76 to 100 of 169 Observability Jobs in London

colleagues and clients across the Snowflake ecosystemExperience in design and delivering business solutions on other modern data platforms (e.g. Databricks, Azure, AWS or GCP native stacks)Experience with platform observability and CI/CD for data platformsHands-on experience with modern data engineering tools such as dbt, Fivetran, Matillion or AirflowHistory of supporting pre-sales activities in a product or More ❯

AI SRE assistant. Kubernetes promises agility, elasticity, reliability and high availability, but it also introduces complexity, high operational overhead, and cost overruns due to over provisioning of workloads. Traditional observability only surfaces the "what" - Komodor goes further by delivering the "why", "where" and the "how"; providing a full platform to detect, investigate and remediate while optimizing workloads. By combining our More ❯

segregation (dev, test, UAT, prod). - Automate infrastructure using Infrastructure as Code (Terraform, ARM, CloudFormation) - Embed security and compliance controls (SAST/DAST/IaC/SBOM). - Enable observability (logging, metrics, tracing, alerting) and support SRE/incident management practices. - Partner with client stakeholders to align DevOps with FCA/PRA operational resilience and Lloyd's standards. - Support disaster … Azure and/or AWS in enterprise or hybrid environments. - Familiarity with containerisation & orchestration (Docker, Kubernetes). - Solid understanding of security controls and compliance in financial services. - Experience with observability tools (Prometheus, Grafana, ELK, Splunk, AppDynamics, etc.). - Awareness of UK/EU financial regulations (GDPR, PRA/FCA, Lloyd's). - Consulting experience desirable - with the ability to engage More ❯

the future team through recruitment and onboarding. Required Skills - We're primarily using AWS, utilising Lambda, ECS, SQS, API Gateway among others. Our database engine is MongoDB and our observability platform is Datadog. Our application is written in Typescript/NodeJS and our infrastructure is defined in Terraform. Experience working with JavaScript/TypeScript but also open to other languages More ❯

and analysis. Dashboarding with Looker Studio or AWS QuickSight . Proven delivery in agile , multi-disciplinary teams; translating insight into roadmap decisions. Desirable Python for analysis; dbt or similar. Observability for LLM/agentic systems (prompt/version telemetry, HITL oversight). Solid statistics for experimentation and practical significance. Please apply for further details. More ❯

Selenium, Puppeteer). Orchestrate pipelines using Airflow, and manage data quality workflows. Model and transform data in SQL and Snowflake to create clean, analytics-ready datasets. Ensure data quality, observability, and governance across workflows. Collaborate closely with product managers, analysts, and engineers to deliver high-quality data products for dashboards and reporting. Technical Skills & Experience We're looking for candidates More ❯

growing to meet our business needs. What you'll lead: Shape and evolve the backend technical architecture to support product scale and complexity Identify and drive improvements in performance, observability, and infrastructure Lead the design of domain models aligned with evolving business needs Be a go-to person for backend excellence, and improve code quality Engineering centric requirement definition (user More ❯

F# are welcome) Proven track record of building and scaling distributed backend systems Solid understanding of infrastructure-as-code and cloud orchestration (AWS, Terraform, Docker) Familiarity with queue management, observability tooling, and shipping in fast-paced environments Awareness of GenAI and prompt engineering, or a keen interest to develop expertise in this area A self-starter attitude, with a strong More ❯

Model Deployment: MLOps, scaling, data engineering, and AI ethics awareness. Strategic Mindset: Ability to align technology with business objectives and cost efficiency. Security & Compliance Knowledge: GDPR, API authentication, and observability best practices. Big data processing: Understanding data lakes, warehouses, and tools like Spark, Kafka, and Airflow. ETL Pipelines: Ability to evaluate data ingestion, transformation, and cleaning processes. DevOps & CI/ 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 ❯

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 ❯

Support our compliance effort - currently we are a PCI DSS level 1 service provider Evolve and modernise our infrastructure - we currently use Cloudformation on bare EC2 servers Develop good observability of our platform - so we can actively monitor and improve the health of our services, focusing on things like availability, performance, and efficiency to keep delivering great experiences to our More ❯

serverless architecture, schema migrations Requirements Experience with infrastructure as code. Hands-on experience coding, ideally in Python, Go, or Typescript with a focus on clean, maintainable code. Experience with observability tools and incident management. More ❯

edge devices. Deploying machine learning models to production. Optimizing the platform runtime for maximum performance. This is largely C++ code with parts of the pipeline running on GPU. Building observability and telemetry. This is a 5 day a week in the office role. Qualifications 3+ years of experience writing production software in C++ and Python of experience building applications processing More ❯

edge devices. Deploying machine learning models to production. Optimizing the platform runtime for maximum performance. This is largely C++ code with parts of the pipeline running on GPU. Building observability and telemetry. This is a 5 day a week in the office role. Qualifications 3+ years of experience writing production software in C++ and Python of experience building applications processing More ❯

solutions Essential Skills & Experience: Proven experience in Python/Django Solid frontend skills with React & TypeScript Exposure to Ruby on Rails (nice to have) Experience with distributed systems and observability tools Ability to design solutions across multiple services Strong analytical problem-solving skills and clear communication Nice-to-Have Skills: Next.js Internal tooling for operational teams Experience in highly collaborative More ❯

client satisfaction. Collaborating with Client Solutions and other teams to understand requirements and deliver tailored solutions. Designing and implementing scalable, future-proof architectures for new connectors and integrations. Enhancing observability with better diagnostics, logging, and tracing to support technical teams. Overseeing the development and management of the public API (REST event streaming functionality). Producing clear, accessible technical documentation, using More ❯

implementing complex data solutions across areas such as data integration, data modelling, data management and governance, data Lake/Lakehouse/Data Mesh, data engineering, analytics, AI/GenAI, observability, cloud, security. Experience aligning data architecture blueprints across business units and geographies; presenting designs to stakeholders (e.g., Architecture Boards). Experience in governance, regulatory compliance (e.g., GDPR) and managing large More ❯

and help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, RDS, S3, IAM, etc.) Configuration Management Ansible Monitoring and Observability Grafana, Prometheus Kubernetes (building and managing production clusters) Terraform (IaC provisioning) Python or Java (scripting, automation) GitHub Actions (CI/CD pipelines) What They’re Looking For Experience in AWS … cloud infrastructure (ideally in a regulated or high-traffic environment) Previous experience working with Monitoring and Observability Tools Hands-on Kubernetes know-how, specifically with EKS. Solid IaC experience with Terraform. Experience with containerisation (Docker, Helm) and CI/CD (GitHub Actions or similar) Solid scripting/Automation experience with Python or Java A good communicator who enjoys working collaboratively More ❯

bulk of our codebase, currently in Java (11+), and ideally Spring Boot. You will be working with SQL and large SQL databases, Docker, Kubernetes, OpenAPI specifications, and distributed system observability tooling (e.g., Datadog APM). Infrastructure automation is primarily owned by the infrastructure team, but you will be a consumer of their work; familiarity with AWS, Terraform and Docker is … Ability to communicate effectively with technical and non-technical stakeholders Modern Cloud-Native architectures and practices (high availability, high scalability, microservices, 12-factor apps, CI/CD, automation and observability) TDD, BDD and Contract testing Experience in a DevOps environment or willingness to work in one Proven delivery of well-tested, scalable, fault-tolerant and performant solutions A pragmatic, self More ❯

technical proficiency in: Languages: Java 17+ (Java 21 preferred) Frameworks: Micronaut (preferred), Spring Boot Testing: JUnit, Mockito Build Tools: Gradle Data & Messaging: Kafka, MongoDB APIs: GraphQL Federation, REST Infrastructure & Observability: Terraform, OpenTelemetry, Dynatrace Please get in touch asap for a chance to work on this amazing project. More ❯