Senior Cloud Engineer (AI)

TL;DR

Senior Cloud Engineer (AI): Building and maintaining Azure-based cloud infrastructure for an AI-native platform research project with an accent on supporting LLMs, multi-agent systems, and enterprise-scale AI orchestration. Focus on configuring multi-tenant isolation, load balancing, and real-time monitoring mechanisms for enterprise-scale adoption.

Location: Must be able to work from Białystok or surrounding areas with a hybrid work model (at least 3 days in the office + max 2 days remote per week).

Salary: PLN 20,000–25,000 per month (net B2B) or gross (employment contract).

Company

hirify.global builds innovative digital products for the modern workplace in the Cloud.

What you will do

• Design and maintain cloud environments on Microsoft Azure for the MCP Graph Broker.
• Configure and validate multi-tenant isolation, load balancing, and real-time monitoring mechanisms.
• Prepare production-grade environments for enterprise-scale adoption across banking, retail, and public sector.

Requirements

• At least 5 years of experience in a senior or lead role in cloud solutions architecture.
• Solid understanding of Azure cloud services, microservices, and API management.
• Expertise in Agile methodologies, DevOps practices, and modern software development tools.
• Hands-on experience with multi-tenant environment configuration.
• Fluency in Polish (C1+) and English (B2+), both spoken and written.
• Ability to work from Białystok or surrounding areas; hybrid work model required (at least 3 days in the office + max 2 days remote per week).
• Higher technical education (computer science or related field).

Nice to have

• Experience with enterprise system integration via API (Microsoft 365 Graph API, ServiceNow REST API).
• Expertise and experience in implementing complex authentication flows using IdentityServer, OIDC, OpenIddict.
• Azure certifications: AI Engineer Associate (AI-102), Data Scientist Associate (DP-100), Developer Associate (AZ-204), Solutions Architect Expert (AZ-305), or equivalent.

Culture & Benefits

• Work and professional development while building a distributed enterprise-class cloud system based on AI.
• Direct impact on the architecture of a platform used by hundreds of thousands of employees.
• Opportunity to explore Azure infrastructure solutions, the latest LLMs, and MLOps tools.
• Flexible work model (hybrid).
• Benefits package (private healthcare, Multisport card).