> Markdown version of [/jobs/ext/4658199-software-engineer-hybrid](https://www.wearedevelopers.com/jobs/ext/4658199-software-engineer-hybrid). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer (Hybrid)

- **Company:** Cisco Systems, Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $129,000 - $256,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Engineering, Customer Data Management, Data Systems, Software Debugging, Distributed Systems, Memory Management, Graph Database, Software Engineering, Enterprise Data Management, Google Cloud, Data Ingestion, Backend, Microsoft Fabric, Containerization, Kubernetes, Information Technology, Splunk, Cisco, Docker
- **Published:** November 10, 2026
- **Apply:** https://www.builtincolorado.com/job/software-engineer-hybrid/12154051?handler=ApplyRedirect

## About the Role

* 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-on experience with cloud-native architectures, including Docker containerization or Kubernetes deployment on AWS, Azure, or Google Cloud Platform.

Preferred Qualifications

 * Experience with OpenTelemetry and knowledge graph technologies.
 * Strong analytical and problem-solving skills, including the ability to investigate complex technical issues.
 * Ability to collaborate effectively across engineering, product, and customer-facing teams.
 * Experience mentoring teammates and supporting their technical growth.
 * Adaptability and curiosity when learning new technologies and approaches..

## Description

Be an Early Applicant
Hybrid
Boulder, CO, USA
129K-256K Annually
Mid level
Hybrid
Boulder, CO, USA
129K-256K Annually
Mid level
Develop and support backend data ingestion and processing solutions for Splunk and Cisco Data Fabric. Build scalable distributed systems using Go or Java, concurrent applications, cloud-native architectures, Docker, Kubernetes, and major cloud platforms. Partner with customers to troubleshoot technical issues, collaborate across the software development lifecycle, use AI tools to improve engineering workflows, and contribute to reliable enterprise data management software.
The summary above was generated by AI
The application window is expected to close on: 11/19/2026

This 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.