Senior Systems Engineer - Remote Distributed Data Pipelines

020 Cisco Systems, Inc.; Boulder (CO); Hybrid; USD 139,000 - 204,000; Full time

Benefits offered by this job

Hybrid/Remote work

Medical, dental and vision insurance

401(k) with Cisco matching

Paid time off and holidays

Job summary

Cisco in Boulder is seeking an accomplished backend engineer to own the Ingest Processor pipelines that power the Splunk integration platform. You will design and scale distributed systems, optimize concurrency and memory usage, and partner with product and platform leadership to align engineering with business needs.

You will mentor engineers, raise the bar on code quality and testing, and champion adoption of new technologies to keep our data infrastructure reliable, elastic, and ahead of

Qualifications

• Bachelor’s or Master’s in CS, SE, or related field.
• 7+ years backend distributed systems experience.
• Proficiency in Go or Java with concurrency and memory management.
• Experience with cloud-native infrastructure including Kubernetes.

Responsibilities

• Define and drive long-term ingestion pipeline strategy for performance and scalability.
• Lead design and implementation of distributed systems powering the platform.
• Partner with product and platform leadership to align engineering with business needs.
• Elevate engineering standards through code quality, testing, and best practices.
• Champion adoption of emerging technologies for large-scale data challenges.

Skills

Distributed systems

Backend development

Concurrency models

Memory management

Education

Bachelor’s or Master’s in Computer Science / Software Engineering

Tools

Go

Java

Kubernetes

Cloud-native infra

Job description

Cisco in Boulder is seeking an accomplished backend engineer to own the Ingest Processor pipelines that power the Splunk integration platform. You will design and scale distributed systems, optimize concurrency and memory usage, and partner with product and platform leadership to align engineering with business needs.

You will mentor engineers, raise the bar on code quality and testing, and champion adoption of new technologies to keep our data infrastructure reliable, elastic, and ahead of