T Hub - Cloud DevOps Engineer

T-Mobile Polska; Warszawa; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Employment contract

Additional day off on the occasion of 

Medical package and life insurance

Benefit platform - you choose what you

Access to training platforms

I know Talent - training or money for

Preferential terms for products and

Job summary

T-Mobile Polska is seeking an experienced DevOps/SRE professional to deploy, operate, monitor, and continuously improve cloud-based applications and services in Warsaw. You will own operational topics, support end-to-end lifecycle, and collaborate with stakeholders to design reliable and scalable solutions.

Responsibilities include improving automation, observability, deployment processes, and tooling to increase reliability and efficiency.

Qualifications

• Hands-on experience with Microsoft Azure and/or Google Cloud Platform (GCP).
• Experience with containerized and serverless workloads, particularly Google Cloud Run or comparable Azure services.
• Experience operating and maintaining MongoDB, including configuration, monitoring, backup/restore, and troubleshooting.
• Experience with Quarkus-based applications or comparable Java microservice frameworks.
• Good understanding of Docker/OCI containers.
• Experience with CI/CD pipelines and automated deployments.
• Knowledge of Infrastructure as Code, preferably Terraform.
• Ability to work autonomously, make sound technical decisions, and drive topics independently from analysis to implementation.

Responsibilities

• Deploy, operate, monitor, and continuously improve cloud-based applications and services.
• Take ownership of operational topics, including troubleshooting, incident analysis, root-cause identification, and implementation of long-term improvements.
• Support the end-to-end application lifecycle, including requirements analysis, solution design, software development, testing, deployment, integration, security, compliance, and production support.
• Work closely with business and technical stakeholders to understand requirements and design reliable, secure, and scalable technical solutions.
• Improve automation, observability, deployment processes, and operational tooling to increase service reliability and engineering efficiency.

Job description

• Deploy, operate, monitor, and continuously improve cloud-based applications and services.


• Take ownership of operational topics, including troubleshooting, incident analysis, root-cause identification, and implementation of long-term improvements.


• Support the end-to-end application lifecycle, including requirements analysis, solution design, software development, testing, deployment, integration, security, compliance, and production support.


• Work closely with business and technical stakeholders to understand requirements and design reliable, secure, and scalable technical solutions.


• Improve automation, observability, deployment processes, and operational tooling to increase service reliability and engineering efficiency.

Our requirements:

• Hands‑on experience with Microsoft Azure and/or Google Cloud Platform (GCP).


• Experience with containerized and serverless workloads, particularly Google Cloud Run or comparable Azure services.


• Experience operating and maintaining MongoDB, including configuration, monitoring, backup/restore, and troubleshooting.


• Experience with Quarkus-based applications or comparable Java microservice frameworks.


• Good understanding of Docker/OCI containers.


• Experience with CI/CD pipelines and automated deployments.


• Knowledge of Infrastructure as Code, preferably Terraform.


• Ability to work autonomously, make sound technical decisions, and drive topics independently from analysis to implementation.

AI tools and AI-assisted engineering

• Practical experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Gemini, Claude, or comparable solutions.


• Ability to use AI tools effectively for coding, scripting, troubleshooting, log analysis, documentation, testing, and automation.


• Ability to create effective prompts and provide the appropriate technical context to AI tools.


• Ability to critically review and validate AI-generated code and recommendations rather than relying on generated output without verification.


• Understanding of security, confidentiality, and data-protection considerations when using AI tools in an enterprise environment.


• Interest in identifying opportunities to use AI to increase engineering productivity and automate repetitive DevOps activities.

What we offer:

• Employment contract


• Additional day off on the occasion of birthdays/namedays


• Medical package and life insurance


• Benefit platform - you choose what you benefit from


• Access to training platforms to improve your knowledge


• I know Talent - training or money for referring friends to work !


• Besides, with us you can count on access to our products and services at preferential terms and benefits, which you will read about below