Senior Backend / Platform Engineer (AI Infrastructure)

About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About The Role Our client is a Big4 Consultancy group that works with leading financial institutions on AI-driven transformation, automation, advanced analytics, and financial crime prevention. Their work spans intelligent fraud detection, AML/KYC modernization, autonomous workflows, enterprise AI platforms, and the secure industrialization of AI in highly regulated environments. We are looking for a Senior Backend / Platform Engineer to build scalable backend services and core platform components supporting production AI applications. The role focuses on microservices, APIs, cloud integration, authentication, performance optimization, and secure platform engineering across AWS and Azure environments. CONTRACT: Contractor assignment, expected October 2026 - July 2027, with potential extension COMMITMENT: Full-time LOCATIONS: Europe-based, preferably CEE; remote, with potential future hybrid work in Prague PROCESS: Initial qualification followed by technical and client interviews NOTES: Fluent English is required. Strong AWS experience is highly preferred. Responsibilities Design and build highly scalable, resilient, and secure microservices and backend APIsDevelop RESTful and GraphQL services for production-grade applicationsIntegrate business databases, third-party services, and legacy internal platforms with AI systemsOptimize backend latency, throughput, and resource allocation for real-time AI workloadsImplement enterprise-grade authentication, authorization, RBAC, and rate limitingBuild secure service-to-service integrations across cloud environmentsEstablish clean coding standards and maintain strong engineering qualityWrite comprehensive integration tests and participate in code reviewsCollaborate with AI engineers to deploy models and services in unified containerized environmentsApply Git, CI/CD, testing, and cloud engineering best practices throughout delivery Requirements 5-10 years of professional backend, platform, or software engineering experienceStrong hands-on development experience with Python and/or Node.jsProven experience building scalable, resilient, and secure cloud-based applicationsStrong experience designing RESTful or GraphQL APIs and microservicesHands-on experience with enterprise authentication, authorization, and RBACProfessional experience integrating applications with cloud-hosted services, APIs, and data platformsStrong development practices including Git, CI/CD, automated testing, and code reviewFluent professional English