26 to 35 of 35 Redis Jobs in the Thames Valley

backend services with Python and FastAPI Comfortable working across the full stack and switching between frontend and backend problem solving Experience with MongoDB, Redis, and cloud platforms such as Azure, GCP, or AWS Experience working with data heavy or AI driven products is a bonus A proactive engineer who enjoys … working in a small, fast moving team Tech stack Frontend: React, Next.js, TypeScript, Tailwind CSS Backend: Python (FastAPI) Database: MongoDB Caching & queueing: Redis Cloud: Azure (transitioning to GCP, AWS possible in future) What you'll get Flexible remote working with optional access to a London office The chance to work ...

Team: Backend Location: UK Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning ...

Team: Backend Location: UK Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning ...

Team: Backend Location: UK Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning ...

PostgreSQL/MongoDB); solid API design fundamentals. Familiarity with AWS serverless patterns and Docker for bespoke services; basic CI/CD concepts. Comfortable with Redis (caching/sessions) and common queue/messaging patterns. Startup mindset: high ownership, pace, ambiguity; willing to burn the midnight oil when needed. Growth mindset … practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/Runtime: Python (FastAPI), Node.js. Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions). Vectors/Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). ...

banking domain. The ideal candidate will have deep expertise in designing and implementing scalable, high-performance data platforms using modern technologies such as MongoDB, Redis, Elasticsearch, and other tools that enable fast data storage, querying, and exposure. This role requires a strategic thinker with hands-on technical skills … data platforms to support investment banking applications and regulatory reporting needs. Define and implement data storage, retrieval, and exposure strategies leveraging technologies like MongoDB, Redis, Elasticsearch, and other NoSQL/relational systems. Collaborate with business stakeholders, data scientists, and engineering teams to deliver solutions that meet performance, scalability, and compliance ...

Role Overview Quantum is building a high-performance trading platform operating in a security-critical environment. We are seeking a hands-on Cloud Engineer to design, build, secure, and operate our Microsoft Azure cloud platform. ...

Role Overview Quantum is building a high-performance trading platform operating in a security-critical environment. We are seeking a hands-on Cloud Engineer to design, build, secure, and operate our Microsoft Azure cloud platform. ...

Role Overview Quantum is building a high-performance trading platform operating in a security-critical environment. We are seeking a hands-on Cloud Engineer to design, build, secure, and operate our Microsoft Azure cloud platform. ...

clean architecture Build and optimise real-time pipelines handling high-frequency data Improve latency, throughput, and reliability using profiling and performance engineering Work with Redis, Azure VMs, and Anaconda environments Implement and maintain systems requiring millisecond-level timing precision Troubleshoot production issues quickly during key market hours Collaborate directly with … data with careful performance considerations Ability to profile, measure, and improve performance Comfortable owning an existing codebase: refactors, architecture improvements, clean tests Experience with Redis and general database performance considerations Competent with Azure cloud environments (VMs, deployment, monitoring, etc.) Comfortable working independently, making architectural decisions, and maintaining high code quality ...