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Backend Developer building a SaaS platform for agri-food cooperatives using Python and FastAPI, focusing on integrations with external client systems. 100% remote from Spain.
Senior engineer owning the AI inference and runtime platform layer—serving open-weight LLMs on Kubernetes, building a microVM-based agent sandbox, and writing Rust/Python services for model lifecycle, autoscaling, and isolation.
The DevOps/Backend Engineer will develop backend services and REST APIs using Python and FastAPI while managing cloud infrastructure and CI/CD pipelines. The role involves working with containerization tools like Docker and Kubernetes and automating infrastructure via code in a remote, international environment.
Designs and builds AI-driven applications on Azure using Python, React, and AI frameworks like LangChain, while collaborating with cross-functional teams to deliver scalable, secure solutions.
The Forward Deployed Engineer will own end-to-end feature development and deployment for the PLX project, collaborating with cross-functional teams to deliver technical solutions. The role requires expertise in Python, JavaScript, SQL, and cloud infrastructure to build scalable applications and drive customer-facing innovation.
Freelance DevOps/SysOps engineer responsible for managing Azure and GCP landing zones, building CI/CD pipelines (Jenkins, Azure DevOps, GitLab, GitHub Actions), and deploying infrastructure via Terraform, with Python scripting for internal APIs.
This senior full-stack developer role involves building and industrializing generative AI platforms and RAG solutions using Python, LLMs, and cloud infrastructure. The position is based in an ESN environment with a hybrid work model requiring two days per week in Maisons-Alfort.
Senior Backend Developer building and maintaining scalable backend/API services for GHGSat's satellite-based greenhouse gas monitoring platform, using Python, AWS, Docker/Kubernetes, and PostgreSQL.
Python Developer (contract, 1 year) building scalable microservices, APIs, and data engineering solutions using FastAPI, Docker, Kubernetes, Azure Databricks, and Kafka for a large banking client's platform modernization in Toronto.
This role involves developing machine learning models and managing MLOps pipelines for production deployment. The position requires experience with Spark, SQL, and FastAPI to facilitate rapid iteration between experimentation and deployment.
Full-stack engineer owning end-to-end development of audio-focused mobile apps — Flutter/Dart front-end, Python (FastAPI/Flask) back-end APIs, PostgreSQL, deployed on GCP Cloud Run and Alibaba Cloud.
The Software Developer will design, build, and maintain core business and data-driven applications using React, Vue, FastAPI, and Spring Boot. The role involves full-stack development, database optimization, and leveraging AI-assisted tools like Claude and Cursor to enhance productivity within a professional services environment.
The Full-Stack Developer will design, develop, and maintain core business systems and data-driven applications. The role involves working across the full stack, utilizing frameworks like FastAPI or Spring Boot for back-end services and React, Vue, or Angular for front-end interfaces.
DreamTune Limited is seeking a Full-Stack Engineer to develop and maintain audio-focused mobile applications using Flutter and Python-based backends. The role involves managing the full product lifecycle, including store releases and cloud infrastructure deployment on GCP or Alibaba Cloud.
The Platform Systems Developer will design and implement full-stack software solutions to support digital transformation and operational excellence. The role involves working with a technology stack including Vue.js, TypeScript, Python, FastAPI, and PHP/Laravel.
Full-stack engineer building AI-powered enterprise web applications using React, TypeScript, Python, and Azure AI services within NNIT's AI Center of Excellence.
Senior Python Backend Engineer designing, developing, and maintaining backend services with Python, building RESTful APIs and microservices on Microsoft Azure with Azure Databricks and serverless components; core tech includes Python, Azure, Databricks, FastAPI/Django, and CI/CD.
Lead backend developer designing, building, and maintaining scalable Python microservices on Azure with Docker/Kubernetes and CI/CD in an Agile team.
The Lead Backend Developer will design, develop, and maintain backend services and microservices using Python and Microsoft Azure. The role involves implementing CI/CD pipelines, managing cloud infrastructure, and collaborating within an Agile team.
The Backend Developer will design and maintain Python-based microservices and RESTful APIs within the Microsoft Azure ecosystem. The role requires deep expertise in Azure Databricks, including Unity Catalog and serverless functions, to build and manage cloud-based data solutions.
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