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Sr/Lead DevOps Engineer (14+ years of exp)

MethodHub
Dallas, TX Full Time
POSTED ON 3/11/2025 CLOSED ON 3/14/2025

What are the responsibilities and job description for the Sr/Lead DevOps Engineer (14+ years of exp) position at MethodHub?

Job Details

Bisoftllc is looking for Sr/Lead DevOps Engineer

Job Description:
We are seeking a highly skilled and experienced Senior DevOps Engineer to join our growing engineering team. In this role, you will play a critical part in designing, implementing, and managing our CI/CD pipelines, driving automation across our development lifecycle, and ensuring the security and reliability of our infrastructure.
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)
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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