Remote Senior DevOps Engineer — Multi-Cloud, K8s, Terraform

Kocoa Technologies Pvt Ltd; Polska; Hybrid; PLN 49,000 - 74,000; Full time

Job summary

Conqr AI is seeking a DevOps Engineer to design, build, and operate scalable cloud infrastructure across multiple clouds. You will own CI/CD pipelines and manage GPU-enabled workloads for ML deployments in enterprise environments.

The role emphasizes reliability, security, and observability, with remote work options and collaboration with ML and security teams to enhance scale and resilience.

Qualifications

• 3+ years of DevOps, SRE, or cloud infrastructure experience.
• Hands-on with AWS, GCP, and/or Azure.
• Proficient with Docker & Kubernetes.
• Experience building and managing CI/CD pipelines.
• Infra as Code with Terraform.
• Git, GitHub Actions, or similar tools.
• Knowledge of monitoring, logging, and observability.
• Production infra reliability and scalability focus.
• Networking, VPCs, security groups, cloud-native services.
• English written and verbal communication skills.

Responsibilities

• Design, build, and operate infrastructure across AWS, GCP, and Azure.
• Optimize cloud environments for performance, reliability, and cost.
• Own CI/CD pipelines from code integration to deployment.
• Implement and maintain Terraform-based infrastructure as code.
• Containerize and orchestrate services with Docker and Kubernetes.
• Manage GPU-enabled infrastructure for AI model training and inference.
• Build and maintain monitoring, logging, and alerting systems.
• Support private, VPC-isolated enterprise deployments with strong security.

Skills

Cloud platforms

CI/CD

Monitoring & observability

Networking (VPCs)

Security & audit

English communication

Troubleshooting

GPU ML workloads

Tools

Docker

Kubernetes

Terraform

Git/GitHub Actions

Git

Job description

Conqr AI is seeking a DevOps Engineer to design, build, and operate scalable cloud infrastructure across multiple clouds. You will own CI/CD pipelines and manage GPU-enabled workloads for ML deployments in enterprise environments.

The role emphasizes reliability, security, and observability, with remote work options and collaboration with ML and security teams to enhance scale and resilience.