76 to 81 of 81 Observability Jobs in Central London

Impact and Responsibilities We are seeking a Senior Software Engineer who thrives on untangling complex systems and modernising core infrastructure without breaking production. This is an exciting opportunity to modernise core C#/SQL systems ...

J.P. Morgan in London and across locations seeks a Director of Software Engineering (AIOps) to lead a large Observability Platforms program. You will drive architectural decisions, mentor engineers, and deliver AI-powered self-healing and root-cause capabilities across the firm. As an Executive Director, you will set strategy ...

Group is seeking a Senior Observability Engineer to own and evolve its observability platform across a globally distributed trading system. You will drive instrumentation using Honeycomb and OpenTelemetry, partner with development squads to improve traces, metrics, and logs, and mentor engineers on reliability and monitoring practices. In this role ...

expectations and can be reused across multiple brands and platforms. Drive engineering excellence for the services you own by championing code quality, automated testing, observability, performance optimization, and simplification, taking technical responsibility for service health, scalability, resilience, and the ongoing reduction of technical debt and operational overhead. Provide technical mentorship … integrations, and communicating trade-offs to both technical and non-technical stakeholders. Track record of improving operational excellence at the team level through enhanced observability, automation, performance tuning, and data-driven analysis of incidents and customer impact. Hands-on experience integrating or consuming AI/ML-enabled services or platforms ...

hackajob is partnering directly with LexisNexis to hire for this role. AI Architect Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with ...

operate agent workflow platform capabilities aligned to product-defined standards and interfaces, including traceability, state handling, and convergence patterns Implement production-grade evaluation, observability, auditability, and guardrail mechanisms required for safe AI workflows Implement security controls, access governance, encryption, and audit requirements in partnership with InfoSec while ensuring enterprise SDLC … large-scale SaaS systems with production operations accountability Demonstrated success building and operating platforms adopted by multiple product teams, including reliability discipline (SLOs), observability, and incident management Strong hands-on technical leadership background in distributed systems and platform engineering Deep experience with data platform engineering at scale, including ingestion ...