10 of 10 MongoDB Jobs in Glasgow

agile team environment## **DESIRABLE*** Familiarity using Infrastructure as Code tools such as Terraform* Familiarity building and integrating with NoSQL database (familiarity with MongoDB is preferred) or SQL databases such as Postgres* Familiarity with web standards, accessibility, and development best practice## **Bonus:*** Building microservices in C#* Experience building solutions that integrate ...

citations, long-running tasks, error-recovery* Backend: Django (5.x+), DRF, FastAPI, Pydantic, Celery, Django Channels, Flask, RESTful APIs.* Databases & Storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage.* Cloud & DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost ...

application development. Strong expertise in database/data engineering across multiple database platforms and environments (e.g., PostgreSQL, DB2, SQL Server, Sybase, Snowflake, Azure SQL, MongoDB, Teradata, Oracle, etc.). Hands‐on experience developing full-stack applications using Java/Spring Boot, Python, REST APIs, and Angular. Strong understanding ...

practices (guardrails, content filtering) Preferred Qualifications, Capabilities, and Skills Deep expertise in Java, object-oriented design, and system design Experience with ElasticSearch, Oracle, MongoDB, and modern data platforms Proven experience building AI-enabled applications and agentic architecture Experience developing reusable AI Agent skills/frameworks to accelerate engineering teams. #J ...

large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI Experience with Databricks, MongoDB, or large-scale extract, transform, and load/data integration workflows Knowledge of data governance, lineage, and entitlements concepts in an enterprise environment #J ...

delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) including Java, React, Microservices, API, Springboot, Kafka, MongoDB etc. Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability ...

experience. Experience working within complex, regulated or safety-critical engineering environments. Experience with cloud platforms, containerisation, microservices and API-based architectures. Knowledge of MySQL, MongoDB or similar database technologies. Understanding of Agile, DevOps, ITIL or SAFe environments. Experience governing software architectures or detailed designs throughout the engineering lifecycle. Additional Information ...

/CD: Comfortable owning pipelines end to end (GitHub Actions, GitLab CI, Jenkins).* Database Management: Experience with vector databases (ChromaDB, Pinecone, PGVector, Qdrant, MongoDB Vector Search); familiarity with NoSQL (MongoDB preferred) and SQL (PostgreSQL) databases.**Commercial and Stakeholder Skills*** Commercial awareness: able to reason about effort, scope, and value ...

processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with AI and full understanding of the SDLC process, and MongoDB Familiarity with reliability engineering concepts, including monitoring, alerting, and automated recovery and ability to implement and maintain system health checks and performance metrics Commitment ...

products using our modern stack (NestJS, TypeScript, GraphQL via Hasura, PostgreSQL, Vue.js) Legacy platform work - maintaining and improving our older Node.js applications (Express, Handlebars, MongoDB) Data and ingestion - working with large datasets, building and optimising data pipelines, and ensuring our systems perform at scale This is a hands on role. … experience AI and embeddings - experience with vector databases, LLMs, retrieval-augmented generation (RAG), or applying AI/ML techniques to deliver better user experiences MongoDB (we still have legacy systems running on it) CI/CD and DevOps - Docker, build pipelines, automated testing AWS (or similar cloud platforms - GCP, Azure ...