CD pipelines, or infrastructure automation to improve developer productivity and service onboarding.
 * Experience with networking concepts, service-to-service communication, databases, or storage technologies in distributed and cloud-native environments.
 * Experience using AI-assisted development tools or automation to support software development, testing, troubleshooting, or other stages of the software development lifecycle.

## Description

Join Splunk's Framework & Runtime Services team, where we're building the next generation of internal developer platforms that power Splunk Cloud. Our team focuses on making it easier for engineering teams to build, deploy, and manage services across multi-tenant Kubernetes environments, spanning public clouds and on-premises infrastructure.

As Splunk continues to modernize its platform and expand Kubernetes-based deployments, our work plays a critical role in improving developer productivity, simplifying service onboarding, and accelerating the delivery of new capabilities to customers. Our tooling and frameworks have already helped enable the deployment of more than 70 services, reducing manual effort and operational complexity.

We're a collaborative team that values technical ownership, knowledge sharing, and practical problem-solving. You'll have the opportunity to work on high-impact engineering challenges, influence platform architecture, and build solutions adopted by teams across Splunk. If you enjoy creating tools and platforms that make other engineers more productive, we'd love to hear from you., As a Senior Software Engineer on the Framework & Runtime Services team, you'll design and develop the foundational tools, frameworks, and services that enable Splunk engineering teams to build and deploy applications efficiently at scale. You'll work on distributed systems and Kubernetes-based infrastructure, helping simplify how services are developed, deployed, and operated across cloud and on-premises environments. Your contributions will directly influence developer productivity, platform reliability, and the speed at which Splunk delivers new capabilities.

 * Design and build scalable developer platforms: Develop backend services, APIs, tools, and frameworks using Go and Python to simplify service development, onboarding, and deployment across multi-tenant Kubernetes environments.
 * Advance cloud-native infrastructure: Build and enhance platform capabilities that support workloads across AWS, GCP, Azure, and on-premises environments, improving deployment automation, consistency, and scalability.
 * Improve developer productivity: Collaborate with engineering teams to identify common development and deployment challenges, create reusable solutions, and reduce the time and effort required to bring new services into production.
 * Drive technical excellence and reliability: Contribute to architecture discussions, technical design documents, code reviews, testing, and production troubleshooting. Participate in a scheduled, compensated on-call rotation to support platform reliability and continuous improvement.
 * Collaborate and influence engineering practices: Partner with cross-functional engineering teams, contribute to technical roadmaps, mentor fellow engineers, and explore AI-assisted development tools and automation to improve engineering workflows and productivity.