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Builds scalable backend services and APIs in Python, integrating databases and cloud platforms while collaborating with cross-functional teams.
Develops containerized Python backend services for a banking project, builds TypeScript/React UIs, and maintains PostgreSQL/Oracle databases in a hybrid work model.
Builds APIs, data pipelines, and visualization tools in Python to support business intelligence and data science workflows.
Build and maintain Python-based web apps for clients using Django/Flask/FastAPI, REST APIs, SQL, and testing libraries like Pytest.
Build and maintain Python-based web apps for global clients using Django/Flask/FastAPI, REST APIs, and cloud services while writing unit tests and following clean-code practices.
Build and maintain Python backend services for AI-driven banking/finance projects using FastAPI, LLM, RAG, and cloud AI services in Azure/GCP.
Senior Python developer building and scaling backend services for 20+ iGaming brands using FastAPI/Django, PostgreSQL, Redis, Kafka, Kubernetes, and AWS.
Build and maintain insurance-focused applications using Python, AI/ML models, and AWS cloud services, integrating systems via APIs and microservices.
Build end-to-end features in Python (FastAPI) and frontend, focusing on security, OAuth2/OIDC/RBAC, Docker/Kubernetes, and CI/CD pipelines.
Builds a single financial platform for systematic trading with React, TypeScript, and Material UI, collaborating with quants to embed strategies and optimize portfolios.
Build and maintain backend services and APIs in Python/Django and JavaScript/TypeScript to power fleet-readiness software for North American fleets.
Build and maintain enterprise Java/Spring Boot backends and Python services, pair with React/Vue frontends, and deploy on AWS while following Agile practices.
Build and maintain CI/CD pipelines, distributed systems, and DevOps tooling for Garmin’s global product teams using Python, SQL, and cloud infrastructure.
Build and maintain CI/CD pipelines, distributed systems, and testing infrastructure for Garmin’s global product teams using Python, SQL, and cloud tools.
Mid-level developer building scalable, cloud-based backend systems and APIs in Python/FastAPI, integrating Kafka for event-driven solutions, and deploying on AWS/GCP to advance climate-tech efficiency.
Build and maintain full-stack applications using Python, .NET, FastAPI, and Next.js/React, with a focus on AI/ML integration, cloud architecture, and REST APIs.
Build high-performance C++ algorithms and Python back-end services for a cloud-based geoscience automodeling platform that uses machine learning to extract insights from drilling data.
Build and deploy AI/ML models in Python for fintech use cases, using LLMs and MLOps pipelines while leveraging AI tools to accelerate development.
Build and maintain Python-based microservices and REST APIs for financial services, integrating event-driven systems and emerging AI workflows.
Build and maintain high-performance RESTful APIs with FastAPI, SQLModel, and Redis, optimize databases, and mentor junior developers in a hybrid Montreal office.
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