1 to 25 of 82 Containerisation Jobs in Central London

modern data platforms work reliably in production . You are comfortable working across cloud platforms, streaming, distributed systems, data processing, Infrastructure as Code and containerisation . You understand that effective data platforms need to be secure, scalable, observable, resilient and maintainable , not simply capable of processing data. You take ownership ...

understanding of Agile framework & principles Strong proficiency in Java (preferably Java 17+), Spring Boot, and RESTful API development Experience with cloud platforms (AWS preferred), containerization (e.g. Docker, Kubernetes) and microservices architecture Familiarity with CI/CD tools such as Jenkins, AWS CodePipeline, GitLab CI, or GitHub Actions Solid understanding ...

Engineering, DevOps, Cloud Engineering, or Platform Engineering disciplines. Extensive experience with Azure and/or AWS cloud platforms. Strong understanding of Kubernetes, AKS, EKS, containerization, Docker, and cloud‐native architectures. Expertise with Infrastructure as Code tools such as Terraform and Ansible. Strong background in observability platforms such as Grafana, Prometheus ...

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 ...

TensorFlow). Knowledge of command-line tools and shell scripting. Knowledge of software engineering best practices, including continuous integration (CI) and continuous deployment (CD), containerization, and infrastructure as code. Strong problem-solving and debugging skills, and experience working in cluster settings or cloud-based environments. Experience operating production services — monitoring ...

development and it’s ecosystem (Java Spring 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 ...

system health and reliability. Solid SQL and data management skills, with an appreciation for AI-enabled, data-driven systems. Familiarity with CI/CD, containerisation (GitHub Actions, GitLab CI, Docker), and DevSecOps practices in modern AI development environments. A pragmatic approach to testing, knowing what to cover, what to skip ...

pilot execution, adoption measurement, and production handoff to receiving teams. Extensive experience with major cloud platforms such as AWS, Azure, or GCP, including serverless, containerization, managed services, automated deployment, monitoring, and cloud security standards. Experience designing cloud-based AI solution architectures that integrate managed AI services, LLM providers, retrieval ...

Python and modern engineering practices (clean code, testing, packaging, dependency management, Git-based workflows) Hands-on experience with AI deployment patterns and infrastructure (e.g. containerisation with Docker, orchestration such as Kubernetes, API-based serving, batch/stream inference) Practical MLOps experience: CI/CD for ML, model packaging and release ...

load testing suites, or performance benchmarking systems. Capital markets knowledge: Familiarity with exchange technology, FIX protocols, market data formats, or trading workflows. Docker/containerization basics: Growing relevance for deployment and testing. QuestDB or Dolt: Time-series or version-controlled database experience. Mindset and Methodology Operational mindset: You think about ...

more solution domains Deep expertise across the GCP ecosystem, including: Infrastructure as Code (Terraform), CI/CD tools (Jenkins, GitHub Actions), and containerization (GKE, Docker). Data integration using services like Cloud Dataflow or Pub/Sub, API development with Apigee, and working with Google Cloud databases such as Cloud ...

architecture patterns.Experience with RESTful API development and integration.Proven track record in developing base frameworks, reusable programs and defining standards.Knowledge of cloud platforms AWS and containerization technologies.Strong understanding of object-oriented programming principles and design patterns.Proficiency in database design and SQ and NoSQL databases like Redis, DynamoDB.Good understanding of the Agile ...

development using React.js. Scripting languages, preferably Python. NoSQL or distributed databases (e.g., Redis, Couchbase) Automation/configuration management (e.g., Ansible, Puppet, Chef) Containerisation and orchestration (Docker, Kubernetes). Public cloud (e.g., AWS) and IaC (e.g., CloudFormation) Skills set and Core Competencies Required for Role: Highly proficient in Java; able ...

DevOps tooling, automation and testing Ability to lead technical discussions, coach developers, and set engineering standards Experience working in Agile environments Nice to have: Containerisation experience (Docker, Kubernetes) Nice to have messaging integration experience with Kafka or RabbitMQ Exposure to event-driven architectures Experience integrating systems within membership, retail, leisure ...

analyse performance, load, stress, and volume tests. Familiarity with monitoring and observability tools (Grafana, Splunk) and diagnostics platforms (New Relic, Dynatrace). Understanding of containerisation technologies (Docker, Kubernetes) and big data platforms (Databricks). Ability to analyse complex performance issues and provide actionable recommendations. Strong scripting skills (e.g., Python, JavaScript ...

Excellent communication and stakeholder engagement skills Nice to have Experience with Azure AI, Microsoft Copilot Studio and AI Agents Azure Kubernetes Service (AKS) and containerisation experience Microsoft Azure and/or Power Platform certifications Experience working within enterprise governance and architecture frameworks Why join us? Work with modern Microsoft technologies ...

cloud-based, with a particular focus on Microsoft Azure, alongside AWS and hybrid cloud environments. The technology landscape is varied and can include microservices, containerisation, serverless technologies, service buses, Infrastructure as Code, CI/CD pipelines, cloud security and emerging technologies including AI. This is a role for someone ...

processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible, configuration-driven training runs. Containerisation and infrastructure as code: Docker and CUDA-based GPU images, plus enough Terraform to ship your own model to an environment through code review rather than ...

time or high-throughput applications Low-latency engineering experience Strong analytical and mathematical problem-solving ability Experience with cloud platforms, ideally GCP Docker/containerisation experience REST API development experience Experience with event-driven architecture or messaging Exposure to AI, machine learning or AI-enabled systems Strong understanding of performance ...

DevOps - Strong experience with AWS and cloud-native architectures - Proven knowledge of CI/CD, automation, and DevOps best practices - Experience with Kubernetes/containerisation technologies - Strong programming skills (e.g. Python, Go, Node.js) - Experience with observability tools (e.g. OpenTelemetry, Datadog) - Understanding of security, performance optimisation, and scalability Desirable Skills - Experience ...

restoring services following outages Experience working in a you build it, you run it environment Strong collaborative and stakeholder communication skills Desirable: Docker/containerisation, Jenkins, Kibana, Grafana and Airflow. #J-18808-Ljbffr ...

Relevant technologies include: Languages: Python Frameworks: Django, FastAPI Cloud: Amazon Web Services (AWS) Search: Elasticsearch Databases: PostgreSQL Event Streaming: Apache Kafka Version Control: GitHub Containerisation and Orchestration: Kubernetes Caching and Data Storage: Redis Experience across the entire technology stack is not essential. Strong Python backend engineering skills and the ability ...

strong systems engineering foundation. Cloud & Virtualisation: Extensive hands‐on expertise with AWS, Azure, Private Cloud (VMware IaaS, Azure AVS, VxRail, ESX, vSAN), and containerisation (Docker, Kubernetes, CaaS, FaaS, Serverless). Storage Technologies: Demonstrable experience working with Hitachi, Dell, and NetApp storage solutions. Infrastructure as Code & Tooling: Comprehensive experience implementing ...

operating CI/CD pipelines using modern source control, build, test, artefact management, and deployment technologies. Strong understanding of Infrastructure as Code, configuration management, containerisation, and infrastructure automation Experience with technologies such as Git, GitLab or GitHub, or equivalent tooling. Desirable Qualifications Experience supporting DevSecOps, software delivery, or digital engineering ...

Infrastructure as Code (e.g., Terraform, CloudFormation) and scripting languages (e.g., Python, Bash) for complex automation workflows. Strong experience with CI/CD pipelines, containerisation (Docker), and orchestration platforms (e.g., Kubernetes) Deep understanding of cloud security frameworks, identity management, and compliance standards (e.g., ISO, SOC, GDPR). Proven ability to design ...