DevOps Engineer

About Aetosky Aetosky delivers AI-powered intelligence solutions for government and defense clients across Asia Pacific and the Middle East. Our engineering team builds the platforms, pipelines, and interfaces that turn complex data into decision-ready intelligence products - working at the intersection of large-scale data, modern cloud infrastructure, and applied AI. Experience: 3-8+ years Type: Full-time Location: Hanoi, Vietnam About the Role Aetosky is hiring a DevOps Engineer to build and operate the cloud infrastructure, deployment pipelines, and runtime platform that enable the team to deliver data services, APIs, and machine learning workloads reliably, securely, and at scale.

What You Will Own Design, provision, and maintain AWS cloud infrastructure using Infrastructure-as-Code practices. Build and operate Kubernetes-based platforms supporting backend APIs, data services, batch processing, and GPU workloads. Develop and maintain CI/CD pipelines for spatial APIs, platform services, and machine learning deployments. Implement observability across the platform, including logging, metrics, tracing, and alerting. Manage container build pipelines, registries, deployment automation, and repository-level access controls. Implement security controls, secrets management, and platform access policies. Optimize infrastructure performance, scalability, and cost for large-scale vector and raster data processing workloads. Create operational documentation, incident response procedures, and platform runbooks. Core Technology Stack Cloud Infrastructure: AWS, EKS, EC2, IAM, S3, CloudWatch. Containers & Orchestration: Docker, Kubernetes, autoscaling, GPU workloads. Infrastructure Automation: Terraform, IaC practices. CI/CD & Delivery: GitHub Actions, GitLab CI, Argo Workflows. Observability: Prometheus, Grafana, OpenTelemetry. Platform Security: Secrets management and access controls. Scripting & Automation: Python and Bash.

What We Are Looking For Strong experience with AWS, Kubernetes, and Docker.

Experience with Terraform and Infrastructure-as-Code.

CI/CD implementation and deployment automation experience.

Strong Python and/or Bash scripting skills.

Understanding of observability and platform reliability.

Knowledge of security and secrets management.

Professional working English.

Travel This role may require occasional travel for customer deployments, platform rollouts, operational support, or engineering collaboration activities.

Nice to Have Experience supporting GIS or geospatial platforms.

Experience with GPU workloads and ML infrastructure.

Experience with streaming systems and large-scale data processing.

Experience in Agile/Scrum environments.

First 90 Days Understand the system architectures and deployment workflows.

Take ownership of infrastructure and CI/CD processes.

Improve observability, reliability, and documentation.

Deliver measurable platform improvements.

How We Evaluate We evaluate candidates through infrastructure design discussions, Kubernetes operations knowledge, automation capabilities, troubleshooting approaches, security awareness, and operational reliability practices.

To be discussed during the hiring process.

Working in international company, with chances to travel abroad for business trips Competitive salary and leave package Health insurance International company with travel abroad experience (full travel cost borne by company) Timely and well structured social insurance payouts Leadership development opportunities and training programs Working location: 5th Floor, CT2 Building, CT14 Bac Ha, To Huu Street, Dai Mo Ward, Hanoi