551 to 575 of 821 Observability Jobs in London

Experience with Docker containerisation for software deployment and scalability. CI/CD Expertise: Automate software build, test, and deployment pipelines following agile methodologies. Terraform Exposure: Beneficial experience with Terraform. Observability Tools: Experience with Grafana and Splunk is beneficial, particularly in developing and applying an observability strategy across a large organisation. Learn More For more information, contact George Harris at Harrington More ❯

Experience with Docker containerisation for software deployment and scalability. CI/CD Expertise: Automate software build, test, and deployment pipelines following agile methodologies. Terraform Exposure: Beneficial experience with Terraform. Observability Tools: Experience with Grafana and Splunk is beneficial, particularly in developing and applying an observability strategy across a large organisation. Learn More For more information, contact George Harris at Harrington More ❯

architectures, focusing on Kubernetes. Support critical engineering platforms: multi-tenant Airflow, BigQuery, and PostgreSQL clusters. Enhance developer experience via remote dev environments, self-hosted CI/CD pipelines, and observability tools. What They're Looking For: Hands-on experience with a major cloud provider (preferably GCP), Kubernetes, and Infrastructure as Code (Terraform). Strong Python skills for automation and operational … velocity, and leveraging AI tools for problem-solving. 2–4 years in Cloud, Platform, or DevOps roles, with excellent communication skills. Familiarity with CI/CD and data/observability platforms is a plus. Minimum 2:1 STEM degree or equivalent professional experience. Tech Stack: Cloud: GCP Orchestration: Kubernetes IaC: Terraform/Terramate Dev Environments: Remote development tools CI/… CD: Self-hosted pipelines, Argo Workflows Data Platforms: Airflow, BigQuery, PostgreSQL Observability: Grafana, Prometheus Deployments: Helm For more information, contact Maria Ciprini at Harrington Starr, or click "Apply" to start your application. More ❯

architectures, focusing on Kubernetes. Support critical engineering platforms: multi-tenant Airflow, BigQuery, and PostgreSQL clusters. Enhance developer experience via remote dev environments, self-hosted CI/CD pipelines, and observability tools. What They're Looking For: Hands-on experience with a major cloud provider (preferably GCP), Kubernetes, and Infrastructure as Code (Terraform). Strong Python skills for automation and operational … velocity, and leveraging AI tools for problem-solving. 2–4 years in Cloud, Platform, or DevOps roles, with excellent communication skills. Familiarity with CI/CD and data/observability platforms is a plus. Minimum 2:1 STEM degree or equivalent professional experience. Tech Stack: Cloud: GCP Orchestration: Kubernetes IaC: Terraform/Terramate Dev Environments: Remote development tools CI/… CD: Self-hosted pipelines, Argo Workflows Data Platforms: Airflow, BigQuery, PostgreSQL Observability: Grafana, Prometheus Deployments: Helm For more information, contact Maria Ciprini at Harrington Starr, or click "Apply" to start your application. More ❯

architectures, focusing on Kubernetes. Support critical engineering platforms: multi-tenant Airflow, BigQuery, and PostgreSQL clusters. Enhance developer experience via remote dev environments, self-hosted CI/CD pipelines, and observability tools. What They're Looking For: Hands-on experience with a major cloud provider (preferably GCP), Kubernetes, and Infrastructure as Code (Terraform). Strong Python skills for automation and operational … velocity, and leveraging AI tools for problem-solving. 2–4 years in Cloud, Platform, or DevOps roles, with excellent communication skills. Familiarity with CI/CD and data/observability platforms is a plus. Minimum 2:1 STEM degree or equivalent professional experience. Tech Stack: Cloud: GCP Orchestration: Kubernetes IaC: Terraform/Terramate Dev Environments: Remote development tools CI/… CD: Self-hosted pipelines, Argo Workflows Data Platforms: Airflow, BigQuery, PostgreSQL Observability: Grafana, Prometheus Deployments: Helm For more information, contact Maria Ciprini at Harrington Starr, or click "Apply" to start your application. More ❯

architectures, focusing on Kubernetes. Support critical engineering platforms: multi-tenant Airflow, BigQuery, and PostgreSQL clusters. Enhance developer experience via remote dev environments, self-hosted CI/CD pipelines, and observability tools. What They're Looking For: Hands-on experience with a major cloud provider (preferably GCP), Kubernetes, and Infrastructure as Code (Terraform). Strong Python skills for automation and operational … velocity, and leveraging AI tools for problem-solving. 2–4 years in Cloud, Platform, or DevOps roles, with excellent communication skills. Familiarity with CI/CD and data/observability platforms is a plus. Minimum 2:1 STEM degree or equivalent professional experience. Tech Stack: Cloud: GCP Orchestration: Kubernetes IaC: Terraform/Terramate Dev Environments: Remote development tools CI/… CD: Self-hosted pipelines, Argo Workflows Data Platforms: Airflow, BigQuery, PostgreSQL Observability: Grafana, Prometheus Deployments: Helm For more information, contact Maria Ciprini at Harrington Starr, or click "Apply" to start your application. More ❯

support critical banking applications, data services, and customer journeys aligned to the business platform and broader Commercial & Institutional applications. Role Overview Design and implement cloud infrastructure (compute, storage, networking, observability) using the business engineering standards and controls. Build and maintain CI/CD pipelines using tools like Terraform Enterprise, GitLab and Python. Embed security by design principles, ensuring compliance with … Knowledge of cloud-native storage: GCS, S3 and filer solutions. Exposure to data services: Cloud SQL, managed databases, MongoDB. Messaging systems: Kafka, RabbitMQ and EMS; API gateways like Apigee. Observability tools: Prometheus, Grafana, Cloud Monitoring. IAM and secrets management: dynamic secrets, Vault. Test-driven development and automated testing frameworks. Several years of real-world cloud engineering experience. Personal Attributes Curious More ❯

support critical banking applications, data services, and customer journeys aligned to the business platform and broader Commercial & Institutional applications. Role Overview Design and implement cloud infrastructure (compute, storage, networking, observability) using the business engineering standards and controls. Build and maintain CI/CD pipelines using tools like Terraform Enterprise, GitLab and Python. Embed security by design principles, ensuring compliance with … Knowledge of cloud-native storage: GCS, S3 and filer solutions. Exposure to data services: Cloud SQL, managed databases, MongoDB. Messaging systems: Kafka, RabbitMQ and EMS; API gateways like Apigee. Observability tools: Prometheus, Grafana, Cloud Monitoring. IAM and secrets management: dynamic secrets, Vault. Test-driven development and automated testing frameworks. Several years of real-world cloud engineering experience. Personal Attributes Curious More ❯

support critical banking applications, data services, and customer journeys aligned to the business platform and broader Commercial & Institutional applications. Role Overview Design and implement cloud infrastructure (compute, storage, networking, observability) using the business engineering standards and controls. Build and maintain CI/CD pipelines using tools like Terraform Enterprise, GitLab and Python. Embed security by design principles, ensuring compliance with … Knowledge of cloud-native storage: GCS, S3 and filer solutions. Exposure to data services: Cloud SQL, managed databases, MongoDB. Messaging systems: Kafka, RabbitMQ and EMS; API gateways like Apigee. Observability tools: Prometheus, Grafana, Cloud Monitoring. IAM and secrets management: dynamic secrets, Vault. Test-driven development and automated testing frameworks. Several years of real-world cloud engineering experience. Personal Attributes Curious More ❯

customer journeys aligned to the business platform and broader Commercial & Institutional applications. This day to day of this role will be: Design and implement cloud infrastructure (compute, storage, networking, observability) using the business engineering standards and controls. Build and maintain CI/CD pipelines using tools like Terraform Enterprise, GitLab and Python. Embed security by design principles, ensuring compliance with … Knowledge of cloud-native storage: GCS, S3 and filer solutions. Exposure to data services: Cloud SQL, managed databases, MongoDB. Messaging systems: Kafka, RabbitMQ and EMS; API gateways like Apigee. Observability tools: Prometheus, Grafana, Cloud Monitoring. IAM and secrets management: dynamic secrets, Vault. Test-driven development and automated testing frameworks. Several years of real-world cloud engineering experience. Personal Attributes Curious More ❯

AI applications e.g. MCP protocol. Training traditional ML and DL models using tools like Axolotl, LoRA, or QLoRA. Experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI) Experience with observability and evaluation tools for LLMs such as TruLens or Helicone. Experience with AI safety and reliability frameworks like Guardrails AI. More ❯

AI applications e.g. MCP protocol. Training traditional ML and DL models using tools like Axolotl, LoRA, or QLoRA. Experience with multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI) Experience with observability and evaluation tools for LLMs such as TruLens or Helicone. Experience with AI safety and reliability frameworks like Guardrails AI. More ❯

UIs: time series views, blotters, RFQ/axe views, portfolio & risk dashboards. End-to-end systems: you design it, build it, productionise it, support it. CI/CD, testing, observability, the lot. What you're gaining: Direct line to PMs/traders/researchers. Zero “just keep the lights on” work: everything is about edge, speed, and better decisions. Top More ❯

UIs: time series views, blotters, RFQ/axe views, portfolio & risk dashboards. End-to-end systems: you design it, build it, productionise it, support it. CI/CD, testing, observability, the lot. What you're gaining: Direct line to PMs/traders/researchers. Zero “just keep the lights on” work: everything is about edge, speed, and better decisions. Top More ❯

UIs: time series views, blotters, RFQ/axe views, portfolio & risk dashboards. End-to-end systems: you design it, build it, productionise it, support it. CI/CD, testing, observability, the lot. What you're gaining: Direct line to PMs/traders/researchers. Zero “just keep the lights on” work: everything is about edge, speed, and better decisions. Top More ❯

UIs: time series views, blotters, RFQ/axe views, portfolio & risk dashboards. End-to-end systems: you design it, build it, productionise it, support it. CI/CD, testing, observability, the lot. What you're gaining: Direct line to PMs/traders/researchers. Zero “just keep the lights on” work: everything is about edge, speed, and better decisions. Top More ❯

and post-launch operations. Develop and maintain reference architectures, documentation, and governance processes for ongoing platform enhancements. Guide adoption of modern infrastructure approaches, including cloud-native deployments, microservices, and observability frameworks. Contribute directly to business growth through hands-on architecture while mentoring junior engineers as the team scales. Align technology designs with compliance, regulatory, and security requirements (e.g., PCI DSS More ❯

and post-launch operations. Develop and maintain reference architectures, documentation, and governance processes for ongoing platform enhancements. Guide adoption of modern infrastructure approaches, including cloud-native deployments, microservices, and observability frameworks. Contribute directly to business growth through hands-on architecture while mentoring junior engineers as the team scales. Align technology designs with compliance, regulatory, and security requirements (e.g., PCI DSS More ❯

and post-launch operations. Develop and maintain reference architectures, documentation, and governance processes for ongoing platform enhancements. Guide adoption of modern infrastructure approaches, including cloud-native deployments, microservices, and observability frameworks. Contribute directly to business growth through hands-on architecture while mentoring junior engineers as the team scales. Align technology designs with compliance, regulatory, and security requirements (e.g., PCI DSS More ❯

and post-launch operations. Develop and maintain reference architectures, documentation, and governance processes for ongoing platform enhancements. Guide adoption of modern infrastructure approaches, including cloud-native deployments, microservices, and observability frameworks. Contribute directly to business growth through hands-on architecture while mentoring junior engineers as the team scales. Align technology designs with compliance, regulatory, and security requirements (e.g., PCI DSS More ❯

that create real-world value Integrate AI models into operational workflows Ensure reliability through fail-safes, self-healing, and fallback mechanisms Monitor & improve AI performance with feedback loops and observability tools Collaborate with Data Engineers to ensure AI has accurate, real-time data Implement human-in-the-loop systems where needed Skills and Qualifications Exceptional Python skills and experience with More ❯

that create real-world value Integrate AI models into operational workflows Ensure reliability through fail-safes, self-healing, and fallback mechanisms Monitor & improve AI performance with feedback loops and observability tools Collaborate with Data Engineers to ensure AI has accurate, real-time data Implement human-in-the-loop systems where needed Skills and Qualifications Exceptional Python skills and experience with More ❯

that create real-world value Integrate AI models into operational workflows Ensure reliability through fail-safes, self-healing, and fallback mechanisms Monitor & improve AI performance with feedback loops and observability tools Collaborate with Data Engineers to ensure AI has accurate, real-time data Implement human-in-the-loop systems where needed Skills and Qualifications Exceptional Python skills and experience with More ❯

that create real-world value Integrate AI models into operational workflows Ensure reliability through fail-safes, self-healing, and fallback mechanisms Monitor & improve AI performance with feedback loops and observability tools Collaborate with Data Engineers to ensure AI has accurate, real-time data Implement human-in-the-loop systems where needed Skills and Qualifications Exceptional Python skills and experience with 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 ❯