Staff Software Engineer

Cisco, including its Splunk team, builds secure, scalable technology that connects and protects organizations in the AI era. The Staff Software Engineer will own features across the full software development lifecycle, design and operate large-scale distributed cloud systems, resolve production issues, and partner with cross-functional teams to deliver reliable customer outcomes.

Responsibilities:

• 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

Requirements:

• 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