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Engineering Manager - AI / DevOps

Engineering Manager - AI / DevOps

CMK Resources, Inc.The Woodlands, TX, US
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Job Summary :

We are looking for a seasoned Engineering Manager Manager to lead and scale our cloud infrastructure and data operations. This role requires a strategic thinker with hands-on experience in AWS and Azure, and a strong background in CI / CD and DevOps, infrastructure automation, A / I, and team leadership. You will manage cross-functional teams of data engineers, data scientists, and cloud architects, driving operational excellence and innovation across our data and cloud platforms.

Key Responsibilities :

  • Lead and mentor a multidisciplinary team of DevOps engineers, data engineers, data scientists, and cloud architects.
  • Architect and implement scalable CI / CD pipelines for data and machine learning workflows.
  • Oversee cloud infrastructure management across AWS and Azure, ensuring high availability, security, and cost-efficiency.
  • Collaborate with engineering and data teams to streamline deployment processes and automate infrastructure provisioning using tools like Terraform, CloudFormation, and ARM templates.
  • Drive adoption of DevOps best practices including monitoring, logging, incident response, and performance optimization.
  • Manage version control, release management, and environment consistency across development, staging, and production.
  • Ensure compliance with data governance, security policies, and regulatory requirements.
  • Evaluate and integrate new tools and technologies to improve operational workflows and team productivity.

Required Qualifications :

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 7+ years of experience in DevOps or cloud infrastructure roles, with 3+ years in a leadership or managerial capacity.
  • Proven experience with AWS and Azure cloud platforms.
  • Strong knowledge of CI / CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
  • Proficiency in scripting languages (e.g., Python, Bash, PowerShell) and infrastructure-as-code.
  • Experience managing data-centric environments, including support for data pipelines, ML models, and analytics platforms.
  • Familiarity with containerization and orchestration tools like Docker and Kubernetes.
  • Preferred Qualifications :

  • Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, or similar.
  • Experience with ML Ops, data lake architectures, and real-time data streaming.
  • Knowledge of security frameworks and compliance standards (e.g., SOC 2, HIPAA, GDPR).
  • Background in Agile / Scrum methodologies and project management tools like Jira or Asana.
  • Soft Skills :

  • Strong leadership and team-building capabilities.
  • Excellent communication and stakeholder management.
  • Strategic mindset with a hands-on approach to problem-solving.
  • Ability to thrive in a fast-paced, evolving environment.
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