1 to 25 of 210 Observability Jobs in Scotland

eliminate platform bottlenecks. Define and promote paved paths and self-service workflows for developers. Implement real-time telemetry pipelines and workflows for platform observability and analytics. Champion adoption of productivity tools through documentation, training, and engagement with the developer community. Standardize use of AI-assisted coding tools and AI-powered ...

eliminate platform bottlenecks. Define and promote paved paths and self-service workflows for developers. Implement real-time telemetry pipelines and workflows for platform observability and analytics. Champion adoption of productivity tools through documentation, training, and engagement with the developer community. Standardize use of AI-assisted coding tools and AI-powered ...

eliminate platform bottlenecks. Define and promote paved paths and self-service workflows for developers. Implement real-time telemetry pipelines and workflows for platform observability and analytics. Champion adoption of productivity tools through documentation, training, and engagement with the developer community. Standardize use of AI-assisted coding tools and AI-powered ...

issues and partnering with development teams to resolve them. Maintain and monitor asset inventory across environments. Monitor, troubleshoot, and remediate issues using Splunk and observability/monitoring platforms such as Datadog, Dynatrace, or Grafana. Support cost rationalization efforts; partner with architects to gather, clarify, and translate technical requirements. Proficient with ...

with good understanding of REST APIs Hands-on experience with cloud-based technologies and tools especially in deployment, monitoring and operations, such as Google Observability, Azure Monitor, Data Dog, Prometheus, Splunk, Elasticsearch and Grafana. Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g. ...

with good understanding of REST APIs Hands-on experience with cloud-based technologies and tools especially in deployment, monitoring and operations, such as Google Observability, Azure Monitor, Data Dog, Prometheus, Splunk, Elasticsearch and Grafana. Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g. ...

Experience with containerization and orchestration tools such as Docker and Kubernetes Understanding of Infrastructure as Code tools (e.g., Terraform) and environment provisioning Experience with observability tools and concepts (logging, metrics, tracing, OpenTelemetry) Exposure to integrating AI capabilities (semantic search, retrieval-based Q&A, content summarization) with attention to quality, privacy ...

drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. Drives continuous improvement in system observability, alerting, and capacity planning. Collaborates with engineering and data teams to optimize infrastructure and deployment processes, focusing on automation and operational excellence. Performs platform design ...

design, query optimization, indexing, and transaction managementDemonstrated experience building AI solutions using large language models in production environments, including quality assurance, safety controls, evaluation, observability, and cost managementStrong API and microservices engineering experience, including service design, contract definition, security patterns, performance tuning, and distributed system observabilityHands-on multi-cloud experience ...

drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. Drives continuous improvement in system observability, alerting, and capacity planning. Collaborates with engineering and data teams to optimize infrastructure and deployment processes, focusing on automation and operational excellence. Performs platform design ...

with infrastructure-as-code tools such as Terraform or AWS CloudFormation Familiarity with containerization and orchestration technologies such as Docker and Kubernetes Exposure to observability and monitoring practices using tools such as Datadog, Splunk, or equivalent platforms Experience contributing to or leading architectural decisions in a large, matrixed enterprise environment ...

clean architecture, maintainability, and production readiness. Nice to Have - Experience with Kubernetes, Docker, or cloud-native environments (AWS/GCP). - Exposure to observability tools (Prometheus, Grafana, Open Telemetry). - Scripting experience in Python for automation or data analysis. - Exposure to Prompt Engineering and Agentic AI - Interest in financial systems ...

Cloud platforms (AWS, Azure or GCP CI/CD pipelines using tools such as Jenkins or GitLab CI Git and modern software development workflows Observability tooling including logging, metrics and distributed tracing Comprehensive testing across unit, integration and functional layers Maven or Gradle Java concurrency and JVM performance fundamentals Experience ...

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 ...

experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to applyExperience with observability, monitoring and SRE practicesExperience with Backstage or similar developer portal technologiesKnowledge of DevSecOps, platform security and policy-as-code approachesExperience building reusable developer self-service capabilities ...

skills (Python, Bash, PowerShell or similar). And any of these would be great: Experience with Backstage or similar developer portal technologies. Experience with observability, monitoring and SRE practices. Knowledge of DevSecOps , platform security and policy-as-code approaches. Experience building reusable developer self-service capabilities, templates and golden paths. ...

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 ...

management (IAM), and encryption techniques Microsoft Azure certifications are a plus Experience working in regulated or security-conscious enterprise environments Experience with monitoring and observability tooling such as Datadog or similar platforms Benefits of working at Canada Life We believe in recognising and rewarding our people, so we offer ...

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 ...

more of AWS, Azure and/or GCPAutomation & IaC: Terraform, Ansible, Puppet; CI/CD pipelines (Jenkins, GitHub Actions).Observability & Monitoring: Experience integrating observability and monitoring solutions (Splunk, Prometheus, Loki, Grafana).AI & Advanced Analytics Exposure: LLM Integration: Retrieval-augmented generation, fine-tuning, prompt engineering. Generative AI: Building and deploying generative ...

Kernel, and related ecosystems. Experience building and scaling enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users. Strong understanding of model observability, monitoring, evaluation frameworks, experimentation, reliability, and operational perfection. Expertise in cloud-native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure ...

potential extension) Start Date: Immediate Key Responsibilities Design, build and maintain highly available cloud infrastructure across multi-cloud environments. Drive SRE best practices including observability, resilience, reliability engineering and automation. Develop and maintain Infrastructure as Code (IaC) solutions using Terraform. Build and enhance automation tooling using Python. Support cloud platform ...

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 ...

products through code reviews, technical design, and pairing with peers and junior engineers Establishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm-wide standards Acts as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities ...