Software Engineer, Backend Developer, Software Architect

The application window is expected to close on: 11/03/2026

The Edge Processor Team serves as the foundational engine of the Splunk Integrated Data Platform, architecting and maintaining high-throughput pipelines that process petabytes of data on the customer’s edge environment. Our work sits at the critical intersection of Cisco and Splunk integration, providing the mission-critical infrastructure that powers real-time observability and security for our global enterprise customers. We are a high-performing, collaborative organization that prioritizes clean code, rigorous testing, and pragmatic architectural decision-making.

Operating in a hybrid/remote environment, we foster a culture where technical excellence and continuous learning are the standards. This role offers a unique opportunity to solve complex distributed systems challenges at a scale unmatched in the industry.

• Leading the end-to-end delivery of complex projects that span the timeline of multiple months, including the complete software development cycle:
  Understand requirements, writing system design documents, develop, test, automate and deploy software
• Set technical vision for the team, including improving the process, providing coding and design guidelines to set a high engineering standard
• Identify and resolve pre-production system bottlenecks and production issues
• Engage in design and code reviews of the product, and enhance your knowledge of customers’ experiences to prevent future problems
• Make code maintainable and the product diagnosable and serviceable
• Participate in rotating on-call duties to diagnose and solve customer issues.

• Bachelor’s Degree in Computer Science, Computer Engineering, or a related technical field and 7+ years of experience in backend software development, with a focus on large-scale distributed systems or Master's Degree with 4+ years of related experience
• Experience with Go or C++ programming language, and working with concurrency models and memory management
• Experience architecting, deploying, and scaling high-volume data processing pipelines systems
• Experience with high-performance data paths in streaming ingestion systems like Kafka, Pulsar, Spark, Elastic. Including analyzing network traffic, protocol behavior, and diagnostic data to resolve throughput, latency, and reliability issues.

• Familiarity and experience with observability platform using Open Telemetry.
• Infrastructure experience with Kubernetes and on-premise deployments.
• Ability to influence technical strategy and align stakeholders across multiple teams and organizational levels.
• Demonstrated success in leading complex engineering roadmaps from initial conception through to production.
• A strong track record of mentoring senior engineers and fostering a culture of high-performance and technical excellence.
• Advanced ability to communicate complex architectural concepts and trade-offs to both technical and non-technical stakeholders.
• A demonstrated passion for driving innovation and maintaining expertise in state-of-the-art distributed systems and data platform technologies.

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to…