DevOps Engineer

Machine Learning Technologies, LLC; Sunnyvale (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Machine Learning Technologies, LLC in Sunnyvale, CA seeks an experienced DevOps Engineer to design, build, and maintain CI/CD pipelines and infrastructure as code across Azure services. You will implement and manage ARM/Bicep/Terraform, containerization with Docker, and orchestration with Kubernetes, ensuring reliable releases and strong security.

Join a team focused on scalable cloud deployments, monitoring, and governance, collaborating with development and QA to optimize performance and cost

Qualifications

• 10+ years experience as a DevOps Engineer or similar role.
• Strong experience with Microsoft Azure and related services.
• Experience with infrastructure as code (IaC): Terraform, ARM templates, or Bicep.
• Hands-on experience with CI/CD pipeline creation and management.
• Familiarity with container technologies like Docker and Kubernetes.
• Knowledge of scripting languages such as PowerShell, Bash, or Python.
• Experience with Git and version control strategies.
• Strong understanding of cloud security, networking, and cost optimization.

Responsibilities

• Design, develop, and maintain CI/CD pipelines.
• Implement infrastructure as code using ARM, Bicep, or Terraform.
• Deploy and manage Azure cloud services (App Services, AKS, VMs, Functions).
• Monitor and improve system reliability, performance, and security.
• Automate operational processes using scripting languages.
• Manage source control systems and branching strategies.
• Implement and maintain containerization (Docker) and orchestration (Kubernetes).
• Collaborate with development and QA teams to ensure reliable releases.
• Configure and manage logging, monitoring, and alerting tools.
• Ensure compliance with security best practices and governance policies.

Skills

CI/CD processes

Azure cloud

Scripting

Git/version control

IaC

Docker

Kubernetes

Security best practices

Cost optimization

Hybrid cloud understanding

Tools

Azure DevOps

Terraform

Arm templates

Bicep

Docker

Kubernetes

Git

Job description

• Design, develop, and maintain CI/CD pipelines using Azure DevOps .
• Implement infrastructure as code using tools such as ARM templates, Bicep, or Terraform.
• Deploy and manage Azure cloud services (App Services, AKS, VMs, Functions, etc.).
• Monitor and improve system reliability, performance, and security.
• Automate operational processes using scripting languages such as PowerShell or Python.
• Manage source control systems, branching strategies, and repository maintenance.
• Implement and maintain containerization (Docker) and orchestration (Kubernetes, Azure AKS).
• Collaborate with development and QA teams to ensure consistent and reliable software releases.
• Configure and manage logging, monitoring, and alerting tools (Azure Monitor, Log Analytics, Application Insights).
• Ensure compliance with security best practices and governance policies.

Required Qualifications:

• 10+ years of experience as a DevOps Engineer or similar role.
• Strong experience with Microsoft Azure and related services.
• Experience with infrastructure as code (IaC): Terraform, ARM templates, or Bicep.
• Hands-on experience with CI/CD pipeline creation and management.
• Familiarity with container technologies like Docker and Kubernetes.
• Knowledge of scripting languages such as PowerShell, Bash, or Python.
• Experience with Git and version control strategies.
• Strong understanding of cloud security, networking, and cost optimization.

Preferred Qualifications

• Experience with hybrid cloud environments.
• Familiarity with Agile/Scrum methodologies.
• Exposure to tools like SonarQube, Nexus, Artifactory, and other DevSecOps tools.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.