101 to 125 of 886 Containerisation Jobs in the UK

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 (eg, Python, JavaScript ...

design, PII handling, secrets management, policy enforcement, human‐in‐the‐loop approvals, auditability. Languages: Advanced Python plus one of Java/TypeScript/Go; containerization (Docker/K8s). Leadership & Communication Executive presence: influence C‐suite decisions with crisp, data‐backed narratives. Lead distributed teams across geographies/time zones ...

Python, Node.js, or C# Deep understanding of microservices architecture, event‐driven systems, and distributed computing Proficiency in cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker). Advanced knowledge of SQL and NoSQL databases. Strong background in designing scalable, high‐performance systems. Desirable Experience in the gaming industry ...

random. Can be as little as 0 a month to a few a month). Relevant experience in a majority of these concepts Containerisation (Docker & Kubernetes). In-depth knowledge of Linux operating systems, focusing on Debian and RHEL/CentOS. Cloud service providers such as Google Cloud Platform ...

Amazon Aurora. Expert-level Python development skills. Proven experience designing and building highly available, scalable and resilient software solutions. Strong experience with containerisation and orchestration technologies, including Docker, Kubernetes and Helm. Experience with Git, Infrastructure as Code (IaC) and CI/CD practices. Good understanding of Test-Driven Development ...

cloud platforms (AWS, Azure, or GCP); exposure to cloud-native AI tools (e.g., SageMaker, Vertex AI, Azure ML Studio) is a plus. Awareness of containerisation technologies (e.g., Docker); exposure to orchestration tools (e.g., Kubernetes) is beneficial but not essential. Emerging data engineering skills, such as working with data pipelines ...

/attestation, and experience in consolidating fragmented user identities into a unified identity model. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerisation technologies (e.g., Docker, Kubernetes). Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill. Experience with Domain-Driven Design ...

APIs (e.g., LLM-assisted coding, prompt engineering, integrating AI services into applications) Solid experience with cloud platforms in production (AWS, Azure, or GCP), including containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation, or similar) Experience designing systems for reliability, scalability, and observability Ability to navigate and become effective ...

native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data ...

financial services engineering team, including tooling evaluation, integration, and measuring productivity outcomes.* Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code.* Master's degree in Computer Science, Finance, or a related field; professional certifications such ...

Comments (RFC) process. End-to-End Ownership: Embrace our "You build it, you own it" philosophy by taking full responsibility for the development, containerization, deployment, and ongoing maintenance of your services. Observability & Quality: Ensure your code is reliable, highly testable, and well-covered by unit and integration tests. Integrate robust ...

financial services engineering team, including tooling evaluation, integration, and measuring productivity outcomes. Familiarity with cloud platforms (AWS, Azure, or GCP) and DevOps practices including containerisation, CI/CD pipelines, and infrastructure as code. Master's degree in Computer Science, Finance, or a related field; professional certifications such ...

Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you: Work-life balance is important ...

relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow). Strong experience with data engineering concepts (ETL/ELT, data integration ...

best practices in the Cloud Native and Platform Engineering space. About You Scale Experience: Proven experience building and operating large-scale distributed systems. Containerization: Strong experience running web-scale deployments of containerized systems using Kubernetes and/or Amazon container services (ECS/EKS). Problem Solver: A proactive approach ...

Need 5+ years of experience with AWS services such as VPC, EC2, ECS, EKS, ELB, S3, RDS, etc. 5+ years of experience with containerization and orchestration such as Docker and Kubernetes Strong knowledge with a scripting language, such as Python, Go, or PowerShell Experience with modern application development practices such ...

Framework, Go, or vCentre Platforms & Systems •Experience with RedHat/CentOS Linux (sysadmin & Bash) or Windows (sysadmin & PowerShell) Tooling •Jenkins •InfluxDB •Grafana •Understanding of containerisation & orchestration (Docker, Kubernetes, OpenShift) ________________________________________ Desired Competencies •vCentre •Terraform •Splunk •JavaScript •Atlassian toolset •Cloud platforms (e.g., AWS Cloud Practitioner) •Test management tools (TestRail, X-Ray) •Dashboarding ...

Infrastructure as Code using Terraform, Bicep, or ARM templates, alongside scripting in PowerShell, Bash, or Python.Deep understanding of Azure cloud services, cloud-native architectures, containerisation, and Kubernetes, with a focus on scalability, resilience, and automation.Experience embedding DevSecOps practices, Azure security controls, identity management (Entra ID), and governance frameworks within cloud ...

this role • Ideally 3 years of experience of Infrastructure engineering - design, build, deploy, test and support • Deployment across on prem and cloud infra • Kubernetes, Containerisation, Platform Engineering • Kubernetes architecture - pods, services, deployments and networking, software defined networking • Scripting, e.g. Python/Shell • Experience of Docker, including image creation, container management ...

Code using Terraform, Bicep, or ARM templates, alongside scripting in PowerShell, Bash, or Python. Deep understanding of Azure cloud services, cloud-native architectures, containerisation, and Kubernetes, with a focus on scalability, resilience, and automation. Experience embedding DevSecOps practices, Azure security controls, identity management (Entra ID), and governance frameworks within cloud ...

Looking For) Essential Skills 1. Experience deploying, monitoring and maintaining production services We're looking for engineers who have worked hands‐on with: Containerisation (Docker) & Service orchestration (Kubernetes or similar) Managing and maintaining real‐time endpoints or APIs Automated deployment into production environments This is the most important area ...

open-source projects (GitHub profile demonstrating collaborative development) • Cloud computing experience with AWS, GCP, or Azure • Infrastructure as Code experience (Terraform, CloudFormation, etc.) • Containerisation experience (Docker, Podman, etc.) • Experience with agent-based modelling (e.g. MATSim, etc.) • Experience programming in Java a plus • Familiarity with population synthesis best practices and relevant ...

Public Cloud Expertise: In‐depth knowledge of AWS, Azure, or GCP services, architecture, and best practices. DevOps Mastery: Excellent knowledge of CI/CD, containerisation, and serverless technologies. Networking: Expertise in designing and managing secure, scalable AWS network architectures (VPC, VPN, Load Balancers, Transit Gateway). Experience Leadership on Large ...

extensive cloud automation knowledge with DevOps culture. We ensure we document our architecture and infrastructure as code, using technologies such as Terraform and OpenAPI. Containerisation is a big part of empowering our teams to develop, deploy and scale their applications, but so too is using AWS Lambda and avoiding ...

platforms, or infrastructure tooling. Experience designing and operating large‐scale distributed systems. Proficiency with infrastructure‐as‐code tools (Terraform, CloudFormation). Strong understanding of containerization and orchestration (Docker, Kubernetes). Experience with CI/CD pipelines and DevOps practices. Knowledge of networking, security, and identity management in cloud environments. Excellent ...