DevOps Manager - Data and Cloud Engineering

Job details:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
7+ years of experience in Dev Ops, 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
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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 Dev Ops capabilities to support next-generation analytics and machine learning platforms.

You’ll lead a cross-functional group of Dev Ops 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.

• Lead and scale a multidisciplinary team integrating Dev Ops, 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.

• 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, Git Hub Actions, Git Lab CI, or Azure Dev Ops).
• Expertise with Infrastructure-as-Code (Terraform, Cloud Formation, or ARM templates).
• Skilled in Python, Bash, or Power Shell 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).

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

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