CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right--whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
Job Summary We are seeking an Application Developer who offers end-to-end solutions and technical expertise to help improve businesses to meet ever-changing demands in the market. This is a Full-time and Hybrid position.
What You'll Do
Architect and implement a scalable, reusable API framework to integrate enterprise-wide systems.
Partner with cross-functional teams Database, AI, high-code, infrastructure, and low-code to own the full SDLC and ensure top-quality delivery.
Champion innovation each quarter by proposing new ideas and building proof-of-concepts ; make sure they are aligned with business objectives.
Take end-to-end ownership of deliverables, anticipating challenges and proactively mitigating risks.
Adapt quickly and continuously learn new tools and technologies.
Work as an API developer to fulfill requirements driven by business requirements.
Should own the full API Lifecycle, keep track of API usage, versions and decommission/deprecate the one not being used.
Understanding of integration between various applications using platforms such as MuleSoft Any point Platform, Logic App, Azure API Management.
Keep track of recent product features/announcements.
Support applications with an understanding of system integration, test planning, scripting, and troubleshooting.
What You'll Need
Should have experience working in On-premises, AWS, Azure cloud services and have understanding of different deployment topologies.
Experience working in API gateway platforms such as MuleSoft Flex Gateway, APIGEE, Azure API Management.
Should have experience in applying/govern security policies. Proficient in designing and implementing comprehensive unit and API testing using Nunit and Robot Framework.
Understanding of AI agent architecture terminologies such as RAG, MCP, A2A and their usages in automating workflows and enabling AI-assisted software development.
Foundational knowledge of MCP (Model Context Protocols), A2A (Agent to Agent)/ACP protocols for securely exposing MCP and A2A specification for web applications to consume.
Experience in API layer like security, custom analytics, throttling, caching, logging, monetization, request, and response modifications etc.
Experience in creating REST API documentation using Swagger and YAML or similar tools desirable
Experience with Security frameworks (e.g., JWT, OAUTH2) for securing APIs with Open ID connect and Multi factor Authentication.
Experience with Azure DEVOPS is plus.
Keen interest in exploring cloud technologies (AWS & Azure).
Excellent communication, interpersonal and presentation skills
Physical Demands
This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc.
Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor.
Reasonable accommodation statement
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111.
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