Senior Backend Engineer

Description Senior Backend Engineer – 7+ years Role Overview Seeking a Senior Backend Engineer with strong expertise in Python, FastAPI, distributed backend systems, and Azure cloud services . This role will build and harden the platform’s API and processing layer that powers ingestion, orchestration, validation, and downstream integration for high-volume document-processing workflows. The ideal candidate brings deep experience building secure, scalable, resilient backend services in event-driven cloud-native architectures. Key Responsibilities - Design and build backend APIs and microservices using Python and FastAPI for core ATLAS platform capabilities. - Develop event-driven services and integrations across ATLAS processing flows using Azure services such as App Services, Functions, Event Grid, Service Bus, Blob Storage, Cosmos DB, and Key Vault . - Implement secure API design and service-to-service access using Microsoft Entra ID, OAuth2/JWT, managed identities, and RBAC . - Build integrations with persistence layers including Cosmos DB , relational databases, and Blob Storage, with attention to auditability, traceability, and performance. - Containerize, deploy, and support services through Docker , CI/CD pipelines, and production-grade release practices. - Instrument services with strong logging, monitoring, and observability to support performance, troubleshooting, and operational resilience. - Collaborate with frontend, platform, AI, and operations teams to deliver backend capabilities that are reusable, secure, and production-ready. Required Skills - 7+ years of backend engineering experience building production-grade services and APIs. - Strong hands-on expertise in Python and modern API frameworks such as FastAPI . - Experience designing microservices , asynchronous processing, and event-driven backend systems. - Strong experience with Azure backend services and cloud-native deployment patterns. - Solid understanding of API security , identity, access control, and secure secret management. - Hands-on experience with databases , data modeling, and performance tuning for backend services. - Experience with Docker , CI/CD, logging, monitoring, and production support practices. Preferred - Experience building backend systems for enterprise-scale, high-volume platforms. - Exposure to workflow, orchestration, or document-processing platforms is a plus. - Experience working in Agile product and engineering environments. Responsibilities Required Skills - 7+ years of backend engineering experience building production-grade services and APIs. - Strong hands-on expertise in Python and modern API frameworks such as FastAPI . - Experience designing microservices , asynchronous processing, and event-driven backend systems. - Strong experience with Azure backend services and cloud-native deployment patterns. - Solid understanding of API security , identity, access control, and secure secret management. - Hands-on experience with databases , data modeling, and performance tuning for backend services. - Experience with Docker , CI/CD, logging, monitoring, and production support practices Qualifications Key Responsibilities - Design and build backend APIs and microservices using Python and FastAPI for core ATLAS platform capabilities. - Develop event-driven services and integrations across ATLAS processing flows using Azure services such as App Services, Functions, Event Grid, Service Bus, Blob Storage, Cosmos DB, and Key Vault . - Implement secure API design and service-to-service access using Microsoft Entra ID, OAuth2/JWT, managed identities, and RBAC . - Build integrations with persistence layers including Cosmos DB , relational databases, and Blob Storage, with attention to auditability, traceability, and performance. - Containerize, deploy, and support services through Docker , CI/CD pipelines, and production-grade release practices. - Instrument services with strong logging, monitoring, and observability to support performance, troubleshooting, and operational resilience. - Collaborate with frontend, platform, AI, and operations teams to deliver backend capabilities that are reusable, secure, and production-ready. Preferred - Experience building backend systems for enterprise-scale, high-volume platforms. - Exposure to workflow, orchestration, or document-processing platforms is a plus. - Experience working in Agile product and engineering environments.