1 to 25 of 75 Remote FastAPI Jobs

senior or technical lead role. Proven expertise in full-stack development using: TypeScript (and JavaScript frameworks such as NextJS, Node, or Tailwind) Python (including frameworks like Django, Flask, or FastAPI) PostgreSQL and relational database design, optimization, and maintenance. AI Development Tools such as Windsurf, Aider or Augment. Demonstrable experience building and scaling SaaS platforms in a production environment. Strong understanding More ❯

Continuous Delivery: Argo CD Primary Scripting/Automation Language: Python Observability & Monitoring: Monitoring & Alerting: Prometheus, Datadog, Pagerduty Telemetry Standards: OpenTelemetry Application & Data Ecosystem (Supporting): Application Languages/Frameworks: Python, FastAPI, Flask, Node.js, React Data Streaming: Apache Kafka Data Processing/Transformation: Pandas, DBT Workflow Orchestration: Apache Airflow, Ray Machine Learning Stack: Serving: Triton Inference Server MLOps/Experiment Tracking: Weights More ❯

of relevant experience may be substituted for each year of required education. Relevant certifications may be substituted for education or years of experience Programming skills in Python (Django, DRF, FastAPI) or React/TypeScript with Material UI, Git, SQL, Playwright/Cypress Test Libraries, Testing, Debugging. Experience with Data Visualization, RESTful APIs, RESTful Web Services, Orchestration and Containerization (e.g. Kubernetes More ❯

structures and algorithms. Proven experience in AWS cloud architectures (20%) , serverless design, and Terraform. Hands-on with Docker and Kubernetes for containerization and orchestration. Strong experience with REST APIs, FastAPI/Flask, and backend microservices . Solid database skills ( PostgreSQL, MySQL, DynamoDB, MongoDB, Redshift, Snowflake ). Excellent knowledge of CI/CD pipelines and DevOps practices. Experience with Agile/ More ❯

science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity More ❯

Docker), and orchestration (Jenkins, Airflow) Proven capability in MLOps, including CI/CD pipelines, model monitoring, versioning, and automated retraining Experience deploying and serving models through APIs (e.g., Flask, FastAPI) in both real-time and batch-processing environments Excellent communication and stakeholder management skills, able to translate complex concepts into actionable insights for non-technical audiences Demonstrated success mentoring teams More ❯

AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark, geospatial data/modelling Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. are a plus. Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard work and More ❯

should expect to apply XP techniques like TDD and SOLID and be comfortable with practices like IaC, CI/CD and Observability. Skills: Python GCP, AWS Kubernetes, Docker, ECS FastAPI, Django PostgreSQL, MongoDB Serverless, Container-based and Event Driven Architectures The money is good too – up to £100k plus benefits including nonus, share options and private healthcare. If you're More ❯

should expect to apply XP techniques like TDD and SOLID and be comfortable with practices like IaC, CI/CD and Observability. Skills: Python GCP, AWS Kubernetes, Docker, ECS FastAPI, Django PostgreSQL, MongoDB Serverless, Container-based and Event Driven Architectures The money is good too – up to £100k plus benefits including nonus, share options and private healthcare. If you're More ❯

stack, solve real customer problems, and play a key part in their growth journey. What You'll Do Backend Development: Build and maintain scalable APIs and services using Python (FastAPI), integrating with AI models and data platforms. Frontend Development: Develop responsive, high-performance user interfaces with React/Next.js. AI Integration: Connect to LLMs and ML services (e.g., OpenAI, AWS More ❯

operations and rollouts Build and integrate APIs for database management and automation workflows Troubleshoot automation issues across scripting, APIs, and containerised environments Required Skills: Proven experience in Python development & FastAPI Strong knowledge of PostgreSQL database administration Excellent problem-solving, debugging, and analytical skills Nice to Have: Exposure to observability tools ( Prometheus, Grafana, OpenTelemetry ) Experience with enterprise tools (Control M, True More ❯

Youll work on payment processing systems , API integrations , and infrastructure enhancements in a fast-paced, agile environment. What Youll Do Build and maintain backend services using Python & Django (or FastAPI) Design, develop, and document RESTful APIs for global payment integrations Contribute across backend, infrastructure, and front end where needed Support Infrastructure as Code using Terraform & AWS Collaborate in agile practices More ❯

Youll work on payment processing systems , API integrations , and infrastructure enhancements in a fast-paced, agile environment. What Youll Do Build and maintain backend services using Python & Django (or FastAPI) Design, develop, and document RESTful APIs for global payment integrations Contribute across backend, infrastructure, and front end where needed Support Infrastructure as Code using Terraform & AWS Collaborate in agile practices More ❯

scalable solutions. Essential Experience & Skills 5+ years' engineering experience, with at least 3 years in ML Ops, Data Engineering, or AI infrastructure. Strong Python engineering skills (Pandas, Numpy, Jupyter, FastAPI, SQLAlchemy). Expertise in AWS services (certification desirable). Proven experience deploying and supporting LLMs in production. Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face Trainer, etc.). More ❯

IAM and security for role-based access and credential management - Experience with CDK for infrastructure deployment - SQS for message queuing - EKS/ECS/Kubernetes for containerized AI deployments - FastAPI for building REST APIs and model serving endpoints - Requests library for HTTP client operations and external API integration - Authentication/authorization implementation (JWT, OAuth) - Making excellent quality AI/ML More ❯

IAM and security for role-based access and credential management - Experience with CDK for infrastructure deployment - SQS for message queuing - EKS/ECS/Kubernetes for containerized AI deployments - FastAPI for building REST APIs and model serving endpoints - Requests library for HTTP client operations and external API integration - Authentication/authorization implementation (JWT, OAuth) - Making excellent quality AI/ML More ❯

IAM and security for role-based access and credential management - Experience with CDK for infrastructure deployment - SQS for message queuing - EKS/ECS/Kubernetes for containerized AI deployments - FastAPI for building REST APIs and model serving endpoints - Requests library for HTTP client operations and external API integration - Authentication/authorization implementation (JWT, OAuth) - Making excellent quality AI/ML More ❯

the stack - React on the front end, Python on the back end. You'll: Build responsive UIs in React Develop APIs & services in Python (either Django/Flask/FastAPI) Own features end-to-end Help shape our tech stack You have: Strong React & Python skills API & database experience A proactive, problem-solving mindset Ideally start-up or scale-up More ❯

testing and deployment, so you should expect to maintain high standards in code quality through Automated Testing and be comfortable with things like Observability and IaC. Skills: Python, TypeScript FastAPI, Django PostgreSQL, MongoDB Kubernetes GCP, AWS Serverless, Container-based and Event Driven Architectures In return they're offering initial 6-month contracts outside IR35 paying up to £700/day. More ❯

to production You have experience with LLM evaluation and the development lifecycle of LLM features You are really comfortable working with Python and building APIs using frameworks such as FastAPI or Django Please mention the word 'crane' in your application. Nice-to-haves: Familiarity with Python, Go, Typescript You have experience working with Google Cloud, and/or Kubernetes/ More ❯

related field (or equivalent experience). 5+ years in full-stack development, building high-performance web applications, with significant experience in modern frontend frameworks (React). Proficiency in Python3, FastAPI, SQL, REST APIs, or similar. Experience working in a platform team, providing tooling and processes for other teams. Strong understanding of architecture, design patterns, and building scalable, testable code (unit More ❯

the stack - React on the front end, Python on the back end. You'll: Build responsive UIs in React Develop APIs & services in Python (either Django/Flask/FastAPI) Own features end-to-end Help shape our tech stack You have: Strong React & Python skills API & database experience A proactive, problem-solving mindset Ideally start-up or scale-up More ❯

Processing: Proficient with Pandas, NumPy, SQLAlchemy/psycopg2, AWS Boto3. Cloud & Infrastructure: Hands-on AWS (Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS/Kubernetes). API Development: FastAPI, REST API design, external integrations, authentication (JWT/OAuth). Software Engineering: Building production AI/ML systems, collaborative development, service/serverless architectures. Development Practices: Agile (Scrum/Kanban More ❯

Highly desirable skills include: Domain Experience: Familiarity with the unique structure of sports data (e.g., event, tracking, scouting, video). API Development: Experience building data-centric APIs, especially with FastAPI on serverless platforms like Google App Engine . Streaming Data: Practical experience building real-time data pipelines. DevOps & MLOps: Knowledge of Infrastructure as Code (Terraform), MLOps principles, and containerization (Docker More ❯

bar Driving innovation, architecture decisions, and adoption of modern engineering practices What were looking for: Extensive experience building complex applications in Python Strong knowledge of modern frameworks (e.g., Django, FastAPI, Flask) Experience with cloud platforms (AWS, GCP, or Azure) and scalable architectures Strong understanding of APIs, microservices, and distributed systems Background in mentoring or leading engineering teams Passion for solving More ❯