1 to 25 of 60 Part-Time Containerisation Jobs in England

Expert knowledge of CI/CD pipelines, automation, and orchestration (GitHub Actions, GitLab CI, Jenkins, Terraform, Ansible, Helm). \n Strong expertise in containerisation and orchestration (Docker, Kubernetes, OpenShift/Tanzu). \n Deep knowledge of cloud environments (AWS, Azure) and hybrid deployments. \n Experience embedding cyber security controls ...

Familiarity with SQL and NoSQL databases \n Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) \n Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes \n Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries ...

Bedrock, or LangChain \n Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications \n Previous experience deploying and managing LLM-model based applications and agents ...

authorisation mechanisms (OAuth, JWT, etc.). \n \n Experience with version control systems like Git and GitHub/GitLab. \n \n Familiarity with containerization technologies such as Docker. \n \n Strong understanding of web performance, security best practices, and error handling. \n \n Ability to write clean, efficient, and scalable ...

managing cloud architecture and technologies in AWS environments. \n Experience with web application services such as NGINX, Apache, JBoss. \n Knowledge of OpenShift Containerisation, RHEL 6,7,8, Docker and Kubernetes. \n Experience with monitoring systems e.g., ELK, Nagios, New Relic, DataDog, Splunk etc. \n Working knowledge of digital delivery ...

managing cloud architecture and technologies in AWS environments. \n • Experience with web application services such as NGINX, Apache, JBoss. \n • Knowledge of OpenShift Containerisation, RHEL 6,7,8, Docker and Kubernetes. \n • Experience with monitoring systems e.g., ELK, Nagios, New Relic, DataDog, Splunk etc. \n • Working knowledge of digital delivery ...

mocking libraries and performance testing tools. \n\n \n \n Knowledge of security testing concepts is desirable. \n\n \n \n SQL expertise and containerisation tools experience are beneficial. \n\n \n \n Proven ability to influence, mentor and lead across engineering functions. \n\n \n \n Awareness ...

Bedrock, or LangChain \n \n Utilize cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications \n Preferred qualifications, capabilities and skills \n \n Experience with MLOps tools ...

production deployment, optimizing for performance, reliability, scalability, and cost \n Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes \n Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance ...

Automation of account onboarding/offboarding (API-driven) \n \n Integration with SIEM/SOC tooling for audit and monitoring \n \n Containerisation platforms (Kubernetes, Docker) \n \n Experience working with enterprise identity and access management solutions \n\n Security Clearance \n This role is subject to pre-employment screening ...

Hardware Security Modules (HSMs) (e.g. Thales) \n \n Cross-domain/secure communications environments \n \n Automation of certificate management at scale \n \n Containerisation platforms (Kubernetes, Docker) \n\n Security Clearance \n This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel ...

with cloud platforms (AWS, Azure) and Infrastructure as Code \n \n Hands-on use of DevSecOps tools and CI/CD pipelines \n \n Containerisation platforms (Kubernetes, Docker) \n\n Security Clearance \n This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel ...

industries with knowledge of relevant standards. \n Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop. \n Familiarity with containerization and orchestration tools such as Docker and Kubernetes. \n Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. ...

best practices (CI/CD, testing, code reviews etc). \n\n \n \n Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. \n\n \n \n Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. ...

related field (or equivalent experience) \n • Some industry experience, with at least 2+ years in a cloud or virtualization role \n • Experience with containerisation and Kubernetes \n • Strong experience with VMware vSphere, Microsoft Hyper-V, or KVM \n • Familiarity with public cloud platforms such as AWS, Azure, or Google Cloud ...

infrastructure \n \n Automation of VCF lifecycle (patching, upgrades, deployment) \n \n Integration with enterprise identity and security services (AD, PKI, PAM) \n \n Containerisation platforms (Kubernetes, Docker) \n\n This is not an exhaustive list, and we are keen to hear from you even if you might not have ...

solve business problems \n \n Full-stack development experience (RESTful APIs, front-end frameworks such as Angular) \n \n Experience with Cloud and Containerization technologies \n \n CI/CD pipelines, DevOps practices, and automated testing frameworks \n \n \n Domain Expertise\n \n \n Significant experience in financial services ...

solve business problems \n \n Full-stack development experience (RESTful APIs, front-end frameworks such as Angular) \n \n Experience with Cloud and Containerization technologies \n \n CI/CD pipelines, DevOps practices, and automated testing frameworks \n \n \n Domain Expertise\n \n \n Significant experience in financial services ...

engineering, and evaluation techniques. \n Experience working with large, complex datasets and applying statistical analysis. \n Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). \n Experience managing data science teams and coaching team members. \n Problem-solving skills and ability to work independently ...

best practices (CI/CD, testing, code reviews etc). \n\n \n \n Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. \n\n \n \n Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. ...

best practices (CI/CD, testing, code reviews etc). \n\n \n \n Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. \n\n \n \n Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. ...

plus). \n \n Strong understanding of data preprocessing, feature engineering, and evaluation techniques. \n \n Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). \n \n Strong communication skills for both technical and non-technical audiences. \n\n Preferred qualifications \n \n \n Experience fine-tuning ...

latency, cost, and reliability, and to take AI agents from research to production \n Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices \n Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage ...

capabilities and skills \n ⢠Detailed understanding of public clouds and hands on knowledge on building cloud based environments. \n ⢠Expert knowledge of containerisation, Kubernetes and related tooling. \n ⢠Deep understanding of cloud-native and traditional networking architectures. \n ⢠Proven experience designing and operating scalable, secure ...

Platform & Cloud Engineering: \n \n Architecture and delivery of scalable cloud data and AI platforms on AWS, Azure or GCP; experienced with containerisation, IaC, event-driven architectures and CI/CD. \n\n \n Track record of delivering production Python services and APIs; working knowledge of cloud-native application patterns ...