Staff Software Engineer

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 a 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.

- 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, improving system resilience and performance. Participate in design and code reviews, contributing to shared engineering standards and long-term system health.

- Partner closely with product managers, SREs, and cross-functional teams to deliver meaningful customer outcomes.

- Participate in a rotating on-call schedule, diagnosing and resolving production issues to ensure reliability and customer trust.

- Mentor junior engineers and contribute to a culture of learning, ownership, and continuous improvement.

- Bachelor's degree in computer science, Engineering, or a related field, or equivalent practical experience.

- 8+ years of professional experience in software engineering and proficiency in at least one programming language, such as Go, Python, or Java.

- 5+ years of experience in the design and implementation of distributed systems, including databases, distributed file systems, concurrency control, consistency models with API communication paradigms, including REST.

- 2+ years of experience with CI/CD pipelines, Kubernetes, container ecosystems, and microservices-based architectures.

- 3+ years of experience working with public cloud providers, such as AWS, GCP, or Azure.

- 5+ years of experience with debugging, troubleshooting, and the use of observability and diagnostic tools.

- Experience developing or deploying applications using LLMs, RAG pipelines, MCP, and multi-agent frameworks.

The starting salary range posted for this position is $151,600.00 to $222,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.