Senior DevOps Engineer – Scale Cloud Infra (Onsite Kraków)

Snatch UP Jobs

Skawina

On-site

PLN 300,000 - 520,000

Full time

1 hour ago
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Job summary

Snatch UP Jobs is seeking a Senior DevOps Engineer to join Kraków's expanding R&D team, building large-scale cloud infrastructure. You will design, scale, and optimize production systems onsite in Kraków.

You will lead the ECS-to-Kubernetes migration, implement IaC with Terraform/OpenTofu, and enhance CI/CD using GitHub Actions to improve reliability and observability of data pipelines.

Qualifications

  • 5+ years of DevOps, Infrastructure, or Cloud Engineering experience.
  • Advanced hands-on experience with AWS.
  • Strong production experience with Kubernetes/EKS.
  • Expert-level experience with Terraform and Infrastructure as Code.
  • Experience with Docker/ECS and CI/CD pipelines.
  • Scripting or programming experience with Python, Go, or TypeScript, plus Bash.
  • Strong understanding of monitoring, observability, and production reliability.
  • Strong communication and problem-solving skills.

Responsibilities

  • Support the migration from ECS Fargate to Kubernetes (EKS).
  • Build and maintain Infrastructure as Code using Terraform and OpenTofu.
  • Improve CI/CD pipelines using GitHub Actions.
  • Manage and optimize high-volume AWS infrastructure.
  • Improve system reliability, observability, security, and scalability.
  • Support data-intensive infrastructure and production environments.

Skills

AWS
Kubernetes
Terraform
OpenTofu
CI/CD
GitHub Actions
Docker
ECS/ECS
Python/Go/TypeScript
Bash
Monitoring

Tools

Terraform
OpenTofu
Kubernetes
EKS
Docker
GitHub Actions

Job description

Snatch UP Jobs is seeking a Senior DevOps Engineer to join Kraków's expanding R&D team, building large-scale cloud infrastructure. You will design, scale, and optimize production systems onsite in Kraków.

You will lead the ECS-to-Kubernetes migration, implement IaC with Terraform/OpenTofu, and enhance CI/CD using GitHub Actions to improve reliability and observability of data pipelines.

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