DevOps Engineer

The AES Group is hiring an experienced Senior DevOps Engineer to join our growing technology team and drive enterprise-scale cloud infrastructure modernization initiatives. This is an exciting opportunity for a highly skilled DevOps professional with expertise in Terraform, Kubernetes, Python automation, and Azure cloud technologies, including Azure Databricks, to build scalable, secure, and reliable infrastructure supporting advanced AI/ML platforms.

Why Join The AES Group?

• Work on cutting-edge cloud transformation and AI/ML infrastructure projects
• Opportunity to contribute to GenAI and Azure Cognitive Services environments
• Collaborate with high-performing engineering teams on enterprise-scale initiatives
• Hybrid work flexibility based in Seattle, WA
• Long-term project engagement with strong career growth potential, * Design, deploy, and manage scalable, secure, and reliable infrastructure solutions using Terraform.
• Lead migration efforts from ARM templates and PowerShell-based provisioning to Terraform-based Infrastructure as Code (IaC).
• Develop and maintain reusable IaC modules to enable version-controlled, repeatable deployments.
• Implement, manage, and optimize Kubernetes clusters supporting containerized microservices environments.
• Partner with development teams to deploy, scale, and troubleshoot applications in Kubernetes ecosystems.
• Automate provisioning, deployment, and operational workflows using Python scripting.
• Build and maintain CI/CD pipelines to streamline software delivery and release cycles.
• Integrate infrastructure provisioning seamlessly into CI/CD workflows.
• Design and maintain scalable infrastructure environments for AI/ML and GenAI platforms.
• Deploy and manage Docker containerized applications orchestrated through Kubernetes.
• Support Azure cloud-native services, including Azure Databricks, for data engineering and AI/ML workload orchestration.
• Enable secure and efficient integration of AI/ML models into enterprise production platforms.
• Establish monitoring, logging, and alerting systems to maintain infrastructure health and performance.
• Implement security best practices to ensure compliance, governance, and data privacy standards.

• 10+ years of experience in DevOps, Infrastructure Engineering, or Cloud Platform Engineering.
• Strong hands-on expertise with Terraform, including migration from ARM/PowerShell to Terraform.
• Deep experience managing Kubernetes clusters and deploying containerized microservices.
• Strong proficiency in Python scripting for automation and workflow optimization.
• Solid experience with Docker and container orchestration technologies.
• Hands-on experience designing and maintaining CI/CD pipelines.
• Strong understanding of Infrastructure as Code (IaC) principles and best practices.
• Proven experience with Microsoft Azure cloud platform services.
• Required hands-on experience with Azure Databricks for cloud data processing and AI/ML platform integration.
• Experience designing and supporting scalable infrastructure for AI/ML environments.
• Knowledge of Azure Cognitive Services and GenAI project deployments is highly preferred.
• Strong understanding of cloud security, compliance, and monitoring frameworks.
• Excellent communication and collaboration skills in cross-functional engineering teams., * Experience working as a platform engineer in AI/ML-driven environments.
• Exposure to deployment automation for Azure Cognitive Services and GenAI workloads.
• Prior involvement in enterprise cloud modernization initiatives.