46 to 70 of 1,074 Docker Jobs in London

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 ...

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 ...

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 ...

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 ...

stakeholders. Desirable Experience Microsoft Azure certifications. HashiCorp Terraform certification or equivalent practical experience. Experience with Azure Kubernetes Service (AKS) and container technologies such as Docker and Kubernetes. Experience with Azure Landing Zones and enterprise-scale Azure environments. Experience with GitOps approaches and tooling. Experience with policy-as-code and automated ...

Models (LLMs) Retrieval-Augmented Generation (RAG) Reinforcement Learning Frameworks & Technologies PyTorch TensorFlow Scikit-learn LangChain Hugging Face OpenAI and Azure OpenAI Services Vector Databases Docker Kubernetes Cloud Platforms Microsoft Azure Azure AI Services Azure Machine Learning AWS or Google Cloud (advantage) Development Practices Git DevOps/DevSecOps CI/ ...

/CD principles and hands-on experience with tools such as Jenkins, GitLab CI/CD, or CircleCI Strong understanding of containerization (e.g., Docker, Kubernetes) and microservices architecture Skilled in using observability and monitoring tools such as Prometheus, Grafana, ELK stack, or AWS CloudWatch Excellent analytical and troubleshooting abilities, especially ...

Jenkins, GitLab CI, GitHub Actions, and configuration management tools (Terraform, Ansible, etc.). Cloud & Container Platforms: Deep understanding of cloud infrastructure (AWS preferred), Kubernetes, Docker, and serverless technologies. Scripting & Programming: Proficiency in Python, Bash, or similar scripting languages for automation and environment tooling. Systems & Networking: Strong knowledge of Linux systems ...

GitLab, GitHub Actions and Git-based delivery workflows. • Strong scripting and automation skills using Python and Bash. • Experience with Terraform and working knowledge of Docker, Kubernetes and GitOps practices. • Strong incident, problem and change management capabilities. • Proven experience conducting root-cause analysis and implementing lasting resolutions. • Familiarity with ITIL principles ...

developer, preferably in the financial industry or proprietary trading. Strong proficiency in Python for data processing, backend logic, and model integration. Solid DevOps experience: Docker, CI/CD pipelines (e.g. GitHub Actions, GitLab CI, Jenkins), Linux administration, and monitoring/logging tools (e.g. Prometheus, Grafana). Experience with Kubernetes ...

SaaS platforms at scale. Strong proficiency in Python, Go, Java, or C++ with experience designing microservices, APIs, and production automation. Deep experience with Kubernetes, Docker, and container orchestration in large-scale multi-cluster environments. Proven background in SRE practices: SLI/SLO design, observability platforms (metrics/logs/traces ...

boot, Maven, Python) Frontend development and it’s ecosystem (JS/TS, React, Npm) Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). Understanding of database technologies such as SQL, Elasticsearch or MongoDB Strong communication, collaboration & problem solving skills, ideally with some experience in agile ways ...