DevOps Manager - Data and Cloud Engineering

Job Description

Job Description

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

This Jobot Job is hosted by : Alex Millan

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Salary : $130,000 - $140,000 per year

A bit 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.

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Company Description

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