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Senior DevOps Engineer

Tekaccel, IncRocklin, CA🇺🇸United StatesPosted 3 Aug 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Senior DevOps Engineer

Location: Rocklin, CA, Onsite
Client: Williams-Sonoma

Job Overview

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.

Key Responsibilities

  • 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.

Required Qualifications

  • 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.

Thanks, and Regards,

Ajay Pratap Singh
Team Lead - Recruitment

E:

Tekaccel, Inc.

2601 Little Elm Pkwy,

Suite # 1804,

Little Elm, TX 75068

Skills

Shell
MLOps
MLflow
Nagios
Ansible
Apache
Chef
Groovy
HTTPS
Jenkins
Puppet
Python

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