4 of 4 MongoDB Jobs in Leeds

services with Java and Node.js. Background in microservices and event-driven architectures (e.g., Kafka). Strong knowledge of AWS, Docker, and Terraform. Experience with MongoDB, other NoSQL stores, and SQL databases. Skilled in GitLab CI, TDD, and agile ways of working. ...

observability, CI/CD, and automation for ML workflows. Experience working on creative or design-focused ML applications. OUR STACK Azure OpenAI, React, Node, MongoDB The base salary + variable pay for this role ranges from $172,000 - $215,000 + benefits. Compensation offered will be determined by factors such ...

concurrent user sessions. Build and optimize multi-threaded and asynchronous processes for performance and reliability. Manage and optimize data storage and retrieval using MongoDB and Elasticsearch, with a strong focus on performance, scalability, and memory efficiency. Collaborate with cross-functional teams to architect solutions that meet business and technical objectives. … 8+ years of professional experience developing in Python. Proven experience with multi-threaded or asynchronous applications. Strong knowledge of high-volume data architecture using MongoDB and Elasticsearch, including indexing, query optimization, and memory/performance tuning. Solid understanding of software design principles, data structures, and algorithmic efficiency. Proven experience developing ...

existing Python-based trading application Add new features and improve current capabilities with a focus on performance, reliability and clean architecture Work with MongoDB, Azure VMs, and Anaconda environments Ensure the application runs efficiently and accurately, including tasks requiring millisecond-level precision Troubleshoot production issues and improve system observability Collaborate … building high-performance and low-latency applications Strong understanding of asynchronous programming, multiprocessing, and performance optimisation Experience managing and improving existing codebases Experience with MongoDB and general database performance considerations Competent with Azure cloud environments (VMs, deployment, monitoring, etc.) Comfortable working independently, making architectural decisions, and maintaining high code quality ...