Gramian Consulting Group
Senior Backend / Platform Engineer (AI Infrastructure)
Be an Early Applicant
Build scalable, resilient, and secure backend microservices and APIs for production AI applications across AWS and Azure. Integrate databases, third-party services, legacy platforms, and AI systems; optimize performance for real-time workloads; implement authentication, authorization, RBAC, and rate limiting; and apply testing, CI/CD, Git, code review, and containerization best practices.
About Gramian
Requirements
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 RoleOur 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 extensions to other projects
COMMITMENT: Full-time
LOCATIONS: Europe-based, EU-authorized
PROCESS: Initial qualification followed by technical and client interviews
NOTES: Fluent English is required.
Responsibilities- Design and build highly scalable, resilient, and secure microservices and backend APIs.
- Develop RESTful and GraphQL services for production-grade applications.
- Integrate business databases, third-party services, and legacy internal platforms with AI systems.
- Optimize backend latency, throughput, and resource allocation for real-time AI workloads.
- Implement enterprise-grade authentication, authorization, RBAC, and rate limiting.
- Build secure service-to-service integrations across cloud environments.
- Establish clean coding standards and maintain strong engineering quality.
- Write comprehensive integration tests and participate in code reviews.
- Collaborate with AI engineers to deploy models and services in unified containerized environments.
- Apply Git, CI/CD, testing, and cloud engineering best practices throughout delivery.
Requirements
- 5–10 years of professional backend, platform, or software engineering experience.
- Strong hands-on development experience with Python and/or Node.js.
- Proven experience building scalable, resilient, and secure cloud-based applications.
- Strong experience designing RESTful or GraphQL APIs and microservices.
- Hands-on experience with enterprise authentication, authorization, and RBAC.
- Professional experience integrating applications with cloud-hosted services, APIs, and data platforms.
- Strong development practices including Git, CI/CD, automated testing, and code review.
- Fluent professional English.
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