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Salary
$64k – $71k per year
Location
Remote/Hybrid (Białystok, Poland)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Helping companies provide better employee experience - to communicate better, empower employees, measure the impact, and act faster: remote, hybrid, or onsite.

We build innovative digital products for the modern workplace in the Cloud, and we need your expertise.

Want to work on DevOps processes that power real enterprise AI systems - not just keep environments running? Join us and help build one of the first enterprise-grade MCP implementations in Poland.

As part of our team, you will:

  • Utilize your extensive knowledge of cloud computing, system integration, and software development,

  • Design and maintain cloud environments on Microsoft Azure that serve as the experimental backbone for the MCP Graph Broker,

  • Configure and validate multi-tenant isolation, load balancing, and real-time monitoring mechanisms, ensuring that research on the Orchestration Layer translates into architecturally sound, scalable solutions,

  • Design and implement algorithms for the Security & Reliability Framework for MCP - one of the first implementations of its kind for enterprise environments in Poland.

Apply if you have:

  • At least 5 years of experience in a senior or lead role, or in cloud solutions architecture,

  • Commercial experience in building scalable web applications and systems integration,

  • Experience in one of the following areas: DevOps, DevSecOps, and MLOps - deployment and monitoring in production environments using CI/CD pipelines and/or Azure ML CI/CD pipelines,

  • Familiarity with Azure services and best practices (e.g., Azure App Services, Azure Functions, Cosmos DB, Azure Search, Azure Service Bus, Azure SQL),

  • Experience in designing and executing enterprise system integrations via API (Microsoft 365 Graph API, ServiceNow REST API, OAuth2, OIDC),

  • Experience in building connectors, adapters, or integration layers,

  • Knowledge of the MCP (Model Context Protocol) protocol or similar context protocols, and practical use of machine learning tools/ML/AI APIs in production environments,

  • A solid understanding of Azure cloud services, microservices, and API management,

  • Experience with multi-tenant architecture - context isolation, resource management, and access policies in SaaS environments,

  • Strong problem-solving skills, leadership qualities, and excellent communication abilities,

  • A passion for technology and a keen eye for emerging trends,

  • Experience in building Enterprise SaaS applications,

  • Strong communication skills,

  • An eye for detail,

  • 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:

  • Practical knowledge of conversational and dialogue models (fine-tuning, RLHF, prompt engineering for LLMs) - particularly for AI assistant scenarios,

  • Experience with enterprise system integration via API (Microsoft 365 Graph API, ServiceNow REST API) in the role of connector or MCP integration developer,

  • Experience with multi-agent systems at enterprise scale,

  • Azure certifications: Developer Associate (AZ-204), Solutions Architect Expert (AZ-305), or equivalent,

  • Experience with AI model evaluation techniques - experiment design, quality assessment metrics for ML models.

We offer:

  • Salary of PLN 20,000-22,000 gross per month (employment contract), 18-month contract with the possibility of extension,

  • Work and professional development while building a distributed enterprise-class cloud system based on AI as infrastructure, not as an add-on feature,

  • Direct impact on the architecture of our own product - a platform used by hundreds of thousands of employees,

  • Opportunity to explore Azure infrastructure solutions, the latest LLMs, and MLOps tools,

  • Multi-directional professional development, certifications, and knowledge sharing,

  • Flexible work model (hybrid),

  • Benefits package (private healthcare, Multisport card).

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