7,695 Django jobs
Open roles that use Django for Python web backends.
Senior Full-Stack Engineer - TS/Python, London On-Site
Senior full-stack engineer at Descrial building end-to-end software for confidential financial data: TypeScript/React on the frontend, Python (FastAPI or Django) backend, PostgreSQL on AWS. On-site in King's Cross, London, owning features from schema to screen within a cohort of nine engineers.
Full-Stack Engineer - Onsite London, 3-5 Days/Week
Full-stack engineer building a product handling confidential financial data end-to-end, from database to interface, with emphasis on security, tenant isolation and auditability. Stack: TypeScript/React frontend, Python (FastAPI or Django) backend, PostgreSQL on AWS. Onsite 3-5 days/week in King's Cross, London.
Senior Backend Engineer — Mission-Critical Web Systems
Senior backend engineer at Metrea's London software team, building business software solutions and visualisations for the Enterprise — delivering scalable REST APIs with Python frameworks (Django/FastAPI) on Azure with Docker/Kubernetes. Hybrid role requiring three days per week in the office.
Remote Senior Backend Engineer – Python/Django APIs
Senior backend engineer at Verisk Maplecroft, a global risk intelligence specialist, building and owning production Python/Django API services. The role shapes architecture, security, reliability, and testing across the software lifecycle and applies AI-assisted development.
Full-Stack Engineer ×5
Full-stack engineer (one of 5 hires) building Descrial, a security-focused B2B platform for private-capital investment decisions by TresVista. Owns features schema-to-screen: TypeScript/React front end, async Python (FastAPI/Django) APIs, PostgreSQL on AWS, plus LLM-powered features. King's Cross, London, 3-5 days in office.
Senior Backend Engineer - Customer Operations Platform
Senior Backend Engineer on iwoca's Customer Operations Platform team, building internal services for CRM, telephony, and task management, automating ops workflows with AI/ML, and incrementally splitting a Django monolith into independent services. Hybrid role based in London; salary £80k–£110k.
Senior Python Software Engineer
Senior Python engineer on a small team building and expanding batch systems for Cboe Europe, the largest equities exchange in Europe. Day to day: designing highly reliable, testable Python services, doing R&D, and joining a production support rota. Core stack: Python, SQL, Linux, plus PostgreSQL, Snowflake, Kafka and Airflow.
Software Engineer – Python/Django & React SaaS
Correla is hiring a permanent Software Engineer to design, build, and maintain SaaS software across backend and frontend layers — developing APIs in Python/Django and web interfaces in React/Next.js with TypeScript, using PostgreSQL, Azure, and containerised deployment.
Senior Backend Software Engineer (Python/Django)
Senior backend engineer at Verisk Maplecroft building production Python/Django APIs and services behind its client-facing country-risk analytics platform (Global Risk Dashboard and a next-generation risk platform). Hands-on role with ownership from design through deployment, covering architecture, security, testing, and AI-assisted development.
Senior Backend Software Engineer (Python/Django)
Senior backend engineer at Verisk Maplecroft building production Python/Django APIs and services behind client-facing risk analytics products covering climate, political, and economic risk. Owns work from design through deployment, with a focus on security, testing, and pragmatic AI-assisted development. Bath, UK office with full remote within the UK possible.
Full Stack Developer
Full-stack engineer at Descrial (a software startup inside TresVista) building an investment-decision platform end to end: TypeScript/React front end, async Python (FastAPI/Django) back end, PostgreSQL on AWS, plus LLM-powered features, multi-tenant security and auditability. Based in King's Cross, London, in office 3-5 days a week.
Senior Python Developer
Senior full-stack developer at a growing SaaS company establishing its UK presence, based hybrid in the Teesside area. Day to day involves building with Python and Django and helping shape the team's technical direction.
WSO2 Ontwikkelaar & API Engineer | DevOps & Python
Builds and manages WSO2 ESB/API environments within an Enterprise Integration Solutions team: developing and restructuring message flows, testing, and supporting infrastructure concerns like failover and high availability. Also automates WSO2 deployments with Ansible and extends Python/Django scripts.
Software Engineer
Qogita is hiring a fullstack Software Engineer (2-5 yrs experience) to build and extend the Python/Django services and TypeScript/Next.js portals behind its Wholesale Operating System, owning features end to end and using AI models and coding agents in daily engineering work. Office-led hybrid role in the Netherlands, paying EUR 60-75k plus equity.
Python developer for SaaS platforms
Python developer on the BB8 Development Tooling team building a user-friendly front-end for Box.com and integrating it with enterprise tools (Confluence, Jira Align, AURA) via REST APIs, with secure auth and DevOps ownership. 1-year contract in the Netherlands using Django/Flask/FastAPI; visa sponsorship offered.
Fullstack Engineer
Key Responsibilities: Develop and maintain full-stack applications using ReactJS with TypeScript for frontend and Python frameworks (e.g. Django/FastAPI) for backend Build and enhance modules for our data-intensive…
Senior Software Engineer, Data
Senior backend software engineer on LILA Sciences' Data Platform Team, building the data backbone of its autonomous 'AI Science Factory' — high-performance APIs, SQL/NoSQL/vector database systems, workflow orchestration, and cloud infrastructure (AWS, Kubernetes) that turn lab and instrument data into faster scientific discovery.
Senior Software Engineer, App
Senior software engineer on LILA Sciences' Application team, building the full-stack, AI-native platform that lets scientists collaborate with AI agents — designing UI and APIs, scaling SQL/NoSQL/vector databases, and running workloads on AWS and Kubernetes to connect AI to automated lab workflows.