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System Integration Engineer / AI System Integration Lead
Location
Brazil
Posted
1 day ago
Salary
0
Seniority
Senior
Job Description
System Integration Engineer / AI System Integration Lead
HopHR
• Design, develop, deploy, and maintain secure RESTful APIs using C# and .NET. • Build and support integrations across internal systems, third-party platforms, cloud services, and external agencies. • Develop API contracts, validation, data transformation, and integration workflows. • Modernize legacy integrations using API-first architectures. • Support secure backend services and maintain technical documentation. • Design and support solutions using Azure App Services, Azure Functions, Azure SQL Database, Azure Blob Storage, Azure Key Vault, and Azure Monitoring/Application Insights. • Develop secure, scalable, and resilient cloud-native services. • Monitor, troubleshoot, and support applications across Development, QA, and Production environments. • Support CI/CD pipelines and deployment automation. • Implement Zero Trust security principles for APIs and applications. • Develop authentication and authorization solutions using OAuth 2.0, OIDC, JWTs, and RBAC. • Integrate and maintain Keycloak and other enterprise IAM platforms. • Configure Keycloak realms, clients, roles, access policies, and authentication flows. • Support tenant onboarding, token validation, certificate management, and secure secret handling. • Design and support multi-tenant applications serving multiple agencies and organizations. • Implement tenant-aware routing, provisioning, and resource management. • Support onboarding of new tenants through database provisioning, identity configuration, deployment, and testing. • Automate onboarding and operational processes to improve scalability and efficiency. • Develop integrations with Microsoft SQL Server, Azure Blob Storage, Dynamics 365 Dataverse, ArcGIS, OutSystems, Google Workspace, and enterprise content management platforms. • Build synchronization services, scheduled jobs, and Azure Function-based integrations. • Support secure document management, data migration, and integration modernization initiatives. • Integrate AI-powered capabilities into enterprise applications and business processes. • Develop APIs and services that interact securely with LLM platforms and AI providers. • Collaborate with AI teams to expose enterprise data and functionality through secure APIs. • Support intelligent document processing, workflow automation, AI assistants, and Agentic AI solutions. • Maintain and enhance APIs, integration services, and Azure-hosted applications. • Troubleshoot production issues, authentication failures, integration errors, and performance bottlenecks. • Participate in deployments, releases, code reviews, and operational support. • Collaborate with business and technical stakeholders to deliver scalable solutions. • Provide technical guidance and mentorship to development teams.
Job Requirements
- 5+ years of professional software development experience using C# and .NET.
- 5+ years of experience developing RESTful APIs and integration services.
- 3+ years of experience working with Microsoft Azure cloud technologies.
- Experience designing and supporting secure enterprise applications and web services.
- Experience with enterprise Identity and Access Management (IAM) solutions and authentication protocols.
- Experience implementing OAuth 2.0, OpenID Connect (OIDC), JWT authentication, and role-based access controls.
- Experience working with Microsoft SQL Server and relational databases.
- Experience troubleshooting and supporting production systems.
- Preferred: Experience with Keycloak administration, configuration, and multi-tenant identity management.
- Preferred: Experience with Microsoft Entra ID, Okta, Auth0, Ping Identity, ForgeRock, or other IAM platforms.
- Preferred: Experience building and supporting multi-tenant applications.
- Preferred: Experience integrating Dynamics 365, ArcGIS, OutSystems, or similar enterprise platforms.
- Preferred: Experience integrating LLM APIs, AI services, or intelligent automation solutions.
- Preferred: Exposure to Agentic AI applications, AI assistants, or conversational AI platforms.
- Preferred: Experience supporting government, healthcare, or other regulated environments.
- Certifications: API, cloud, or integration platform certifications (such as Azure, MuleSoft, Boomi, Apigee, or similar), preferred.
- Certifications: AI platform, data engineering, or architecture-related certifications, preferred.
- Technical Skills: Required - C#, .NET / .NET Core.
- Technical Skills: Required - REST API Development.
- Technical Skills: Required - Azure App Services, Azure Functions, SQL Database, Blob Storage.
- Technical Skills: Required - Git.
- Technical Skills: Required - Azure DevOps or similar CI/CD platforms.
- Technical Skills: Required - JSON and XML.
- Technical Skills: Required - OAuth 2.0.
- Technical Skills: Required - OpenID Connect (OIDC).
- Technical Skills: Required - JWT Authentication.
- Technical Skills: Required - API Security Best Practices.
- Technical Skills: Required - Identity and Access Management Concepts.
- Preferred: Keycloak.
- Preferred: React.js.
- Preferred: Dynamics 365 Dataverse.
- Preferred: Docker.
- Preferred: Infrastructure as Code (Bicep, ARM, Terraform).
- Preferred: Azure OpenAI, OpenAI, Anthropic, Gemini, or other LLM platforms.
- Preferred: Agentic AI concepts and AI integration patterns.
- Other Knowledge, Skills, & Abilities: Excellent communication and collaboration skills.
- Other Knowledge, Skills, & Abilities: Strong leadership and mentoring abilities.
- Other Knowledge, Skills, & Abilities: Ability to manage multiple projects and deadlines.
- Other Knowledge, Skills, & Abilities: Strong analytical and problem-solving skills.
- Other Knowledge, Skills, & Abilities: Commitment to security, compliance, governance, and platform reliability best practices.
- Other Knowledge, Skills, & Abilities: Ability to translate business requirements into technical integration solutions.
- Other Knowledge, Skills, & Abilities: Ability to work effectively in cross-functional teams.
- Other Knowledge, Skills, & Abilities: Ability to work effectively with minimal supervision.
- Other Knowledge, Skills, & Abilities: Learns quickly and adapts to new technologies and evolving interoperability standards.
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