1 to 25 of 93 NoSQL Jobs in the South West

responsibilities may include: Use IBM’s Design Thinking to create products that provide a great user experience along with high performance, security, quality, and stability. Work with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, JQuery). Design, develop, and support high quality and scalable More ❯

Use IBM’s Design Thinking to create products that provide a great user experience along with high performance, security, quality, and stability. Work with a variety of relational and NoSQL databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery). Work across the entire system architecture, from More ❯

continuous integration and deployment tools such as GitLab , GitHub , or Jenkins . Database Management Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Version Control Proficient in Git and version control platforms like GitHub, GitLab, etc. Work More ❯

Social network you want to login/join with: £65,000 - £80,000 depending on experience (plus excellent benefits*) to ideally start in April 2025. We are looking for a passionate and experienced Full Stack Lead Software Engineer to join More ❯

Develop robust, scalable, and efficient web apps. Work Across the Stack - Frontend (React, Vue, or Angular) & Backend (Node.js, Python, Java, .NET). Database & API Development - Design and maintain SQL & NoSQL databases and RESTful APIs. Deploy & Maintain - Use Docker, Kubernetes, AWS, or Azure for scalable deployments. Collaborate - Work closely with product teams to turn ideas into reality. What We're Looking More ❯

Experience with Kafka, RabbitMQ, or other messaging systems Knowledge of cloud platforms (AWS, GCP, or Azure) Familiarity with DevOps practices and infrastructure as code (Terraform, Ansible, etc.) Exposure to NoSQL (MongoDB, Redis, etc.), particularly in thin-client or read-optimised use cases Attributes Passion for clean, efficient, and scalable code Ability to dive deep into technical problems and find optimal More ❯

and containerized environments. Knowledge of SQL databases (SQL Server, PostgreSQL). Familiarity with Entity Framework Core . Understanding of web accessibility and development best practices. Bonus Skills: Experience with NoSQL databases (e.g., MongoDB, Cosmos DB). Exposure to AI/LLM integrations (e.g., Langchain or similar tools). Working knowledge of design systems , such as the GOV.UK Design System . More ❯

Docker. Managing application deployed to Kubernetes clusters, Istio & Helm. Cloud: GCP, GKE, IaC (Terraform). Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube. SQL/NoSQL database, Basic Unix/Linux Skills, TDD using JUnit. It would be great if you also had Experience in Spring Boot and Hibernate. Experience in JavaScript or other front-end More ❯

Docker. Managing application deployed to Kubernetes clusters, Istio & Helm. Cloud: GCP, GKE, IaC (Terraform). Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube. SQL/NoSQL database, Basic Unix/Linux Skills, TDD using JUnit. It would be great if you also had Experience in Spring Boot and Hibernate. Experience in JavaScript or other front-end More ❯

and seamless integration within our cloud-native microservice ecosystem. Responsibilities: Design & Develop Database Solutions: Architect, design, and implement highly optimized relational (e.g., MySQL, PostgreSQL, AWS Aurora, SQL Server) and NoSQL (e.g., MongoDB, DynamoDB, Redis) database schemas, ensuring data integrity, performance, and scalability for microservices. Performance Optimization & Tuning: Proactively analyze and optimize complex queries, implement efficient indexing strategies, and manage partitioning More ❯

system documentation, and architecture discussions Key Skills and Experience Required: Experience with Go/Golang (commercial or personal projects) Strong knowledge of REST APIs , SQL/PostgreSQL , RDBMS , and NoSQL Cloud knowledge ideally Google Cloud Platform , or AWS/Azure Familiar with agile development, version control, and dev standards Confident writing maintainable, scalable, and production-ready code Desirable: CI/ More ❯

Preferred technical and professional experience Experience with containerization technologies (Docker, Kubernetes). Knowledge of serverless architectures and microservices. Familiarity with event-driven design patterns. Understanding of database systems (SQL, NoSQL). Experience with cloud security best practices ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. More ❯

to utilize third-party documentation to design and develop solutions for third-party products. Experience with Agile and DevOps methodologies. Proficiency with Linux operating systems. Experience with relational and NoSQL databases such as Postgres, DynamoDB, and others. Familiarity with monitoring and log aggregation tools like Datadog. Experience managing source code control and CI/CD tools like GitHub, Jenkins, or More ❯

Enhanced DV+ clearance Proficient in Java , with exposure to Python Strong experience developing on Linux Version control using Git Agile development (SCRUM) Working with both relational databases (Oracle) and NoSQL (MongoDB) Experience with GitLab CI/CD Pipelines , Apache NiFi , and Atlassian tools (Jira, Bitbucket, Confluence) Front-end skills: JavaScript/TypeScript, React Search and analytics tools: Elasticsearch, Kibana Nice More ❯

Social network you want to login/join with: Are you an experienced data engineer passionate about leading innovative projects and building impactful data solutions? A prominent organisation in the financial information services sector is seeking a Lead Data Engineer More ❯

Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks). Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka). Strong understanding of SQL and NoSQL databases, data modeling, and ETL/ELT processes. Proficiency in at least one programming language (Python, C#, Java). Experience with CI/CD pipelines and tools (Azure DevOps, Jenkins More ❯

or Conferences) Skills and experience that you need Excellent experience delivering in Python and experience with at least one other core language Excellent experience of SQL and relational databases. NoSQL databases is also desirable. Solid experience of at least one Cloud provider such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working More ❯

or Conferences) Skills and experience that you need Excellent experience delivering in Python and experience with at least one other core language Excellent experience of SQL and relational databases. NoSQL databases is also desirable. Solid experience of at least one Cloud provider such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working More ❯

Spring Boot), OO programming paradigms, multi-threading, messaging technologies, and computer networks. Knowledge of infrastructure, security, networking, operating systems, virtualization, and containerization. Detailed knowledge of database technologies (SQL and NoSQL), database resiliency, recoverability, scalability, and security. Experience designing, building, or modifying a complex distributed application with stringent non-functional requirements. Experience with event-driven architecture and distributed messaging technologies (Kafka More ❯

in AWS Strong experience of CI/CD tools (GitLab, Jenkins, CircleCI, etc.) Proficient with containerisation technologies, specifically Docker, Amazon ECS and ECR Brings expertise in both relational and NoSQL databases (MySQL, MariaDB, MongoDB, DynamoDB) Has experience with search (Elasticsearch) and caching technologies (Redis) Has knowledge of infrastructure as code (IaC) using tools such as Terraform Has a strong understanding More ❯

in AWS Strong experience of CI/CD tools (GitLab, Jenkins, CircleCI, etc.) Proficient with containerisation technologies, specifically Docker, Amazon ECS and ECR Brings expertise in both relational and NoSQL databases (MySQL, MariaDB, MongoDB, DynamoDB) Has experience with search (Elasticsearch) and caching technologies (Redis) Has knowledge of infrastructure as code (IaC) using tools such as Terraform Has a strong understanding More ❯

distributed, and high-performance cloud-based applications. Strong understanding of object-oriented programming principles and design patterns. Expertise in microservices architecture and event-driven systems. Proficiency in SQL and NoSQL databases, with a strong understanding of data modeling and query optimization. Strong understanding of software development life cycle (SDLC) and Agile methodologies. Preferred Education and Experience 6+ years of professional More ❯

and helping shape solutions without a rigid roadmap. Technical Skills Full stack development experience with Angular, TypeScript, and Node.js. You have experience working with MongoDB (Atlas), SQL, or other NoSQL databases. You have experience with cloud platforms (AWS preferred, including Elastic Beanstalk, S3, Lambda). You have experience with Tailwind CSS, DaisyUI, or other modern UI frameworks. You understand the More ❯

Dotnet Frameworks, microservices, and cloud platforms like Azure and AWS. Proficiency in C#, .NET Core, and related technologies. Understanding of system design, data structures, and databases (SQL Server, Oracle, NoSQL). Knowledge of AWS services such as EC2, Lambda, RDS, DynamoDB, S3, Redis. Skills in SQL programming, performance optimization, and test automation. Experience with CI/CD, DevOps, and software 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 ❯