1 to 25 of 186 MongoDB Jobs in the East Midlands

frontend stacks. Strong programming proficiency in Python, C++, and Java (Quant/Trading grade codebases). Expertise in modern web development with React, Node.js, MongoDB, and SQL (Postgres, MySQL). Strong understanding of Git/GitHub, CI/CD workflows, code branching strategies, and code ownership. Prior work in a More ❯

frontend stacks. Strong programming proficiency in Python, C++, and Java (Quant/Trading grade codebases). Expertise in modern web development with React, Node.js, MongoDB, and SQL (Postgres, MySQL). Strong understanding of Git/GitHub, CI/CD workflows, code branching strategies, and code ownership. Prior work in a More ❯

frontend stacks. Strong programming proficiency in Python, C++, and Java (Quant/Trading grade codebases). Expertise in modern web development with React, Node.js, MongoDB, and SQL (Postgres, MySQL). Strong understanding of Git/GitHub, CI/CD workflows, code branching strategies, and code ownership. Prior work in a More ❯

frontend stacks. Strong programming proficiency in Python, C++, and Java (Quant/Trading grade codebases). Expertise in modern web development with React, Node.js, MongoDB, and SQL (Postgres, MySQL). Strong understanding of Git/GitHub, CI/CD workflows, code branching strategies, and code ownership. Prior work in a More ❯

frontend stacks. Strong programming proficiency in Python, C++, and Java (Quant/Trading grade codebases). Expertise in modern web development with React, Node.js, MongoDB, and SQL (Postgres, MySQL). Strong understanding of Git/GitHub, CI/CD workflows, code branching strategies, and code ownership. Prior work in a More ❯

frontend stacks. Strong programming proficiency in Python, C++, and Java (Quant/Trading grade codebases). Expertise in modern web development with React, Node.js, MongoDB, and SQL (Postgres, MySQL). Strong understanding of Git/GitHub, CI/CD workflows, code branching strategies, and code ownership. Prior work in a More ❯

years of hands-on software development experience in Java (11–21) or Python . Deep expertise in backend technologies: SQL/NoSQL databases , Elasticsearch , MongoDB , Spring Boot , REST/GraphQL APIs , and ORM frameworks like Hibernate. Strong proficiency in modern frontend technologies such as React , Redux , Vue , and TypeScript . More ❯

years of hands-on software development experience in Java (11–21) or Python . Deep expertise in backend technologies: SQL/NoSQL databases , Elasticsearch , MongoDB , Spring Boot , REST/GraphQL APIs , and ORM frameworks like Hibernate. Strong proficiency in modern frontend technologies such as React , Redux , Vue , and TypeScript . More ❯

years of hands-on software development experience in Java (11–21) or Python . Deep expertise in backend technologies: SQL/NoSQL databases , Elasticsearch , MongoDB , Spring Boot , REST/GraphQL APIs , and ORM frameworks like Hibernate. Strong proficiency in modern frontend technologies such as React , Redux , Vue , and TypeScript . More ❯

years of hands-on software development experience in Java (11–21) or Python . Deep expertise in backend technologies: SQL/NoSQL databases , Elasticsearch , MongoDB , Spring Boot , REST/GraphQL APIs , and ORM frameworks like Hibernate. Strong proficiency in modern frontend technologies such as React , Redux , Vue , and TypeScript . More ❯

years of hands-on software development experience in Java (11–21) or Python . Deep expertise in backend technologies: SQL/NoSQL databases , Elasticsearch , MongoDB , Spring Boot , REST/GraphQL APIs , and ORM frameworks like Hibernate. Strong proficiency in modern frontend technologies such as React , Redux , Vue , and TypeScript . More ❯

ML integration. Familiarity with AI/ML workflows, model deployment, and basic data science principles. Knowledge of SQL and NoSQL databases (e.g., SQL Server, MongoDB, PostgreSQL). Experience with containerization tools like Docker and orchestration with Kubernetes . Familiarity with CI/CD pipelines and DevOps tools (e.g., Azure DevOps More ❯

architecture . Strong understanding of functional programming concepts (immutability, monads, higher-order functions). Experience with SQL and NoSQL databases (PostgreSQL, Cassandra, DynamoDB, HBase, MongoDB). Experience with Kafka, Flink, or other streaming frameworks . Experience with data security, lineage, and governance tools . Experience working in Agile environment. Preferred More ❯

ML integration. Familiarity with AI/ML workflows, model deployment, and basic data science principles. Knowledge of SQL and NoSQL databases (e.g., SQL Server, MongoDB, PostgreSQL). Experience with containerization tools like Docker and orchestration with Kubernetes. Familiarity with CI/CD pipelines and DevOps tools (e.g., Azure DevOps, GitHub More ❯

in CI/CD and Infrastructure as Code. You’ll be doing: Developing secure, high-performance APIs Working with databases like PostgreSQL, DynamoDB and MongoDB Deploying cloud-native services using tools like Terraform, Docker and Kubernetes Improving performance, security and observability in backend systems Collaborating with product managers, cloud engineers More ❯

IBM’s Design Thinking to create user-centric products with high performance, security, and quality. Working with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB), operating systems (Linux, Windows, iOS, Android), and modern UI frameworks (React.js, Angular, Ember.js, Bootstrap, JQuery). Designing, developing, and supporting high-quality, scalable products across More ❯

performance back-end services and APIs that are secure, scalable, and efficient. Work with Data : You’ll manage both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases, creating flexible and reliable data architectures. Cloud Deployment : Gain hands-on experience deploying and managing applications on top-tier cloud platforms (AWS, Azure More ❯

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 ❯

experience in both front-end (e.g. JavaScript, React, Angular, Vue) and back-end (e.g. Node.js, Python, Java, Ruby) technologies. Experience with databases (SQL, NoSQL, MongoDB, etc.) and API development (RESTful, GraphQL). Knowledge of cloud services (AWS, Azure, Google Cloud) and deployment processes. Solid understanding of agile methodologies and collaborative More ❯

teams to ensure scalability, resilience, and observability of data pipelines. Database Engineering : Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified More ❯

teams to ensure scalability, resilience, and observability of data pipelines. Database Engineering : Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified More ❯

teams to ensure scalability, resilience, and observability of data pipelines. Database Engineering : Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified More ❯

teams to ensure scalability, resilience, and observability of data pipelines. Database Engineering : Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified More ❯

teams to ensure scalability, resilience, and observability of data pipelines. Database Engineering : Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified More ❯

.NET Core/ASP.NET MVC, C#, Azure SQL, and Agile methodologies. Full training will be provided in: .NET 9, JavaScript, React, Angular 19, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, TDD, BDD, Scrum, Kanban. If you are dedicated to problem solving through intellectual curiosity More ❯