Remote job
Senior Software Engineer – Splunk Framework & Runtime Services
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About this role
Role overview Build foundational tools and services that help engineering teams develop, deploy, and operate applications across multi-tenant Kubernetes environments. The work spans public cloud and on-premises infrastructure, with a focus on making service onboarding more consistent, improving developer productivity, and supporting reliable platform operations.
Responsibilities - Develop backend services, APIs, tools, and frameworks in Go or Python for application development and deployment. - Improve platform capabilities for workloads running across public clouds and on-premises environments. - Work with engineering teams to identify recurring development and deployment needs and provide reusable solutions. - Contribute to architecture, technical designs, code reviews, testing, and production troubleshooting. - Join a scheduled, compensated on-call rotation and help improve platform reliability. - Partner across engineering teams, contribute to technical roadmaps, mentor colleagues, and explore AI-assisted workflow improvements.
Requirements - Bachelor’s degree with 7+ years of related experience, master’s with 4+ years, or doctorate with 1+ year. - At least four years developing production backend software or infrastructure tooling in Go or Python. - Experience deploying, configuring, or troubleshooting Kubernetes workloads in production. - Experience with distributed systems, shared infrastructure tools, or internal developer platforms used by multiple services or teams. - Experience deploying or operating applications or infrastructure on AWS, Google Cloud, or Azure.
Nice to have - Experience with Python automation, reusable developer frameworks, self-service tools, CI/CD, or infrastructure automation. - Familiarity with networking concepts and service-to-service communication.
Benefits and work setup - Remote role within the United States, with a location preference excluding several states and the District of Columbia. - Includes scheduled, compensated on-call support.