Senior DevOps Engineer - Azure, Kubernetes & Automation

Luxoft; Kraków; Presencial; PLN 180.000 - 300.000; Jornada completa

Descripción de la vacante

Luxoft in Kraków is seeking an experienced DevOps engineer who can also understand Java code. The role combines backend development awareness with strong expertise in Kubernetes, Unix/Linux, Shell/Bash and Python to drive automation, deployment, and cloud operations in Azure.

You will build and maintain CI/CD pipelines, automate deployments, monitor and scale apps on Azure, Kubernetes, and Docker, and optimize workloads on Unix/Linux systems.

Formación

• 8+ years of experience in DevOps/SRE or related roles.
• Proficiency in Java (8/11/17) and Azure cloud services.
• Strong background in CI/CD, automation, and IaC.

Responsabilidades

• Build and maintain CI/CD pipelines, ensuring reliable delivery to Azure.
• Automate deployment, monitoring, and scaling of applications (App Services, Azure SQL, Kubernetes, Docker).
• Manage and optimize workloads on Unix/Linux environments, scripting with Shell/Bash.
• Develop automation tools and scripts in Python to support DevOps processes.
• Perform troubleshooting and root cause analysis for production and development environments.
• Ensure system reliability, performance, and security across environments. Participate in code reviews and knowledge sharing with the team.

Conocimientos

DevOps/SRE experience

Java proficiency

Azure cloud services

CI/CD automation

Infrastructure as Code

Kubernetes

Unix/Linux

Shell/Bash scripting

Python for automation

Git & CI/CD tools

Herramientas

Terraform

ARM/Bicep

Ansible

Prometheus/Grafana

Docker

Azure DevOps/Jenkins

Descripción del empleo

Luxoft in Kraków is seeking an experienced DevOps engineer who can also understand Java code. The role combines backend development awareness with strong expertise in Kubernetes, Unix/Linux, Shell/Bash and Python to drive automation, deployment, and cloud operations in Azure.

You will build and maintain CI/CD pipelines, automate deployments, monitor and scale apps on Azure, Kubernetes, and Docker, and optimize workloads on Unix/Linux systems.