DevOps Manager - Data and Cloud Engineering

Jobot; The Woodlands (TX); On-site; USD 130,000 - 140,000; Full time

Benefits offered by this job

Competitive compensation package

Annual bonus

Comprehensive family benefits

Career advancement opportunities

Job summary

A fast-growing technology company is looking for a leader to drive their DevOps, Data Engineering, and Machine Learning Operations. This role requires deep expertise in Databricks and extensive experience in AWS and Azure cloud environments. You will modernize and expand cloud infrastructure, ensuring reliability and performance. Competitive compensation upfront includes a salary range of $130,000 - $140,000, along with additional benefits like annual bonuses and family benefits.

Qualifications

• Deep hands-on experience with Databricks for large-scale data and ML workflows.
• Experience deploying Large Language Models using Databricks or similar frameworks.
• Proven expertise in AWS and Azure cloud environments.

Responsibilities

• Lead a multidisciplinary team integrating DevOps, Data Engineering, and Machine Learning Operations.
• Drive modernization of cloud and data infrastructure across AWS and Azure.
• Hands-on leadership on Databricks, CI/CD automation, and infrastructure-as-code.

Skills

Databricks

AWS

Azure

CI/CD Tools

Infrastructure-as-Code

Python

Bash

PowerShell

Docker

Kubernetes

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Tools

Terraform

CloudFormation

ARM templates

Job description

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.
Salary: $130,000 - $140,000 per year
This Jobot Job is hosted by: Charles Simmons
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.

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.

Responsibilities

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. The role focuses on modernizing and expanding cloud and data infrastructure across AWS and Azure, with hands‑on leadership on Databricks, CI/CD automation, infrastructure-as-code, and AI-driven data modeling.

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.

Qualifications

• 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 such as Jira or Asana.

Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.