Senior Azure DevOps/SRE Engineer

TL;DR

Senior Azure DevOps/SRE Engineer (Azure/Kubernetes): Ensuring reliability and availability of services while supporting and maintaining cloud-native environments with an accent on DevOps/SRE practices, platform operations automation, and production troubleshooting. Focus on improving operational workflows, collaborating with engineering teams to deliver scalable solutions, and strengthening identity and access management integrations using OIDC/SAML and Keycloak.

Location: Work from the European Union region and a work permit are required

Company

Global tech company delivering cloud, data, and software solutions across multiple industries.

What you will do

• Ensure reliability and availability of services.
• Support and maintain cloud-native environments on Microsoft Azure.
• Improve platform operations and automation.
• Troubleshoot and resolve technical issues in production.
• Collaborate with engineering teams to deliver scalable solutions.

Requirements

• Work from the European Union region and have a valid work permit.
• Senior or lead-level experience as a software engineer with the ability to work independently and take ownership of complex tasks.
• Hands-on experience with DevOps and Site Reliability Engineering practices.
• Practical experience with Microsoft Azure cloud services and Kubernetes in production.
• Experience with identity and access management, including authentication protocols OIDC and SAML, plus hands-on Keycloak administration and integration.
• Fluency in written and spoken English (at least B2).

Nice to have

• Experience applying GenAI in structured SDLC workflows (defined workflows, prompt patterns, or tool integrations).
• Interest in emerging AI-driven practices (agent-based workflows, automation patterns, AI-augmented development).

Culture & Benefits

• Community-driven environment with meetups and internal tech communities.
• Growth support via Guilds, Labs, and personal development budgets for tech and soft skills.
• Modern, open-source stack and collaboration with engineering teams.
• Opportunity to work on projects across cloud, data, and AI domains.

Hiring process

• CV review and HR call.
• Interview and team/client interview.
• Final decision.