1 to 25 of 36 SQLAlchemy Jobs

programming experience Strong skills in Python web frameworks - Django, Flask, FastAPI Good understanding of object-oriented programming principles, design patterns and software architecture Relational database and ORM framework experience (SQLAlchemy) Containerization familiarity with Docker and/or Kubernetes Cloud platform knowledge (AWS preferred, but also Azure, GCP) Plusses: Experience working with data scientists Data library experience (Pandas and/or More ❯

for test-automation and CI/CD Strong STEM degree or equivalent professional experience Desirable skills: Deep knowledge of Python, including any of the frameworks we currently use: Flask, SqlAlchemy, Alembic, Pydantic Experience with relational databases, ideally Postgres Experience of message-based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge of the core More ❯

for test-automation and CI/CD Strong STEM degree or equivalent professional experience Desirable skills: Deep knowledge of Python, including any of the frameworks we currently use: Flask, SqlAlchemy, Alembic, Pydantic Experience with relational databases, ideally Postgres Experience of message-based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge of the core More ❯

dbt, Terraform. Advanced knowledge of PostgreSQL, Docker, and CI/CD pipelines. A practical understanding of data modelling, metadata management, and pipeline orchestration. Strong Python skills (Pandas, PySpark, or SQLAlchemy a plus) and SQL. Curiosity about how ML models and BI tools connect back to real-world decisions. Bonus Points Experience building and automating ML deployment pipelines to deliver models More ❯

to cloud deployments (AWS preferred). Familiarity with MQTT, ZMQ, WebRTC, MIDI, or similar communication protocols. Experience building backend components, APIs, or control-plane systems. Desirable: FFMPEG, PyQt, NumPy, SQLAlchemy experience. Understanding of secure communications (SSL/TLS, JWT). Passion for scalable, highly available architecture (real-time or mission-critical systems). Why Apply? Join a highly technical engineering More ❯

You are familiar with most important parts of a modern SaaS stack: o API frameworks in python such as Django or Flask. o Databases and ORM/ODM (e.g., SQLalchemy or MongoEngine). o Task brokers and message queues (celery, AMQP). o CI/CD and pipelines. o Cloud infrastructure and deployment o Unit and integration testing (Pytest). More ❯

learning) to enhance user experience in a meaningful business domain. Contribute across the tech stack: You’ll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work. Live on the cutting edge of AI tooling: You’ll help push the More ❯

learning) to enhance user experience in a meaningful business domain. Contribute across the tech stack: You’ll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work. Live on the cutting edge of AI tooling: You’ll help push the More ❯

z2bz0 years of experience writing Backend applications using Python and Django (Rest Framework) or related frameworks, e.g. Flask, FastAPI or similar Good understanding of ORM (either Django or SQLAlchemy) Good understanding of Python Unit Testing frameworks and TDD practices Experience working with Cloud Infrastructure (Ideally AWS) Good understanding of Git, and CI/CD Nice-to-haves: Deeper understanding of More ❯

application quality, performance, and security. - Infrastructure-as-Code - Security awareness (RBAC, networking, encryption at rest etc.) - Positive attitude towards LLM assisted development - Preferred Toolset: - Python (Pandas, Apache Airflow, PySpark, SQLAlchemy, Dask, Great Expectations, ScikitLearn) - Linux - Containers (e.g. Docker) - Data bases (e.g. PostgreSQL) - AWS (CDK/Python, Bedrock, Sagemaker) - Demonstrated interpersonal skills and ability to work closely with cross-functional teams More ❯

and intelligent agent capabilities. RAG & Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms (Azure, AWS, GCP), ensuring robust More ❯

and intelligent agent capabilities. RAG & Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms (Azure, AWS, GCP), ensuring robust More ❯

and intelligent agent capabilities. RAG & Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms (Azure, AWS, GCP), ensuring robust More ❯

and intelligent agent capabilities. RAG & Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms (Azure, AWS, GCP), ensuring robust More ❯

and intelligent agent capabilities. RAG & Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms (Azure, AWS, GCP), ensuring robust More ❯

and intelligent agent capabilities. RAG & Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms (Azure, AWS, GCP), ensuring robust More ❯

and intelligent agent capabilities. RAG & Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms (Azure, AWS, GCP), ensuring robust More ❯

and intelligent agent capabilities. RAG & Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms (Azure, AWS, GCP), ensuring robust More ❯

and intelligent agent capabilities. RAG & Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms (Azure, AWS, GCP), ensuring robust More ❯

and intelligent agent capabilities. RAG & Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms (Azure, AWS, GCP), ensuring robust More ❯

and intelligent agent capabilities. RAG & Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms (Azure, AWS, GCP), ensuring robust More ❯

and intelligent agent capabilities. RAG & Vector Databases: Implement and optimise RAG strategies, semantic search capabilities, and embeddings-based retrieval; integrate and manage vector databases. Relational Databases: Leverage MySQL and SQLAlchemy as the ORM to design robust, optimised schemas and implement efficient data retrieval and storage strategies. Cloud Deployment: Integrate and deploy services across cloud platforms (Azure, AWS, GCP), ensuring robust More ❯

a web application built with Python and Flask, running on Gunicorn. It is supported by several microservices, also written in Python, utilising frameworks and libraries such as Celery, Eventlet, SQLAlchemy, etc. Additionally, GOV.UK Notify utilises AWS RDS (Postgres), AWS SQS, AWS ElastiCache, OpenTelemetry, Prometheus, Grafana and other related services. Concourse CI and Terraform are used to run build-pipelines and More ❯

a web application built with Python and Flask, running on Gunicorn. It is supported by several microservices, also written in Python, utilising frameworks and libraries such as Celery, Eventlet, SQLAlchemy, etc. Additionally, GOV.UK Notify utilises AWS RDS (Postgres), AWS SQS, AWS ElastiCache, OpenTelemetry, Prometheus, Grafana and other related services. Concourse CI and Terraform are used to run build-pipelines and More ❯

AI) you will: Design and deliver personalised, AI-powered platform features using LLMs, recommender systems, and reinforcement learning. Ship production features in React (TypeScript/JavaScript) and Python (FastAPI, SQLAlchemy). From ML pipelines to frontend polish and trick debugging, you'll touch every part of the product journey. Experiment with the latest AI tools (think Cursor, Windsurf, and beyond More ❯