1 to 25 of 104 Observability Jobs in Glasgow

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 ...

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. ...

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. ...

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 ...

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 ...

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 ...

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 ...

principles including REST best practices, versioning, and backward compatibility Experience with relational and/or NoSQL databases, including indexing, transactions, and migrations Familiarity with observability tooling such as distributed tracing, log aggregation, and metrics platforms Experience with containerization and orchestration technologies such as Docker and Kubernetes Experience writing unit, integration ...

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 ...

design principles including REST best practices, versioning, and backward compatibilityExperience with relational and/or NoSQL databases, including indexing, transactions, and migrationsFamiliarity with observability tooling such as distributed tracing, log aggregation, and metrics platformsExperience with containerization and orchestration technologies such as Docker and KubernetesExperience writing unit, integration, and contract tests ...

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 ...

Life Cycle toolchain, including approved AI‐assisted development and automation capabilities, Set engineering standards for testing strategy, CI/CD, secure‐by‐default practices, observability, and backwards‐compatible versioning across shared libraries Coordinate change across teams and codebases by breaking features into well‐scoped, contract‐first workstreams and aligning ...

.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 ...