Software Engineer II (Full-Time) - United States
Company: 521 Cisco Systems Internetworking (Ireland) Limited
Location: RTP, North Carolina, US (Remote)
Salary: $101.5k - $144.5k per year
Type: Full-time
Remote: Yes
Posted: 2026-07-17
About this role
The application window is expected to close on: 07/20/2026
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
The application window is expected to close on: 7/20/2026
Meet the Team:
At Splunk, we’re driven by a bold vision: to make machine data accessible, usable, and valuable to everyone. We’re a team of passionate builders who care deeply about our customers, our technology, and each other’s success. We work hard, adapt quickly, and believe that great outcomes come from collaboration, trust, and curiosity. If you’re excited by the idea of working on critically important systems that deliver real customer impact and want to be part of a growing company redefining how organizations use data to make decisions - we’d love to talk with you about the team. Our team builds and operates large-scale services that orchestrate updates and changes across customer environments in Splunk Cloud. We work at significant scale across AWS, GCP, and Kubernetes, supporting both traditional and containerized workloads. This is an opportunity to apply deep cloud and distributed systems expertise while driving the next generation of automation that powers Splunk Cloud. Our work directly influences reliability, scalability, and customer trust, and we are continuously evolving how we build, deploy, and operate systems at scale
Your Impact:
- Own features end-to-end across the complete software development lifecycle including AI, spanning requirements gathering, technical design, implementation, testing, automation, deployment, and ongoing operational ownership in production.
- Translate customer and business needs into clear technical solutions, making thoughtful trade-offs that balance speed, quality, and reliability.
- Design, build, and maintain highly scalable, distributed systems that handle large volumes of data.
- Identify and resolve pre-production bottlenecks and production issues, improvin...