1 to 25 of 83 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 ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

.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 ...

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 ...

ASIC, MAS, or related frameworks.Experience building large-scale data processing and data-intensive applications.Experience with event-driven architectures, messaging platforms, and streaming technologies.Experience with observability, monitoring, and production support practices.Experience using AI-assisted software engineering tools to improve development productivity and software quality.Familiarity with artificial intelligence, large language models, intelligent ...

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 ...

automated testingImplement security best practices across the platform, including least-privilege access controls, secrets management, encryption, network segmentation, and auditabilityImprove platform reliability through observability tooling — logging, metrics, and tracing — alongside alerting, incident response practices, and performance and cost optimizationCollaborate with stakeholders to translate business and technical requirements into scalable platform ...

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 ...