DevOps Manager - Data and Cloud Engineering
Role details
Job location
Tech stack
Job description
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.
Requirements
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.
Benefits & conditions
Competitive compensation package including base salary, annual bonus, and equity, plus comprehensive family benefits and career advancement opportunities.
