DevOps Engineer - Remote Opportunities

About the Company
Brooksource is seeking a DevOps Engineer on behalf of a Fortune 200 energy client for a high-visibility Nuclear Online Work Management initiative. The program focuses on modernizing nuclear work management processes while introducing Generative AI and Agentic AI capabilities into critical operational workflows.
The solutions are being developed within the client's governed Databricks and Azure environment, with an emphasis on security, reliability, compliance, and production readiness.
About the Role
The DevOps Engineer will help establish and maintain the production infrastructure supporting the initiative's data and AI solutions. Working with engineering, data, and architecture teams, you'll automate deployments, support cloud infrastructure, and ensure applications are secure, reliable, and ready for production use.
The role involves working with enterprise CI/CD pipelines, Infrastructure as Code, Azure, Databricks, Python, Docker, and Kubernetes. Strong DevOps fundamentals and experience operating within complex, highly governed enterprise environments are priorities. You'll also need to adapt quickly to the client's established engineering, security, governance, and operational practices.
Key Responsibilities
•Build and maintain enterprise CI/CD pipelines supporting the Nuclear Online Work Management initiative.
•Automate application, infrastructure, and environment deployments using established enterprise tools.
•Collaborate with AI and data engineers to move Databricks and AI solutions into production.
•Support environment setup and implementation across Databricks, Python, Docker, and Kubernetes technologies.
•Ensure deployments comply with established engineering, security, governance, and operational standards.
•Implement and support monitoring, logging, alerting, and observability solutions.
•Troubleshoot infrastructure, deployment, integration, and production issues.
•Support reliable release management and environment configuration across enterprise systems.
•Apply appropriate security controls and operational practices throughout deployment and production support.
•Work closely with engineering and architecture teams to maintain dependable production environments.
Required Qualifications
•At least 4 years of experience in DevOps, cloud engineering, platform engineering, Site Reliability Engineering (SRE), or a related discipline within enterprise environments.
•Strong understanding of DevOps practices, including CI/CD, Git, release management, environment management, and production support.
•Hands-on experience building and maintaining enterprise CI/CD pipelines.
•Experience with Infrastructure as Code (IaC) using Terraform or similar tools.
•Practical experience with cloud infrastructure, preferably Microsoft Azure.
•Understanding of enterprise security practices, identity and access management (IAM), secrets management, networking, and change controls.
•Ability to work within established enterprise engineering processes and governance requirements.
•Strong troubleshooting and collaboration skills.
Preferred Qualifications
•Experience with Databricks or other data platforms.
•Exposure to Generative AI, large language models (LLMs), retrieval-augmented generation (RAG), or Agentic AI.
•Experience supporting AI/ML, MLOps, or data engineering workloads.
•Hands-on experience with Python, Docker, and/or Kubernetes.
•Experience working in highly governed or regulated enterprise environments, such as nuclear energy, utilities, defense, financial services, or healthcare.
Contract & Compensation
•Hourly rate: $95–$100.
•Contract duration: 3 months.
•Employment arrangement: Contract.
•Work arrangement: 100% remote.
Position Details
•Job title: DevOps Engineer (Databricks).
•Recruiting company: Brooksource.
•Client industry: Energy.
•Project: Nuclear Online Work Management modernization.
•Cloud environment: Microsoft Azure.
•Key technologies: Databricks, CI/CD, Terraform, Python, Docker, and Kubernetes.
•Project focus: Enterprise deployment automation, infrastructure support, and production readiness for AI and data solutions.

Work arrangement
Yes