Senior Backend / Platform Engineer (AI Infrastructure)

Gramian Consulting

France

Sur place

EUR 70 000 - 100 000

Plein temps

Il y a 6 jours
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Résumé du poste

Gramian Consultancy partners with a Big4 consultancy to deliver AI-driven transformation for leading financial institutions. You will design and build scalable microservices and backend APIs, integrating AI systems with enterprise data and cloud services.

Ideal candidates have 5–10 years of backend experience with Python/Node.js, REST/GraphQL, RBAC and CI/CD. This Europe-based contractor role runs Oct 2026–Jul 2027 with possible extensions and requires fluent English.

Qualifications

  • 5-10 years of backend, platform, or software engineering experience.
  • Strong hands-on development with Python and/or Node.js.
  • Experience building scalable, secure cloud-based applications.
  • Experience designing RESTful APIs and/or GraphQL APIs.
  • Hands-on authentication, authorization, and RBAC experience.
  • Experience integrating apps with cloud-hosted services and data platforms.
  • Strong Git, CI/CD, automated testing, and code review practices.
  • Fluent professional English.

Responsabilités

  • Design and build scalable, resilient, and secure microservices and backend APIs.
  • Develop RESTful and GraphQL services for production-grade apps.
  • Integrate databases, third-party services, and legacy platforms with AI systems.
  • Optimize backend latency, throughput, and resources for real-time AI workloads.
  • Implement enterprise authentication, authorization, RBAC, and rate limiting.
  • Build secure service-to-service integrations across cloud environments.
  • Establish clean coding standards and maintain engineering quality.
  • Write comprehensive integration tests and participate in code reviews.
  • Collaborate with AI engineers to deploy models and services in containerized environments.
  • Apply Git, CI/CD, testing, and cloud engineering best practices throughout delivery.

Connaissances

Python
Node.js
RESTful APIs
GraphQL
RBAC
CI/CD
Git
Automated testing
Cloud
Microservices
Security

Outils

CI/CD pipelines
Cloud platforms

Description du poste

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.

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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