1 to 25 of 118 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 ...

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 ...

next phase of growth, are written to 12-factor principles and fit into our microservices architecture \n Cloud-related tools, services, and distributed system observability to support these applications, such as Docker, Kubernetes,ElasticSearch, log management systems, and Datadog APM, to name but a few \n API specifications, conforming ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

DevOps engineering expertise, embedding modern practices such as Infrastructure as Code, Policy as Code, CI/CD, API-driven automation, automated testing, and observability into all solutions. Own and drive the technical product roadmap for infrastructure and tooling across the secure enterprise browser and server security products and services ...