Senior DevOps Engineer/Lead

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Company: Diamondpick

Location: Dallas, TX 75217

Description:

Responsibilities
Collaborate closely with development and security teams to integrate security best practices into the software development lifecycle.
Experience with containerization technologies such as Docker and Kubernetes.
Relevant certifications (stands out): AWS Certified DevOps Engineer, AWS Cloud Solutions Architect etc.
Contribute to the continuous improvement of our DevOps processes and infrastructure.
Stay abreast of the latest DevOps technologies, tools, and best practices.
Implement and manage Data Loss Prevention (DLP) solutions to protect sensitive data and ensure compliance with industry regulations. (nice to have)

What you'll bring

Must-Have Qualifications (Mandatory Required Skills & Experience)
10+ years of experience in designing, implementing, and manage CI/CD pipelines using Git, YML, GitHub Actions(1-3 years) ,Terraform and Other DevOps/CI/CD tools.
Develop and maintain advanced GitHub automations to streamline workflows and improve efficiency across various applications.
Act as Tech Lead for the team, overseeing Senior DevOps Engineers with experience in CI/CD pipelines, GitHub Actions, Python, Typescript and MLOps pipelines.
Monitor and troubleshoot automation workflows to optimize performance, identify and resolve issues, and ensure high reliability.
Expertise in Python and Typescript for automating various tasks, improving efficiency and reducing manual effort.
Work with MLOps (1+ years) tools and methodologies to support the deployment, monitoring, and maintenance of machine learning models.
10+ years of experience in designing, implementing, and manage CI/CD pipelines using Git, YML, GitHub Actions(2-5 years) ,Terraform and Other DevOps/CI/CD tools.
Develop and maintain advanced GitHub automations to streamline workflows and improve efficiency across various applications.
Act as Tech Lead for the team, overseeing Senior DevOps Engineers with experience in CI/CD pipelines, GitHub Actions, Python, Typescript and MLOps pipelines.
Monitor and troubleshoot automation workflows to optimize performance, identify and resolve issues, and ensure high reliability.
Expertise in Python and Typescript for automating various tasks, improving efficiency and reducing manual effort.
Work with MLOps (1+ years) tools and methodologies to support the deployment, monitoring, and maintenance of machine learning models.
Collaborate closely with development and security teams to integrate security best practices into the software development lifecycle.
Experience with containerization technologies such as Docker and Kubernetes.
Relevant certifications (stands out): AWS Certified DevOps Engineer, AWS Cloud Solutions Architect etc.
Contribute to the continuous improvement of our DevOps processes and infrastructure.
Stay abreast of the latest DevOps technologies, tools, and best practices.
Implement and manage Data Loss Prevention (DLP) solutions to protect sensitive data and ensure compliance with industry regulations. (nice to have)

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