1,101 to 1,125 of 1,751 Docker Jobs in England

Cloud Infrastructure (AWS/Azure/GCP, containerization, scaling)Security (RBAC, authentication, data protection)Preferred SkillsExperience with Graph RAG workloads and traversal optimizationDevOps tools (Docker, Kubernetes, CI/CD pipelines)Monitoring tools (Prometheus, Grafana, etc.)Experience with other graph databases (Neptune, TigerGraph)Job ExpectationsEnsure stable, secure, and high-performing Neo4j ...

engines generally work TCP/IP, UDP – good understanding of IP networks, such as routing tables, subnets, BGPWorking with containers (aka Docker) and Kubernetes highly advantageousSomebody who naturally and continuously strives to improve a product and its ‘eco-system’ (which includes CI/CD pipelines, automated [performance] testing, [performance] monitoring ...

often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and AzureExperience with Generative AI (GenAI) and agentic systems would be considered a strong plusExcellent time management ...

atmosphere. We have a flat hierarchy and give you the opportunity to make a real impactYour toolkit:You'll work with Kotlin, Kafka, Kubernetes, Docker, AWS Aurora Postgres, and other modern technologies. If you haven't worked with all of these, we value skilled engineers with a willingness to learn.A ...

network and operating system- Experience in external or internal customer facing, complex and large scale project management- Application modernisation patterns and strategies- Containerisation technologies (Docker, Kubernetes, ECS, EKS)- Microservices architecture design and implementation- Serverless computing and event-driven architectures- API design and management- Application refactoring and re-platforming techniques- Cloud ...

expert in one of predictive modelling, classification, regression, optimisation, NLP algorithms or recommendation systemsHave experience with SparkHave knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML FlowHave experience with agile delivery methodologies and CI/CD processes and toolsHave a broad ...

design)Virtualisation platform depth (VMware stack, clustering, HA/DR)Performance tuning and troubleshooting across Linux and Windows systemsContainer platforms (Kubernetes/OpenShift/Docker)Integration with enterprise services (PKI, PAM, monitoring, backup)Automation at scale (Infrastructure as Code, pipelines)Experience supporting mixed OS environments in secure or regulated contextsThis ...

automation scripts.Demonstrated experience leading cross-functional technical initiatives.Desirable SkillsExperience with SASE or Zero Trust Network Access platforms.Hands on experience deploying applications into K8 and Docker environmentsData Loss Prevention (DLP) and SaaS security governance.Advanced detection engineering or SOAR playbook development.Experience supporting ISO 27001 or SOC 2 audits.Relevant certifications (e.g. CISSP, CISM ...

/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and SpacyExperience in of any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes.Experience with working cloud environments such as AWSTechnical Concept RequirementsExperience in any of the following AI/ML topics within a work context: Natural Language Processing ...

XMPP chatExperience in software development technologies e.g. Java, C#, JavaScriptExperience in deploying software applications into cloud-based and on-premises environmentsExperience with containerised workloads (Docker, Kubernetes and Rancher)Knowledge of administration and operation of military command information systems, tactical radio devices and radio networks, and ITIL (desirable)Knowledge and experience ...

Ledgy expands into new forms of compensation Our Tech Stack* Language: TypeScript Frontend: React, Tailwind CSS, tRPC Backend: tRPC, Node.js, MongoDB, Temporal Infrastructure: Docker, GitHub Actions, GCP, Terraform Cloud, Kubernetes *We don’t expect proficiency in this specific stack What Your Journey Could Look Like First 30 Days Build relationships ...

models at scaleExpertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platformsStrong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some of the following:Experience with speech-to-text or text-to-speech Contributions to open-source projects or published ...

scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some of the following: Experience with speech‐to‐text or text‐to‐speech Contributions to open‐source projects or published ...

Experience working in a regulated environment (e.g., Medical Devices, HealthTech) or dealing with clinical data. Knowledge of cloud platforms (AWS/GCP) and containerization (Docker). Experience with Large Language Models (LLMs) and Generative AI techniques and their applications in healthcare or data synthesis. Ability to leverage AI productivity tools ...

data science delivers impact across the business. Product & Tech at Marshmallow Backend and Infrastructure: Latest Java μService, Spring Boot with Spring Cloud, Dynamodb, Terraform, Docker, AWS Fargate, Datadog, Opslevel, and TeamCity. Frontend and Mobile: TypeScript, CSS-in-JS (Styled Components), React, Redux, Redux Hooks, and other modern state management libraries. ...

processing using Pandas, Numpy, Polars, PySpark, Coroutines, async tasks and Unix. Building scalable applications, with intensive risk‐based processing. Package software for distribution (e.g. Docker, Poetry, python‐wheels, PyInstaller, Databricks bundles). Databricks, Data persistence with relational or non‐relational databases. Familiarity with Cloud Data Technologies, especially AWS (ECS, Lambda ...

expertise: monoliths, services, and hybrids Power user cloud deployment and scaling (AWS preferred) experience and abilities Expert Linux user; including daily containerized workflows with Docker Expert in infrastructure automation: Terraform, Ansible Power user level CI/CD pipeline and release workflow ownership Experience in automated testing: unit, integration ...

/CD standards across multiple teams or pods.Prior work making "invisible" infrastructure legible to non-technical leadership.Our tech stackPlatform & backend: Kotlin, AWS, Postgres, RabbitMQ, Docker, Kubernetes.Gateway & clients: Node GraphQL gateway, React Native/TypeScript mobile app, Relay.Tooling & observability: GitHub, GitHub Actions, Jira, Confluence, Datadog, Sentry, Grafana.Interview processQuick call with ...

across multiple teams or pods. Prior work making 'invisible' infrastructure legible to non-technical leadership. Our tech stack Platform & backend: Kotlin, AWS, Postgres, RabbitMQ, Docker, Kubernetes. Gateway & clients: Node GraphQL gateway, React Native/TypeScript mobile app, Relay. Tooling & observability: GitHub, GitHub Actions, Jira, Confluence, Datadog, Sentry, Grafana. Interview process ...

model is degrading and what to do about it.[Bonus] Experience with VertexAITOOLS & TECHNOLOGIES Languages: Python, SQLData & Transformation: dbt, Snowflake, BigQueryVisualisation & BI: LookerEngineering & MLOps: Docker, GitHubWorkflow & Orchestration: Vertex AI Pipelines (GCP), KubeflowLLMs & GenAI: Gemini API, Claude APIINTERVIEW PROCESSStep 1: People Team Screening Call (30 min)Step 2: Hiring Manager Call ...

cloud common servicesHands-on experience with forensic investigations or large scale incident response in cloud environments.Hands-on experience with containerization methods and tools (e.g. Docker, Kubernetes) including incident response and digital forensics.Certifications (e.g. GIAC, AWS, etc) in cloud or demonstrated equivalent capability.Experience in Incident ResponseHands-on experience with analyzing ...

designing performant relational database solutions. Commercial experience with AWS and/or Azure cloud platforms. Experience designing distributed systems and scalable architectures. Experience with Docker , Kubernetes and containerised deployments. Strong understanding of CI/CD pipelines, automated testing and engineering best practices. Excellent communication skills with experience mentoring engineers … Experience with any of the following would be highly advantageous: Large Language Models (LLMs) Amazon Bedrock Azure AI Foundry PyTorch FastAPI Knowledge Graphs Kubernetes Docker Infrastructure as Code MLOps Event-Driven Architecture Vector Databases Retrieval-Augmented Generation (RAG) Technology Stack Python SQL FastAPI PyTorch Docker Kubernetes AWS Azure ...

Proven experience developing microservices and deploying them on major cloud providers (AWS, Azure, or GCP). Working knowledge of containers and container orchestration (e.g. Docker, Kubernetes). Experience with non‐SQL databases (e.g. DynamoDB, MongoDB). Strong understanding of RESTful APIs and service integration patterns. Familiarity with OAuth 2.0 … testing, software verification, and design patterns. Nice to Have Advanced proficiency in Java and Gradle. Experience developing microservices using Spring Boot within containerised deployments (Docker/Kubernetes). Proven experience designing and scaling event‐driven and distributed architectures in production environments. Proven experience deploying and managing production infrastructure using IaC. ...

optimise cloud‐based services on AWS or Azure for scalability and performance Design and implement backend systems using Java, Python, or Go Use Docker for containerisation to standardise deployments Develop and maintain CI/CD pipelines to streamline delivery processes Write clean, well‐documented code following best practices Participate … environments Hands‐on experience deploying and managing cloud solutions on AWS or Azure Strong skills in Java, Python, or Go programming languages Knowledge of Docker and containerisation techniques Understanding of DevOps practices, CI/CD pipelines, and automated testing Excellent communication and teamwork skills Ability to adapt quickly within fast ...

DynamoDB, AWS CloudWatch, AWS IAM, Python, SQL, Java, Bash, GitLab CI/CD, Jupyter Notebooks, Apache Spark/PySpark, Terraform, Docker Key Skills Strong proficiency in Python, SQL, Java, and Scripting languages such as Bash Hands-on experience testing Big Data platforms and Data Lake solutions Strong experience with … automated test frameworks Strong understanding of CI/CD practices using GitLab pipelines Experience with infrastructure-as-code tools such as Terraform Familiarity with Docker and containerised testing environments Understanding of dimensional data models and slowly changing dimensions Experience validating structured and unstructured data workflows Strong analytical and root cause ...