4 of 4 Redis Jobs in the City of Westminster

Full Stack Developer

Location
City of Westminster, England, United Kingdom
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 ...

Staff Software Engineer-AI

Hiring Organisation
Hackajob Ltd
Location
Westminster, Greater London, UK
Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring engineers through design reviews, code ...

Lead Software Engineering — Trading Tech

Location
City of Westminster, England, United Kingdom
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 ...

Machine Learning Scientist III

Location
City of Westminster, England, United Kingdom
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 ...