Overview
On Site
USD 130,000.00 - 140,000.00 per year
Full Time
Skills
Data Modeling
Scalability
Advanced Analytics
Leadership
Collaboration
Innovation
Computer Science
IaaS
Data Engineering
Team Leadership
Workflow
Pipeline Management
Large Language Models (LLMs)
Databricks
Continuous Delivery
Jenkins
GitHub
GitLab
Continuous Integration
Terraform
ARM
Python
Bash
Windows PowerShell
Scripting
Docker
Kubernetes
Orchestration
Management
Machine Learning (ML)
Real-time
Analytics
Regulatory Compliance
System On A Chip
HIPAA
Amazon Web Services
Microsoft Azure
DevOps
Machine Learning Operations (ML Ops)
Streaming
Cloud Computing
Optimization
Agile
Scrum
JIRA
Asana
Military
SAP BASIS
Authorization
Law
LOS
Recruiting
Legal
Artificial Intelligence
Privacy
Job Details
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
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
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.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy
This Jobot Job is hosted by: Alex Millan
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
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.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.