and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI More ❯
and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI More ❯
and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI More ❯
and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI More ❯
and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI More ❯
and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI More ❯
and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI More ❯
and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI More ❯
and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI More ❯
and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI More ❯
Glasgow, Scotland, United Kingdom Hybrid / WFH Options
Amici Procurement Solutions
scale data processing and search technologies . Expertise in Apache Lucene, Solr, Elasticsearch, or similar search technologies , or a keen willingness to learn. Hands-on experience with SQL and NoSQL databases (e.g., SQL Server, Postgres, MongoDB, CosmosDB). Experience working in Agile environments with modern DevOps and CI/CD practices. A Computer Science/Software Engineering degree or equivalent More ❯
and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI More ❯
with solutions involving .NET Core, AWS functions, Logic Apps, Service Queues, etc., following design patterns. Understanding of system design, data structures, and experience with relational (SQL Server, Oracle) and NoSQL databases. Deep knowledge of AWS services like EC2, Lambda, API Gateway, RDS, DynamoDB, S3, Redis. Advanced SQL skills, including stored procedures, complex queries, and performance tuning. Experience with test automation More ❯
and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI More ❯
Preferred Skills: Familiarity with version control systems (e.g., Git). Experience with web development frameworks (e.g., Django, Angular, React, Spring, Spring Boot). Knowledge of database systems (e.g., SQL, NoSQL). Understanding of software testing and quality assurance processes. Familiarity with cloud services (e.g., AWS, Azure, GCP). To obtain SC clearance, the successful applicant must have resided continuously within More ❯
and self-hosted solutions Understanding of vector databases, embedding systems, and retrieval architectures Technical Expertise: Containerisation (Docker) and orchestration platforms (Kubernetes, ECS, or equivalent) Database design across SQL and NoSQL systems API design, microservices architecture, and distributed systems Cloud infrastructure management and infrastructure-as-code AI/ML model deployment, monitoring, and scaling strategies Experience with both cloud-managed AI More ❯
Scrum ceremonies. Required Skills Strong hands-on Application Development background in at least one prominent programming language, preferably Python Flask or FAST Api. Broad understanding of data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, data privacy and security. Experience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift. Experience with designing, developing, and managing RESTful services More ❯
Glasgow, Scotland, United Kingdom Hybrid / WFH Options
KPMG UK
Jenkins, GitHub or Azure DevOps Worked Generative AI and large language models such as Azure AI Services or Chat GPT. Used Entity Framework or other popular ORM tools Used NoSQL databases such as Cosmos DB, Mongo or Cassandra, To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload More ❯
Cardiff, Wales, United Kingdom Hybrid / WFH Options
Aforza Ltd
who has: Strong frontend development experience building beautiful UIs using React Backend API development experience in Node.js and be comfortable with modern JavaScript/TypeScript Experience with SQL and NoSQL databases Experience structuring and developing REST APIs Good understanding of unit testing frameworks Experience with Docker/Kubernetes Ability to identify areas of code improvement and opportunities to refactor You More ❯
governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands-on knowledge of database systems (SQL/NoSQL), ETL/ELT processes, and data modeling techniques. Exceptional leadership, communication, and stakeholder management skills. Ability to work in fast-paced, agile environments and balance long-term strategy with short More ❯
Leatherhead, England, United Kingdom Hybrid / WFH Options
Frazer-Nash Consultancy
and managing Azure DevOps projects or Similar Managing and delivering the development of solutions with a team of people using Agile approaches Database design and management for Relational or NoSQL Due to the nature of the work that Frazer-Nash Consultancy undertake, candidates will be required to undergo pre-employment screening and must be able to satisfy clearance criteria for More ❯
database and business intelligence tools; publishing and presenting information in an engaging way is a plus Financial Services and Commercial and Investment Banking experience is a plus Familiarity with NoSQL database platforms(DynamoDB, Cassandra) is a plus Familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc. About Us J.P. Morgan More ❯
Node backend Strong knowledge of Typescript or another typed programming language Good React knowledge Good understanding of MySQL or a similar relational database Experience using Elasticsearch or a similar NoSQL database Experience working with messaging systems/pub-sub Experience writing automated tests Awareness and passion for working in an agile environment Experience of modern web and server-side RESTful More ❯
Node backend Strong knowledge of Typescript or another typed programming language Good React knowledge Good understanding of MySQL or a similar relational database Experience using Elasticsearch or a similar NoSQL database Experience working with messaging systems/pub-sub Experience writing automated tests Awareness and passion for working in an agile environment Experience of modern web and server-side RESTful More ❯
Node backend Strong knowledge of Typescript or another typed programming language Good React knowledge Good understanding of MySQL or a similar relational database Experience using Elasticsearch or a similar NoSQL database Experience working with messaging systems/pub-sub Experience writing automated tests Awareness and passion for working in an agile environment Experience of modern web and server-side RESTful More ❯
