101 to 125 of 1,057 Containerisation Jobs

providing technical leadership while remaining hands-on To be suitable, you'll need strong hands-on experience across most of: AWS Kubernetes/containerisation Terraform/Infrastructure as Code Linux CI/CD Git Automation/scripting Platform Engineering, DevOps or Production Engineering Supporting and troubleshooting production environments ...

design principles Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) Familiarity with cloud platforms (Azure/AWS/GCP) Exposure to containerisation (Docker) and orchestration (Kubernetes) Strong grounding in clean code principles and design patterns (SOLID, DRY) Experience with test automation, code quality tools, and static analysis ...

Infrastructure as Code (Terraform or similar). Kubernetes and Docker. CI/CD pipelines using GitLab, Jenkins or similar tools. Linux administration and scripting. Containerisation technologies. Monitoring and observability tools such as Prometheus, Grafana and the Elastic Stack. Artifactory, Nexus, Vault, Packer or Serverless technologies (desirable). Agile delivery using ...

debugging skills. Excellent communication and stakeholder collaboration skills. Experience working within Agile environments. Desirable Experience with serverless technologies such as AWS Lambda. Knowledge of containerisation technologies including Docker and Kubernetes. Experience with event-driven architectures and messaging platforms. Exposure to fintech, financial services, or highly regulated environments. What ...

programming experience in at least one mainstream language (Python, Go, JavaScript). Solid understanding of networking fundamentals, security principles and distributed systems. Experience with containerisation and orchestration (Kubernetes, ECS). Nice to have experience with AI assisted coding tools or agentic AI. Strong leadership skills and mentorship experience Strong communication ...

practices in the Cloud Native and Platform Engineering space. About You/Qualifications 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 ...

client. Experience with cloud platforms such as AWS, Azure or Google Cloud. Familiarity with DevOps practices and principles, such as CI/CD pipelines, containerisation (e.g. Docker) and associated orchestration. This is a genuinely exciting opportunity to join a dynamic, values-driven consultancy at a pivotal point in its growth ...

workload management \n Experience managing container infrastructure and supporting development transformation to a container first model. \n Solid knowledge of Linux systems, networking, and containerization (Docker-Kubernetes). \n Programming-Scripting: Proficiency in Python, Ansible, or similar languages. \n \n \n Visa ...

with Terraform, CloudFormation, or Pulumi. Hands‐on experience with CI/CD pipelines, using tools such as GitLab CI, Jenkins, or ArgoCD. Knowledge of containerization and orchestration, including Docker and Kubernetes. Strong scripting skills in Python, Bash, or PowerShell for automation. Understanding of AWS networking concepts, including VPCs, subnets, security ...

GitHub Actions, CI/CD, DevOps automation, and Infrastructure‐as‐Code. Experience with Azure/AWS/GCP cloud platforms. Strong knowledge of Kubernetes, containerization, and cloud‐native platforms. Deep understanding of Data Mesh, Data Governance, Security, and Compliance. Experience with observability, monitoring, and platform operations. Strong stakeholder management ...

safe deployments. Support ML workflow orchestration; experiment tracking, training run management, and data pipeline reliability. Ensure reproducibility across research and production environments through containerisation and rigorous environment management. Define monitoring, alerting, and incident response processes so the team can move fast without things silently breaking. Implement security best practices: secrets ...

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 ...

networking fundamentals Hands-on experience with infrastructure-as-code tools like Terraform Familiarity with CI/CD tools (e.g. GitHub Actions, Jenkins) and containerisation (Docker, Kubernetes) A proactive approach to monitoring, alerting, and incident management Strong scripting skills (e.g. Bash, Python) and automation mindset Excellent communication and collaboration skills Experience ...

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 ...

Python and/or shell Deep hands-on experience with CI/CD tooling and building release automation at scale Strong experience with Kubernetes, containerisation, and cloud-native operations Proven experience running production services: observability, on-call, incident response, and reliability engineering Understanding of production security and change-management controls ...

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 ...

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 ...

Data: SQL, data pipelines/ETL/ELT, caching strategies, data quality checks, reproducible inputs/outputs. DevOps: CI/CD, infrastructure as code, containerisation (e.g. Docker), monitoring/alerting, incident management. Quality: unit/integration tests, performance tests, model validation frameworks, feature flags. Benefits Competitive base salary. 25 days ...

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 ...

work effectively in multi‐supplier environments or within a single‐team delivery model Proven leadership abilities, including mentoring and coaching team members Knowledge of containerisation and orchestration tools, such as Docker and Kubernetes Up‐to‐date cloud certifications are desirable Understanding of automation in development, testing, and operations, including ...

PowerShell. Demonstrated experience with configuration management tools such as Ansible, Chef, or Puppet. Demonstrated familiarity with cloud platforms (Oracle, AWS, Azure, GCP) and containerization (Docker, Kubernetes). Preferred Additional Skills: Knowledge of data warehousing and big data technologies. Certification in cloud platforms or database management. Experience with Infrastructure as Code ...

Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS , Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What ...