Top Backend Jobs in Glasgow

Design, build, test, and maintain backend services and APIs for the casino platform. Ensure reliability, scalability, and code quality; participate in reviews, shape architecture, collaborate with product and vendors, and ship continuously in a fast-paced environment.

As a Senior Backend Engineer, you will enhance Grafana's alert management system, develop distributed systems for alert ingestion and evaluation, and mentor team members. You will contribute to open-source projects and ensure system reliability and performance.

Lead and mentor engineering teams, design and build Python microservices, ensure system resilience and scalability, and improve CI/CD processes.

The Full-Stack Engineer will enhance backend functionality, collaborate with teams, and maintain platform performance and security, requiring expertise in Python.

Design and develop Azure SaaS applications. Collaborate on features, troubleshoot issues, and keep up with technology trends while building secure APIs.

The role involves owning product feature development, participating in system design, and maintaining software performance in an agile setting.

The Senior Backend Engineer will develop reliable cloud services, engage in teamwork, and address complex challenges primarily using Golang, Java, and Python.

As a Backend Engineer, you will design scalable APIs, create Engineering Requirement Documents, and build test suites for product analytics and performance.

The Staff Backend Engineer will own the Economic Core of Voyagu's Radar platform, focusing on financial systems architecture and ensuring revenue correctness and financial logic implementation across the system.

The role involves leading the mk8s Core Team, managing technical projects, coaching engineers, and participating in hands-on coding and incident response.

The backend developer will build backend software focusing on reliable APIs, ensure high-quality output, and collaborate with teams.

As a Senior Python Backend Engineer at VidRush, you'll build AI-driven video production systems, ship production-level ML/LLM services, and work closely with product teams while ensuring high autonomy and delivery speed.