4 of 4 Redis Jobs in the City of Westminster

Terraform, Ansible), and monitoring tools (Datadog, Grafana). Containerization : Docker and Kubernetes. APIs : REST, GraphQL, OpenAPI. Databases : SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis). Testing : Unit and functional testing (Jest, Cypress, Mocha). Soft Skills Strong communication skills for technical and non-technical stakeholders. Ability to work in fast ...

development plans Our engineering environment includes technologies such as Python (FastAPI), LangChain/LangGraph for multi-agent LLM orchestration, React/TypeScript, PostgreSQL, MongoDB, Redis, Azure (App Service, Container Registry, Blob Storage), Docker, GitHub Actions, and modern CI/CD pipelines. About You: You will have a strong engineering background … e.g. LangChain/LangGraph or an equivalent framework) Strong RDBMS experience (e.g. PostgreSQL) and comfort with document stores (e.g. MongoDB) and caching layers (e.g. Redis) Comfortable working with AI-assisted development tools (e.g. Claude Code, Cursor, GitHub Copilot) as part of the daily workflow A willingness to learn - new technologies ...

domain-driven design practices and service boundaries. Use container platforms such as Kubernetes to run scalable services. Apply caching patterns using technologies such as Redis to improve performance and resilience. Participate in code reviews and promote test-driven development and behavior-driven development practices. Support performance testing and resilience validation … messaging patterns. Experience with streaming and/or messaging technologies (for example, Kafka or IBM MQ). Experience with caching technologies (for example, Redis, GemFire, or Apache Ignite). Working knowledge of relational and non-relational databases. Experience working in agile teams with strong engineering hygiene (testing, reviews, and operational ...

level design, API development, and data modelling for production machine learning systems. Build and operate production solutions using technologies such as Python, TensorFlow, PyTorch, Redis, Airflow, Docker, Kubernetes, and cloud-native infrastructure. Design and deploy scalable batch and real-time ML pipelines supporting customer-facing applications. Develop and operationalise … structures, algorithms, system design, low-level design, API design, and data modelling. Experience with batch and real-time data processing systems, databases such as Redis, and low-latency serving technologies such as KServe, FastAPI. Ability to partner effectively with cross-functional teams to deliver measurable machine learning outcomes. Preferred qualifications ...