Nebius

Application Integration Developer

Nebius
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2 months ago
Remote, EMEAMid Level

Responsibilities

  • Develop and maintain API-based integrations between internal and external systems.
  • Build cloud-native services using Azure Functions, Logic Apps, API Management, and messaging services.
  • Automate system workflows, identity lifecycle processes, and data synchronization.
  • Create and maintain deployment pipelines and Terraform infrastructure-as-code for Azure deployments.
  • Troubleshoot integration issues across APIs, Azure services, and data sources.
  • Maintain technical documentation for integrations and scripts.

Requirements

  • At least 3 years of experience developing and supporting system integrations in Microsoft Azure.
  • Hands-on experience with Azure Functions, Logic Apps, Service Bus, Event Grid, API Management, and Managed Identities.
  • Proficiency in Python or C#.
  • Experience with REST APIs, webhooks, and Microsoft Graph API.
  • Experience with deployment pipelines and Terraform for Azure deployments.
  • Understanding of OAuth 2.0, OIDC, SAML, and Entra ID for secure authentication.
  • Experience designing and working with relational databases such as PostgreSQL and MSSQL.
  • Experience with Power Automate or Power Platform is a preferred qualification.
  • Azure certifications such as AZ-204, AZ-900, or AZ-104 are preferred.
  • Knowledge of Application Insights and Log Analytics is preferred.

Benefits

  • Competitive compensation.
  • Career growth and learning opportunities.
  • Flexibility and ownership.
  • Collaborative and innovative culture.
  • Opportunity to work on impactful AI projects.
  • International environment and talented teams.

Tech Stack

AzureC#Microsoft SQL ServerPostgreSQLPythonTerraform

Categories

Nebius

About Nebius

1,001-5,000 employees

Nebius builds a full-stack AI cloud offering GPU compute, storage, and tools for training and deploying ML models for startups, enterprises, and research labs. It sells consumption-based cloud infrastructure (IaaS/PaaS) and managed services tailored to generative AI workloads, including large-scale model training and inference. The company is headquartered in Amsterdam and operates as an independent provider.

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