Staff Software Engineer

About the role

Join Splunk and help shape the future of machine data! 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, move fast, and believe that great outcomes come from collaboration, trust, and curiosity. If you’re excited by the idea of working on mission-critical 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.

What You’ll Do

• 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.

What Will Help You Succeed

• Effective communication skills and the ability to collaborate across teams and disciplines.
• A strong ownership mindset, with a proactive approach to identifying problems and driving solutions.
• Drive and resilience when working through complex, ambiguous, or high impact challenges.
• Goal orientation, with the ability to turn high-level objectives into measurable outcomes.
• Openness to change and experimentation, including curiosity and passion around AI-assisted development, automation, and operational tooling.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.