DevOps Manager – Lead Databricks, AWS & Azure Cloud Strategy for a High-Growth Data-Driven Organization (Hybrid TX)

About Us

Our client is a fast-growing technology company advancing the way data, cloud, and AI infrastructure power enterprise operations. With over a decade of innovation and a strong culture rooted in servant leadership, collaboration, and performance, the company is scaling its data and DevOps capabilities to support next-generation analytics and machine learning platforms.

They are seeking a DevOps Manager (Data & Cloud Engineering) to lead the team responsible for modernizing and expanding their cloud and data infrastructure across AWS and Azure. This is a strategic, hands-on leadership role focused on Databricks, CI/CD automation, infrastructure-as-code, and AI-driven data modeling. You’ll lead a cross-functional group of DevOps engineers, data engineers, and cloud architects — driving reliability, scalability, and performance across a high-impact environment.

Why Join Us?

• Lead and scale a multidisciplinary team integrating DevOps, Data Engineering, and Machine Learning Operations at enterprise scale.
• Drive the evolution of a robust Databricks ecosystem, enabling advanced analytics, AI pipelines, and real-time data workflows.
• Architect and automate cloud infrastructure across AWS and Azure to ensure performance, security, and cost efficiency.
• Join a culture that prioritizes servant leadership, collaboration, and innovation in a high-growth environment.
• Competitive compensation package including base salary, annual bonus, and equity, plus comprehensive family benefits and career advancement opportunities.

Job Details

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in DevOps, Cloud Infrastructure, or Data Engineering roles, with 3+ years in management or team leadership.
• Deep hands-on experience with Databricks for large-scale data and ML workflows, including model orchestration, pipeline management, and optimization.
• Experience fine-tuning or deploying Large Language Models (LLMs) using Databricks or similar frameworks.
• Proven expertise in AWS and Azure cloud environments.
• Strong proficiency in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps).
• Expertise with Infrastructure-as-Code (Terraform, CloudFormation, or ARM templates).
• Skilled in Python, Bash, or PowerShell for automation and deployment scripting.
• Familiarity with Docker, Kubernetes, and container orchestration in production environments.
• Experience managing data-centric environments supporting data lakes, machine learning, and real-time analytics.
• Strong understanding of security, compliance, and governance frameworks (SOC 2, HIPAA, GDPR).

Preferred

• Certifications such as AWS Certified DevOps Engineer or Azure DevOps Engineer Expert.
• Experience with MLOps, streaming data, and cloud cost optimization.
• Background in Agile/Scrum methodologies with tools like Jira or Asana.