**Job Description:** As a backend engineer, your role will involve designing and building RESTful and event-driven backend services in Python and/or Node.js to support multi-agent orchestration, HITL workflows, and exception routing across finance processes. You will be responsible for architecting and implementing the workflow state management layer, which includes handling execution context persistence, checkpointing, idempotent retries, and safe resume for long-running finance workflows using AWS Step Functions or equivalent. Additionally, you will implement event-driven architecture using AWS SQS, SNS, and EventBridge to decouple platform services and support asynchronous, high-throughput financial document processing. Your tasks will also include developing and maintaining APIs that expose platform capabilities to downstream consumers and front-end applications, ensuring platform observability through structured logging, distributed tracing (AWS X-Ray), and CloudWatch dashboards, and collaborating with AI engineers to integrate LLM-based services and agent outputs into backend workflows while implementing security best practices. **Key Responsibilities:** - Design and build RESTful and event-driven backend services in Python and/or Node.js - Architect and implement the workflow state management layer - Implement event-driven architecture using AWS services - Develop and maintain APIs - Ensure platform observability - Collaborate with AI engineers - Implement security best practices **Qualification Required:** - 5+ years of backend engineering experience with strong proficiency in Python and/or Node.js - Solid experience building and deploying microservices on AWS - Strong understanding of event-driven and async architecture patterns - Experience designing RESTful APIs and working with message queues - Hands-on experience with relational databases and NoSQL stores - Experience with Infrastructure as Code - Solid understanding of multi-tenancy patterns - Experience with workflow orchestration services - Strong grasp of observability fundamentals - Experience with CI/CD pipelines and container-based deployments (Note: Preferred Qualifications and additional details of the company have been omitted as they were not provided in the Job Description) **Job Description:** As a backend engineer, your role will involve designing and building RESTful and event-driven backend services in Python and/or Node.js to support multi-agent orchestration, HITL workflows, and exception routing across finance processes. You will be responsible for architecting and implementing the workflow state management layer, which includes handling execution context persistence, checkpointing, idempotent retries, and safe resume for long-running finance workflows using AWS Step Functions or equivalent. Additionally, you will implement event-driven architecture using AWS SQS, SNS, and EventBridge to decouple platform services and support asynchronous, high-throughput financial document processing. Your tasks will also include developing and maintaining APIs that expose platform capabilities to downstream consumers and front-end applications, ensuring platform observability through structured logging, distributed tracing (AWS X-Ray), and CloudWatch dashboards, and collaborating with AI engineers to integrate LLM-based services and agent outputs into backend workflows while implementing security best practices. **Key Responsibilities:** - Design and build RESTful and event-driven backend services in Python and/or Node.js - Architect and implement the workflow state management layer - Implement event-driven architecture using AWS services - Develop and maintain APIs - Ensure platform observability - Collaborate with AI engineers - Implement security best practices **Qualification Required:** - 5+ years of backend engineering experience with strong proficiency in Python and/or Node.js - Solid experience building and deploying microservices on AWS - Strong understanding of event-driven and async architecture patterns - Experience designing RESTful APIs and working with message queues - Hands-on experience with relational databases and NoSQL stores - Experience with Infrastructure as Code - Solid understanding of multi-tenancy patterns - Experience with workflow orchestration services - Strong grasp of observability fundamentals - Experience with CI/CD pipelines and container-based deployments (Note: Preferred Qualifications and additional details of the company have been omitted as they were not provided in the Job Description)