DevOps Engineer

We are seeking DevOps Engineer
Meet the Team
Join the Silicon One team, where we are building a unified silicon architecture for web-scale and service provider networks. You will work in a multi-geography silicon organization that combines the energy and ownership of a startup with the scale and reach of us. Our engineers collaborate across ASIC, hardware board, software infrastructure, IT, and lab teams to help deliver high-performance networking technology. This is a growth-driven environment for engineers who enjoy solving infrastructure problems that directly affect development velocity and operational excellence.
Your Impact
As a DevOps Infrastructure Engineer, you will help accelerate development by building, maintaining, and improving robust, scalable, and highly stable infrastructure. Your work across CI/CD automation, infrastructure as code, observability, databases, and system optimization will directly improve the speed and reliability of software delivery. You will make it easier for engineering teams to deploy, monitor, troubleshoot, and iterate while maintaining strong operational standards. You will build and automate the systems that power software delivery:
Maintain and improve CI/CD pipelines using tools such as Jenkins and GitHub Actions, and support infrastructure as code workflows with Puppet and Ansible.
Deploy, operate, and improve containerized services using Docker, Kubernetes, and related technologies.
Develop and improve on-prem Linux images and infrastructure automation for data center and hybrid environments.
Build and operate observability systems using Prometheus, Grafana, Zabbix, ELK/OpenSearch, and related tools.
Design dashboards, alerts, and SLO/SLI frameworks that provide real-time visibility into pipelines, labs, and infrastructure.
Develop data collection pipelines and exporters to ingest metrics, logs, and traces from across the organization.
Own anomaly detection and incident-response tooling, with a focus on reducing mean time to detect and mean time to recover.
Administer MySQL and time-series data stores, including schema design, query optimization, indexing, backups, replication, disaster recovery, and capacity planning.
Partner with software, IT, and lab teams to define monitoring requirements, improve workflows, and keep runbooks, design documents, and operational documentation current.
Apply security best practices for database access, data retention, and monitoring infrastructure.