1,701 to 1,725 of 1,869 Observability Jobs

systems within a highly regulated banking environment. The successful candidate will drive automation architecture decisions, framework re-engineering, reporting modernization, CI/CD integration, observability enhancements, and structured knowledge transfer while working closely with Solution Architects, Product Owners, Development Teams, and Business Stakeholders. Experience Required 12-15+ years total … Provide technical guidance to SDETs and Automation Engineers Conduct code reviews and architecture reviews Support troubleshooting and defect resolution Drive continuous improvement initiatives Reporting & Observability Implement HTML and JSON reporting capabilities Develop unified reporting dashboards Improve automation observability and diagnostics Introduce structured logging and correlation IDs Delivery Governance Manage risks ...

Title: Dynatrace/Observability Engineer Rate: £528 per day INSIDE Clearance Required: SC Eligible Duration: 6 months Location: Telford - 2 days min per month Mandatory Certifications: Dynatrace Associate Certification As a Dynatrace/Observability Engineer, you will be responsible for designing, implementing, and supporting monitoring solutions across a range ...

availability risks. Ensure telemetry data supports operational decision-making , including incident triage, root cause analysis, and proactive issue identification. Partner with Monitoring and Observability architects to align device telemetry with broader network health and observability models . Validate data accuracy, completeness, and timeliness; identify telemetry gaps and work with stakeholders ...

Design, build, and operate core GenAI platform components, including an LLM routing gateway, vector search and RAG infrastructure, tool registry and MCP gateway, AI observability and evaluation tooling, and infrastructure for long-running agentic workflows; Own production-quality delivery of platform features from design through rollout, monitoring, and follow … Contribute to resilient system design with sensible APIs, failure handling, rate limiting, retries, idempotency, and safe change management; Improve reliability and observability through metrics, dashboards, alerting, incident follow-ups, and operational improvements; Partner with Applied AI Engineers and product teams to understand platform needs and help them build AI-powered ...

enforce pre- and post-generation guardrails, managing the overarching governance of AI models operating within internal tools and platforms. Drive AI security and observability: Build out dedicated auth/permissions for internal AI agents, establish deep monitoring/observability pipelines, and define incident response protocols for AI‐specific anomalies. Verification … Inspect AI, Ragas, OpenAI Evals, NeMo Guardrails). Django experience and strong backend engineering patterns (security, performance, maintainability). Experience with Datadog for complex observability, tracing, and monitoring in AI environments. Familiarity with foundational AI engineering tooling like Pydantic AI, LiteLLM, or LangChain. Kraken is a certified Great Place ...

teams to deliver a reliable and secure login experience. Contribute to architectural decisions and long-term technical strategy for the Login Platform. Improve tooling, observability, scalability, and performance across critical infrastructure services. Explore and champion new ideas to evolve our systems responsibly over time. Engineers on the team are involved … throughout the software lifecycle, including design, deployment, observability, incident response, and long-term platform evolution. Our technologies We work primarily in C++ and some Python, running mostly on Linux, with continued support for Solaris clients until full migration is complete. Because we sit deep in the infrastructure stack ...

turn AI capability into real business impact. Key Responsibilities Responsibilities Design, build and maintain core AI platform components - LLM gateway, MCP connector layer, observability tooling, and privacy Proxy Develop and harden MCP connectors across data sources (M365, Salesforce, Moody's, internal systems) through PoC, pilot, and GA stages Build … production environments Experience building AI Solutions is essential Experience with agentic frameworks, tool use, and MCP or equivalent connector patterns desirable Familiarity with observability and evaluation tooling for AI systems Understanding of data platforms - Databricks or similar - and how to expose data safely to LLMs Security and governance awareness: prompt ...

production-grade AI systems using Amazon Bedrock, retrieval-augmented generation (RAG), agentic workflows, and cloud-native AWS services. Drive architecture standards, model orchestration, governance, observability, and operational excellence across the GenAI lifecycle while collaborating with engineering, security, compliance, and business stakeholders Hybrid working: The places that you work from … customization, prompt orchestration, retrieval pipelines, and agentic workflows Design agentic AI systems incorporating tool use, workflow orchestration, memory management, and autonomous decision flows Implement observability for prompts, model responses, vector retrieval quality, and agent execution workflows Integrate GenAI capabilities into enterprise applications, APIs, workflow platforms, and data ecosystems Work with ...

Python SQL Data Warehousing Data Lakes Data Pipelines APIs & Data Services Machine Learning Infrastructure AI & Machine Learning Systems Analytics Engineering Data Governance Data Observability Cloud-Native Architecture You'll Be Responsible For Designing and building scalable cloud-based data platforms. Creating robust ETL/ELT pipelines and data services. Developing … APIs and trusted data products for enterprise clients. Supporting machine learning and AI initiatives through high-quality data architecture. Establishing governance, lineage, quality and observability standards across the data estate. Working closely with Product, Engineering, Data Science and Leadership teams to influence strategic decisions. Helping define the long-term data ...

repetitive operational workflows across compute, storage, and networking layers. Integrate AI capabilities into CI/CD pipelines and infrastructure-as-code ecosystems. Data Engineering & Observability Build and maintain pipelines for high-volume telemetry data (metrics, logs, traces). Ensure data quality, labelling, and feature engineering for ML models. Leverage observability ...

infrastructure issues. Lead technical investigations and major incident recovery. Drive automation to reduce manual processes and improve operational efficiency. Develop and maintain monitoring, observability and alerting using tools such as Grafana. Coordinate the day-to-day priorities of the Platform Engineering team. Maintain engineering standards, documentation and operational procedures. Support … experience with Veeam Backup & Replication. Experience supporting highly available production infrastructure. Strong troubleshooting and problem-solving skills across enterprise infrastructure. Experience with monitoring and observability platforms such as Grafana. Experience automating operational tasks using PowerShell, scripting or similar technologies. Excellent understanding of backup, disaster recovery and platform resilience. Ability ...

ITSM change enablement workflows within Jira Service Management. Integrate change, incident, request, and CMDB/service management capabilities with monitoring, CI/CD, and observability platforms. Move change control from manual governance into platform‐enabled, policy‐driven guardrails that support speed, control, and regulatory confidence. Design, configure, and scale ITSM … Hands‐on engineering experience in JiraSM. Ability to design, configure, and scale ITSM workflows. Experience integrating ITSM platforms with monitoring, CI/CD, and observability tools. Experience automating service operations using scripting or workflow orchestration. Exposure to platform engineering, DevOps practices, and data models (CMDB) and service mapping in modern ...

agents and for storing agent memory. Azure API Management (APIM), particularly the secure exposure and management of large language models (LLMs). Azure observability, including Azure Monitor, Application Insights, and Azure Workbooks. Langfuse, including designing and conducting evaluations and assessing outcome quality and value relative to token usage and cost. … Datadog for logging, observability, and LLM analytics. RAG, vector databases, and advanced retrieval techniques. LiteLLM as an AI and Model Context Protocol (MCP) gateway. MCP gateways and their integration with MCP servers. Contemporary AI models-including, as of July 2026, Fable 5, GPT-5.6, and GLM-5-and an understanding ...

workflows across compute, storage, and networking layers . Integrate AI capabilities into CI/CD pipelines and infrastructure-as-code ecosystems . Data Engineering & Observability Build and maintain pipelines for high-volume telemetry data (metrics, logs, traces) . Ensure data quality, labelling, and feature engineering for ML models . Leverage … observability tools to inform AI systems . Reliability & Governance Define SLIs/SLOs for AI systems embedded in infrastructure workflows . Ensure robustness, explainability, and auditability of AI-driven decisions . Implement feedback loops to continuously improve model performance . AI-Driven SRE Enablement Develop ML/AI models ...

play a critical role in supporting high-frequency trading platforms across EMEA markets. This is an exciting opportunity to work with cutting-edge observability and service management technologies while contributing to the stability, resilience, and performance of mission-critical electronic trading systems. Role Description: As our Electronic Trading environment continues … measurable improvements in platform stability and reductions in incident volumes through continuous service improvement initiatives Champion automation, monitoring, and tooling enhancements to improve efficiency, observability, and operational control Collaborate with global teams, mentoring junior engineers and contributing to the development of overall engineering capability What we are looking ...

Agent-ready API products, reusable integration assets, and governed API catalogs AI-enabled integration patterns across Salesforce, Data, ERP, customer, operational, and platform domains Observability, policy enforcement, auditability, and compliance for AI-driven integration flows The manager will oversee a broad portfolio of APIs, connectors, MCP-enabled tools, and integration … routing, policy enforcement, and agent-to-system orchestration. Ensure AI-enabled integrations follow strong standards for identity, consent, access control, data minimisation, rate limiting, observability, and auditability. Provide architectural guidance on complex use cases involving multi-system orchestration, agent workflows, human-in-the-loop controls, and event-driven automation. Ensure ...

ready criteria through the Data Architect; run the Collibra dictionary, master & reference data operations and the governance council. Own data quality and observability: shift‐left checks, lineage and monitoring built in, not bolted on. Run data BAU — incidents, refreshes and access — baselined before any cost reduction is taken. Own data … access framework. Success measures Prioritized use cases delivered to production with named owner, evidence pack, run model and sunset criteria. Data quality, lineage and observability coverage across priority data products. Time from funded demand to production. Production reliability, incident rate and support performance. AI evaluation coverage, red‐team completion ...

agents and for storing agent memory. Azure API Management (APIM), particularly the secure exposure and management of large language models (LLMs). Azure observability, including Azure Monitor, Application Insights, and Azure Workbooks. Langfuse, including designing and conducting evaluations and assessing outcome quality and value relative to token usage and cost. … Datadog for logging, observability, and LLM analytics. RAG, vector databases, and advanced retrieval techniques LiteLLM as an AI and Model Context Protocol (MCP) gateway. MCP gateways and their integration with MCP servers Contemporary AI models—including, as of July 2026, Fable 5, GPT-5.6, and GLM-5—and an understanding ...

execution Deploy AI systems into cloud, on-premises, and air-gapped environments Build production-ready pipelines from data ingestion through to inference Experience with observability for AI systems, including agent behaviour, model performance, and failure modes Collaborate with engineers, product leads, and customers to translate requirements into working systems Contribute … with edge or offline AI deployments Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications MLOps experience - model evaluation, monitoring, reproducibility Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring) Experience with agent orchestration patterns and inter‐agent communication protocols (e.g.A2A) Familiarity with MCPs ...

adherence to security and compliance requirements.* Drive rapid experimentation with clear exit criteria; scale successful pilots into reliable, maintainable services using automated testing, observability and release practices.* Develop and manage strategic vendor and partner relationships, balancing build vs. buy decisions and negotiating commercial and risk terms that protect value.* Provide … including model risk management, privacy, data residency, human oversight and auditability.* Hands on understanding of AI/MLOps practices and platforms, including model lifecycle, observability, cost control, CI/CD, feature stores and data integration.* Experience defining and governing enterprise standards and architectures for AI platforms, APIs and integration, aligned ...

center offerings. Define European requirements for AI infrastructure software, including model serving, orchestration, workload management, developer tools, runtime environments, compilers, SDKs, containerization, Kubernetes integration, observability, benchmarking, security, and deployment workflows. Develop European messaging around performance, power efficiency, total cost of ownership, software maturity, deployment flexibility, openness, sovereignty, and integration with … serving, and performance optimization across latency, throughput, and power. Understanding of AI infrastructure software stack, including Linux, containers, Kubernetes, and cloud‐native deployment patterns, observability frameworks (e.g., OpenTelemetry), CNCF ecosystem, and integration with enterprise or hyperscaler data center control planes. Solid knowledge of server and system architecture, including ...

Maintain comprehensive documentation of design decisions, patterns, standards, and trade-offs. Define non-functional platform architecture standards covering resilience, backup/restore, disaster recovery, observability, service levels, auditability and operational readiness. Define platform security and privacy architecture in partnership with Cyber Security and Data Governance, including PII handling, access recertification … authority in environments transitioning from outsourced to in-house ownership is beneficial. Experience defining non-functional requirements and architecture patterns for enterprise-grade resilience, observability, disaster recovery, data lifecycle management and operational readiness. Experience using architecture decision records, design authorities, exception management and measurable standards adoption to embed architectural governance ...

other specialized workloads while remaining actively engaged in engineering and implementation. The role works across application delivery, cloud and infrastructure engineering, cybersecurity, networking, observability, reliability engineering, enterprise architecture, and external service providers to translate strategy and risk requirements into practical platform outcomes. Through design leadership, technical governance, mentoring, and partnership … other specialized workloads while remaining actively engaged in engineering and implementation. The role works across application delivery, cloud and infrastructure engineering, cybersecurity, networking, observability, reliability engineering, enterprise architecture, and external service providers to translate strategy and risk requirements into practical platform outcomes. Through design leadership, technical governance, mentoring, and partnership ...

technical approaches and implementation strategies. Support the successful delivery of new platform capabilities, integrations and international implementations. Drive continuous improvement across system performance, reliability, observability and operational excellence. Promote architecture decisions that balance customer experience, technical quality, speed of delivery and cost efficiency. Lead, coach and develop a multidisciplinary architecture … ability to engage credibly with development teams. Experience working with technologies such as AWS Lambda, Route 53 and wider AWS platform services. Knowledge of observability, monitoring and platform reliability approaches, with exposure to tools such as Datadog being advantageous. Experience balancing technical excellence with commercial considerations, including scalability, performance ...

adherence to security and compliance requirements.* Drive rapid experimentation with clear exit criteria; scale successful pilots into reliable, maintainable services using automated testing, observability and release practices.* Develop and manage strategic vendor and partner relationships, balancing build vs. buy decisions and negotiating commercial and risk terms that protect value.* Provide … including model risk management, privacy, data residency, human oversight and auditability.* Hands on understanding of AI/MLOps practices and platforms, including model lifecycle, observability, cost control, CI/CD, feature stores and data integration.* Experience defining and governing enterprise standards and architectures for AI platforms, APIs and integration, aligned ...