551 to 575 of 1,112 Containerisation Jobs

payments, and integrations. Skilled in server-side languages such as Node.js, Python, or Go, with a proven track record of implementing complex business logic. Familiarity with cloud platforms and containerization technologies like AWS and Docker Demonstrate a passion for delivering high-quality code, with particular emphasis on accuracy, security, and scalability. Exhibit excellent problem-solving abilities and effective communication skills More ❯

Skills: Experience with UML , SysML, or other modelling methods Background in defence projects or mission-critical systems Knowledge of IP networking protocols and secure communications Familiarity with virtualisation and containerisation technologies (e.g. Docker, VMware) Use of Atlassian toolsets (JIRA, Confluence, Bitbucket) Understanding of CI/CD pipelines and tools like Jenkins , JFROG Artifactory Qualifications: A Bachelors or Masters degree in More ❯

/safety critical areas). Real time and Embedded development experience. Automated testing. VMware. Domain Driven Design practices. Asynchronous programming and event driven systems using Message queues. Cloud DevOps. Containerisation (e.g. Docker). The right stuff: Fluent in English with strong communication skills. Effective problem-solving skills. Structured and professional approach to engineering. What you bring: We encourage you to More ❯

include S3, EBS, and EC2. Using requirements tracking programs such as JIRA or Confluence. Implementing DevSecOps CI/CD pipelines to support a multi-tenant environment. Cloud deployment, DevOps, containerization, web service and API management, and computing optimization. Cloud database, storage, virtualization, and network configurations. What We Offer You Highly Competitive Salary: Recognizing and rewarding your expertise and contributions. Generous More ❯

Experience of RedHat or CentOS Linux (System Admin and Bash) and or Windows (System Admin and PowerShell). - Use of tooling such as Jenkins, InfluxDB and Grafana. - Experience of containerisation and orchestration technologies e.g. Docker, Kubernetes, OpenShift. Desired competencies: - Experience of infrastructure engineering on Cloud platforms and technologies e.g. such as AWS Cloud Practitioner. - Understanding of software and infrastructure testing. More ❯

using AWS from the AWS CLI, CDK, Terraform/CloudFormation perspective. ● Experience in the IT services industry. ● Strong knowledge of CI/CD pipelines, infrastructure as code (IaC), and containerisation (Docker, Kubernetes, EKS, Fargate etc.). ● Worked for an AWS Professional Services partner and familiar with all AWS Partner activities, e.g. use of AWS Partner Network portal. ● Proven track record More ❯

using AWS from the AWS CLI, CDK, Terraform/CloudFormation perspective. ● Experience in the IT services industry. ● Strong knowledge of CI/CD pipelines, infrastructure as code (IaC), and containerisation (Docker, Kubernetes, EKS, Fargate etc.). ● Worked for an AWS Professional Services partner and familiar with all AWS Partner activities, e.g. use of AWS Partner Network portal. ● Proven track record More ❯

using AWS from the AWS CLI, CDK, Terraform/CloudFormation perspective. ● Experience in the IT services industry. ● Strong knowledge of CI/CD pipelines, infrastructure as code (IaC), and containerisation (Docker, Kubernetes, EKS, Fargate etc.). ● Worked for an AWS Professional Services partner and familiar with all AWS Partner activities, e.g. use of AWS Partner Network portal. ● Proven track record More ❯

sessions. Key requirements: Must-Have: Strong experience with AWS services: Glue, Lambda, S3, Athena, Step Functions, EventBridge, EMR, EKS, RDS, Redshift, DynamoDB. Strong Python development skills. Proficient with Docker , containerization, and virtualization. Hands-on experience with CI/CD , especially GitLab CI. Solid experience with Infrastructure as Code (Terraform, CloudFormation, or AWS SAM). Demonstrated ability to own and operate More ❯

QUALIFICATIONS - Experience with AWS cloud infrastructure development tools and workflows - Knowledge of GenAI applications in development automation - LLM tuning, LLM Distillation and sagemaker, Prompt Engineering - Experience with serverless computing, containerization and orchestration (Lambda, Docker, Kubernetes) - Background in build systems and CI/CD pipelines using CDK Our inclusive culture empowers Amazonians to deliver the best results for our customers. If More ❯

with cloud infrastructure, ideally Oracle Cloud and its portfolio, including provisioning, configuration, and management of services. Ability to automate everything using Terraform and appropriate toolchains. In-depth knowledge of containerisation technologies (e.g. Docker) and orchestration tools like Kubernetes. Solid understanding of cloud security best practices, including identity and access management (IAM), network security, and encryption. Experience with Git or other More ❯

building ML models in production using AWS ecosystem, especially ML related services such as SageMaker. Familiarity with large language models (LLM). Proficiency in multiple programming languages. Understanding of containerization technologies like Docker and orchestration tools like Airflow. We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k More ❯

Entity Framework DevOps processes, CI/CD, writing Unit Tests Testing frameworks (e.g. xUnit, NUnit, MSTest), and broader testing tools such as Selenium, Playwright, Docker, Postman GitHub or similar Containerization tech: Docker, Kubernetes Relevant Microsoft Certifications The Where and When This is a full-time role (35 hours per week) based in our Manchester office. Since March 2020, we have More ❯

components, connectors and hardware architecture of a solution) SW development or real time systems E xperience or an appreciation of some the following technical skills would be greatly beneficial: Containerisation (podman/kubernetes) Security (SELinux, STIG/CIS lockdown, cryptographic principles, TPM) Software build process (Make, CMake, Maven, Gradle, Jenkins, git, artifactory) Cyber security Embedded SW Development Rhapsody or Enterprise More ❯

latency, sustainability and cost-effective performance. Programming and NLP Tooling: Advanced Python proficiency and expertise with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain. MLOps and Deployment: Experience with containerization tools (Docker, Kubernetes) and workflow management tools (Azure ML Studio, MLFlow). Cloud and AI Infrastructure: Hands-on experience with (preferably Azure) Cloud environments for scalable AI deployment, monitoring, and More ❯

Knowledge of Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as GitHub Actions, Azure Pipelines. Basic understanding of cloud computing services (Google Cloud, Azure) and containerisation for deploying and managing applications. Collaboration with the business units & Pod involvement: Act as a liaison between the Digital Delivery Automation Chapter and various Pods, ensuring alignment with overall product More ❯

Cloud Computing Platforms Designing Secure and Scalable Systems Proven commercial experience of a selection of the following technologies/skills is desirable: Distributed Event Streaming NoSQL Databases Relational Databases Containerisation, Automation and DevOps practices Infrastructure, Platform and Software Delivery Operations Behaviours We'll assess you against these behaviours during the selection process: Communicating and Influencing Delivering at Pace Seeing the More ❯

based and hybrid solutions to support agile development and continuous delivery with platforms like AWS, Azure, and Google Cloud. •Provide guidance on selecting and integrating cloud-native services for containerization, microservices, and orchestration (e.g., Kubernetes, Docker). •Develop and maintain comprehensive documentation for DevOps processes, pipelines, and automation scripts. Qualifications: •Bachelor's or Master's degree in Computer Science, Information … understanding of DevOps principles, including automation, CI/CD, and infrastructure management. •Expertise in CI/CD tools such as Jenkins, GitLab, Azure DevOps, or similar. •Extensive experience with containerization and orchestration tools, such as Docker and Kubernetes. •Strong experience with cloud platforms (AWS, Azure, GCP) and implementing DevOps solutions in cloud-native environments. •Proficiency in Infrastructure as Code (IaC More ❯

maintain CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, or CircleCI to automate build, test, and deployment processes, enabling rapid and reliable software delivery. Containerization and Orchestration: Implement containerization solutions using Docker and container orchestration platforms such as Kubernetes or Amazon ECS to streamline application deployment, scaling, and management. Monitoring and Logging: Implement monitoring and More ❯

control processes and tools (git lab, Bitbucket, or equivalent) Desired Skills: - Familiarity with OpenSplice/Cyclone Data Distribution Services (DDS) - Modular Open Systems Architecture (MOSA) design concepts - Experience with containerization development and deployment environments - Familiarity with CI/CD pipelines, DevOps practices, and Automated Testing More ❯

to deployment. Proven ability to provide technical oversight and mentorship . Desirable: Experience within Financial Services/Insurance environments. Familiarity with API-first solution architectures . Prior exposure to containerisation (Azure Container Apps, Kubernetes, Docker). More ❯

in Computer Engineering or related • 16+ years of relevant experience • Experience with Infrastructure as a code and languages o Ansible, Chef, Puppet, etc. • Experience with Linux System Administration and containerization tools • Ability to use source Control tools (Git, Subversion) • Experience in Cloud based services (AWS, Azure) • Experience in security review of applications and infrastructure • Experience with the following is preferred More ❯

Boot, Spring Cloud, Spring Data, Spring AI) Experience using LLM based workflows and integrating AI capabilities into applications Experience with cloud deployment services (AWS preferred, Azure, GCP) Knowledge of containerization and orchestration (Docker, Kubernetes) Experience with observability tools (Prometheus, Grafana, New Relic, Datadog More ❯

in Computer Engineering or related • 11+ years of relevant experience • Experience with Infrastructure as a code and languages o Ansible, Chef, Puppet, etc. • Experience with Linux System Administration and containerization tools • Ability to use source Control tools (Git, Subversion) • Experience in Cloud based services (AWS, Azure) • Experience in security review of applications and infrastructure • Experience with the following is preferred More ❯

Basic understanding of CI/CD, GIT, Jenkins, or automation Desired Skills, but not required: • Experience with Eggplant • Experience with GIT, Jenkins, or CI/CD Pipelines • Experience with containerization methodology and tools (Docker/Kubernetes) • Active TS/SCI Clearance Insight Global expects to pay 100K - 175K for this position, but candidates exact salaries will vary based on a More ❯