1 to 25 of 32 Permanent Observability Jobs in the City of Westminster

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 ...

using Databricks & Spark Convert requirements into clear technical designs and conceptual data models Ingest large, complex datasets and automate manual processes Improve data quality, observability, reliability, and delivery performance Champion a build‐once‐consume‐many culture across the platform Collaborate with stakeholders to solve data‐related engineering challenges Contribute ...

representing engineering in program reviews and governance forums. Own end to end delivery of mission critical softwarefrom requirements and architecture to implementation, testing, deployment, observability, and reliabilitywhile ensuring compliance and operational excellence. Raise engineering excellence and resilience: enforce best practices and automation across code, testing, microservices/APIs, performance ...

Deploy and operate workloads across Kubernetes (AKS) and Azure PaaS, using infrastructure as code, automated CI/CD, and instrumentation across logging, tracing, evaluation, observability, and cost. Apply enterprise‐level security, entitlement, data governance, and audit standards appropriate for a regulated and highly confidential investment environment. Champion engineering excellence across ...

with tools such as S3, Lambda, Glue, Athena, Iceberg, Vertex AI, BigQuery, GCS, Cloud Run, or Pub/Sub. Experience with AI/ML observability and evaluation tools such as MLflow, LangSmith, LLM-as-a-Judge, guardrails, or production monitoring. Exposure to fine-tuning or continuous learning techniques, such ...

degradation, autoscaling behaviors, incident follow-ups, and runbooks. Contribute to system design by breaking down ambiguous problems, proposing approaches, and making pragmatic tradeoffs. Add observability with metrics, tracing, logging, dashboards, and actionable alerts tied to SLOs. Support safe deployments through CI/CD improvements, canarying, feature flags, backward compatibility ...

while keeping strong human accountability for high-risk decisions, verification, and final quality Build software with a reliability-first mindset, incorporating secure coding practices, observability, testing, and disciplined rollout/rollback strategies Ensure production systems meet required levels of resiliency, performance, scalability, and operability To be successful in this role ...

testing, documentation and code organisation. Responsible for evolving those standards over time, protecting core principles while adapting to new tools and approaches. Ensure appropriate observability, logging and error-handling patterns are in place across applications. Responsible for ensuring documentation exists where it adds long-term value, and remains accurate. Problem ...

leads continuous improvement initiatives that improve delivery flow, reduce toil, and strengthen developer experience. Advises on tooling, methodologies, and engineering processes. Designs robust observability frameworks using logs, metrics, tracing, and actionable alerting to ensure cross-system visibility. Guides others in troubleshooting complex, multi-layer issues, drives improvements for reliability ...

Develop and operationalise LLM applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build evaluation frameworks and observability solutions to monitor model quality, reliability, latency, drift, and business impact. Evaluate trade-offs between model quality, scalability, latency, and infrastructure cost when developing ...

ability to influence across technical and non-technical audiences in complex, regulated environments. Strong technical background in modern production environments including cloud-native infrastructure, observability, CI/CD pipelines, and automation frameworks. Proven track record defining and governing production management standards change, incident, capacity, and automation across multiple engineering teams ...

/CD pipelines, delivering a production-ready environment with a clear promotion path. You will automate, secure deployments across AWS/Snowflake, drive observability, and optimize costs while collaborating with product and data engineers to keep shipping safely and fast. #J-18808-Ljbffr ...

wider strategy and commitments. Operational Excellence: Setting high standards and driving engineering best practice across the AI platform stack. This includes focusing on observability (monitoring, logging, tracing) for the cloud-native solution, participating in peer reviews, and facilitating the maintenance of engineering standards, reliability, and performance. Squad Empowerment: Contributing ...

documenting architecture artefacts for business and technical audiences. Architecture Skills Application architecture: DDD, modular monoliths, microservices, API gateways. Non-functional architecture: scalability, resilience, observability, DR, SLAs. Technical architecture: reference models, interim and target-state design, roadmaps. DevOps : manage architecture deliverables, decisions, and cross-system dependencies as Azure DevOps work items ...

help drive a culture of continuous improvement. You'll also play a key role in scaling Curve's platform for millions of customers, improving observability, accelerating engineering teams through automation, and ensuring our services remain secure, resilient and highly available. Why Join us? If you think all banks … Experience working with Amazon Web Services and Google Cloud Platform Experience supporting Kubernetes (EKS) environments and service mesh technologies such as Istio Knowledge of observability tooling including Prometheus, Grafana or Coralogix Experience with PostgreSQL, MongoDB or HashiCorp Vault Experience using GitLab, Flux or Helm within CI/CD pipelines Knowledge ...

with product managers to deliver reliable, scalable systems. You will work across Kubernetes clusters, cloud integrations, and multi-tenant considerations, with a focus on observability, testing, and runbooks. #J-18808-Ljbffr ...

automation frameworks within an engineering team to expand operational scope and reduce toilExperience managing on-call rotations, defining service-level objectives, and implementing observability and alerting improvements at scaleFamiliarity with container orchestration, service mesh architectures, or large-scale deployment pipelines in a production environmentExperience adhering to and implementing responsible, ethical ...

Server, SharePoint 2019 VMware: VMware Cloud Foundation vSphere, ESXi, NSXT, and vSAN Endpoint & Configuration: Windows 10 & 11 Microsoft Endpoint Configuration Manager (MECM) Monitoring & Observability: Microsoft System Centre Operations Manager (SCOM) PKI Technologies: Microsoft Certificate Services, Hardware Security Modules (HSMs), and lifecycle key management Security Clearance This role is subject ...

across product and engineering, and deliver integrated solutions that span multiple services or domains. Experience defining and enforcing engineering standards for operational excellence, including observability, incident management, on‐call practices, and post‐incident learning. Comfort operating in a fast‐moving, evolving organization — able to take on ambiguous, high‐priority problems ...

cyber recovery, resilience testing and recovery assurance for critical mainframe services. Core banking, mortgages, payments or other high-volume transactional services. Automation, monitoring and observability within enterprise mainframe environments. We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise ...

Manager, EventBridge provisioned as code, sized sensibly, and cost‐aware (you'll make the calls on things like NAT vs VPC endpoints). Own observability and reliability. CloudWatch alarms and dashboards, SNS alerting, data freshness and quality signals, and automated recovery for the pipelines that need it. When something breaks … deliberate applies, and easy rollbacks. Everything is code. Infrastructure, pipelines, access, and policy all live in version control and ship through review. Observability first. If we run it, we can see it - and we get told before our users do. You own what you ship. Strong ownership, low ceremony. ...

Site Reliability Engineer to help build, scale and operate the platforms powering Curve's products and services. This role focuses on reliability, security, and observability across our cloud-native stack, with a hybrid work model allowing UK-based remote work and partial office attendance. You will collaborate with engineers, product ...

definition, and performance optimization for high-scale enterprise platforms. Experience with API lifecycle management, OAuth/SSO, developer portals, certification, SDKs, event-driven systems, observability, or partner data access. Experience operating across globally distributed teams and time zones. With millions of diners, 70,000+ restaurant partners and 25+ years ...

undergoing a multi year convergence and modernization journey. You will play a pivotal role in shaping our next generation SRE patterns, reliability frameworks, observability strategy, and performance engineering capabilities across globally distributed systems. This role is ideal for an SRE specialist who thrives in fast paced front office environments, enjoys … Deep knowledge of reliability engineering principles: SLIs/SLOs, real-time telemetry, disaster recovery planning, capacity planning, and performance tuning. Experience designing and implementing observability frameworks for mission critical systems. Proven ability to lead incident response and drive long term remediation. Solid programming skills in Python, Java, or Kotlin, with ...

build and operate the platform capabilities that take machine-learning models from experimentation into reliable production services. You'll own the automation, deployment, observability and operational controls around the ML lifecycle, working closely with research engineers, software engineers, platform teams and product teams. This is not a research role. … model metadata and reproducibility across research and production. Build reusable tooling and platform capabilities that support multiple models and engineering teams. Model serving and observability Deploy and operate batch and online inference services in containerised cloud environments. Define and meet availability, latency, throughput and recovery objectives for ML services. Monitor ...