19 of 19 Remote/Hybrid Observability Jobs in Scotland

large‐scale production environments Strong software engineering expertise in Python, including backend development, API design, and distributed systems Solid understanding of scalable MLOps, observability, CI/CD practices, and cloud‐native AI deployment architectures Excellent communication, stakeholder management, and problem‐solving skills within agile delivery environments Bonus Points For Experience ...

OpenShift , RabbitMQ , PostgreSQL , Jenkins and GitLab CI/CD. Proven experience designing APIs, event-driven architectures and cloud-native applications. Strong understanding of DevOps, observability tools, Grafana/Kibana and software quality practices. Experience modernising legacy systems and delivering software within Agile environments. Excellent communication, collaboration and problem-solving skills. ...

Agile development experience Excellent communication and technical leadership skills A genuine passion for mentoring and improving engineering teams Experience with Kubernetes, Docker, observability tools, .NET/C#, AI-assisted development tools or real-time software platforms would be highly beneficial. What's on Offer Salary ...

skills, with the ability to influence at senior levels Nice to Have Experience operating in highly regulated or security-conscious environments Exposure to AI observability, explainability and responsible AI tooling Experience supporting predominantly remote or hybrid workforces at scale Background working within software, technology or climate tech organisations Why Join ...

rock-solid reproducibility. You'll manage and stabilise the test environments engineers depend on daily, track delivery performance through DORA metrics, ensure strong observability across the toolchain, and uphold security best practice throughout. Version control sits at the heart of this role. You'll define and refine branching strategies, manage ...

quality of software delivery, from designing and maintaining CI/CD pipelines and managing test environments through to tracking performance via DORA metrics, ensuring observability, and upholding security best practice throughout. You'll work closely with engineering teams to get under the skin of how they build, test, and deploy ...

workflow, plus familiarity with cheminformatics tooling (e.g. RDKit, OpenEye) — or willingness to pick these up. MLOps fluency: experiment tracking, data versioning, model serving, and observability of deployed models. A visible track record in the field — peer‐reviewed publications, open‐source contributions, or public projects that demonstrate your judgement on real ...

operating and improving cloud-based platforms and services used across DBT and wider government. Working across Python development, cloud infrastructure, CI/CD pipelines, observability and automation, you'll help improve reliability, developer experience and service performance while supporting critical business services used by thousands of users. As a Senior … code approaches. Support teams to adopt Site Reliability Engineering practices, including Service Level Indicators (SLIs), Service Level Objectives (SLOs) and error budgets. Contribute to observability across services, helping teams better understand performance, reliability and user impact. Develop and improve CI/CD pipelines to enable safe, frequent and low-risk ...

operating and improving cloud-based platforms and services used across DBT and wider government. Working across Python development, cloud infrastructure, CI/CD pipelines, observability and automation, you'll help improve reliability, developer experience and service performance while supporting critical business services used by thousands of users. As a Senior … code approaches. Support teams to adopt Site Reliability Engineering practices, including Service Level Indicators (SLIs), Service Level Objectives (SLOs) and error budgets. Contribute to observability across services, helping teams better understand performance, reliability and user impact. Develop and improve CI/CD pipelines to enable safe, frequent and low-risk ...

changes while improving resilience and reducing risk. Working within a highly skilled engineering team, you'll help strengthen pre- and post-change validation, enhance observability, and support the continuous improvement of automation capabilities. Technology Stack Linux/UNIX Python Ansible Apache Airflow Prometheus Grafana Loki VMware F5 What ...

changes while improving resilience and reducing risk. Working within a highly skilled engineering team, you'll help strengthen pre and post-change validation, enhance observability, and support the continuous improvement of automation capabilities. Technology Stack Linux/UNIX Python Ansible Apache Airflow Prometheus Grafana Loki VMware F5 What ...

engineering standards and mentor teams across AWS and Azure, delivering secure, scalable cloud-native solutions in a regulated environment. You will drive DevSecOps disciplines, observability, and end-to-end ownership while collaborating with product and commercial teams to align technical outcomes with business goals. #J-18808-Ljbffr ...

diverse engineering community. Design, build and maintain reliable, secure and scalable cloud-based infrastructure using infrastructure-as-code approaches. Enable teams to develop effective observability practices, including monitoring, logging, metrics and alerting that support proactive service management. Work with teams to define and embed Service Level Indicators (SLIs), Service Level … professionals, helping shape platform strategy, improve service reliability and support the delivery of critical digital services across government. The team is actively investing in observability, service-level management, platform automation, developer experience and cloud engineering. You'll join a culture that values collaboration, continuous learning and the freedom to explore ...

value Translate business requirements into AI-enabled workflow solutions Solution Design & Architecture Design and support implementation of: AI Control Tower (AI lifecycle management, governance, observability) Agentic AI workflows enabling autonomous execution Now Assist/GenAI use cases across workflows Define data, integration, and workflow architectures for AI-enabled ServiceNow solutions ...

realisation Translate business requirements into workflow-enabled operating models Solution Design & Architecture Design and support implementation of: AI Control Tower (AI lifecycle management, governance, observability) Agentic AI workflows enabling autonomous execution Now Assist/GenAI use cases across workflows Define data, integration, and workflow architectures for AI-enabled ServiceNow solutions ...

include: Large-scale Linux operating system upgrades. Enterprise patching and vulnerability remediation. Infrastructure lifecycle management. Development of automation tooling and processes. Platform monitoring and observability improvements. Supporting the adoption of modern infrastructure engineering practices. Key Responsibilities Linux Infrastructure Engineering Administer and support large-scale enterprise Linux environments. Perform troubleshooting … workflows to improve infrastructure efficiency. Create validation and verification processes to support change activity. Reduce manual intervention through automation and engineering best practice. Monitoring & Observability Enhance monitoring, alerting and observability capabilities across infrastructure platforms. Develop dashboards and operational reporting. Work with technologies such as: Prometheus Grafana Loki Support proactive platform ...

commissioning of robotic cells and assembly systems; perform First Article Inspection (FAI) and ensure compliance with safety standards i.e. ISO 9001 or AS9100. Observability & Support: Maintain platform observability and respond to incidents through Root Cause Analysis (RCA) to improve service efficiency. System Integration: Designing and implementing interfaces between MES (e.g. ...

repetitive operational workflows across compute, storage, and networking layers. Integrate AI capabilities into CI/CD pipelines and infrastructure-as-code ecosystems. Data Engineering & Observability Build and maintain pipelines for high-volume telemetry data (metrics, logs, traces). Ensure data quality, labelling, and feature engineering for ML models. Leverage observability ...

workflows across compute, storage, and networking layers . Integrate AI capabilities into CI/CD pipelines and infrastructure-as-code ecosystems . Data Engineering & Observability Build and maintain pipelines for high-volume telemetry data (metrics, logs, traces) . Ensure data quality, labelling, and feature engineering for ML models . Leverage … observability tools to inform AI systems . Reliability & Governance Define SLIs/SLOs for AI systems embedded in infrastructure workflows . Ensure robustness, explainability, and auditability of AI-driven decisions . Implement feedback loops to continuously improve model performance . AI-Driven SRE Enablement Develop ML/AI models ...