Meet the Team 

Forward Deployed Software Engineering (FDSE) builds production-grade software that helps customers unlock the full value of Splunk and Cisco technologies. Working at the intersection of engineering, product, and customer success, our team develops applications, dashboards, integrations, automation, and AI-powered solutions that address complex customer challenges while creating reusable capabilities that benefit the broader ecosystem. 

Unlike traditional product engineering, FDSE engineers work close to customers, Solution Engineers, and Product teams, transforming real-world problems into scalable software. Every engagement is different, providing continuous opportunities to solve new technical challenges, explore emerging technologies, and influence the future direction of our products. We are a globally distributed team that values ownership, curiosity, collaboration, and continuous learning. 

Your Impact 

Design, develop, and deliver production-grade software solutions that help customers solve complex operational challenges while creating reusable capabilities for the broader Splunk ecosystem. 

Lead technical initiatives from discovery through production, navigating ambiguous requirements, making sound architectural decisions, and balancing rapid delivery with long-term maintainability. 

Partner directly with customers, Solution Engineers, Product Engineering, and Customer Experience teams to understand business problems, communicate technical trade-offs, and deliver solutions that create measurable customer value. 

Build modern integrations, automation, AI-enabled capabilities, and cloud-native applications by rapidly learning new technologies and applying them effectively across a wide variety of customer engagements. 

Provide technical leadership through architecture discussions, mentoring, code reviews, and engineering best practices while helping evolve reusable frameworks, engineering standards, and open-source solutions across FDSE. 

Leverage AI-assisted engineering tools - including Claude Code, Codex, or similar - to accelerate software development while maintaining ownership of quality, security, and production readiness. Where appropriate, design and deliver AI-powered capabilities and application patterns. 

Minimum Qualifications 

• Bachelor's or master's degree in computer science, Software Engineering, or a related technical field (or equivalent practical experience).  

• 6+ years of professional experience designing, developing, and delivering production-grade software applications.  

• Experience developing software using modern programming languages (Python preferred) and building applications, integrations, APIs, or cloud-native services. 

• Experience working with enterprise platforms, distributed systems, cloud technologies, or automation frameworks.  

• Experience using modern AI development tools and APIs as part of the software engineering lifecycle.  

Preferred Qualifications 

• Experience with Splunk, including developing applications, dashboards, data integrations, or operational workflows.  

• Experience building AI-enabled applications using LLMs, RAG, vector databases, AI agents, Model Context Protocol (MCP), or similar technologies.  

• Experience developing cloud-native applications using AWS, Azure, GCP, or similar platforms, including Infrastructure as Code and CI/CD practices.  

• Experience working in customer-facing engineering organizations such as Forward Deployed Engineering, Solutions Engineering, Professional Services, or Technical Consulting.  

• Excellent communication, presentation, and stakeholder management skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.  

What Makes You Successful 

We're looking for engineers who combine strong technical expertise with exceptional collaboration and customer focus. Success in this role comes from your ability to: 

• Learn new technologies quickly and apply them effectively to solve unfamiliar problems across diverse customer engagements.  

• Communicate clearly through presentations, technical discussions, documentation, and day-to-day collaboration with global teams.  

• Demonstrate strong organization, self-motivation, and ownership, managing multiple priorities independently while maintaining high engineering quality.  

• Balance pragmatic delivery with long-term engineering excellence by building secure, scalable, maintainable, and reusable solutions.  

• Build trusted relationships with customers and cross-functional stakeholders while confidently navigating ambiguous and rapidly changing environments.