1 to 25 of 82 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 ...

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 ...

.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 ...

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 ...

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 ...

OpenShift , RabbitMQ , PostgreSQL , Jenkins and GitLab CI/CD. Proven experience designing APIs, event-driven architectures and cloud-native applications. Strong understanding of DevOps, observability tools, Grafana/Kibana and software quality practices. Experience modernising legacy systems and delivering software within Agile environments. Excellent communication, collaboration and problem-solving skills. ...

Agile development experience Excellent communication and technical leadership skills A genuine passion for mentoring and improving engineering teams Experience with Kubernetes, Docker, observability tools, .NET/C#, AI-assisted development tools or real-time software platforms would be highly beneficial. What's on Offer Salary ...

deploy, support, and operate services end‐to‐end. Highly Valued Technical Skills Integration & Messaging Technologies. Experience with messaging systems (e.g., EMS, Kafka, MQ). Observability & Production Support. Experience with monitoring and logging tools (e.g., DataDog, Prometheus, Grafana, Splunk, CloudWatch). Strong incident management, root cause analysis, and production support practices. ...

skills, with the ability to influence at senior levels Nice to Have Experience operating in highly regulated or security-conscious environments Exposure to AI observability, explainability and responsible AI tooling Experience supporting predominantly remote or hybrid workforces at scale Background working within software, technology or climate tech organisations Why Join ...

tools such as CloudFormation, Terraform, and AWS CDK. Manage and orchestrate containerized applications using Kubernetes (K8s) on AWS (EKS). Build and shape the observability & real-time telemetry platform 2. Secure by Design Develop and enforce security policies and procedures for cloud and local network environments. Administer and manage firewalls ...

creative thinking Preferred Qualifications, Capabilities, and Skills: Experience in financial services or Trading technology. Knowledge of distributed systems and microservices architecture. Understanding of observability and telemetry principles Interest in financial markets and trading workflows. Interest in low‐latency or high‐throughput systems. ABOUT US J.P. Morgan is a global leader ...

Experience : Develop platform CLI tools and pipeline templates; maintain base container images used for ML workloads; improve developer workflows for ML engineers and scientists. Observability, Security & Governance : Implement monitoring, logging, and alerting across orchestration systems; maintain infrastructure as code for platform resources; ensure workloads are traceable to source code, container ...

support critical business operations. This is a hands-on technical leadership role where you will drive cloud modernisation, automation, Infrastructure as Code (IaC), FinOps, observability, and platform governance. You'll work closely with architects, internal teams, and managed service providers to improve reliability, optimise cloud expenditure, enhance security, and ensure ...

workflow, plus familiarity with cheminformatics tooling (e.g. RDKit, OpenEye) — or willingness to pick these up. MLOps fluency: experiment tracking, data versioning, model serving, and observability of deployed models. A visible track record in the field — peer‐reviewed publications, open‐source contributions, or public projects that demonstrate your judgement on real ...

tools and prompt changes. It means the SLOs and on-call practice that make reliability an asset commitment rather than a hope, and the observability that makes AI-specific failure modes visible, including drift, silent quality regression, cost blowouts and agent loops. You'll be the operational conscience … Take part in the programme's on-call rotation, and build runbooks clear enough that someone else can use them at 3am. AI-specific observability: Instrument latency, token usage, cost per request, model and agent error rates, retrieval quality and drift, with dashboards and alerting that surface problems before users ...

integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch reliability and observability for our most critical platforms. As a Senior Lead Site Reliability Engineer at JPMorgan Chase within the Commercial & Investment Bank, you are an integral part of an agile … significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of reliability, observability, and performance challenges that span multiple technologies and applications. Job responsibilities Regularly provides technical guidance and direction on site reliability practices to support the business ...

services or Trading technology. Knowledge of distributed systems and microservices architecture. Knowledge of core Java and/or object-oriented design principles. Understanding of observability and telemetry principles. Interest in financial markets and trading workflows. Interest in low-latency or high-throughput systems. #J-18808-Ljbffr ...