Software Engineer II

Splunk Cloud Engineer

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, 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 multi-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.

Minimum Qualifications:

• Completion within the past 3 years, or current enrollment with expected completion within 12 months, of a Bachelors + 2 years of relevant experience or Master's degree program + 0 years of proven experience. Relevant fields include:
  Computer Science, Engineering, or a related field.
• Proficiency in at least one programming language, such as Go, Python, or Java.
• Proficiency with design and implementation of distributed systems, including databases, distributed file systems, concurrency control, consistency models with API communication paradigms, including REST.

Preferred Qualifications

• Experience with CI/CD pipelines, Kubernetes, container ecosystems, and microservices-based architectures.
• Experience working with public cloud providers, such as AWS, GCP, or Azure.
• Experience with debugging, solving, and the use of observability and diagnostic tools.
• Experience developing or deploying applications using LLMs, RAG pipelines, MCP, and multi-agent frameworks.