Requirements
Bachelor's degree in Computer Science, Engineering, or related field.6+ years of hands-on DevOps/cloud engineering experience across AWS, Azure, and/or GCP. Strong IaC (Terraform/Ansible) and CI/CD/GitOps skills. Hands-on experience deploying and operating AI/ML workloads on cloud (model serving, MLOps, GPU infrastructure).Practical experience building observability stacks (Prometheus/Grafana, ELK/OpenSearch, Datadog, CloudWatch).Strong containers/Kubernetes experience (EKS/AKS/GKE/OpenShift) in production. Strong scripting skills (Python, Bash, PowerShell) and Windows/Linux administration. At least 3 public cloud certifications (AWS/Azure/GCP – architecture, DevOps, or ML specialty).Preferred QualificationsExperience working with large-scale open-source projects and complex build ecosystems.Knowledge of Rust and modern systems programming practices.Background in encryption, secure communications, or security-focused infrastructure.Experience designing automated testing and integration frameworks.
Description
Advansys is a dynamic solutions provider focused on delivering smart, modular, and sustainable technology solutions that enhance operations, improve customer experiences, and drive business modernization. With over 400 skilled engineers, we serve 100+ enterprise customers across 14 countries. Specialized in a wide array of premium services including Business Automation, Industrial Digitization, Low code Development, Cloud Services, Warehouse Automation & Strategic Outsourcing.Founded in 2014, Advansys is part of the INTRO Group, a private conglomerate established in 1980 with diverse investments across different business areas, oil and gas, real estate, specialized engineering, financial investment, Food & manufacturing.Role purpose:We are looking for a Senior Cloud Expert with deep, hands-on experience across DevOps, cloud infrastructure, AI/ML enablement, and observability. The role leads the design, automation, and operation of scalable, observable, AI-ready cloud platforms for customer engagements, and acts as a trusted technical advisor across the delivery lifecycle.Job description:Lead the design, implementation, and automation of multi-cloud infrastructure (AWS, Azure, GCP) using Infrastructure as Code (Terraform, Ansible).Build and operate CI/CD pipelines and GitOps workflows for application and infrastructure delivery.Design and implement full-stack observability (metrics, logs, traces) using tools such as Prometheus/Grafana, ELK/OpenSearch, Datadog, CloudWatch, or Azure Monitor.Deploy and support AI/ML workloads on cloud platforms (model hosting, MLOps pipelines, GPU/inference infrastructure) in collaboration with AI/ML teams.Own container/Kubernetes platforms (EKS, AKS, GKE, OpenShift) including scaling, security hardening, and cost optimization.Lead cloud migration, assessment, and modernization engagements end-to-end.Act as trusted technical advisor for clients on DevOps, cloud, AI/ML, and observability architecture.Define SRE practices: SLOs/SLIs, alerting strategy, and incident response runbooks.Mentor mid-level cloud engineers and contribute to the DevOps/cloud knowledge base and best practices.Support presales with technical SME input for DevOps/cloud/AI-ML/observability proposals.