Position Details
About this role
DevOps Engineer, Infrastructure & Security at Scale AI to design, develop, and maintain robust CI/CD pipelines for both lowside and highside products. You will integrate ML tasks into the SDLC and ensure security and reliability in fast-moving development environments.
Key Responsibilities
- Design, develop, and maintain robust CI/CD pipelines to automate deployment of lowside and highside products
- Collaborate with product and engineering teams to enhance application code for automated pipelines
- Contribute to deployment system architecture and drive efficiency
- Troubleshoot and resolve complex deployment issues
- Proactively incorporate security into all stages of the SDLC
Technical Overview
The role emphasizes containerization (Docker, Kubernetes), CI/CD tooling (GitHub Actions, Jenkins, Azure DevOps), and cloud platforms (AWS, Azure, GCP). Scripting in Python/Bash/PowerShell and a focus on security best practices and MLOps concepts are key.
Ideal Candidate
The ideal candidate is a mid-level DevOps Engineer with 2-3 years of experience focused on CI/CD, containerization, and cloud platforms (AWS/Azure/GCP). They excel in building automated deployment pipelines, integrating ML tasks, and operating in fast-paced environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 2 years of DevOps experience, No experience with Kubernetes or Terraform, No cloud experience (AWS/Azure/GCP)
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