1,626 to 1,650 of 1,773 Permanent Observability Jobs

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 ...

Anaplan\'s platform and third-party integrations Optimise model inference pipelines for performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands … Experience with A/B testing and experimentation frameworks for AI features Contributions to open-source ML projects or research publications Experience with model observability tools (LangSmith, W&B;, MLflow) DEIB Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering ...

topology. Engineer for Reliability at Scale: Make distributed inference dependable across failure domains (fault handling, graceful degradation, load balancing, and recovery), and define the observability, tracing, and tooling standards that let teams diagnose problems across the runtime, network, and accelerator rather than through logs alone. Drive Bring-Up: Evaluate system … Nice to have Experience with dataflow or non-GPU accelerator architectures; pre/post-silicon bring-up on custom hardware (ASIC/FPGA); production observability at scale (hardware counters, Prometheus/Grafana-style export, device and cluster views). Adjacent depth is welcome: HPC cluster design, high-speed networking, distributed ...

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. Leadership & Collaboration Lead, coach and develop … 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 ...

right. You'll build systems that turn usage and commercial agreements into accurate, auditable invoices, and you'll build the checks and observability that keep them trustworthy as we scale. You'll also work well beyond billing itself, building integrations with other backend systems like our ERP and Data Platform … understand that billing and revenue systems have little room for error, and you design for it — with clear data models, good tests, and observability built in. You enjoy working across teams. You can talk to Finance or Business Development, understand what they need, and turn a commercial model into something ...

resilience outcomes. Drive operational excellence at scale for perimeter, proxy, and SSE services in the US, including incident, change, and problem management rigor, observability and resiliency validation practices, automation to improve repeatability and evidence quality, reduction of client and partner impact, and execution of Technology Lifecycle Management (TLM) and modernization … design, exception frameworks, audit‐ready traceability, and measurable risk reduction reporting. Experience with large‐scale operations for externally facing or security enforcement services, including observability strategy, resilience testing, incident response alignment, and reduction of repeat incidents and client‐impacting events. Experience designing and operating hybrid edge architectures and cloud interconnect ...

search layer used to ground agent responses in approved data sources.\* Delivering a production Internal MCP Gateway providing discovery, security, policy enforcement, observability, and lifecycle management for MCP tools and Skills.\* Designing and building MCP servers and Skills that expose internal and vendor systems safely to agents.\* Establishing evaluation, quality … Compliance stakeholders to validate and approve designs. \* Represent solutions in governance forums, clearly explaining architecture, risks, and controls. \* Ensure solutions meet security, resilience, scalability, observability, and compliance requirements. \* Align implementation with approved design, maintaining traceability and documentation integrity. \* Partner with ML, Quality, and SRE teams to ensure designs are deliverable ...

performance, stability/crash rates, startup time, build/release velocity, or app size . Increased confidence in production through better observability, incident response practices, and ownership . Enabled other FE engineers to move faster through documentation, pairing/mentorship, reviews, and reusable platform components . What … traffic/user counts, complex feature sets) with a focus on reliability and performance. Demonstrated production ownership : incident response, debugging complex issues, and improving observability (metrics/logs/traces). Experience improving delivery systems (CI/CD, automated testing strategy, release process) and keeping teams moving. Staff-level ...

United States Digital Space LLC seeks a Director of Software Engineering to lead impactful projects within the Observability Platforms team at JPMorgan Chase. This role involves leading cross-functional teams, driving AIOps innovation, and implementing complex technical solutions across the firm. The ideal candidate will have extensive experience in observability ...

As a member of the CIO Technology Engineering senior leadership team, the Head of AI Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms ...

At the company, we believe in reusability, in affordability driving disruption, and that no progress is real unless it is sustainable. Our company was founded in 2018 out of the realization that in-orbit servicing ...

Onyx-Conseil is seeking a Platform/Backend Engineer in London for a 12-month contract. You will work on Java-based microservices, AWS, and Kubernetes in a full-time on-site role at Central ...