Architect and Design Integration Solutions: Define modern, scalable architectures that enable secure, reliable, reusable application integration services across the enterprise
Provide Technical Leadership: Offer guidance on middleware and integration technologies and microservices. Resolving issues and ensuring alignment with long-term business goals
Hands-On Design and Development: Collaborate with developers on building APIs, microservices, and middleware integrations leveraging Boomi/Mule and APIs Java, Python, Node.js, or Go
Cloud Integration Enablement: Design and implement integration patterns leveraging AWS or Azure or Google cloud services
Promote Best Practices: Establish RESTful and GraphQL API design best practices and enforce standards for API lifecycle management, versioning, pagination, rate limiting monitoring, error handling, and reusable security policies
Leverage GenAI tools like GitHub and Copilot to generate and configure code, and ensure successful deployment
Document and Share Knowledge: Produce architecture documentation and collaborate with internal technical teams to ensure design consistency and foster a culture of continuous learning
Innovate and Evolve: Stay current with emerging integration technologies and present recommendations to leadership and stakeholders

Bachelor's degree in computer science, Engineering, or a related field or equivalent, relevant work experience
At least 7 years of experience with enterprise application or data integration platforms such as, MuleSoft/ Boomi/Informatica/ IBM Integration Bus/EDI.
5+ years of experience working with microservices architecture and building or designing RESTful APIs and lifecycle management, and performance optimization
3+ years of programming experience with Python/Java/.Net/ C++/C...etc and leveraging GitHub Copilot or similar Gen AI tools to generate, configure, and refine code
2+ years of experience mentoring or guiding development teams on integration/ data architecture best practices
Knowledge of enterprise integration frameworks and architecture governance practices.
Familiarity with event-driven architecture, message queuing, or asynchronous integration patterns.
Cloud experience, preferably with AWS (Azure or GCP acceptable)
Familiarity with AI agent frameworks such as LangChain or CrewAI, and a basic understanding of LLM capabilities.
Strong ability to elicit business requirements and produce architectural solution documentation.
Exposure to Docker, Kubernetes and CI/CD pipelines using Jenkins, GitHub actions or GitLab.

Technical Architect

Key skills