Key skills
AzureDockerJavaJavaScriptJenkinsKubernetesPythonRubyShell ScriptingGoShellAIMLHelmAzure DevOpsGitGitHubVersion ControlCI/CD
About this role
Role Overview
- Focus on several new and existing AI/ML use cases.
- Work closely with application engineers to onboard, provision, and plan infrastructure, configurations, and platform to automate the software delivery pipeline.
- Make decisions on moderately complex to complex issues regarding technical approach for project components.
- Work is performed without direction, exercise considerable latitude in determining objectives and approaches to assignments.
Requirements
- Bachelor's degree in science, engineering, or an equivalent technical field
- 3+ years’ experience implementing CI/CD pipelines using tools like Azure DevOps, Github, Jenkins to automate building, testing, and deploying applications
- 2+ years’ experience building partnerships and implementing automation solutions throughout the software delivery pipeline
- Advanced Experience using version control systems (Git, Github etc.) and branching strategies (e.g., GitFlow)
- Experience with CI/CD tools, containerization (Docker), orchestration (Kubernetes), Helm, Argo CD and pipeline-as-code
- Experience in scripting languages like Python, Shell scripting, or Ruby, and understanding programming languages such as Java, dot Net, JavaScript, or Go for automation and tool development
Tech Stack
- Azure
- Docker
- Java
- JavaScript
- Jenkins
- Kubernetes
- Python
- Ruby
- Shell Scripting
- Go
Benefits
- Medical, dental, and vision benefits
- 401(k) retirement savings plan
- Paid time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
- Short-term and long-term disability
- Life insurance
- Flexible work arrangements