Senior DevOps

Luxoft; Kraków; Presencial; PLN 180 000 - 320 000; Tempo integral

Resumo da oferta

Luxoft is seeking an experienced DevOps engineer with JAVA familiarity for Azure-driven automation across modern and legacy tech, focusing on CI/CD and operations.

Responsibilities include building pipelines, automating deployments, monitoring, and scaling with Kubernetes, Docker, Unix/Linux, Shell/Bash, and Python.

The role requires 8+ years in DevOps/SRE, Azure, IaC (Terraform/ARM/Bicep), and strong debugging across distributed systems.

Qualificações

• 8+ years of experience in DevOps, SRE, or related roles.
• Proficiency in Java (8/11/17) or strong Java familiarity.
• Hands-on experience with Azure cloud services, including deployment and monitoring.
• Strong background in DevOps practices: CI/CD, automation, infrastructure as code.
• Hands-on experience with Infrastructure as Code (Terraform, ARM, Bicep, or similar).
• Proficiency with Kubernetes for orchestration and scaling.
• Experience with Unix/Linux systems, Shell/Bash scripting.
• Knowledge of Python for automation and tooling.
• Strong troubleshooting and problem-solving skills, ability to debug across distributed systems.
• Proficiency with Git and CI/CD tools (Azure DevOps, Jenkins, etc.).

Responsabilidades

• Build and maintain CI/CD pipelines, ensuring reliable delivery to Azure.
• Automate deployment, monitoring, and scaling of applications (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.

Conhecimentos

DevOps engineering

Azure

Kubernetes

Unix/Linux

Shell/Bash

Python

Terraform

CI/CD

Java familiarity

Docker

Troubleshooting

Git

Ferramentas

Azure DevOps

Jenkins

Terraform

ARM/Bicep

Docker

Descrição da oferta de emprego

We are looking for an experienced DevOps engineer who is also able to understand JAVA code if needed. The ideal candidate is comfortable working with both modern frameworks and legacy technologies, while also driving automation, deployment, and cloud operations in Azure. In addition to backend development, this role requires solid knowledge of Kubernetes, Unix systems, Shell/Bash, and Python, as well as strong troubleshooting skills to quickly analyze and resolve issues in complex environments.

Responsibilities:

• 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.

Mandatory Skills Description:

• 8+ years of experience in DevOps, SRE, or related roles.
• Proficiency in Java (8/11/17).
• Hands-on experience with Azure cloud services, including deployment and monitoring.
• Strong background in DevOps practices: CI/CD, automation, infrastructure as code.
• Hands-on experience with Infrastructure as Code (Terraform, ARM, Bicep ,or similar).
• Proficiency with Kubernetes for orchestration and scaling.
• Experience with Unix/Linux systems, Shell/Bash scripting.
• Knowledge of Python for automation and tooling.
• Strong troubleshooting and problem-solving skills, ability to debug across distributed systems.
• Proficiency with Git and CI/CD tools (Azure DevOps, Jenkins, etc.).

Nice-to-Have Skills Description:

• Exposure to infrastructure-as-code tools (Terraform, Ansible, Bicep).
• Experience setting up monitoring and logging (Prometheus, Grafana, ELK, Azure Monitor).