1 to 25 of 135 Observability Jobs in Scotland

identify and 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 development ecosystems.Contribute ...

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 ...

along with good understanding of REST APIsHands-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., incident ...

Docker Compose.Exposure to Infrastructure as Code tools such as Terraform.Experience with CI/CD platforms including GitHub, GitLab, Jenkins, or similar.Familiarity with monitoring and observability tools for AI applications and services.Database TechnologiesExperience with vector databases such as ChromaDB, Pinecone, PGVector, Qdrant, MongoDB, or similar solutions.Familiarity with NoSQL databases.Experience working with ...

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 ...

programming or scripting capability (using Python, SQL or similar). Experience with DevSecOps practices, CI/CD pipelines and infrastructure as code. Familiarity with observability platforms, Security monitoring tools or large-scale data analytics frameworks. Understanding of distributed system #J-18808-Ljbffr ...

programming or scripting capability (using Python, SQL or similar). Experience with DevSecOps practices, CI/CD pipelines and infrastructure as code. Familiarity with observability platforms, Security monitoring tools or large-scale data analytics frameworks. Understanding of distributed system or event-driven architectures. Experience mentoring or supporting the development ...

knowledge using tools like Terraform or Ansible to automate infrastructure tasks.Containerisation and Orchestration: Knowledge of Docker and Kubernetes for application deployment and management.Monitoring and Observability: Experience with tools such as Azure Monitor, ELK stack, or similar to monitor system health, analyse logs, and troubleshoot production issues.Programming ,Scripting and Infrastructure ...

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 ...

LangChain, Semantic 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 AI Search ...

CQRS, and domain‐driven design Experience with hyperscale cloud platforms (AWS/Azure/GCP), container orchestration (Kubernetes), service mesh, CI/CD, IaC, observability, and platform engineering Strong knowledge of real‐time streaming (Kafka/Pulsar), batch analytics, MLOps, model governance, and responsible AI patterns Security and resiliency expertise ...

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

lakehouse, CQRS, and domain-driven designExperience with hyperscale cloud platforms (AWS/Azure/GCP), container orchestration (Kubernetes), service mesh, CI/CD, IaC, observability, and platform engineeringStrong knowledge of real-time streaming (Kafka/Pulsar), batch analytics, MLOps, model governance, and responsible AI patternsSecurity and resiliency expertise: zero trust ...

with depth in disciplines such as cloud, AI/ML, or data engineeringExperience 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 governancePractical ...

.NET) Deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplines Proficiency and hands‐on experience in observability practices including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, or Splunk Proficiency ...

including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations Preferred qualifications, capabilities, and skills Experience with observability and production support practices, including monitoring, logging, alerting, performance tuning, and structured incident and problem management in enterprise systems Exposure to cloud-native patterns, containerization ...

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 ...

Boot, .NET)Deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplinesProficiency and hands-on experience in observability practices including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, or SplunkProficiency ...

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

rollbacksContribute to infrastructure-as-code using Terraform within established team patterns across modules, environments, and state managementImprove operability of services by adding and using observability tooling including logs, metrics, traces, dashboards, and alerts, and participate in incident response and root-cause analysisLeverage enterprise-authorized AI coding assist tools within ...

direction of senior engineersWrites secure, high-quality production code and maintains algorithms that run synchronously with appropriate systemsContributes to model evaluation, guardrail testing, and observability tasks to firm-wide Responsible AI standardsParticipates in agile ceremonies, code reviews, and technical design discussionsGathers, analyses, and draws conclusions from data to support feature ...

engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectationsPreferred qualifications, capabilities, and skillsExperience with observability and production support practices, including monitoring, logging, alerting, performance tuning, and structured incident and problem management in enterprise systemsExposure to cloud-native patterns, containerization ...

with data sources and services across the firm, including enterprise AI and large language model gatewaysOwn quality across your components: automated testing, code reviews, observability, and resilient, secure service designPartner with Corporate Technology AI, product, and data science colleagues to translate concrete use cases into working, measurable capabilitiesContribute to design ...

Sonar, and enterprise-approved AI code assistantsHands-on experience with monitoring, tracing, and troubleshooting tools such as log aggregation platforms, API testing tools, and observability dashboardsHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ...