46 to 70 of 994 Docker Jobs in London

systems including SQL, NoSQL, and data storage patterns for AI applications Familiarity with cloud platforms such as AWS and Azure, and containerization technologies including Docker and Kubernetes Understanding of asynchronous programming, performance optimization, and scalable backend architectures Experience with unit testing, debugging, version control, and software engineering best practices Familiarity ...

accelerators Essential Experience in SRE, DevOps, or Cloud Infrastructure Engineering roles Strong knowledge of AWS Azure, or GCP environments Hands-on experience with Kubernetes, Docker, and container orchestration Proven experience building and maintaining CI/CD pipelines Strong experience with infrastructure-as-code (Terraform, Helm, or CloudFormation) Working knowledge ...

accelerators Essential Experience in SRE, DevOps, or Cloud Infrastructure Engineering roles Strong knowledge of AWS Azure, or GCP environments Hands-on experience with Kubernetes, Docker, and container orchestration Proven experience building and maintaining CI/CD pipelines Strong experience with infrastructure-as-code (Terraform, Helm, or CloudFormation) Working knowledge ...

scikit-learn. Strong understanding of algorithms, data structures, and software design principles. Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL, NoSQL) and data processing tools (Pandas, NumPy). Soft Skills Excellent problem-solving skills. Strong communication abilities. Capability to work ...

would also be beneficial: AWS certifications at Associate level or above, such as Solutions Architect, Developer, or DevOps Engineer. Microservices architecture and API design. Docker and container orchestration platforms such as Kubernetes, Amazon EKS, or ECS. Cloud monitoring, observability, performance optimisation, and FinOps. CI/CD tools such as Jenkins ...

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 ...

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 ...

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. 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 ...

with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns, e.g. 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 ...

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 ...

security best practices and tools Proficiency with Terraform for infrastructure as code Strong experience with Kubernetes for container orchestration Proficiency with containerization technologies like Docker Experience with GitHub Actions Solid understanding of cloud platforms (Ideally Azure but AWS, GCP accepted) Experience with observability tools (e.g., Prometheus, Grafana, ELK stack) Working ...

comparable tools: Version control: Git CI/CD: CircleCI, GitLab CI/CD, GitHub Actions Cloud platforms: AWS, Google Cloud Containers and orchestration: Docker, Kubernetes Infrastructure as code: Terraform, CloudFormation, Ansible Scripting: Python, Bash, JavaScript Monitoring and observability: Datadog, AppDynamics, CloudWatch, Splunk Operating systems: Linux, UNIX Working knowledge of security ...

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 ...

Gateway (Transit Gateway highly beneficial). - Terraform and Infrastructure as Code (IaC). - Jenkins and CI/CD pipeline design, implementation and support. - Docker and containerised platforms. - Linux administration. - Platform engineering and infrastructure ownership. - Technical governance, assurance and engineering standards. - Live service management and 24/7 operational support. - Incident ...

About you Strong experience administering and supporting AWS cloud environments. Hands‐on experience with Kubernetes in production environments. Strong understanding of container technologies including Docker and Kubernetes. Experience managing cloud‐native applications and microservices architectures. Experience with Infrastructure as Code tools such as Terraform or CloudFormation. Knowledge of CI/ ...

financial services environments. Experience with data governance and quality tools such as Dataplex, Data Catalog, dbt, or Great Expectations. Experience with containerization and orchestration (Docker, Kubernetes/GKE). Exposure to other data platforms such as Snowflake, Databricks, or Kafka. Experience supporting AI/ML workloads or Vertex AI pipelines. ...

Azure API Management, Azure Service Bus, Azure Monitor, Application Insights, Azure Front Door, Azure CDN). Experience with containerization and orchestration tools such as Docker and Kubernetes. Key Competencies Strong problem solving and analytical thinking Clean coding and attention to detail Collaboration and communication skills Ownership mindset with focus ...