- Company Name
- Wemanity Group
- Job Title
- Architecte API & Integration (H/F)
- Job Description
-
**Job Title:** API & Integration Platform Architect
**Role Summary:**
Design, deploy, and operate next‑generation integration platforms leveraging APIs, event‑driven architectures, automation, and AI‑assisted engineering. Guide clients in modernizing legacy integration (ESB/SFTP) to API‑first, event‑first, AI‑augmented, fully automated A2A solutions across cloud‑native and hybrid environments.
**Expectations:**
- Provide strategic architectural guidance and technical leadership.
- Deliver secure, scalable, and observable integration solutions.
- Drive adoption of automation, AI agents, and modern governance practices.
- Lead migration initiatives from legacy to modern integration stacks.
**Key Responsibilities:**
1. **Architecture & Design**
- Advise on selection, adoption, and deployment of API management platforms (e.g., Kong, Apigee, MuleSoft, Gravitee).
- Create API‑first, microservices, and event‑driven architectures (Kafka, Pub/Sub, EventBridge).
- Design cloud‑native integration services on AWS, GCP, or Azure and agentic automation workflows.
- Integrate Model Context Protocol (MCP) to expose system metadata to LLMs/AI agents.
2. **Platform Operations & Reliability**
- Operate and enhance integration/API platforms in hybrid or cloud‑native settings.
- Ensure security, reliability, and scalability of gateways, message brokers, and workflow engines.
- Implement CI/CD pipelines, GitOps, IaC (Terraform/Helm), and observability standards (metrics, logs, traces, SLAs/SLOs).
3. **Governance & Best Practices**
- Establish API governance frameworks, promote reusability and interoperability.
- Define and monitor KPIs for usage, performance, adoption, and cost optimization.
- Leverage AI tools for automated documentation, testing, discovery, and contract validation.
4. **Innovation & Technical Leadership**
- Stay ahead of trends: event‑driven integration, AI‑driven integration, serverless, edge computing.
- Evaluate and introduce modern tooling for code generation, contract testing, LLM‑based API discovery, and agentic workflow assistants.
- Provide strategic vision and guide client transformation road‑maps.
5. **Deliverables**
- End‑to‑end integration architecture blueprints (API‑first, EDA, cloud‑native).
- IaC/GitOps configuration artifacts and deployment scripts.
- API lifecycle governance documentation and standards.
- Automated test suites, CI/CD pipelines, and monitoring dashboards.
- Migration plans from legacy to modern A2A/API flows.
**Required Skills:**
- Deep expertise in API architectures, integration patterns, and distributed systems.
- Proficiency with API management/gateway solutions (Kong, Apigee, MuleSoft, Azure APIM, etc.).
- Strong knowledge of REST, GraphQL, gRPC, AsyncAPI, and message brokers (Kafka, Pub/Sub).
- Hands‑on experience with cloud‑native platforms (AWS, GCP, Azure).
- Solid understanding of CI/CD, IaC (Terraform, Helm), Kubernetes, DevOps/SRE practices.
- Ability to design secure, scalable, and observable integration platforms.
- Familiarity with MCP, agentic architectures, and AI‑driven workflow automation (preferred).
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent professional experience).
- Relevant certifications (e.g., AWS Certified Solutions Architect, Google Professional Cloud Architect, Azure Solutions Architect, or API Management vendor certifications) are a plus.