Top Linux Jobs in Glasgow

Lead the adoption of Rust at Canonical, design and implement Rust software, collaborate on technical specifications, and advocate for Rust within projects.

As a Microservices Engineer at Canonical, you'll develop scalable software and APIs in Python or Go, collaborate globally, and lead documentation efforts.

Design and implement Ubuntu integration for IoT and server-class hardware, working with partners on performance enhancements and testing strategies.

As a Site Reliability / Gitops Engineer, you will automate operations, develop Infrastructure as Code, maintain core services, and collaborate on service architecture.

The role involves developing software for Linux-based systems on autonomous devices, optimizing performance and ensuring reliability in various hardware environments.

As an Engineering Manager, you will lead a team to optimize engineering and operations processes, ensuring quality managed services while collaborating with customers and stakeholders.

The role involves enhancing Ubuntu Linux kernel support for various SoC platforms, collaborating with silicon vendors, resolving kernel issues, and implementing performance optimizations.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

Optimize Ubuntu for the latest IoT and server hardware, leading technical engagements, and work with open source communities. Requires experience with Linux and C/C++.

You will lead engineering teams, develop managers, hire staff, drive quality, and ensure disciplined processes while representing products to stakeholders.

Lead the architecture and delivery of enhancements to the Ubuntu Linux kernel, collaborate with other teams, and mentor engineers.

The Site Reliability Engineer will ensure reliable cloud operations by applying Python for infrastructure automation, managing OpenStack and Kubernetes, and practicing devsecops in a fast-paced environment.

As a Software Engineer at Canonical, you will collaborate globally to shape open-source software operations, focusing on Python and Golang development, enhance DevOps workflows, and improve infrastructure operations for cloud computing solutions.

Manage engineering teams and operations for the BootStack service, ensuring quality and timely delivery of managed services while collaborating with stakeholders and optimizing team performance.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

The role involves designing and delivering open source software operations code in Python, ensuring system reliability, and collaborating with teams across the Linux stack.

Lead and mentor a team of engineers to enhance AppArmor security features, ensuring high quality results and collaboration with stakeholders.

Design and implement frontend applications using JS, CSS, React, and Flutter. Collaborate on technical specs and contribute to documentation, ensuring user experience and performance.

Design, deploy, and maintain highly available, secure cloud platforms; support CI, automation, monitoring, and migrations of legacy systems to AWS; resolve performance, vulnerability, and scalability issues; create operational documentation and collaborate with stakeholders.

The Senior Network Architect is responsible for designing and implementing solutions for global networks, focusing on SD-WAN and automation. They work with internal teams and vendors to deliver scalable solutions and provide high-level technical support.

Lead the technical direction and hands-on development of Coder’s agentic engineering systems. Build production software in Go, with React and TypeScript as needed, and evolve agent execution, tool use, context management, streaming, and long-running workflows. Make architectural decisions, lead complex projects, improve reliability and performance, collaborate with Product and Design, and mentor engineers. The role requires distributed systems expertise, LLM and agentic workflow experience, and familiarity with AWS and cloud-native infrastructure.

The role involves owning and improving the design, deployment, and operation of OpenStack and Kubernetes environments, ensuring performance, scalability, and security of GPU workloads, while collaborating cross-functionally and driving automation using infrastructure-as-code practices.

Design and operate large-scale GPU infrastructure for distributed AI training, ensuring reliability, performance, and efficient customer partnerships.

Embed with product engineering squads to own production reliability for Grafana Cloud databases (Mimir, Loki, Tempo, Pyroscope). Design and implement SLOs, automation, and fault-tolerant patterns; lead incident response and post-incident reviews; improve observability, alerting, and scalability for high-SLA multi-tenant environments; mentor engineers and influence product design for operability.

Leads and grows an agentic engineering team building reliable AI development systems. Sets technical direction for agent harnesses, integrations, workflows, model-provider abstractions, tool use, context management, and long-running execution. Partners with Product and Design, contributes to architecture and implementation, improves system reliability and performance, and coaches engineers while maintaining strong execution standards.