Cisco · Boulder, CO, United States
Skills: Java, AWS, Docker
The application window is expected to close on: 11/19/2026This position is a hybrid role, requiring the employee to work both onsite and remotely. Candidates should be comfortable with a flexible work arrangement that balances in-office collaboration and remote work. Specific onsite days and remote days will be coordinated with the team and manager.
Meet the Team
The Edge Processor team works on a key part of the customer data journey: getting large volumes of data into Splunk and Cisco Data Fabric. Alongside developing and supporting Edge Processor, the team maintains capabilities such as Ingest Actions and contributes to MDL and innovation projects like Knowledge Graph. The work spans ongoing product needs and new ideas, combining customer-focused problem solving with a drive to explore what’s next. Team members collaborate on high-impact challenges and build technology that matters in customer environments.
Your Impact
Develop and support data ingestion and processing solutions that enable customers to bring data into Splunk and Cisco Data Fabric for AI-driven analysis. Partner with customers to understand their needs, troubleshoot issues, and resolve problems through focused debugging sessions. Collaborate with cross-functional teams throughout the full software development lifecycle to build reliable, scalable enterprise data management software. Use AI tools in your everyday work to improve how you develop, investigate, and solve problems. Succeed by helping customers get data into their platforms smoothly and dependably.
Minimum Qualifications
Bachelor’s or master’s degree in computer science, software engineering, or a related technical field. At least 3 years of professional backend software development experience, including work on distributed systems. Professional experience developing backend software in Go or Java, including concurrent applications and memory management. Experience building and scaling high-volume data systems. Hands-o …truncated… ployees par…
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