[Remote] Backend Architect – AI-Enabled Platform Engineering - FTE - REMOTE WITH TRAVEL

Note: The job is a remote job and is open to candidates in USA. Dice is seeking a Backend Architect for their AI-Enabled Platform Engineering team. The role involves architecting and delivering scalable backend systems and APIs while leveraging AI technologies to enhance engineering productivity and system design.

Responsibilities

• Architect and build scalable backend systems and microservices that power workflow-driven, AI-enabled application experiences
• Design and implement API-first architectures (REST/GraphQL/event-driven) supporting modular, extensible platform capabilities
• Build systems enabling collaboration workflows, evaluation pipelines, and artifact generation/storage
• Develop a centralized system of record for structured data and domain-specific workflows
• Integrate backend services with enterprise systems, analytics platforms, and data pipelines
• Enable AI-driven workflows by designing backend orchestration layers that interact with structured and unstructured data sources
• Design and implement scalable, cloud-native backend architectures leveraging Azure services—including Azure Kubernetes Service (AKS), Azure Functions, Azure Service Bus, and Azure App Services—to build resilient, event-driven, and high-performance application platforms
• Implement security, governance, and compliance controls, including safeguards for restricted attributes and enterprise policy alignment
• Design and build systems for handling uploaded artifacts, external datasets, and document processing pipelines
• Leverage Claude AI extensively for backend engineering acceleration, debugging, system design, and documentation
• Establish and scale AI-assisted backend engineering practices to improve development, velocity and quality
• Own backend architecture decisions, ensuring scalability, resiliency, performance, and maintainability
• Operate as a deeply hands-on IC, contributing to coding, design reviews, and engineering execution
• Ensure strong engineering standards including testing, observability, reliability, and production readiness

Skills

• 15+ years of software engineering experience, including 5+ years at Architect / Principal IC level
• Proven experience designing and delivering large-scale backend and distributed systems
• Demonstrated ownership of architecture and delivery for enterprise-grade backend platforms
• Strong experience in embedded/forward-deployed engineering models collaborating with product teams
• Active hands-on backend engineer working on production-grade systems
• Extensive usage of Claude AI or equivalent AI coding assistants to accelerate backend development
• Deep expertise in backend development using Python, Java, or .NET (C#)
• Strong experience building microservices-based architectures and distributed systems
• Strong experience designing and implementing backend systems using Azure-native services, including Azure Cosmos DB for distributed data management, Azure messaging services (Service Bus/Event Grid) for event-driven architectures, and Azure Active Directory (Azure AD) for secure identity and access management
• Expertise in API-driven architectures (REST, GraphQL, event-driven systems)
• Strong knowledge of data modeling, persistence, and database systems (SQL/NoSQL)
• Experience with event-driven systems, messaging queues, and asynchronous processing
• Strong understanding of scalability, caching, performance optimization, and resiliency patterns
• Experience implementing authentication, authorization, and enterprise-grade security controls
• Proven ability to design end-to-end backend workflows spanning APIs, business logic, and data layers
• Hands-on experience with cloud-native application development backend services, and API management
• Experience integrating with enterprise systems, data pipelines, and analytics platforms
• Familiarity with designing systems that support AI-assisted workflows and intelligent application experiences
• Strong understanding of CI/CD pipelines, observability, deployment models, and performance monitoring in distributed systems
• Extensive hands-on usage of Claude AI for software development, including: Code generation and rapid prototyping, Debugging and optimization, System design exploration, Documentation and knowledge capture
• Demonstrated ability to accelerate GTM timelines using Claude AI, reducing development cycle times while maintaining high quality
• Experience establishing Claude-driven development workflows and best practices within engineering teams
• Ability to balance AI-assisted development with strong engineering judgment, ensuring maintainable, production-grade code
• Strong grounding in engineering best practices: code quality, modular architecture, testing discipline, and maintainability
• Excellent problem-solving and system design skills, with the ability to operate independently in high-ownership IC roles
• Strong communication skills, including working with product managers and stakeholders to shape technical solutions
• Certifications such as Azure / AWS / Google Cloud Platform Architect certifications
• Experience building AI-enabled backend platforms with complex workflows and integrations
• Demonstrated use of AI coding assistants to improve backend engineering productivity
• Exposure to enterprise SaaS platforms, workflow systems, or data-driven applications
• Experience working in high-velocity, embedded delivery environments

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