DevOps Infrastructure Engineer

About This Role

This engineering role focuses on accelerating engineering velocity by building and maintaining scalable, highly reliable infrastructure and automation. The work spans CI/CD, infrastructure as code, databases, observability, and system optimization, directly enabling engineering teams to develop, test, and deliver software faster and more efficiently.

Responsibilities

• Design, build, and continuously improve scalable DevOps infrastructure and engineering workflows
• Build and maintain CI/CD pipelines using technologies such as Jenkins and GitHub Actions
• Develop and manage Infrastructure as Code and configuration management solutions using Puppet, Ansible, or similar technologies
• Deploy and orchestrate containerized services using Docker and Kubernetes
• Develop and maintain on-prem Linux infrastructure and system images
• Build and operate observability solutions using Prometheus, Grafana, Zabbix, ELK/OpenSearch, and related technologies
• Design dashboards, alerts, and SLO/SLI frameworks that provide real-time visibility into infrastructure, pipelines, and lab environments
• Develop data collection pipelines and exporters for metrics, logs, and traces across the organization
• Drive automation and tooling for anomaly detection and incident response, helping reduce MTTD and MTTR
• Partner closely with software, IT, and lab teams to understand their needs and build reliable, scalable solutions
• Establish and promote security, reliability, and operational best practices across infrastructure and data platforms
• Drive technical improvements and continuously identify opportunities to increase engineering productivity
• Create and maintain clear technical documentation, runbooks, and system design documentation

Requirements

• 3+ years of experience in DevOps, SRE, Infrastructure Engineering or a related role
• Strong Linux administration fundamentals with experience in on-prem data center or hybrid cloud environments
• Proficiency with Bash and Python for automation, tooling, and operational workflows
• Hands-on experience building or maintaining CI/CD pipelines using Jenkins, GitHub Actions, or similar
• Hands-on experience with monitoring or observability platforms such as Prometheus, Grafana, Zabbix, or similar
• Hands-on experience with containerization technologies such as Docker, Podman, Kubernetes, or similar
• Experience with configuration management, infrastructure as code, or GitOps workflows using tools such as Puppet, Ansible, ArgoCD, Flux, or similar

Nice to have:

• Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent hands-on experience
• Experience with log aggregation platforms such as ELK, OpenSearch, Loki, Splunk, or similar
• Experience working with on-premises data centers or hybrid cloud environments
• Experience designing highly available and scalable infrastructure
• Strong understanding of observability, incident management, and production reliability practices
• Experience working in large-scale engineering, lab, or hardware/software development environments

About the Company

Cisco is revolutionizing how data and infrastructure connect and protect organizations in the AI era. The company has been innovating for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds, providing customers with unparalleled security, visibility, and insights across their entire digital footprint. This position is part of Cisco’s Silicon One organization, based in Israel, which is the foundation of Cisco’s industry-leading networking hardware products.