101 to 125 of 2,214 Observability Jobs in London

using Maven, Gradle, Jenkins, and/or TeamCity to achieve continuous integration and continuous delivery (CI/CD). Set up robust tracing and observability tools, such as Stackdriver, Prometheus, Grafana, and Jaeger, to monitor system health, performance, and reliability. Collaborate closely with cross‐functional teams including development ...

with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience ...

caching with Redis, and event streaming with Kafka. Familiarity with container orchestration, Kubernetes, Helm, and cloud platforms such as AWS or GCP. Familiarity with observability and monitoring tools such as Prometheus, Grafana, OpenTelemetry, or Elastic Stack. Basic understanding of web accessibility and web performance optimisation Pension scheme with Scottish Widows ...

ADFS, ADCS, and ADDS. Networking: Strong understanding of IP networking, physical network topology, and network security. Desirable Skills and Experience Experience with monitoring and observability tooling such as Prometheus, Kibana, Nagios, or Splunk. Familiarity with backup and recovery platforms such as CommVault. Experience working in security-cleared or regulated environments ...

e.g. Terraform/OpenTofu) Desirable Experience using Kubernetes (k8s) or OpenStack Experience with GitHub Actions Experience with build tools (e.g. CMake) Experience with modern observability tooling (e.g. Prometheus) Experience with Grafana Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance ...

with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well‐researched interest in NLP Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with PyTorch and related data science Python libraries (e.g. pandas) Experience ...

Nginx and technologies such as Dubbo, Nacos, ZooKeeper, Kafka, RabbitMQ, ActiveMQ and Redis. • Advanced Elasticsearch experience, including cluster operations, indexing and performance tuning. • Strong observability experience across the ELK Stack, Micrometer, Prometheus, Grafana, Azure Monitor and JVM monitoring. • Experience with Jenkins, GitLab, GitHub Actions and Git-based delivery workflows. • Strong ...

containerisation skills, including multi-stage or multi-architecture builds. Experience building CI/CD pipelines for Machine Learning systems. Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog or similar. Linux systems administration and shell-scripting experience. Strong software engineering practices, including Git, testing and code reviews. Experience ...

Optiver standards and workflows. Build and maintain CI/CD and automated testing for changes minimizing risk in always-on markets. Implement and enhance observability using CloudWatch, Prometheus, Grafana, and similar tools. Participate in operational ownership through incident response, post-incident improvement, and continuous hardening. Who you are Demonstrated expertise ...

also: Set and uphold engineering standards through code reviews, testing and operational ownership. Improve engineering practices across CI/CD, automated testing, observability and production operations. Encourage continuous learning, experimentation and technical improvement across the squad. Explore and embed AI‐assisted engineering tools to improve productivity and software delivery. Work ...

RabbitMQ Docker and containerised application development CI/CD pipelines using tools such as Jenkins or GitLab CI Git and modern software development workflows Observability tooling including logging, metrics and distributed tracing Comprehensive testing across unit, integration and functional layers Maven or Gradle Java concurrency and JVM performance fundamentals Experience ...

metadata, and governance patterns) applied in production environments. Strong DevSecOps and platform engineering capability, including CI/CD design, automated security/quality gates, observability (logs/metrics/traces), SLOs/SLAs, and incident management/RCA in regulated environments. Proven end-to-end delivery leadershipfor large, cross-functional ...

popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well‐researched interest in NLP Broad knowledge of MLOps tooling â for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience ...

Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)Specialism or well-researched interest in NLPBroad knowledge of MLOps tooling – for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time periodExtensive experience with pytorch and related data science python libraries (e.g. pandas)Experience ...

based on the country of your employment and the nature of your employment with the company.* About the company: the company is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure ...

number of different cloud native operators. As our platform maturing and scales, we need to ensure our custom operators remain fit for purpose. Improve observability of our networking components to meet SLOs. Lead troubleshooting of production workloads for customers and during incidents. Develop secure high-quality production code, and reviews ...

Engineering & Delivery Design and build robust, scalable data pipelines (Snowflake, dbt, Airflow, ADF, Python) Apply strong practices in test‐driven development, monitoring, logging, and observability Own more complex technical solutions and problem‐solving Support production issues and drive root‐cause improvements rather than quick fixes Data Governance, Traceability & Compliance Ensure ...

platformFluency in Python & deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplinesProficiency 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 integration ...

data engineering frameworks Apply infrastructure‐as‐code and automation approaches to the deployment and management of data platforms Build data quality, validation, monitoring and observability into engineering solutions Ensure security, governance and data protection requirements are considered throughout solution design and delivery Work with architects, cloud engineers, security specialists ...

Code (Terraform, Pulumi, etc.). Solid understanding of CI/CD practices and tools (GitHub Actions, CircleCI, etc.). Experience with monitoring and observability tools (Datadog, CloudWatch, etc.). Experience with containerisation and container orchestration (Docker, ECS, etc.). Proficiency in at least one programming/scripting language (Python ...

Embrace our "You build it, you own it" philosophy by taking full responsibility for the development, containerization, deployment, and ongoing maintenance of your services. Observability & Quality: Ensure your code is reliable, highly testable, and well-covered by unit and integration tests. Integrate robust monitoring and alerting into your services. Infrastructure ...

prompt engineering and agent frameworks/orchestration (such as LangChain, LangGraph or Semantic Kernel). Take AI solutions beyond prototype, owning evaluation, testing, guardrails, observability, security and cost management. Rapidly prototype and validate ideas, turning concepts into working software within days and proving out how to build the solution properly ...

operational playbooks and incident response processes. Product & Engineering CollaborationPartner with Product and Platform Engineering teams to improve security telemetry and logging. Help define security observability requirements for new services. Collaborate with developers to improve security visibility across the CloudBees platform. Translate operational findings into practical engineering improvements. Vulnerability & Threat IntelligenceContribute ...

/CD pipelines, containerised deployments and cloud‐native services Integrate applications with cloud platforms, data services and streaming technologies Implement monitoring, logging and observability to support live service operation Support secure deployment and operation of applications across development, test and production environments Skills Required Experience working within the UK Security ...

metadata, and governance patterns) applied in production environments. Strong DevSecOps and platform engineering capability, including CI/CD design, automated security/quality gates, observability (logs/metrics/traces), SLOs/SLAs, and incident management/RCA in regulated environments. Proven end-to-end delivery leadership for large, cross ...