1 to 25 of 74 NoSQL Jobs in London

/Experience: Proven experience in development Strong knowledge of JavaScript (ES6+), asynchronous programming, and event-driven architecture. Experience with building and maintaining RESTful APIs. Solid understanding of SQL and NoSQL databases (e.g., MongoDB, PostgreSQL, MySQL). Familiarity with authentication and authorisation mechanisms (OAuth, JWT, etc.). Experience with version control systems like Git and GitHub/GitLab. Familiarity with containerization More ❯

and LLM integration. Familiarity with containerization, infrastructure as code, and agile delivery. Excellent communication skills and stakeholder engagement. Proficiency with Git and version control platforms. Desirable Experience Working with NoSQL and SQL databases (e.g., MongoDB, PostgreSQL). Exposure to GOV.UK Design System or building AI agents. Interest in emerging technologies and continuous learning. Why Join? Work on high-impact AI More ❯

and LLM integration. Familiarity with containerization, infrastructure as code, and agile delivery. Excellent communication skills and stakeholder engagement. Proficiency with Git and version control platforms. Desirable Experience Working with NoSQL and SQL databases (e.g., MongoDB, PostgreSQL). Exposure to GOV.UK Design System or building AI agents. Interest in emerging technologies and continuous learning. Why Join? Work on high-impact AI More ❯

preferred), containerization (e.g. Docker, Kubernetes) and microservices architecture Familiarity with CI/CD tools such as Jenkins, AWS CodePipeline, GitLab CI, or GitHub Actions Solid understanding of relational and NoSQL databases (e.g., PostgreSQL, MongoDB) Knowledge of security best practices (e.g. OWASP) and performance optimization Excellent leadership, communication, time management and mentoring skills, with the ability to influence technical direction Desirable More ❯

development, extensive knowledge of and experience with Java (17 or higher) Experience in Java frameworks like Spring Boot, RESTful API design, microservices architecture, and integration with databases (SQL/NoSQL) and working with at least one messaging platform (MQ/TIBCO/Kafka/Solace) Solid skills with RDBMS like Oracle or similar (e.g., MS-SQL, PostgreSQL) Camunda BPM for More ❯

using Docker and manage deployments in cloud environments (AWS or Azure). Collaborate in agile teams to deliver high-quality software aligned with business goals. Desirable Skills Experience with NoSQL (e.g., MongoDB) or SQL databases (e.g., PostgreSQL). Familiarity with Infrastructure as Code tools (e.g., Terraform). Understanding of accessibility standards and web development best practices. Bonus: Experience with C# More ❯

C#, .NET 8, Python, RESTful APIs, and microservices architecture. Familiarity with cloud platforms (Azure or AWS) and containerization technologies. Experience with databases (SQL Server, AWS RDS, MongoDB or other NoSQL). Knowledge of DevOps tools such as Azure DevOps, Jenkins, or Octopus for CI/CD. Understanding of Agile methodologies and collaborative software development practices. Bonus: experience in financial services More ❯

C#, .NET 8, Python, RESTful APIs, and microservices architecture. Familiarity with cloud platforms (Azure or AWS) and containerization technologies. Experience with databases (SQL Server, AWS RDS, MongoDB or other NoSQL). Knowledge of DevOps tools such as Azure DevOps, Jenkins, or Octopus for CI/CD. Understanding of Agile methodologies and collaborative software development practices. Bonus: experience in financial services More ❯

. Demonstrated success building and scaling production systems with global reach and multi-region deployment. Strong proficiency and current experience in React, Typescript, Python and database systems (SQL + NoSQL). Experience with performance monitoring and logging tools, including CloudWatch, Sentry, or DataDog, to ensure application stability, performance optimisation, and effective issue resolution Experience managing or mentoring engineering teams, including More ❯

frameworks crucial for personalisation at scale. Expertise in backend development, with knowledge of Golang is a plus, to build robust and efficient recommendation systems. Proficiency with both SQL and NoSQL databases, to manage and query data for personalized experiences. Demonstrated experience building robust APIs (REST, GraphQL) and operating in modern cloud environments (GCP, AWS), using Kubernetes, Docker, CI/CD More ❯

in designing microservices, developing, and deploying microservices. Strong knowledge of Spring Boot, Spring Cloud, and other Spring components. Expertise in building and consuming RESTful microservice Experience with SQL and NoSQL databases, PostgreSQL Strong knowledge on cloud services such as AWS Proficiency in Docker and Kubernetes for container orchestration. Strong knowledge of Git and version control practices Experience with Kafka, RabbitMQ More ❯

eg, Redis, Protobuf). Solid experience with CI/CD tools and pipelines (eg, Azure DevOps, Octopus, Jenkins). Experience working with both relational (eg, SQL Server, RDS) and NoSQL (eg, MongoDB) databases. Familiarity with cloud platforms (Azure, AWS) and authentication/integration mechanisms. Knowledge of RESTful APIs, Web API standards, and microservices best More ❯

Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to RAG patterns and vector search technologies What Success Looks Like: Secure, reusable GenAI components running smoothly in production Faster engineering delivery through automation More ❯

Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to RAG patterns and vector search technologies What Success Looks Like: Secure, reusable GenAI components running smoothly in production Faster engineering delivery through automation More ❯

e.g., spatial queries, coordinate systems, projections). Experience with geospatial analytics tools such as ArcGIS, QGIS, or similar platforms is a plus. Data Modeling & Querying: Experience with SQL and NoSQL databases, including spatial databases (PostGIS, MongoDB, Elasticsearch), for storing and querying geospatial and big data. Preferred Qualifications: Degree or higher in Computer Science, Geospatial Intelligence, Data Science, or related field. More ❯

orchestration tools such as Dataflow and Airflow. Database and Storage Optimization: Optimize and manage a broad array of database technologies, from traditional relational databases (e.g., PostgreSQL, MySQL) to modern NoSQL solutions (e.g., MongoDB, Cassandra). Focus on strategies that enhance data accessibility, integrity, and performance. Big Data Processing & Analytics: Utilise big data frameworks such as Apache Spark and Apache Flink More ❯

a plus), and experience building distributed microservices-based architectures. Strong knowledge of system design principles, scalable architecture patterns, and API design. Hands-on experience with relational (Postgres, MySQL) and NoSQL (DynamoDB) databases. Proficiency in cloud platforms (AWS, Azure, or GCP). Experience with CI/CD pipelines and automated testing frameworks. Deep understanding of investment products and trading workflows is More ❯

Azure services including Azure Functions, App Services, AKS, and Logic Apps Hands-on experience with Azure Cosmos DB including query optimisation and throughput management Familiarity with distributed systems and NoSQL data modelling Experience with Git, version control, and continuous integration tools Desirable skills/knowledge/experience Advanced proficiency in C#, ASP.NET, and .NET Core with strong object-oriented design More ❯

and backend. Deep expertise in TypeScript , ReactJS , Node.js , and RESTful API development . Experience with microservices , event-driven architecture , and cloud-native development . Strong understanding of SQL and NoSQL databases (PostgreSQL, DynamoDB, Redis). Proficient in AWS cloud services especially Lambda, SQS, S3, Cognito, API Gateway, EventBridge, etc. Hands-on experience with DevOps practices (CI/CD pipelines, Docker More ❯

Desired experience: Writing high quality code in Scala, Java, Kotlin or another JVM language Experience building scalable applications serving 10,000s of requests per second Relational databases, ideally Postgres NoSql datastores (e.g. DynamoDB) Stream processing: (e.g. Kafka) DevOps culture (CI/CD pipeline) Ability to proactively find and solve complex problems independently, but also know when to seek guidance or More ❯

has a real impact. As a software engineer you will: Build and scale end-to-end features across the full stack using .NET and React Work with SQL and NoSQL databases to deliver robust, high-performance solutions Design, maintain and optimise cloud-based services on AWS, GCP or Azure Implement and improve CI/CD pipelines, testing and version control More ❯

Vercel/Git Testing frameworks : Jest, Cypress, XCTest, Espresso CI/CD pipelines : GitHub Actions, CircleCI, Bitrise Cloud basics : AWS, Docker, K8s (exposure preferred) Desirable Familiarity with RDBMS/NoSQL for data modeling awareness Interview Process 3 Stage Interview Stage 1 - Discussion with our Hiring Manager (30mins): A chance to talk with our Hiring Manager in more detail about the More ❯

Experience with containerization technologies (e.g., Docker) and orchestration (e.g., Kubernetes) is a plus. Familiarity with cloud security best practices and compliance requirements. Knowledge of database systems, MS SQL, and NoSQL databases. Experience with version control systems Strong problem-solving and debugging skills. Excellent communication and teamwork skills. Self-motivated with a passion for learning and staying current with industry trends. More ❯

Experience designing ML/AI solutions and working with common architecture patterns* Background in serverless data/ML pipelines (Azure preferred, AWS/GCP welcome)* Proficiency in SQL and NoSQL data stores* Broad understanding of machine learning methods (regression, tree-based models, clustering, deep learning, attention models, transformers, vector representations)* Ability to explain technical concepts clearly to a range of More ❯

office environment within financial services Understanding of Equity Derivatives products. Experience of publish/subscribe messaging protocols e.g. AMQP, RabbitMQ Exposure to Relational Database Management Systems (Sybase) Exposure to NoSQL systems (Cassandra, MongoDB .etc.) Education to degree level, ideally in a computer science, mathematical or engineering discipline or equivalent More ❯