51 to 75 of 366 NoSQL Jobs in London

platform updates and evolving user needs. Deploying managed and self-hosted database clusters for various startup projects, utilizing a wide range of database technologies (NoSQL, SQL, KV). Running pressure and scalability tests on database clusters, implementing sharding, horizontal and vertical scaling strategies. Refining and improving the performance of slow More ❯

cloud services Experience developing and deploying software-as-a-service (SaaS) applications Experience with Relational Database design and development, ideally Postgres Previous experience with NoSQL document-based database design and development Caching systems know-how and experience with Redis helpful Experience with Test-Driven Development Code test coverage through Unit More ❯

cloud services Experience developing and deploying software-as-a-service (SaaS) applications Experience with Relational Database design and development, ideally Postgres Previous experience with NoSQL document-based database design and development Caching systems know-how and experience with Redis helpful Experience with Test-Driven Development Code test coverage through Unit More ❯

cloud provider Preferred qualifications, capabilities and skills Knowledge of banking/finance. Certification in AWS, Kubernetes (CKE) and Terraform Familiar with databases (SQL or NoSQL). Experience with client/server software architectures & networking, or microservice architectures. Experience with observability tools like Grafana, Prometheus, Open Telemetry and others. Experience with More ❯

study in Computer Science, Informatics, Data Science, Engineering, or related fields. Experience in data engineering, with a focus on healthcare data preferred. Familiarity with NoSQL databases (e.g., MongoDB) and relational databases (e.g., PostgreSQL, MySQL). 5+ years in Python and SQL work. Knowledge of ETL tools (e.g., Apache Airflow) and More ❯

re looking for: 5+ years in backend or infrastructure development Strong skills in Go, Python, Node.js, or Java Solid experience with Kubernetes, SQL/NoSQL, and cloud platforms (AWS/GCP/Azure) Familiarity with APIs, CI/CD, monitoring tools, and scalable architecture Bonus: Knowledge of Generative AI or More ❯

re looking for: 5+ years in backend or infrastructure development Strong skills in Go, Python, Node.js, or Java Solid experience with Kubernetes, SQL/NoSQL, and cloud platforms (AWS/GCP/Azure) Familiarity with APIs, CI/CD, monitoring tools, and scalable architecture Bonus: Knowledge of Generative AI or More ❯

patterns and best practices. Experience with version control tools such as Git. Experience using MS SQL Server. Exposure to open source technologies (MongoDB/NoSQL) would be a bonus. Excellent written and verbal communication skills. Experience with middleware technologies. Experience with Test Driven Development practices. Agile environment experience. ASP.NET, Web More ❯

Privacy, security, authentication systems High qps, high SLA API deployment Python, c#, c++, rust, javascript/typescript, github/gitlab, django, mongodb (or other nosql), mysql/postgres, react/react-native, Node.js, wordpress, tensorflow, jupyter, colab, ML feature stores, dashboards, monitoring More ❯

Spring Boot, Hibernate/JPA and UI using React, Ember, JavaScript or HTML. FIX Experience Cloud experience with containerization (Docker, Kubernetes), Database (Relational and NoSQL), Messaging (RabbitMQ), Repository (BitBucket), or Helm Charts would be highly regarded (not all necessary). Good knowledge of design patterns and integration techniques. This is More ❯

Spring Boot, Hibernate/JPA and UI using React, Ember, JavaScript or HTML. FIX experience Cloud experience with containerization (Docker, Kubernetes), Database (Relational and NoSQL), Messaging (RabbitMQ), Repository (BitBucket), or Helm Charts would be highly regarded (not all necessary). Good knowledge of design patterns and integration techniques. This is More ❯

Spring Boot, Hibernate/JPA and UI using React, Ember, JavaScript or HTML. FIX Experience Cloud experience with containerization (Docker, Kubernetes), Database (Relational and NoSQL), Messaging (RabbitMQ), Repository (BitBucket), or Helm Charts would be highly regarded (not all necessary). Good knowledge of design patterns and integration techniques. This is More ❯

or Azure for real-time data ingestion and storage. Programming skills in Python, Java, Scala, or a similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of More ❯

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 More ❯

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 More ❯

technical design and approach for new solution development. BASIC QUALIFICATIONS - Bachelor's in Computer Science, or a related field and expertise with SQL and NoSQL databases (e.g. MySQL, MongoDB, PostgreSQL, Dynamo DB), web servers (e.g. Apache, Apache Tomcat). - Expertise in Python/R and experience with DevOps tools like More ❯

principles, and resolving monolith vs. microservices trade-offs. Experience in code review. Experience with unit, E2E, and UI testing frameworks. Experience with SQL and NoSQL databases. Best practices in building scalable mobile APIs (REST, HTTPS, etc.). Good principles of security management (secrets, protocols, etc.). Experience with some Python More ❯

Architect and optimize data platforms to enable efficient data collection, storage, and processing. Implement and manage cloud-native services, including compute, storage, databases (SQL & NoSQL), and serverless architectures. Ensure cost-efficient and optimized cloud usage. Networking Focus: Design and implement secure networking solutions using AWS networking services such as VPCs More ❯

Architect and optimize data platforms to enable efficient data collection, storage, and processing. Implement and manage cloud-native services, including compute, storage, databases (SQL & NoSQL), and serverless architectures. Ensure cost-efficient and optimized cloud usage. Networking Focus: Design and implement secure networking solutions using AWS networking services such as VPCs More ❯

Architect and optimize data platforms to enable efficient data collection, storage, and processing. Implement and manage cloud-native services, including compute, storage, databases (SQL & NoSQL), and serverless architectures. Ensure cost-efficient and optimized cloud usage. Networking Focus: Design and implement secure networking solutions using AWS networking services such as VPCs More ❯

ability to evaluate different approaches to balance performance, cost, and maintainability Experience with cloud platforms (GCP, AWS) is a must Experience with relational and NoSQL databases, with a focus on best practices in data modeling and performance optimization Hands-on experience with building and scaling microservices, RESTful APIs, and understanding More ❯

for ML model deployment Knowledge of MLOps practices and tools for experiment tracking Experience with big data processing frameworks like Apache Spark Knowledge of NoSQL databases (MongoDB, Elasticsearch) for handling unstructured data Experience with data versioning and feature stores for machine learning Proficiency in model deployment using containerization (Docker, Kubernetes More ❯

for ML model deployment Knowledge of MLOps practices and tools for experiment tracking Experience with big data processing frameworks like Apache Spark Knowledge of NoSQL databases (MongoDB, Elasticsearch) for handling unstructured data Experience with data versioning and feature stores for machine learning Proficiency in model deployment using containerization (Docker, Kubernetes More ❯

here are some other of our core technologies and what our environment looks like: Python for our application code, APIs and SDK SQL and NoSQL databases: PostgreSQL, Couchbase, DynamoDB Event-driven architecture, employing technologies such as Kafka, gRPC and Protobuf for event definitions Solver technology and algorithms to drive our More ❯

Knowledge in physical architecture at scale, building resilient, no single point of failures, highly available solutions Knowledge in one or more of the following: NoSQL technologies (Cassandra, ScyllaDB, ElasticSearch, Redis, DynamoDB, etc), Queueing system experience (Kafka, RabbitMQ, SQS, Azure Service Bus, etc) Working Experience with Containers and Dockerization, also K8S More ❯