46 to 70 of 1,279 Docker Jobs in London

frameworks (FastAPI, Asyncio). Proven senior experience developing, operating, and scaling cloud-native SaaS applications and serverless architectures. Hands-on expertise with containerisation (Docker) and serverless architectures (Cloud Run, Vertex AI). Experience with Infrastructure as Code (Terraform) and CI/CD pipelines (GitLab CI). Familiarity with cloud security ...

resilience and delivery across multiple teams and suppliers. The candidate must demonstrate significant experience in the following: Platform Engineering & Infrastructure AWS cloud platform Terraform Docker NGINX PostgreSQL (EC2 and RDS) Transit Gateway API Gateway AWS Virtual Desktop Linux administration Windows administration VPN and OpenVPN technologies Elastic and Kibana GitLab Source ...

with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication ...

Building enterprise-grade web applications or backend services Cloud & DevOps Experience with cloud platforms such as AWS or Azure Containerisation and orchestration using Docker and Kubernetes Infrastructure as Code (Terraform, Ansible or equivalent) Data & Integration Working with SQL and NoSQL data stores Familiarity with structured and unstructured data concepts Messaging ...

with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication ...

routing, firewalls, and network connectivity. Strong problem-solving, troubleshooting, and analytical skills. Excellent communication and stakeholder management skills. Desirable Experience Experience supporting Kubernetes, Docker, and microservices-based environments. Experience operating hybrid cloud and on-premise infrastructure. Experience implementing observability platforms such as Splunk, Datadog, Grafana, Prometheus, Dynatrace, or similar technologies. ...

design and implementation Microservices and distributed system design SQL databases with strong query optimisation skills NoSQL databases Messaging technologies such as Kafka or 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 ...

Building enterprise‐grade web applications or backend services Cloud & DevOps Experience with cloud platforms such as AWS or Azure Containerisation and orchestration using Docker and Kubernetes Infrastructure as Code (Terraform, Ansible or equivalent) Data & Integration Working with SQL and NoSQL data stores Familiarity with structured and unstructured data concepts Messaging ...

infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker, Kubernetes), or serverless architecture. Awareness of principles like well architected and secure by design Desirable Previous experience in a senior engineering role, guiding teams to successful ...

services, serverless (Lambda, ECS, ApiGateWay), network Infrastructure, and service monitoring. Experience with Google Cloud Platform (VPC, PSC, GKE, Cloud Armour) Strong Kubernetes and Docker experience Proven experience leading the strategic technical design and operational service design of a mission critical big data or microservices platform. Must have a strong background ...

Software Engineering practices and principles, such as CI/CD pipelines for verifying, building, testing and pushing deployment artefacts Experience in OCI containerisation (e.g. Docker) and associated orchestration technologies such as Kubernetes Experience implementing observability solutions, including centralised logging, monitoring, alerting, and operational dashboards Strong knowledge of infrastructure and cloud ...

PythonExperience with Git, GitOps workflows, and CI/CD platforms. Strong understanding of observability tools such as Prometheus, OpenTelemetry. Familiarity with container technologies including Docker and Kubernetes. Strong troubleshooting and problem-solving skills. Preferred QualificationsExperience operating blockchain infrastructure or Web3 platforms. Experience deploying and managing blockchain nodes (Ethereum, Bitcoin, Solana ...

with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns eg microservices and event-driven. Experience with containerization technologies (e.g. Docker, Kubernetes). Proven ability to manage and lead engineering teams to success. Expertise in designing scalable and secure software architectures. Desirable : Knowledge of emerging technologies ...

closely with cross-functional teams, including developers, and other QA team members, to design, develop and enhance automation frameworks. Familiarity with containerisation technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for testing microservices in a containerised environment. Automated API testing with Java (e.g. RestAssured/SoapUI)Experience with Contract Testing ...

closely with cross-functional teams, including developers, and other QA team members, to design, develop and enhance automation frameworks. Familiarity with containerisation technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for testing microservices in a containerised environment. Automated API testing with Java (e. RestAssured/SoapUI) Experience with Contract Testing ...

Spring Integration), and pipeline/adapter design patterns (retry, dead‐letter queues, error isolation). Cloud & Infrastructure : Cloud platforms (GCP, AWS), container orchestration (Kubernetes, Docker), and JVM tuning for containerized workloads. Observability & Operations : Application instrumentation (metrics, distributed tracing, structured logging) and production support in high‐availability environments. Data & Performance : Data ...

income, wealth management, or broader financial services technology. Familiarity with AWS or other public cloud platforms. Experience with containerisation and orchestration technologies such as Docker and Kubernetes. Knowledge of observability tooling, monitoring frameworks, distributed tracing, and production support best practices. Experience working in globally distributed Agile engineering teams. Understanding ...

Camel, Spring Integration), and pipeline/adapter design patterns (retry, dead-letter queues, error isolation)Cloud & Infrastructure: Cloud platforms (GCP, AWS), container orchestration (Kubernetes, Docker), and JVM tuning for containerized workloadsObservability & Operations: Application instrumentation (metrics, distributed tracing, structured logging) and production support in high-availability environmentsData & Performance: Data modeling ...

Google Cloud SQL databases, GCS buckets, IAM permissions...)Databases: PostgreSQL (CloudSQL and CloudNativePG), SingleStore, ElasticSearchRabbitMQ: queuing systemTemporal.io: workflow automation platformOthers: ArgoCD, Istio, Vault, Github, Docker (for local development)Backend: Microservices written in C# ASP.NET Core 8 (running exclusively on Linux) & GolangFrontend: React + Typescript, Jest, Cypress, Vite...Who you areMore than ...

monitoring, ML pipelines, model serving, or LLM-powered applications and retrieval-augmented generation (RAG).Cloud and platform engineering experience with AWS, Azure or GCP; Docker or Kubernetes; Infrastructure as Code such as Terraform; or deployment pipelines such as GitHub Actions. Depth in distributed or event-driven systems, asynchronous processing ...

systems engineering, or infrastructure software development. Architect-level expertise designing and operating cloud-native platforms using AWS, Azure, or GCP. Deep experience with Kubernetes, Docker, and cloud-native application orchestration. Strong proficiency in Golang or similar languages (e.g. Rust), particularly with infrastructure as code. Familiarity with UK and international compliance ...

assessment tooling such as MGN, CAST, Dynatrace, App Dynamics, SonarQube, Veracode and AWS X-Ray Strong understanding of cloud-native architecture patterns: microservices, containers (Docker/Kubernetes/OpenShift), serverless (Lambda, API Gateway), event-driven design, and API-first principles — sufficient to assess application fitness for each pattern and design ...

Azure Service Bus, Azure SQL, Azure Storage, Microsoft Entra ID, Azure API Management, Azure Monitor, Application Insights, Azure DevOps, Git, CI/CD pipelines, Docker and Infrastructure as Code; Nice to have: Microservices and event-driven architecture, Azure Container Apps or AKS, RabbitMQ or Kafka, Power Platform integration, automated testing ...

Experience delivering robust, scalable and high-quality digital solutions Strong understanding of public cloud platforms , ideally AWS, Azure and/or GCP Experience with Docker and Kubernetes Experience with Infrastructure as Code , particularly Terraform Strong understanding of CI/CD and DevOps practices , using tools such as Jenkins or Azure ...

experience with AWS – or other – cloud‐native development, automated testing, and deployment practices that support reliable delivery. Comfort working with SQL databases, Git, Docker‐based workflows, and modern CI/CD pipelines. Practical understanding of AI‐assisted engineering tools and broader LLM concepts, with the judgment to use them responsibly ...