AI DevOps Manager

Overview

On Site
$155000
Full Time

Job Details

We're looking for a hands-on engineering leader — someone who can own strategy while staying deep in the tech, building alongside the team.. You’ll step into a high-impact Engineering Manager – AI & Automation role leading a multidisciplinary team driving AI, automation, and data lakehouse projects.

 

This is a chance to shape how infrastructure, cloud strategy, and automation scale across a complex backend environment — all while working closely with top-tier engineers, developers, and leadership.

 

Location: Onsite – The Woodlands, TX

Type: Contract-to-Hire (12 months to perm)

Focus: AI & Automation Projects | Cloud Infrastructure | Hands-on Leadership

 

What You’ll Do

  • Lead a small team engineers and specialists across data engineering, application development, and AI platform support
  • Oversee and enhance cloud environments (AWS & Azure) for data-centric operations
  • Architect, build, and manage CI/CD pipelines for both traditional apps and ML workflows
  • Implement infrastructure-as-code with tools like Terraform, CloudFormation, and ARM templates
  • Guide complex technical initiatives, from data lakehouse development to CX automation bots
  • Act as the technical voice in the room – whether it's with execs or engineers
  • Promote DevOps best practices around monitoring, observability, performance, and incident response
  • Champion team development, mentorship, and hands-on collaboration

 

Qualifications

  • 7+ years in DevOps, cloud engineering, or data infrastructure roles
  • 3+ years in a team leadership or managerial capacity
  • Experience with Databricks, ML Ops, or real-time data streaming
  • Experience with AI/ML infrastructure, data pipelines, and complex backend systems
  • Strong hands-on experience with AWS (S3, Lambda, Redshift, Glue) and Azure
  • Skilled in scripting languages like Python, Bash, or PowerShell
  • Deep understanding of CI/CD tools (e.g., GitHub Actions, Jenkins, Azure DevOps)
  • Familiarity with containerization (Docker, Kubernetes) and modern cloud architectures
  • Excels in fast-paced environments, managing multiple large initiatives at once
  • Comfortable being visibly present onsite and working closely with all levels of staff

 

Nice to Have

  • AWS or Azure DevOps certifications
  • Background with security and compliance standards (SOC 2, HIPAA, GDPR)
  • Knowledge of Agile/Scrum methodologies and tools like Jira
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