51 to 64 of 64 Observability Jobs in Edinburgh

data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated ...

Software Engineering Director to drive the teams behind performance, reliability and architecture powering FanDuel Sportsbook. You will lead multiple engineering teams across Performance, Observability, and Modularisation, delivering fast, reliable customer experiences at scale. You will coach engineers, shape strategy, and make critical technical decisions to enable hundreds of engineers across ...

platform engineering capabilities that improve consistency, reliability, and speed of delivery. Develop AI-enabled operational capabilities that support network investigation, incident response, change validation, observability, and workflow automation. Define architecture standards, engineering patterns, and technology roadmaps for enterprise-wide adoption. Partner with cloud, security, infrastructure, application, and operations teams globally. … platforms. Exposure to platform engineering, GitOps, event-driven automation, or self-service infrastructure models. Interest or experience in AI-enabled operations, AI agent workflows, observability platforms, knowledge systems, or intelligent automation. Experience working in a regulated, global enterprise environment. What We Value Engineering ownership and accountability. A builder’s mindset ...

aligned with firmwide risk and compliance standards Implement and maintain infrastructure as code and automation to ensure repeatable, auditable platform provisioning Build and operate observability, monitoring, and alerting solutions for AI platforms, ensuring availability, performance, and cost transparency Collaborate with Security and Risk partners to integrate identity, access controls, data … cloud compute, networking, storage, and security services. Understanding of ML platform operations and governance concepts, including model deployment strategies, lifecycle management, monitoring/observability, and Disaster Recovery Experience supporting LLMs, generative AI platforms, or model serving infrastructure. Experience supporting AI and machine learning workloads, with exposure to managed compute ...

centric digital experiences that align with business objectives. Engineering Excellence Guide development teams through architectural implementation and technical challenges. Establish CI/CD, testing, observability, and quality engineering practices for UI applications. Lead performance optimisation initiatives, including Core Web Vitals improvements. Ensure maintainability, scalability, and resilience of front-end solutions. … REST APIs GraphQL OAuth2/OpenID Connect Enterprise SSO solutions Quality & Performance Web accessibility (WCAG) Core Web Vitals Automated testing frameworks Performance monitoring and observability Preferred Experience Large-scale financial services, banking, asset management, or regulated industry experience. Experience with Adobe Experience Manager (AEM) Headless CMS. Experience delivering enterprise digital ...

container orchestration, infrastructure as code and automation, you will help deliver secure, scalable and resilient services. You will also investigate complex technical issues, improve observability and reduce operational risk and manual effort. We are a multidisciplinary team looking for candidates with a broad mix of skills and experience. … server administration Cloud platforms, virtualisation and containers Infrastructure as code and configuration management Programming and scripting, such as Python, Bash or Go Monitoring, observability and SRE practices Infrastructure, networking and performance troubleshooting Secure, resilient and scalable system design Technical documentation and operational guidance Technical leadership and mentoring Beneficial skills include ...

deployment, monitoring, and adoption across the firm. Translate emerging AI capabilities into robust, scalable solutions that deliver measurable business impact. Define evaluation, testing, and observability approaches for AI systems, including non-deterministic and agentic applications. OptimizeAI systems and workloads for latency, throughput,computeefficiency, reliability, security, and cost. Partner with business … with research teams in fast-moving environments, ideatingquickly on research prototypes. Generative AI, large language models, AI agents, and architectures forproductionAI systems. Evaluation, experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. Machine learning and optimization frameworks such asPyTorch, TensorFlow, or JAX. ...

deployment, monitoring, and adoption across the firm. Translate emerging AI capabilities into robust, scalable solutions that deliver measurable business impact. Define evaluation, testing, and observability approaches for AI systems, including non-deterministic and agentic applications. Optimize AI systems and workloads for latency, throughput, compute efficiency, reliability, security, and cost. Partner … fast-moving environments, ideating quickly on research prototypes. Generative AI, large language models, AI agents, and architectures for production AI systems. Evaluation, experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. Machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX. ...

deployment, monitoring, and adoption across the firm. Translate emerging AI capabilities into robust, scalable solutions that deliver measurable business impact. Define evaluation, testing, and observability approaches for AI systems, including non-deterministic and agentic applications. Optimize AI systems and workloads for latency, throughput, compute efficiency, reliability, security, and cost. Partner … fast-moving environments, ideating quickly on research prototypes. Generative AI, large language models, AI agents, and architectures for production AI systems. Evaluation, experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. Machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX. ...

team, and moving from reactive firefighting to proactive reliability engineering. This hands-on role focuses on monitoring, incident management, on-call rotations, and driving observability with SLIs/SLOs while maintaining a blameless culture and strong ownership. #J-18808-Ljbffr ...

using containers and modern cloud/platform technologies Implement and maintain CI/CD pipelines for automated testing, deployment and release management Establish strong observability, monitoring, logging and alerting capabilities Contribute to technical design reviews, engineering standards and best practices Work closely with AI Engineers, Data Scientists, Enterprise Architects, Security … OAuth, SAML and SSO API Gateways and enterprise integrations Cloud-native development CI/CD and DevOps practices Distributed systems and high-availability architectures Observability, monitoring and operational tooling Enterprise Integration Platforms AI/Agent Orchestration Platforms Why Join? This is an opportunity to work on a next-generation enterprise ...

across the business adopt AI solutions safely and effectively. This is a hands-on engineering role that combines feature delivery with responsibility for resilience, observability, governance and measurable outcomes. You’ll work closely with Product Owners, Architects, Engineers, Security teams and business stakeholders to deliver secure, scalable and reliable platform … applications, APIs, services or platforms. Experience using logs, metrics, traces and telemetry to improve platform performance and reliability. Experience designing solutions with resilience, scalability, observability and operability in mind. Evidence of improving the dependability of production systems through practical engineering changes. A track record of delivering technology capabilities into production ...

Infrastructure Engineer You’ll engineer infrastructure technology for public and private cloud environments, complying with security, resilience, sustainability, and operational requirements with observability and guardrails built in You’ll also use automation to provide testing and a route to live for the product, working with customers to help them … your work You’ll engineer infrastructure technology for public and private cloud environments, complying with security, resilience, sustainability, and operational requirements with observability and guardrails built in You’ll also use automation to provide testing and a route to live for the product, working with customers to help them ...

harnesses and test suites that measure agent correctness, safety and regression before anything ships. Own AgentOps/DevSecOps: CI/CD for agents, versioning, observability and telemetry, shift-left security, and responsible AI governance baked in from day one. Run a continuous, adaptable feedback loop: feed production telemetry, evals … Eval-driven development: designing evaluation harnesses and measuring agent quality, safety and reliability. Standards-based integration and DevSecOps: APIs, secure auth, CI/CD, observability and AgentOps. Ability to conceptualize a business problem as an agent quickly, and operant effectively in ambiguous, customer-embedded settings. Client-facing maturity: translates fluidly ...

other sources Apply the A2A (Agent-to-Agent) protocol to enable interoperability between agents across systems and workflows Instrument AI systems with observability and tracing tooling — CloudWatch, spans, and traces — to support debugging, performance monitoring, and compliance requirements Integrate LLMs into client applications through prompt engineering, context management, and function … strong, applied proficiency in an AWS and AI context AWS infrastructure — working knowledge of Lambda, DynamoDB, and S3 as components of AI system backends Observability — experience instrumenting AI systems with tracing, logging, and monitoring tooling (CloudWatch preferred) LLM integration — prompt engineering, tool/function calling, context window management, and output ...

role for someone who loves solving hard engineering problems at scale. You'll lead multiple engineering teams responsible for app performance and stability, observability, and the modular architecture that enables hundreds of engineers across multiple geographies to build and ship quickly, safely and with confidence. Your mission is simple: make … love to talk. THE GAME PLAN Everyone on our team has a part to play Lead multiple engineering teams across two strategic missions, Performance & Observability and Modularisation & Operational Efficiency, setting a clear technical vision for each and holding delivery to it. Own the performance of the Sportsbook ...

hackajob is partnering directly with BlackRock to hire for this role. About this role We are seekinganAssociate,Identity SecurityEngineer to joina major identitymodernisationprogramme, migrating from SailPointIdentityIQto SailPoint Identity Security Cloud. This is a hands-onengineeringrole ...