276 to 300 of 374 Observability Jobs in London

data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What We're Looking More ❯

data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What We're Looking More ❯

data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What We're Looking More ❯

data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive data in line with GDPR and internal policies. What We're Looking More ❯

best practices. Ensure solutions align with technical strategy and business goals. Work in small, valuable increments using agile practices and modern tools. Monitor, debug, and improve system performance with observability tools. You'll love this role if You have 2+ years of Ruby development experience, with good knowledge of Ruby on Rails in production, and want to grow your expertise. More ❯

to automated testing and deployment. Ensure the quality, security, reliability, and compliance of our solutions by applying our digital principles and implementing both functional and non-functional requirements. Build observability into our solutions, monitor production health, help to resolve L3 incidents, and remediate the root cause of risks and issues. Understand, represent, and advocate for client needs. Share knowledge and More ❯

across AWS, Flink, Kafka, and Python layers. Lead post-incident reviews: identify root causes, document findings, and drive corrective actions to closure. Reliability & Monitoring Design, implement, and maintain robust observability for data pipelines: dashboards, alerts, distributed tracing. Define SLOs/SLIs for data freshness, throughput, and error rates; continuously monitor and optimize. Automate capacity planning, scaling policies, and disaster-recovery More ❯

to deliver value iteratively (think "small steps" rather than big-bang launches) Working closely with strategic customers to understand their data, security and deployment landscape Uphold engineering excellence -reliability, observability, and automated quality gates- so our customers can trust insights that guide multi-million-dollar R&D decisions. You'll bring your own strong perspective on what excellence looks like More ❯

as your primary language Integrate libSQL/SQLite storage engines and build reliable, intuitive APIs that almost feel like magic Implement and evolve the control‐plane, data‐plane, and observability pipelines with modern logging & metrics stacks (e.g., ClickHouse) and automated build/deploy workflows Own the full SDLC: architecture, coding, automated testing, deployment, on‐call rotations, and post‐incident reviews More ❯

to support diverse analytics and operational workloads Ensure data quality and consistency by incorporating automated testing, data validation, and monitoring mechanisms Drive best practices around data engineering, including testing, observability, security, and documentation Troubleshoot and resolve issues in production environments to ensure data integrity and platform reliability What you bring: 5+ years of professional experience in data engineering roles, preferably More ❯

unstructured data. - Build a modern Data Lakehouse/Warehouse as a single source of truth. - Implement reporting and dashboarding solutions that empower internal teams and customers. - Ensure platform reliability, observability, and security. - Promote reusable, curated datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling More ❯

mesh, API gateways, and commercial vs. open source software. Approaches to managing Architectural debt, Architecture governance and evolution in practice Micro services topologies, including operational concerns such as resiliency, observability, discovery and routing, security etc. Have experience with, and understand how to lead, legacy integration and remediation (facades, strangler approaches, et. al.). Deep understanding of different integration patterns and More ❯

Spring Boot developing and using enterprise APIs and commercial experience with: SQL and NoSQL databases Containerisation Working in a continuous delivery environment Distributed and horizontally scalable systems Observability and monitoring tools Triaging production issues Performance tuning of JVM apps Nice to have Not vital, but you'll have the edge if you also have experience with: Kotlin Prometheus Query Language More ❯

data-driven decisions to inform product strategy. Understand key engineering concepts such as SLAs, SLOs, availability, reliability, and test environments. Balance technical debt management with new feature releases. Utilise observability tools (logs and metrics) to monitor product performance. Ensure the product meets European regulatory requirements (PCI, GDPR, Data Retention, etc.). Stakeholder Management and Project Coordination. Working with internal experts More ❯

data-driven decisions to inform product strategy. Understand key engineering concepts such as SLAs, SLOs, availability, reliability, and test environments. Balance technical debt management with new feature releases. Utilise observability tools (logs and metrics) to monitor product performance. Ensure the product meets European regulatory requirements (PCI, GDPR, Data Retention, etc.). Stakeholder Management and Project Coordination. Working with internal experts More ❯

Social network you want to login/join with: Seldon was founded in 2014 with a simple yet ambitious mission: to accelerate the adoption of machine learning to solve the worlds most challenging problems. Were committed to responsible, trustworthy, and More ❯

Engineering Manager (Hands on) Fully Remote - UK Based £110,000 - £120,000 Typescript, Next.js, React, Postgres, AWS Are you a passionate and experienced hands on Engineering Manager ready to lead and innovate? My client, a market-leading web trading technology More ❯

V7 turns human knowledge into trustworthy AI, powering products that solve our hardest problems. Our platform lets customers build no-code AI workflows that solve knowledge work with V7 Go, and leverage expert humans to improve frontier AI model knowledge More ❯

Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, traces, and security events with features such as APM, RUM, SIEM, Kubernetes monitoring, and more, enhancing operational efficiency and reducing observability … journey for the Metrics UI, and have a direct impact on how customers explore, manage, and operationalize their metrics data at scale. Success in this role requires experience with Observability or Security products and the ability to deliver platform capabilities that can be leveraged across both Internal Products and Customer facing User experience. Responsibilities: Own the entire Metrics UI product … design thinking sessions, brainstorm concepts, test hypotheses, and create visual examples with wireframes. Requirements 5+ years of product management experience in B2B or data-centric products. Strong understanding of observability, metrics, or infrastructure products - advantage Excellent ability to distill complex concepts into clear wireframes and requirements with a focus on user experience. Proven experience working with large engineering teams and More ❯

applications, or files — into lakehouses like Snowflake, Databricks, and Redshift. With pipelines that just work and features like advanced data transformation using dbt Core and end-to-end pipeline observability, we’re focused on making robust data pipelines accessible to everyone. London (in person) At Etleap, we’re redefining how data teams build and manage data pipelines. Our no-code … applications, or files — into lakehouses like Snowflake, Databricks, and Redshift. With pipelines that just work and features like advanced data transformation using dbt Core and end-to-end pipeline observability, we’re focused on making robust data pipelines accessible to everyone. We are looking to add senior engineers to our core engineering team to build the infrastructure that modern data More ❯

to deployment and monitoring, balancing cutting-edge techniques with pragmatism to deliver measurable impact. • Apply strong software engineering principles, such as modularity, testing, code reviews, CI/CD and observability, to ensure AI systems are reliable, maintainable, production-ready and can be readily adapted to future developments. • Choose the right approach for the problem at hand, evaluating classical ML and … focused teams, collaborating with designers, engineers, and PMs, to scope and ship AI features iteratively • Ability to reason about system behavior end-to-end, including model performance, latency, and observability, and how these impact user experience. • Clear, structured communicator, comfortable documenting and defending architectural decisions and engaging in thoughtful technical debate. Not required, but it's a plus if you More ❯

complexity, improved performance, and cost efficiency Collaborate with Analysts and Data Scientists to prepare and model data for predictive analytics and AI/ML initiatives Implement and maintain data observability and quality monitoring solutions, including custom alerting, to ensure the reliability and integrity of our data assets Work closely with Engineering teams to understand their data needs, collaborate on data … functional environments, working closely with Engineering, Data Science, and business teams Experience with CDP and event tracking platforms like Segment or Hightouch, particularly in event tracking governance Familiarity with observability tools, data quality monitoring, and data DevOps practices What's in it for you? A range of flexible working options to dedicate time to what matters to you Competitive compensation More ❯

applications, or files — into lakehouses like Snowflake, Databricks, and Redshift. With pipelines that just work and features like advanced data transformation using dbt Core and end-to-end pipeline observability, we’re focused on making robust data pipelines accessible to everyone. We are looking to add senior engineers to our core engineering team to build the infrastructure that modern data More ❯

and Python code for use in Databricks Contributing to architectural decisions around pipeline scalability and performance Supporting the integration of diverse data sources into the platform Ensuring data quality, observability, and cost-efficiency KEY SKILLS AND REQUIREMENTS Strong experience with DBT, Airflow, and Databricks Advanced SQL and solid Python scripting skills Solid understanding of modern data engineering best practices Ability More ❯

specialism in vulnerability management Self-starter, able to work in technical detail and motivate a diverse group of stakeholders to build sponsorship for significant and impactful change Desired: Establishing observability platforms Capabilities adjacent to exposure/vulnerability management capabilities (ie cyber security asset management, attack surface management, etc) Pragmatic application of zero-trust philosophies Cloud based security (GCP, AWS and More ❯