374 devops English-speaking jobs in Wrocław

Collaborate closely with cross-functional teams in Agile and DevOps environments.

automation systems Strong hands-on experience with: AI agents / pipelines / workflows Solid MLOps / DevOps

in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps

to AI/ML-powered products Experience working without heavy PM structure Python or Ruby familiarity DevOps

You’ll thrive here if you enjoy the intersection of high-scale backend architecture and streamlined DevOps

to AI/ML-powered products Experience working without heavy PM structure Python or Ruby familiarity DevOps

with AWS services (S3, SQS/SNS, EC2, ECS) Experience with CI/CD pipelines, continuous delivery, and DevOps

PPG, ensuring sound engineering practices.Maintain and enhance the global ServiceNow platform using DevOps

Familiarity with DevOps practices and CI/CD pipelines. ... Collaborate with cross‑functional teams, including Product, UX/UI, and DevOps, to drive innovation and

related to Azure services and infrastructure.Automate deployment and management processes using Azure DevOps ... as Terraform, Ansible or Azure Resource Manager (ARM) templates.Familiarity with CI/CD pipelines and DevOps

operating systems; Strong knowledge of WPF and WinForms; Strong knowledge of integrations such as Azure DevOps

reporting processes Experience with cloud environments (AWS/Azure/GCP) Familiarity with CI/CD pipelines and DevOps

AWS (EKS, SQS, SNS)Create world-class solutions using microservices-based architectures utilizing the DevOps

in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps

Knowledge of LCS/Azure DevOps.

TypeScript , and ReactJS ; - Understanding of observability and familiarity with strong CI/CD practices ; - DevOps

Experience with Azure DevOps tooling is an additional advantage.

We enthusiastically institute solutions in the fields of DevOps, SRE, low code, broadly understood Automation

Data Engineering, or a related field2+ years of professional experience in ML Engineering, MLOps, or DevOps

Understanding of DevOps practices and tools ✅Qualifications: Bachelor's degree in Computer Science