Description
Cisco Silicon One is seeking a highly motivated and experienced DevOps Infrastructure Engineer to join our growing infrastructure team.
In this role, you will play a key part in accelerating engineering velocity by building and maintaining scalable, highly reliable infrastructure and automation.
Your work across CI/CD, infrastructure as code, databases, observability, and system optimization will directly enable our 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
Minimum Qualifications
- 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
Preferred Qualifications
- 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