76 to 100 of 246 Docker Jobs in London

SaaS (ideally cybersecurity, threat intelligence, or offensive security tools). Deep technical expertise across: Cloud: AWS, Azure IaC: Terraform, Ansible Platforms: Kubernetes (EKS), ECS, Docker, Lambda, Airflow Observability: EFK, Prometheus, Grafana, Jaeger/OpenTelemetry Persistence: MySQL, PostgreSQL, MongoDB, Redis, Elasticsearch, Kafka Pipelines: GitHub Actions, AWS CodeBuild Runtimes: Python, Node.js, Golang ...

SaaS (ideally cybersecurity, threat intelligence, or offensive security tools). Deep technical expertise across: Cloud: AWS, Azure IaC: Terraform, Ansible Platforms: Kubernetes (EKS), ECS, Docker, Lambda, Airflow Observability: EFK, Prometheus, Grafana, Jaeger/OpenTelemetry Persistence: MySQL, PostgreSQL, MongoDB, Redis, Elasticsearch, Kafka Pipelines: GitHub Actions, AWS CodeBuild Runtimes: Python, Node.js, Golang ...

Azure Data & Computation services (ADLS, ADF, Databricks, SQL Databases) Supporting: Azure ML Services React/CSS/JavaScript Azure infrastructure R, Powershell Kubernetes/Docker Tensorflow/Pytorch Principles: Data Modelling Data Science Data Warehouse Theory Data Architecture Master Data Management Key Words: Azure - AI - Artificial Intelligence - ML - Machine Learning ...

learning new technologies. You will have a learning and development budget to support this. Python, Java, TypeScript, JavaScript React, Angular, React Kubernetes (k8s) Docker AWS, Azure Elasticsearch, MERN, Neo4J Benefits Excellent company benefits including significant pension contributions, BUPA, equity and training allowance. ...

deliver secure, scalable, and efficient cloud solutions. Essential Technical Skills Azure Services: Logic Apps, Web Apps, App Gateways, VNets, APIM Containerisation: Service Fabric, Docker Version Control: GIT Scripting: PowerShell or equivalent Database: SQL, Entity Framework Infrastructure as Code: ARM Templates, Terraform Identity & Access: Azure Entra/AAD, Azure B2C DevOps ...

reliable, and experienced in the right tech stack. Tech Stack Cloud: AWS Messaging: Kafka Languages: Java, NodeJS Frameworks: Spring Boot/Data, React Containers: Docker, Kubernetes, Helm Frontend: Typescript/JavaScript Databases: Postgres Search: OpenSearch/ElasticSearch Testing: Playwright, Wiremock Monitoring: Grafana, Prometheus, Dynatrace Version Control: Git APIs: REST ...

Azure Data Engineer certification preferred -eg- Azure Data Engineer Associate. Advantageous skills: Azure Event Hubs, Kafka, data visualisation tools, Power BI, Tableau, Azure DevOps, Docker, Kubernetes, Jenkins. ...

front-end best practices. Experience with Git, CI/CD pipelines, and automated deployment workflows. Exposure to cloud platforms (AWS preferred) and containerisation (Docker/Kubernetes) is beneficial. Strong debugging skills and the ability to work independently in a fast-paced environment. If this role sounds of interest - apply today ...

LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks Infra: Python, Docker, Kubernetes, SQL, PyTorch ...

Management, Azure Storage GCP GKE (Mandatory) , Cloud Load Balancing, Cloud Armor, Istio, Stackdriver, Jenkins, Apigee Desirable Skills Experience with Harness , HashiCorp Vault , Dynatrace , Docker/buildah , NodeJS for API tooling. Relevant Azure or GCP certifications . What’s on Offer Opportunity to lead cloud platform engineering for a major transformation ...

DevOps Engineer to design, develop, and maintain production and development infrastructure, ensuring secure, scalable, and efficient deployment pipelines. Required skills: Cloud (AWS, GCP) Containers (Docker, ECS) IaC (Terraform) CI/CD (GithubActions, CircleCI) Serverless (Lambda) Scripting (Python) SysAdmin (Linux) But more than anything else they are looking for applicants with ...

Minimum requirements: 5+ years of experience with Python (essential) and other technologies including AWS, Node.js, Typescript, SQL, CI/CD, DevOps (Terraform, Github Actions, Docker). Solid track record of leadership level experience, including guiding and mentoring members of the technical team. Experience of working in an agile setting with ...

understanding of data modelling, ETL processes, and data warehousing concepts. Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and containerisation technologies (e.g., Docker, Kubernetes) is a plus. Excellent problem-solving skills and a track record of delivering innovative and practical data solutions. Strong communication skills with the ability ...

practices (e.g. Git, CI/CD) and tools such as Google Cloud DevOps, Cloud Build, GitHub Enterprise and GitLab Strong proficiency with Terraform (IaC), Docker and Kubernetes (containization technologies) are strong advantages Solid understanding of Google Cloud Identity and Access Management (IAM) and Role-Based Access Control (RBAC) Experience with ...

data products Basic qualifications: Extensive experience conducting Bankend Development using Python. Concurrency and Asyn exp Demonstrated experience using FastAPI Cloud Experience - GCP Essential SQL Docker Containerization Unit testing experience - TDD or Test Suit ML or AI experience would be desriable. Experience within Life Sceiences or Pharma Sector ...

Terraform or CloudFormation. Solid understanding of cloud strategy, platform engineering, and operating models , with hands-on expertise in areas such as: Automation Containerisation (Docker, Kubernetes) FinOps Proven ability to translate business needs into scalable, user-focused cloud solutions . Excellent communication, stakeholder engagement, and team-empowerment skills. A growth mindset ...

AutoGen, CrewAI Tools: GitHub Copilot, Cursor, LangSmith, LangFuse, Weights & Biases, MLflow, Humanloop Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks, Modal Infra: Python, Docker, Kubernetes, SQL/NoSQL, PyTorch, FastAPI, Redis ...

product and business goals. Required Skills & Qualifications: 8+ years of experience in DevOps, SRE, or Infrastructure Engineering roles. Strong hands-on experience with AWS, Docker, Kubernetes, and Terraform. Proficiency in CI/CD pipelines and Linux systems administration. Deep understanding of high-availability architecture, networking, load balancing, and distributed systems. ...

product and business goals. Required Skills & Qualifications: 8+ years of experience in DevOps, SRE, or Infrastructure Engineering roles. Strong hands-on experience with AWS, Docker, Kubernetes, and Terraform. Proficiency in CI/CD pipelines and Linux systems administration. Deep understanding of high-availability architecture, networking, load balancing, and distributed systems. ...

Puppet Knowledge of scripting with Bash, Python, and/or Git Experience of AWS Automation tools (Ansible, Puppet, Chef) Virtualization and containers (KVM, VMware, Docker, Podman) What We Will Do For You Competitive compensation Pension scheme DXC Select - Our comprehensive benefits package (includes private health/medical insurance, childcare vouchers ...

Application Proxy, federated authentication, SAML/OAuth integration, and implementing least-privilege access controls across Azure subscriptions and resources. Container Services - Working knowledge of Docker containerisation and Azure Kubernetes Service (AKS) for supporting containerised applications. DevOps & CI/CD Pipelines - Experience supporting continuous integration and deployment pipelines using Azure DevOps ...

Lambda, API Gateway, Cognito, S3 and OpenSearch Node.js/TypeScript and Python DynamoDB and PostgreSQL Serverless Architecture and microservices patterns. Infrastructure tools like Terraform, Docker, and CI/CD pipelines. Security and compliance practices, especially relevant in healthcare. What You’ll Do: Design and build robust, scalable cloud-first backend ...

understanding of misconfigurations. Experience building applications, scripts, pipelines or automation using modern technologies and languages such as PowerShell, YAML, Python, C#, Java, Docker, Kubernetes Experience with implementation of secure configurations and controls via policy and compliance frameworks Experience with crafting low-noise detections aligned to real-world attack behaviours Additional ...

Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing CI/CD pipelines for automated model ...

latency data processing. You obsess over milliseconds and understand the trade-offs. ? Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). ? Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). ? Knowledge of (or deep, demonstrable curiosity about) telecommunications ...