176 to 200 of 472 Kubernetes Jobs in London

you'll need Proven experience leading DevOps or DevSecOps projects across cloud and hybrid platforms Strong working knowledge of agile delivery methodologies (Scrum, SAFe, Kanban, etc.) Deep expertise in Kubernetes (vanilla, EKS, AKS, OpenShift), CI/CD pipelines, and infrastructure as code (Terraform) Security integration experience across the DevSecOps lifecycle, including: SAST, DAST, SCA, and IAST tools (e.g., Checkmarx, Veracode More ❯

from the AWS CLI, CDK, Terraform/CloudFormation perspective. ● Experience in the IT services industry. ● Strong knowledge of CI/CD pipelines, infrastructure as code (IaC), and containerisation (Docker, Kubernetes, EKS, Fargate etc.). ● Worked for an AWS Professional Services partner and familiar with all AWS Partner activities, e.g. use of AWS Partner Network portal. ● Proven track record in solutioning More ❯

from the AWS CLI, CDK, Terraform/CloudFormation perspective. ● Experience in the IT services industry. ● Strong knowledge of CI/CD pipelines, infrastructure as code (IaC), and containerisation (Docker, Kubernetes, EKS, Fargate etc.). ● Worked for an AWS Professional Services partner and familiar with all AWS Partner activities, e.g. use of AWS Partner Network portal. ● Proven track record in solutioning More ❯

environments with mixed applications and protocols Experience with Windows OS, MacOS, and Linux based applications (Installation, troubleshooting, Debugging) 4+ years of experience as a Support Engineer Fundamental understanding of Kubernetes, GCP, and AWS for troubleshooting cloud agent deployment and data extraction. Excellent written and verbal communication skills Strong customer advocacy skills and experience, ability to work in difficult customer situations More ❯

and butter. The wider data platform team uses dbt, Snowflake, and Looker to model, transform, and expose data for analytics and reporting across the business. We use Docker and Kubernetes to manage our production services. We use Github Actions for continuous integration and deployment. Lyst deploys new changes to production more than 500 times a month. The Data Platform team More ❯

Gitlab and are currently building out our next generation of automated deployment pipelines. We've incorporated some of the best open-source software into our systems and processes including Kubernetes, Terraform, Helm, Flux, Docker and Renovate. Integrated with some of the leading products in the industry including Auth0, Segment, Customer IO, Snowflake, Vercel and more. We strive for the best More ❯

KeySkills: Strongknowledgeof OCIservices (compute,storage,networking,loadbalancers) Automationwith Terraform,Ansible,Python,Bash,PowerShell Experiencewith CI/CDpipelines (Jenkins,GitHubActions) Knowledgeof IAM,VPNs,WAF,GDPR,ISO27001 Exposureto AutonomousDB,Exadata,DataGuard,Kubernetes,Docker Securityclearance(orwillingnesstoobtain More ❯

integration Jenkins unit tests integration tests selenium based tests very good knowledge of Application Servers WebSphere WebLogic or JBoss very good knowledge of Oracle database knowledge of Docker or Kubernetes environment knowledge of Linux environment knowledge of Kafka is an advantage excellent problem solving teamworking and time management skills payment expertise see next column Optional knowledge of PostgreSQL JIRA Bitbucket More ❯

HealthTech. Responsibilities Senior engineer on a mature team, scaling infrastructure and ensuring software is so reliable you can set your watch by it. Automate manual processes, lead migration to Kubernetes, and embrace infrastructure as code. Collaborate with product engineers to make systems faster, more reliable, and secure. Work with a Microsoft stack-Azure, AKS, and .NET microservices on the backend. More ❯

connector configurations to identify root causes of issues. Strong documentation and communication skills for delivering technical assessments. Edge : MongoDB Certified DBA Associate or higher. Exposure to containerized environments (Docker, Kubernetes) and Infrastructure as Code (Terraform, etc.). RedHat Certifications concerning Kafka or Debezium More ❯

Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.) Expertise in 3D reconstruction and rendering Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker) Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment Please register your interest for this role by sending your CV to Rosie O More ❯

and virtualization platforms (VMware) for enhanced monitoring and flexibility. Automate infrastructure provisioning and management using Python, PowerShell, Ansible, and Terraform. Contribute to DevOps workflows, CI/CD pipelines, and Kubernetes operations. Key Requirements: Strong experience with Azure Cloud and on-premise infrastructure. Expert knowledge of enterprise network architecture and technologies (LAN, WAN, Wi-Fi). Hands-on experience with Cisco More ❯

ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to More ❯

ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to More ❯

hands-on technical expertise in solution design and delivery. Proficiency with Azure (essential); knowledge of AWS is desirable. Practical experience with Terraform, CI/CD, Prometheus/Grafana, Docker, Kubernetes (desirable). Public Sector experience is highly advantageous. The client are looking to commence the two-stage interview process ASAP, so please don't hesitate to apply now for more More ❯

ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to More ❯

ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to More ❯

roles. Strong experience with at least one major public cloud (we primarily use AWS). Awareness of how infrastructure and platform decisions impact downstream systems. Hands-on experience with Kubernetes, containers, and Terraform. Practical experience deploying and operating Kafka-based infrastructure. Solid scripting/software skills in Python. Desired (but not essential) Experience with telemetry or IoT workloads. Familiarity with More ❯

skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare More ❯

skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare More ❯

skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare More ❯

learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or More ❯

learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or More ❯

skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare More ❯

learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or More ❯