451 to 475 of 1,728 NoSQL Jobs

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 ❯

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 ❯

large-scale data processing and search technologies. An expert in Apache Lucene, Solr, Elasticsearch, if not you have the appetite to learn more. Hands on experience with SQL and NoSQL databases under your belt. Hold a degree in Computer Science/Software Engineering or equivalent experience. Familiar with writing automated tests and maintaining high code quality. You have laser sharp 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 ❯

understanding in designing for cloud computing such as AWS. Proven experience building complex algorithms. Desktop application development using the Eclipse/RCP framework would be an advantage. Use of NoSQL databases would be an advantage. Able to help drive delivery effectively and guide decision making through balancing results, customer needs and quality. Proactive, creative and with analytical thinking skills. Able More ❯

extra points for... Solid experience with relational databases. Experience within a highly technical environment, solving complex problems. Experience of using Micro Services, RESTful APIs, message brokers (e.g. RabbitMQ) and NoSQL datastores (e.g. MongoDB). Experience of developing applications using non-blocking IO (event loops). Experience of Python, Tornado. Experience of Docker, Kubernetes. Previous commercial experience in Gambling or Sports More ❯

interpersonal skills Experience as a Python Developer or in a similar role Strong understanding of software development principles, design patterns, and best practices Experience in RESTful APIs, web frameworks, NoSQL databases and serverless applications Strong understanding of version control systems and familiarity with CI/CD Pipelines Bachelor's degree in Computer Science, Software Engineering, or related fields Working knowledge More ❯

ensure high-quality software development. Skills And Experience 3-5 years of professional experience in software development. Strong proficiency in TypeScript, JavaScript, Java. Experience with Spring Boot, Relational and noSQL database, Docker and Kubernetes is desirable. Knowledge of networking principles and cloud architecture (AWS, GCP, or similar) is a plus. Excellent communication and collaboration skills to work with diverse engineering More ❯

with proficiency in HTML, CSS, and responsive design principles. Strong experience with Node.js, Express.js, and building RESTful APIs or microservices. Proficiency in working with both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) databases. CI/CD & DevOps: Experience with integrating automated tests into CI/CD pipelines (e.g., Jenkins, CircleCI, GitLab CI) and familiarity with containerisation tools like Docker. Knowledge of 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 ❯

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 ❯

Spring boot and associated ecosystem (JPA, spring security, hibernate). Solid understanding of agile methodologies such as CI/CD, Application resiliency and security. Solid grasp on SQL and NoSQL databases. Preferred qualifications, capabilities and skills Formal training or certification on back end development concepts and proficient applied experience Solid understanding of docker, Kubernetes, configuration management utilities like helm, kustomize. More ❯