526 to 550 of 1,079 Containerisation Jobs

last 6 months). Ability to work independently in high-security settings and collaborate across technical teams. Preferred Qualifications AWS certifications (e.g., Solutions Architect, DevOps Engineer). Experience with containerization (Docker, ECS) and CI/CD pipelines. Familiarity with government cloud regions (AWS Secret/Top Secret). Prior work supporting federal agencies or defense contractors. Clearance Applicants selected will More ❯

required) Qualifications: Experience with RUST Familiarity with Linux/POSIX platforms Familiarity with fundamental networking implementations and concepts, including basic LAN and WAN networking skills Familiarity with virtualization and containerization technologies Familiarity with the following tools, concepts, and products are a plus: Ubuntu, Red Hat, similar Linux Distributions Networking Protocols Software Reverse Engineering tools (Ida Pro, Ghidra, Boofuzz, Frida) Wireshark More ❯

increase the productivity of the technology department and wider business. There is a wide range of projects in the pipeline with some including: Migration of services to the cloud (containerisation, upgrading to latest .NET/NodeJS, configuring kubernetes, etc) Building a low code testing framework (not traditional automated testing), to enable their BA's and Users to create automated testing More ❯

Solid grasp of C/C++ fundamentals. Able to compile, read, and dissect low-level code to enhance, and integrate with, our security tooling. Practical knowledge of Linux environments,containerization(Docker), andcloud platforms(AWS or comparable). Proven ability to buildCI/CD pipelines(GitLab CI, GitHub Actions). Clear and effective written and verbal communication skills. "Nice to Have More ❯

of buildingETL/ELT pipelines into modern warehouses (BigQuery, Snowflake, Redshift). Familiar with tools like Dagster, Airflow, Prefect, dbt, Dataform, SQLMesh. Cloud experience (we're on GCP) + containerisation (Docker, Kubernetes). Strong sense of ownership over data standards, security, and roadmap. A collaborator at heart - working with analysts, engineers, and product teams to turn data into business impact. More ❯

UI. Experience with databases such as MongoDB and SQL Server, including schema design, indexing, and performance tuning. Familiarity with cloud platforms like Azure (we use Azure). Experience with containerization tools (Docker, Docker Compose) and deployment pipelines. Strong understanding of API design, versioning, and security (OAuth, JWT, API tokens). Comfortable working with Git, agile methodologies, and CI/CD More ❯

including JWT , JSON , Integration, yaml language and Open API Specification Standard. Strong experience in OAuth2 implementations using identity/SSO tools Knowledge of virtualised technologies and techniques, such as containerisation Experience with NoSQL technologies Candidates will Enjoy being part of the company's fast-paced, scale-up environment. Build rapport quickly, creating positive and productive relationships with both internal and More ❯

UI. Experience with databases such as MongoDB and SQL Server, including schema design, indexing, and performance tuning. Familiarity with cloud platforms like Azure (we use Azure). Experience with containerization tools (Docker, Docker Compose) and deployment pipelines. Strong understanding of API design, versioning, and security (OAuth, JWT, API tokens). Comfortable working with Git, agile methodologies, and CI/CD More ❯

Key Vault, vNet, DNS, Firewalls, Express Route/Direct Connect, VPN, GTM, NSG) infrastructure-as-code and Configuration management tools e.g. Terraform, Chef, Puppet, Ansible, Azure. Practical experience with containerization and clustering technologies i.e., Docker/Kubernetes. Building automated CI/CD pipelines with tools such as SonarQube, Fortify, Selenium, etc. Be an excellent communicator, able to influence decision makers More ❯

and scaling. Experience deploying and serving LLMs with frameworks such as vLLM, Triton Inference Server, or Hugging Face TGI . Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Knowledge of MLOps/LLMOps practices , including CI/CD pipelines, monitoring, logging, and autoscaling. Understanding of vector databases (e.g. Pinecone, Weaviate, Milvus) and RAG architectures . More ❯

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 ❯

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 ❯

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 ❯

have the following experience and skills: • 5+ years of experience in cloud technologies including AWS (Lambda, EC2, S3, RDS, CloudFormation, CLI) • Experience with automation tools (Ansible, Jenkins) • Familiarity with containerization (Docker), scripting (Bash), and configuration management • Strong understanding of Identity and Access Management (KeyCloak, AD, PKI) • Operating systems: Linux, Windows, Red Hat Enterprise Linux • Version control systems: GitLab, GitHub • Knowledge 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 ❯

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 ❯