DevOps Engineer

Williams-Sonoma is looking for a Senior DevOps Engineer to support and enhance enterprise DevOps, middleware, CI/CD, automation, monitoring, and application deployment capabilities. The ideal candidate will have strong hands-on experience with Jenkins, RunDeck, GitHub, Artifactory, Ansible, scripting, middleware administration, SSL/TLS, and application performance monitoring.

This role will also contribute to the implementation of AI-based solutions within on-premises environments, with a focus on model serving, MLflow tracking, and automated deployment pipelines., * Design, build, maintain, and troubleshoot end-to-end CI/CD pipelines using Jenkins, RunDeck, GitHub, and Artifactory.

• Configure and manage Jenkins projects, pipelines, and jobs for automated application deployments.
• Set up and manage Run Deck projects and jobs to automate operational and deployment activities.
• Integrate GitHub and Artifactory into CI/CD workflows to support source control, artifact management, and automated deployments.
• Develop and maintain infrastructure and application automation using Ansible.
• Work with configuration management technologies such as Ansible, Chef, or Puppet.
• Develop automation scripts using Shell, Python, Groovy, and/or ANT.
• Install, configure, administer, automate, and troubleshoot enterprise middleware environments.
• Support middleware platforms including JBoss, WebLogic, Tomcat, and Apache.
• Configure and troubleshoot Apache reverse proxy environments.
• Implement and support SSL/TLS certificates, including certificate creation and multi-domain certificates.
• Troubleshoot HTTPS, SSL/TLS, certificate, connectivity, and configuration-related issues.
• Monitor application and infrastructure performance using tools such as AppDynamics and Nagios.
• Perform application performance analysis and assist in identifying and resolving performance bottlenecks.
• Support middleware installation, configuration, patching, automation, and troubleshooting.
• Implement AI/ML solutions in on-premises environments, including model serving and operationalization.
• Support MLflow tracking and integration of ML workflows with enterprise DevOps processes.
• Build and automate deployment pipelines for AI/ML models and applications.
• Collaborate with development, application, infrastructure, and operations teams to improve deployment efficiency, reliability, and automation.
• Troubleshoot production issues and provide timely resolution for CI/CD, middleware, SSL, monitoring, and deployment-related problems.

• Strong hands-on experience in DevOps engineering, automation, and application deployment.
• Strong experience with Jenkins and CI/CD pipeline implementation.
• Experience with RunDeck for job/project automation.
• Experience with GitHub and Artifactory integration.
• Hands-on experience with Ansible; Chef or Puppet experience is also acceptable.
• Strong scripting experience with at least two of the following:

• Shell
• Python
• Groovy
• ANT

• Strong middleware experience with technologies such as:

• JBoss
• WebLogic
• Tomcat
• Apache

• Experience configuring Apache as a reverse proxy.
• Strong understanding of SSL/TLS certificates and HTTPS troubleshooting.
• Experience creating and managing multi-domain SSL certificates.
• Experience with application/infrastructure monitoring tools such as AppDynamics, Nagios, or similar.
• Experience with Application Performance Monitoring (APM) and troubleshooting.
• Hands-on experience implementing or supporting AI/ML solutions in on-premises environments.
• Knowledge of model serving, MLflow tracking, and automated AI/ML deployment pipelines.

Preferred Qualifications

• Experience integrating MLOps/AI deployment practices with traditional DevOps pipelines.
• Experience automating middleware deployments and configuration management.
• Experience supporting enterprise production environments.
• Strong troubleshooting and problem-solving skills.
• Ability to work effectively with application, development, infrastructure, and operations teams.