6 of 6 NoSQL Jobs in Bristol

tools for AI applications and services. Database Technologies Experience with vector databases such as ChromaDB, Pinecone, PGVector, Qdrant, MongoDB, or similar solutions. Familiarity with NoSQL databases. Experience working with SQL databases, particularly PostgreSQL or equivalent. Version Control Strong experience using Git and modern version control platforms. Working Practices Experience working ...

GitHub Actions, GitLab CI, Jenkins). Database Management: Experience with vector databases (ChromaDB, Pinecone, PGVector, Qdrant, MongoDB Vector Search); familiarity with NoSQL (MongoDB preferred) and SQL (PostgreSQL) databases. Commercial and Stakeholder Skills Commercial awareness: able to reason about effort, scope, and value trade-offs, and contribute to how work ...

Cloud & Platform Engineering Kubernetes Docker Helm Terraform Infrastructure as Code CI/CD & DevOps GitHub Actions Jenkins GitLab CI Cloud automation Data & Messaging PostgreSQL NoSQL Databases Kafka Event-driven architectures Observability & Reliability Prometheus Grafana OpenTelemetry Monitoring and Performance Optimisation Desirable experience Banking or Financial Services experience. Open Banking exposure. Experience ...

General • Scripting (bash/shell) • Testing tooling: Selenium, Cucumber, etc. • Ability to flexibly support a variety of technologies (Java Spring Boot, NodeJS, SQL/NoSQL) and cloud components • Ability to converse with internal and external stakeholders at the appropriate level WHAT YOU'LL LOVE ABOUT WORKING HERE? We are delighted ...

variety of projects and get exposure to a variety of technologies such as (but not exhaustively) NodeJS, Java, Kotlin, Spring boot framework, RESTful microservices, NoSQL databases. Our Automation Assurance Specialists sit within Digital Excellence, part of the Business Technology practice at Capgemini Invent, which leads digital transformation projects across Capgemini. ...

guarantees, fault tolerance, security and operational support. Data Modelling & Storage: Strong data modelling skills and the ability to select appropriate data stores—including relational, NoSQL, graph, time-series, distributed SQL and lakehouse technologies—based on business and technical requirements. End-to-End Data Flows: Architect operational and analytical data pipelines ...