21 of 21 Observability Jobs in Scotland

Data: Proficiency with Docker, Kubernetes, and relational databases (MS SQL, Sybase). Delivery Automation & Monitoring: Strong focus on automated testing, automated release pipelines, and observability tools (Grafana, Prometheus). Mindset: Delivery-focused problem solver with a hands-on approach and strong stakeholder communication skills. Desirable Experience Background in Equity Swaps ...

depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance ...

expertise in Go and/or Python Kubernetes platform engineering experience, including CRDs and API extensions. Strong knowledge of Kubernetes internals, multi-tenancy and observability Proven experience with CI/CD, automation, infrastructure as code and deployment pipelines. Strong understanding of SDLC, Agile delivery, resiliency and security Practical ...

expertise in Go and/or Python Kubernetes platform engineering experience, including CRDs and API extensions. Strong knowledge of Kubernetes internals, multi-tenancy and observability Proven experience with CI/CD, automation, infrastructure as code and deployment pipelines. Strong understanding of SDLC, Agile delivery, resiliency and security Practical ...

Fluency in Python & deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplines Proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc. Proficiency in continuous ...

also be useful. We're particularly interested in people who have worked with modern data platforms and understand the principles of ELT, automation, testing, observability, data quality and infrastructure-as-code . What You'll Bring A strong understanding of modern data engineering practices A genuine interest in building well ...

testing Implement security best practices across the platform, including least-privilege access controls, secrets management, encryption, network segmentation, and auditability Improve platform reliability through observability tooling logging, metrics, and tracing alongside alerting, incident response practices, and performance and cost optimization Collaborate with stakeholders to translate business and technical requirements into ...

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. ...

opportunities for increased automation and reduced manual intervention. Troubleshoot complex issues across application, automation, infrastructure, and deployment layers. Contribute to improvements in deployment reliability, observability, resilience, and operational support. Participate in code reviews and contribute to engineering standards, design decisions, and best practices. Collaborate with developers, QA engineers, DevOps, architects ...

build, and operate REST and gRPC APIs and microservices, defining clear contracts using OpenAPI and Protobuf while ensuring backward compatibility, authentication, rate limiting, and observability Apply resilience engineering patterns - including timeouts, retries, and circuit breakers - to ensure reliable, production-grade service behavior Build and maintain well-tested, maintainable Python services … query optimization, indexing, and transaction management Demonstrated experience building AI solutions using large language models in production environments, including quality assurance, safety controls, evaluation, observability, and cost management Strong API and microservices engineering experience, including service design, contract definition, security patterns, performance tuning, and distributed system observability Hands-on multi ...

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 ...

perform reliably at scale. Recent, personal experience architecting and building production AI systems. Expect to discuss retrieval strategy, caching, context economics, serving constraints, evaluation, observability and what went wrong in practice. Strong systems thinking. You can reason through unfamiliar platforms and problems rather than relying on expertise in a single ...

clients to deliver with confidence. As a DevOps Engineer, you'll work across Microsoft Azure and AWS, using cloud-native technologies, automation and observability to improve application delivery and platform performance. You'll have the freedom to take ownership of challenges, introduce creative improvements and make a measurable impact … hands-on with Kubernetes and Jenkins to create reliable, repeatable delivery processes and resolve challenges across applications and infrastructure. You'll also help strengthen observability across our environments, using monitoring, metrics and visualisation to identify issues early and improve platform performance. Supported by collaborative development, cloud, platform and operations teams ...

operational excellence by proactively identifying patterns in system failures, operational metrics, and data; designing and implementing systematic improvements to system reliability, performance, and observability Evaluate and lead vendor/technology assessments - leading sessions with external vendors, startups, and internal teams to drive outcomes-oriented evaluation of architectural designs, technical credentials … automation Frameworks on Kubernetes, including authoring reconciliation loops, admission controllers, webhooks, and custom controllers; strong understanding of Kubernetes internals, API machinery, RBAC, multi-tenancy, observability, and operational best practices for production environments. In-depth Google Cloud development experience -architecting, building, deploying, and operating production cloud-native workloads using core ...

strong engineering fundamentals and site reliability practices to cutting-edge AI platforms. You'll work hands-on with cloud and Kubernetes-based deployments, deep observability, and cost-aware performance tuning. If you enjoy solving hard production problems and making platforms measurably better, you'll find meaningful impact and growth here. … Amazon EKS and Amazon SageMaker, as well as on-prem and local GPU clusters, using reproducible infrastructure as code and continuous delivery pipelines Implement observability (logs, metrics, traces) with dashboards and actionable alerting, including Prometheus metrics and Grafana/Alertmanager integration for LLM and GPU workloads Tune GPU and accelerator ...

regulated financial services environments Establishes engineering standards for LLM-based applications - RAG pipelines, embedding workflows, vector store integrations, and model serving - ensuring safety, observability, and reproducibility at scale Drives adoption of advanced technical methods and practices aligned with the latest industry standards and product development methodologies Serves as the function … more disciplines (e.g., cloud, AI/ML, data engineering) Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance Practical cloud-native ...

scale data processing, microservices, API design, and orchestration frameworks Working knowledge of relational and NoSQL databases, vector stores, and data lake architectures Familiarity with observability tools and frameworks Practical cloud-native experience (AWS, Azure, or GCP) Ability to communicate effectively with senior leaders and executives Commitment to inclusive, collaborative teamwork … catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints Familiarity with AI evaluation and observability practices for LLM workloads Understanding of agentic design patterns and how to constrain agent autonomy in financial workflows Interest in emerging technologies and continuous learning Employer ...

container orchestration, infrastructure as code and automation, you will help deliver secure, scalable and resilient services. You will also investigate complex technical issues, improve observability and reduce operational risk and manual effort. We are a multidisciplinary team looking for candidates with a broad mix of skills and experience. … server administration Cloud platforms, virtualisation and containers Infrastructure as code and configuration management Programming and scripting, such as Python, Bash or Go Monitoring, observability and SRE practices Infrastructure, networking and performance troubleshooting Secure, resilient and scalable system design Technical documentation and operational guidance Technical leadership and mentoring Beneficial skills include ...

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 ...

bottlenecks. Ensure operational readiness and change safety requirements are executed in delivery workflows, improving release outcomes and reducing change-related incidents. Drive delivery of observability improvements (metrics/logs/traces coverage, alert quality, dashboards) that improve signal quality and operational decision-making. Deliver measurable automation and toil reduction, increasing … design, and data analytics Deep experience in multi-cloud platforms, infrastructure services, automation, and operational tooling. SRE domain expertise: SLIs/SLOs, error budgets, observability, incident/problem management, operational readiness, and reliability analytics. Proven transformation leadership across matrixed, global organizations; strong executive communication and stakeholder influence. ABOUT US J.P. ...