Senior DevOps Engineer

Job Title: Senior DevOps Engineer Location: Remote - USA 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 Key Responsibilities: 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. Required Skills & Qualifications: 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. Preferred Qualifications: 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. Ready to make an impact? Apply now and join us on our journey!