Application Architect

CCC Intelligent Solutions•Chicago, IL

About The Position

CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy , creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com . The Role Our team is seeking a hands-on Application Architect with deep expertise in designing scalable, cloud-native solutions. You’ll play a key role in evolving our architecture toward modern, service-oriented, and intelligent applications leveraging Microsoft Azure and emerging AI technologies We build enterprise-class, hosted solutions that span multiple public clouds, serving hundreds of thousands of end-users. This is a great opportunity for a highly motivated architect passionate about modern software design, cloud transformation, and AI innovation. At CCC, you’ll collaborate closely with Enterprise Architecture, Cloud Engineering, DevOps, and Software Development teams in an agile environment to build secure, resilient, intelligent cloud applications at scale and aligned with our business goals.

Requirements

7+ years of professional experience in .NET application architecture, development and C# focused.
5+ years designing and deploying cloud-native solutions (Azure or AWS) using microservices, RESTful APIs, and distributed system design.
Proven experience with security protocols (OAuth2, OpenID Connect), and identity providers (Okta, Azure AD).
Practical knowledge of application security best practices (secure APIs, rate limiting, secrets management, RBAC, Managed Identities).
Hands-on troubleshooting experience across application and infrastructure layers.
Demonstrated ability to produce and present architecture artifacts (diagrams, specifications, solution blueprints).
Understanding of data integration patterns and event-driven systems (e.g., Azure Event Hub, Service Bus, Kafka).
Excellent communication and collaboration skills, with a passion for enabling cross-functional success.

Nice To Haves

Hands-on knowledge of integrating Generative AI capabilities into applications (e.g., Azure OpenAI, Semantic Kernel) and prompt engineering for business use cases.
Exposure to FinOps practices (cost optimization, performance trade-offs).
Familiarity with Zero Trust Architecture, threat modeling and advanced security reviews.

Responsibilities

Design and evolve cloud-native architectures leveraging Microsoft Azure (e.g., App Services, Azure Container apps, Azure Service Bus, Event Hubs, Azure SQL).
Define and implement predictable, resource-oriented REST APIs with strong focus on performance, security, and usability.
Take a microservice and domain-driven design (DDD) approach to decompose large business domains into well-defined services.
Apply modern architectural patterns (e.g., event-driven, CQRS, serverless) for scalable and maintainable solutions.
Partner with cross-functional teams to drive API-first development and DevOps best practices.
Prepare and present architecture artifacts such as sequence diagrams, domain models, data flow diagrams, and cloud architecture blueprints.
Provide technical leadership on cloud modernization, migration legacy systems to modern microservices strategies, and platform performance.
Incorporate Security and Compliance best practices including identity Management, access control, and encryption.
Collaborate with product and data teams to integrate AI and Generative AI capabilities (e.g., Azure OpenAI, Cognitive Services, Copilot extensibility) into core products.
Lead POCs exploring AI-driven automation, API innovation, performance tuning, and cloud modernization strategies.
Mentor developers and guide teams on cloud-native development, observability, and resiliency principles.