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# Senior Software Engineer, Data Pipelines

- **Company:** Cisco Systems, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $167,700 - $245,200
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Batch Processing, C++ (Programming Language), Software Quality, Computer Programming, Software Debugging, Distributed Data Store, Distributed Systems, Elasticsearch, Network Architecture, Network Protocols, Software Tools, Ansible, SQL Databases, Data Streaming, Grafana, Apache Spark, Backend, Containerization, Kubernetes, Infrastructure Automation Frameworks, Apache Flink, Apache Kafka, Terraform, Data Pipelines, Serverless Computing
- **Published:** November 7, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88213145/1

## About the Role

* Bachelors + 5 years of related experience, or Masters + 3 years of related experience, or PhD + 0 years of related experience, orequivalent related work experience
 * Experience building, operating, or debugging distributed systems or backend services that process large volumes of telemetry data daily.
 * Programming experience using Scala, C++, or Java within a production environment.
*

 * Experience designing and managing data pipelines applying real-time streaming or batch processing frameworks such as Kafka, Spark, or Flink.
 * Experience deploying and maintaining containerized workloads on Kubernetes clusters in a production environment., * Experience with SQL, distributed data stores or operating cloud-native services in production.
 * Familiarity with network telemetry, networking protocols, or large fleet-management systems.
 * Experience with Terraform, Ansible, Elasticsearch, or Grafana for automating infrastructure and monitoring workflows.
 * Contributions to open-source projects, personal systems projects, or other evidence of technical curiosity.
 * A pragmatic, organized approach to software quality, testing, and operational ownership, with strong problem-solving skills and enthusiasm for working with complex systems at scale.

## Description

In this role, you will architect and operate scalable data pipelines capable of ingesting petabyte-scale telemetry from over 25 million network devices to drive global operational insights. You will engineer resilient, high-performance distributed systems within Kubernetes environments, directly impacting the availability and reliability of critical network infrastructure. By collaborating across product and engineering teams, you will translate complex data requirements into dependable solutions that empower data-driven decision-making. You will establish robust observability standards using ELK and Grafana to proactively identify issues and streamline system recovery. You will accelerate the entire development lifecycle by integrating AI-assisted engineering tools, ensuring that every deployment meets rigorous standards for security, validation, and design excellence.