Integration Specialist - 20756

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Job Overview Role Summary Our client is seeking an experienced Integration Specialist with strong API platform administration and integration development expertise. The consultant will take ownership of the design, implementation, administration, and operation of an API and integration ecosystem spanning on-premises infrastructure and Microsoft Azure. The role focuses on creating secure and reliable connectivity between internal systems, external partners, and AI/LLM services. It combines hands-on API and integration engineering with platform administration, security, infrastructure management, observability, and Model Context Protocol (MCP)-based integrations. Key Responsibilities Design, develop, and maintain REST, SOAP, and GraphQL APIs and associated integration flows. Implement message transformation, orchestration, mediation, and routing between internal and external systems. Develop reusable integration components, including policies, mediations, templates, and platform extensions. Build and integrate MCP servers and tools that expose business capabilities to LLM-based clients. Administer the API management platform across development, test, and production environments. Manage the complete API lifecycle and establish appropriate governance policies. Integrate identity, authentication, authorization, and key management providers with the API platform. Monitor and improve API performance, throughput, availability, and operational reliability. Operate the API management platform on Linux virtual machines, including supporting databases, load balancers, and high-availability configurations. Manage API workloads in Azure Kubernetes Service, including scaling, ingress, virtual networking, and observability. Apply API security controls, certificate management, rate limiting, and governance for conventional and LLM-based API consumers. Troubleshoot API platform, infrastructure, identity, MCP, and integration-flow issues. Technical Stack & Requirements API technologies: REST, SOAP, GraphQL, API gateways, lifecycle management, governance, and reusable policy components. API platform components: Gateway, Publisher, Developer Portal, Key Manager, and Traffic Manager. Security: OAuth 2.0, JWT, identity-provider integration, key management, API security, and certificate management. Cloud and containers: Microsoft Azure, Azure Kubernetes Service (AKS), kubectl, Helm, ingress, VNET, scaling, monitoring, and observability. Infrastructure: Linux virtual machines, databases, load balancers, networking, and high-availability configurations. AI and integration protocols: LLM APIs, request and token handling, streaming, rate limits, governance, and Model Context Protocol architecture. Infrastructure as code: Experience with Terraform or Bicep for Azure provisioning is advantageous. Development: Experience developing MCP servers with TypeScript, Python, or Java is advantageous. Additional assets: Custom mediators, Synapse configurations, policy extensions, Identity Server, microservices-based integration solutions, API monetization, subscription models, and AI/ML integration patterns. Qualifications & Experience Candidates must have at least four years of hands-on experience with API management platforms, together with proven experience designing and implementing APIs and integration flows. A strong understanding of core API management components—including gateways, publishing capabilities, developer portals, key management, and traffic management—is required. The role requires practical experience integrating identity and key management providers, administering Linux systems, and operating API management software on Linux virtual machines with supporting databases, load balancers, and high-availability architecture. Working knowledge of Azure Kubernetes Service and its operational tooling is also required. Candidates should understand LLM API behavior, including requests, tokens, streaming, rate limits, and governance, as well as MCP architecture, security, and troubleshooting. Solid knowledge of OAuth 2.0, JWT, API security, and certificate management is essential. API management certifications, microservices integration experience, infrastructure-as-code expertise, and exposure to AI/ML tool-use protocols are advantageous. Swedish language proficiency is considered beneficial.