1 to 25 of 86 NoSQL Jobs in Berkshire

microservices using Java 11+ and Spring Boot. Design and implement robust business logic and integrations. Database Management Work with relational databases such as Oracle, MySQL, or PostgreSQL. Experience with NoSQL databases like MongoDB or Cassandra. DevOps & Cloud Support CI/CD pipelines using Jenkins, Docker, and Kubernetes. Deploy and manage applications on AWS, Azure, or GCP. Collaboration & Version Control Work More ❯

in sprint planning, code reviews, and team knowledge-sharing sessions. Tech Stack ->TypeScript ->Next.js ->Node.js ->GCP ->AWS (ML) ->CI/CD with GitHub actions and workflows ->SQL (PostgreSQL, MySQL) ->NoSQL (MongoDB, Firestore, Redis) ->RESTful APIs - GraphQL Requirements for Tech For Good (Audio Intelligence) | Innovative Products | Mid-Level (Back End Leaning) Full Stack Engineer | TypeScript/Next.js/Node.js | £50K - £65K More ❯

and cost-effective cloud-native applications. Understanding machine learning lifecycle, MLOps principles, and responsible AI/ML practices from an application integration perspective. Experience with database technologies (SQL/NoSQL) and data integration patterns. Familiarity with cloud services relevant to application development (e.g., Azure Webapps, Azure Functions, Azure API Management, Azure Cosmos DB, Azure Databricks, Azure ML services for model More ❯

Skills & Experience Strong experience with Java (Spring Boot) and React Familiarity with containerisation and orchestration (Docker, Kubernetes) Understanding of microservice architecture and domain-driven design Experience with SQL and NoSQL databases (PostgreSQL, MongoDB) Knowledge of cloud platforms , ideally AWS and/or Azure Strong communication and collaboration skills - comfortable engaging with both technical and non-technical stakeholders Motivated, adaptable, and More ❯

Technical Skills Proficient in back-end development using .NET . Strong understanding of microservices architecture and cloud-based systems . Solid knowledge of database design (relational and/or NoSQL). Hands-on experience with Docker for containerization; familiarity with Kubernetes (or working closely with DevOps teams for orchestration). Proficiency with Git for version control and JIRA for agile More ❯

such as Python, JavaScript, or TypeScript. • Data Systems Knowledge: •Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. •Familiarity with SQL and NoSQL databases. •Understanding of data privacy and security concepts. • Ways of Working: •Comfortable working in Agile/Scrum environments, participating in sprint planning, stand-ups, and retrospectives. •Experience using Agile collaboration More ❯

tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). Ways of Working More ❯

tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). Ways of Working More ❯

years’ professional software engineering experience Strong experience delivering production-grade web applications with React and Next.js Solid backend skills, preferably in Python , with good understanding of both relational and NoSQL databases Familiarity with Git and collaborative workflows, background workers/task queues (e.g. Celery, RQ), and caching/pub-sub systems such as Redis Experience with containerisation (Docker, Kubernetes), asynchronous 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 ❯

datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience More ❯

across engineering, security, and product teams to deliver at pace and scale. The toolkit you’ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform More ❯

environment. What You’ll Do - Build and scale cloud native systems with performance and security in mind - Develop with TypeScript, React/Next.js, Node.js and Python - Manage SQL and NoSQL databases (PostgreSQL, MongoDB, Redis, etc.) - Deploy to Google Cloud (GCP) using Docker, Kubernetes and CI/CD pipelines - Work closely with designers, product leads and fellow engineers What You’ll More ❯

projects forward Proficiency in full-stack development using any object oriented language (we use .NET) and any modern javascript framework (we use React) Experience working with databases (SQL and NoSQL), APIs, and web technologies. Experience with cloud platforms (AWS, GCP, Azure) Solid understanding of software engineering principles, including clean code, testing, and version control (git). Strong problem-solving skills More ❯

Terraform, Ansible, or Pulumi. Hands-on experience with UNIX/Linux systems and modern DevOps toolchains. Working knowledge of GitOps (e.g., ArgoCD, FluxCD). Familiarity with both SQL and NoSQL databases. Strong containerization background (Kubernetes, Docker) and associated tooling (Helm, Kustomize). Practical understanding of cloud security, networking protocols, and secure deployments. Experienced in observability stacks—logging (e.g., ELK), monitoring More ❯

Strong understanding of CI/CD pipelines (e.g. GitHub Actions) and containerisation (Docker). Experience designing scalable, secure systems using modern principles (SOLID, TDD). Familiarity with databases (SQL, NoSQL, or graph) and API integrations. Excellent communicator who thrives in a collaborative, fast-paced environment. ✨ Nice-to-haves: Experience with Generative AI/LLMs in applied engineering contexts. Exposure to More ❯

security experts. Essential Skills & Qualifications: Proven experience designing and implementing modern data architectures in cloud environments. Strong understanding of data modelling (conceptual, logical, and physical), including relational, dimensional, and NoSQL approaches. Expertise in data integration, ETL/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant More ❯

re Looking For Essential Experience: 5+ years of software engineering experience with demonstrated ability to own complex technical systems end-to-end Experience with databases (relational and/or NoSQL) and data pipeline design Experience with at least one major cloud platform (AWS or GCP) Frontend development experience with modern frameworks (React, Vue, Angular, or similar) and TypeScript Strong Python More ❯

optimizing production-grade APIs (REST/GraphQL) for both internal and external consumption. Data Systems: Experience with optimizing database queries and schema design for both relational (PostgreSQL, MySQL) and NoSQL/Time-Series databases (e.g., DynamoDB, TimescaleDB) under high-throughput conditions. Scale & Performance Focus Experience building systems that efficiently handle millions of requests/events per day with stringent latency More ❯

datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience More ❯

CD tools and automation frameworks . Solid knowledge of Python, Golang, and/or Java (desirable). Understanding of microservices architectures and modern deployment practices. Experience managing relational and NoSQL databases . Excellent analytical and problem-solving skills with a proactive approach to troubleshooting. 🌟 Why You’ll Love This Role Work with modern DevOps tools and industry best practices. Hold More ❯

Kafka , RabbitMQ , or Azure Service Bus (event-driven systems) ☁️ Azure/AWS , Docker/Kubernetes , IaC, CI/CD ( Azure DevOps , GitHub Actions ) 🗄️ SQL Server/PostgreSQL , caching/NoSQL experience welcome 🧪 xUnit/NUnit , contract testing , OpenTelemetry , Grafana/Prometheus , ELK Stack 🔍 What We’re Looking For ✅ Strong backend engineering experience using C#.NET Core 🔁 Solid knowledge of event-driven More ❯

Storage, Key Vaults, Azure SQL, and Cosmos DB. API & Microservices: Skilled in building RESTful APIs and microservices using tools like Swagger and Postman. Database Management: Experienced with SQL and NoSQL databases including PostgreSQL, CosmosDB, and Redis. Testing & TDD: Familiar with Test-Driven Development and automated testing using PyTest. IaC & Containers: Exposure to Infrastructure as Code (Terraform) and containerisation (Docker). More ❯

such as React, Redux , Vue, Backbone, or Angular. Experience deploying software to at least one of the leading cloud computing platforms (i.e., GCP, AWS, Azure) Understanding of SQL and NoSQL databases Proficiency in object-oriented programming , data structures , algorithms and web application development . More ❯

and deep familiarity with ML libraries and frameworks. Experience designing and deploying knowledge graphs and working with graph databases (e.g. Neo4j, Amazon Neptune). Proficient in both SQL and NoSQL databases, with a strong understanding of data modelling and integration. Experience building APIs (REST, gRPC) and working with containerised environments (Docker, Kubernetes). Solid grasp of distributed systems, networking, and More ❯