1 to 25 of 100 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 ...

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 ...

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 ...

practice and facilitating workshops, learning and knowledge transfer across teams. Strong working knowledge of continuous delivery, cloud-native engineering, infrastructure as code, automated testing, observability, secure software development and service resilience. Practical experience with AWS, GitLab or similar CI/CD platforms, APIs, containers and at least one of Java ...

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 ...

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 ...

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 ...

RabbitMQ Docker and containerised application development 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 ...

Bring Significant commercial experience in software engineering and technical leadership. Strong knowledge of cloud-native development, CI/CD, infrastructure as code, automated testing, observability and secure software development. Practical experience with AWS, GitLab or comparable platforms, APIs, containers and modern programming languages. Experience coaching and mentoring teams with different ...

Bring Significant commercial experience in software engineering and technical leadership. Strong knowledge of cloud-native development, CI/CD, infrastructure as code, automated testing, observability and secure software development. Practical experience with AWS, GitLab or comparable platforms, APIs, containers and modern programming languages. Experience coaching and mentoring teams with different ...

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 ...

pipelines, Git, and automated testing frameworks. Familiarity with Infrastructure as Code (IaC) and Azure infrastructure management tools. Exposure to application performance monitoring tools and observability platforms. Qualifications Exhibit strong proficiency in Net Framework and C sharp with extensive experience building large scale enterprise applications for financial or insurance organizations Demonstrate ...

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 ...

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 ...

.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 ...

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 ...

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 ...

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 ...