1 to 25 of 163 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 ...

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 ...

Agentic AI in a ELT/ETL capacity (Preferred) Exposure to Kafka or streaming platforms from an infrastructure or operational perspective (Preferred) Experience with observability tooling (logging, metrics, alerting) for cloud platforms (Preferred) Understanding of FinOps, cost optimisation, and capacity management in AWS (Preferred) Familiarity with data governance tooling such ...

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. ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...