76 to 100 of 417 Containerisation Jobs in the South East

well as the management of cloud-based platforms, such as Azure, AWS and Google Cloud. The Senior Platform Engineer work with infrastructure as code, containerisation, and modern CI/CD practices. They will also work with other members of the team to develop and implement DevOps practices, and mentor more ...

well as the management of cloud-based platforms, such as Azure, AWS and Google Cloud. The Senior Platform Engineer work with infrastructure as code, containerisation, and modern CI/CD practices. They will also work with other members of the team to develop and implement DevOps practices, and mentor more ...

well as the management of cloud-based platforms, such as Azure, AWS and Google Cloud. The Senior Platform Engineer work with infrastructure as code, containerisation, and modern CI/CD practices. They will also work with other members of the team to develop and implement DevOps practices, and mentor more ...

well as the management of cloud-based platforms, such as Azure, AWS and Google Cloud. The Senior Platform Engineer work with infrastructure as code, containerisation, and modern CI/CD practices. They will also work with other members of the team to develop and implement DevOps practices, and mentor more ...

well as the management of cloud-based platforms, such as Azure, AWS and Google Cloud. The Senior Platform Engineer work with infrastructure as code, containerisation, and modern CI/CD practices. They will also work with other members of the team to develop and implement DevOps practices, and mentor more ...

well as the management of cloud-based platforms, such as Azure, AWS and Google Cloud. The Senior Platform Engineer work with infrastructure as code, containerisation, and modern CI/CD practices. They will also work with other members of the team to develop and implement DevOps practices, and mentor more ...

well as the management of cloud-based platforms, such as Azure, AWS and Google Cloud. The Senior Platform Engineer work with infrastructure as code, containerisation, and modern CI/CD practices. They will also work with other members of the team to develop and implement DevOps practices, and mentor more ...

well as the management of cloud-based platforms, such as Azure, AWS and Google Cloud. The Senior Platform Engineer work with infrastructure as code, containerisation, and modern CI/CD practices. They will also work with other members of the team to develop and implement DevOps practices, and mentor more ...

well as the management of cloud-based platforms, such as Azure, AWS and Google Cloud. The Senior Platform Engineer work with infrastructure as code, containerisation, and modern CI/CD practices. They will also work with other members of the team to develop and implement DevOps practices, and mentor more ...

well as the management of cloud-based platforms, such as Azure, AWS and Google Cloud. The Senior Platform Engineer work with infrastructure as code, containerisation, and modern CI/CD practices. They will also work with other members of the team to develop and implement DevOps practices, and mentor more ...

ability to work independently or as part of a collaborative team. Beneficial Key Skills Experience with identity, authentication, or security-related technologies. Knowledge of containerization tools (e.g., Docker) and CI/CD systems. Understanding of networking concepts (TCP/IP, serial interfaces, device communication). Experience with cloud platforms ...

cloud architecture. Hands-on experience with Jenkins and CI/CD pipelines. Strong problem-solving skills and attention to detail. Preferred Skills: Familiarity with containerization technologies such as Docker and orchestration with Kubernetes. Knowledge of agile development methodologies. Experience with performance optimization and troubleshooting. If you are a passionate Full ...

with Unix-based commands and shell scripting (e.g. Bash). Experience with version control systems (e.g. Git) and understanding of CI/CD pipelines, containerisation (Docker), and Kubernetes deployment environments. Excellent communication skills and ability to work towards tight deadlines. You may also have Experience developing or using AI applications ...

Data Factory, Azure Databricks, or Azure Synapse Analytics. • Solid understanding of software engineering principles, including version control (Git), testing, and code review. • Experience with containerization technologies (Docker, Kubernetes). • Strong problem-solving skills and the ability to work independently and as part of a team. • Excellent communication and interpersonal skills. ...

most of: Python for data workflows and automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation ...

every 6 weeks to London/Manchester/Newcastle office)SC eligible Around £500 per day- Node.js- Python- AWS - Serverless/EC2/SQS- Containerisation - EKS- IAC – Terraform, Ansible- CI/CD – Gitlab- Monitoring – Prometheus, Grafana, Alert Manager- Mentor/leadership experience ...

least one of AngularJS/React/VueJS/Windows infrastructure - IIS, Windows Server Understanding of relational databases (e.g., SQL Server) Experience with containerisation - Docker and K8s Scripting languages - Bash or PowerShell ...

Ironic SDK or bare-metal provisioning workflows. Exposure to Vault, GitLab CI/CD, and workflow orchestration tools (Temporal or Cadence). Experience with containerization (Docker/Podman) and Kubernetes. Understanding of monitoring, alerting, and operational enablement best practices. ...

products Basic qualifications: Extensive experience conducting Bankend Development using Python. Concurrency and Asyn exp Demonstrated experience using FastAPI Cloud Experience - GCP Essential SQL Docker Containerization Unit testing experience - TDD or Test Suit ML or AI experience would be desriable. Experience within Life Sceiences or Pharma Sector If you are available ...

Life Cycle (SDLC) best practices. Knowledge of SQL for database management and query optimization. Proficiency in Linux and Docker, ideally including system administration and containerization for deployment and scaling. Preferred Skills & Experience: Quantitative Finance experience and knowledge strongly preferred, most especially to include a deep understanding of Futures and Systematic ...

Playwright) and observability to deliver resilient, maintainable, and production-ready business logic. Drive DevOps excellence by collaborating on CI/CD pipelines (Jenkins, Concourse), containerisation (Docker) and Kubernetes deployments. Mentor and empower fellow engineers through thoughtful code reviews, technical guidance and fostering a culture of collaborative problem-solving. Influence technical ...

brownfield rollout scenarios. Knowledge of software testing methodologies for infrastructure automation. Experience with other programming languages (e.g., Go, PowerShell, Bash). Understanding of containerization and cloud-native patterns. Experience working in high-pressure, global teams on multi-year strategic projects. Personal Attributes: Self-motivated and able to operate independently with ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...

Automate model training, testing, deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists ...