301 to 325 of 3,095 Remote Docker Jobs

high-level language, preferably Python Experience in building/deploying tools related to data pipelines, ETL processes Confident with cloud-native technologies like Kubernetes, Docker Experience deploying open-source technologies such as Python, Node.JS, Ruby, Postgres and related CI/CD pipelines Good understanding of cloud security best practices and More ❯

and debugging skills. • Strong communication and collaboration skills. Nice to have, but not essential: • Exposure to ServiceNow, or other enterprise applications. • Knowledge of Kubernetes, Docker, and containerization for API deployments. #LI-LW1 Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork More ❯

of Python, SQL, Spark, or similar. Data Modelling & Warehousing: Experience with cloud-based data architecture. CI/CD & DevOps: Knowledge of Terraform, GitHub Actions, Docker, Kubernetes. Agile & Collaboration: Ability to work in agile environments and drive data strategies. Security & Compliance: Awareness of cloud security practices and data legislation. Team Leadership More ❯

such as Lambda, IAM, S3, DynamoDB, VPCs, Route53, Secrets Manager. Experience with API Gateways (e.g. GCP). Familiarity with containerization and orchestration tools like Docker and Kubernetes is a plus. Experience with Infrastructure as code, Familiarity with tools like Terraform is a plus. Excellent problem-solving skills and ability to More ❯

and/or Big Data technologies (Hadoop and Spark preferred) Experience with CI/CD pipelines and cloud-relevant technologies like Kubernetes, Helm Charts, Docker, Terraform, and at least one major cloud provider (GCP preferred) Bachelor’s degree in computer science, Information Systems, or a related field or equivalent experience More ❯

field. Familiarity with zero-trust security design. Design and implement Authentication & Authorization solutions (OpenID Connect, OAuth 2.0, SAML 2.0). Experience with multi-stage Docker files. Proficiency with Azure DevOps Pipeline (YAML) or GitHub Actions. Experience with databases like Azure SQL, Azure Cosmos DB, PostgreSQL, or Redis. Knowledge of event More ❯

full development process and the tools required to make developers highly productive. Knowledge of parsing and analysing logs, and troubleshooting issues. Working knowledge of Docker and Kubernetes. Enthusiasm and a strong appetite for learning. Working knowledge on Kubernetes and managing containerized applications. Previous experience in managing infrastructure through code using More ❯

functional teams Programming in Python, Java, .NET, JavaScript, or C++ Using MLOps tools and frameworks Source control with Git, Mercurial, or Perforce Containerization with Docker, Kubernetes Additional experience in the following is desirable but not mandatory, and we will support your development: Refining models in collaboration with data scientists Improving More ❯

that support machine learning workflows. Advanced experience with PostgreSQL (stored procedures, functions, views, etc.). Fluent with GCP cloud platform and containerization tools (e.g., Docker, Kubernetes). Implement and optimise CI/CD pipelines for machine learning model deployment using Gitlab CI. Monitor system performance and implement improvements for scalability. More ❯

across multidisciplinary teams and stakeholders. Strong problem-solving skills and a pragmatic approach to delivering solutions. Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to More ❯

working with non-technical partners such as User Experience and demoing work to stakeholders. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of working. Security clearance: You must be able to gain More ❯

advanced Azure services such as Azure Virtual Networks, Azure App Services, and Azure SQL Database. Containerization and Orchestration: Advanced knowledge of containerization technologies like Docker and orchestration tools such as Kubernetes. Security Expertise: Familiarity with cloud security best practices and experience in applying them to ensure the integrity of test More ❯

flows in SQL; Knowledge of different Data Modeling principles and selecting the appropriate one based on consumer needs; Comfort working with Linux, Git, and Docker to extend and maintain CI/CD workflows, or eagerness to learn about this; Experience in cloud environments (preferably GCP or AWS); Knowledge or experience More ❯

e.g. Bash/Korn, Groovy, Python, etc.). Screen automation technologies (including Selenium, Playwright, and Puppeteer). Modern DevOps environments, particularly virtualization and containerisation (Docker, Podman, Kubernetes, Open Stack, etc.). General concepts of Linux (especially CentOS/Alma/Rocky/RHEL and Ubuntu) and Windows Server. General concepts More ❯

complex information clearly and concisely to technical and non-technical audiences. Ideally, some experience working with CI/CD pipelines and containerization technologies like Docker and Kubernetes. Ideally, some familiarity with data workflow management tools such as Airflow as well as big data technologies such as Apache Spark/Ignite More ❯

DevOps, or infrastructure-focused roles. Strong proficiency with cloud platforms (AWS, Azure, or GCP) and cloud-native architectures. Experience with containerisation technologies such as Docker and Kubernetes. Knowledge of Infrastructure as Code (Terraform, CloudFormation, CDK, etc.). Familiarity with CI/CD tools (GitHub Actions, GitLab CI, or similar). More ❯

Rich UI, robust Eventing Platform and Data layer components utilising a wide range of modern technologies including: Java, RxJava, SpringBoot Kafka, PostgreSQL and Couchbase Docker, Kubernetes, Jenkins, Azure DevOps, Splunk, AppDynamics, New Relic Azure Cloud We are responsible for the software throughout the lifecycle. We maintain a DevOps culture employing More ❯

Redshift), Azure (Synapse, Data Factory, Fabric), GCP (BigQuery, Dataflow). Data Modelling & Storage: Relational (PostgreSQL, SQL Server), NoSQL (MongoDB, Cassandra), Dimensional modelling. DevOps & Automation: Docker, Kubernetes, Terraform, CI/CD pipelines for data flows. Architectural Competencies Data Modelling: Designing dimensional, relational, and hierarchical data models. Scalability & Performance: Building fault-tolerant More ❯

deploying ML models to production environments. Experience with software development concepts including Version Control (e.g., Git), CI/CD pipelines, and containerization tools like Docker and Kubernetes. Experience with cloud platforms (AWS/Google Cloud) for scalable model deployment. Ability to work independently and manage end-to-end ML projects. More ❯

DevOps, or infrastructure-focused roles. Strong proficiency with cloud platforms (AWS, Azure, or GCP) and cloud-native architectures. Experience with containerisation technologies such as Docker and Kubernetes. Knowledge of Infrastructure as Code (Terraform, CloudFormation, CDK, etc.). Familiarity with CI/CD tools (GitHub Actions, GitLab CI, or similar). More ❯

and structure massive volumes of data from multiple sources Experience with Terraform or similar Infrastructure as Code (IaC) tools is a plus Experience with Docker and Kubernetes for containerization and orchestration of data workflows is a plus Exposure to Generative AI in production is a plus. Additional Information The Interview More ❯

and structure massive volumes of data from multiple sources Experience with Terraform or similar Infrastructure as Code (IaC) tools is a plus Experience with Docker and Kubernetes for containerization and orchestration of data workflows is a plus Exposure to Generative AI in production is a plus. Additional Information The Interview More ❯

knowledge is also super useful Familiarity with Cloud Development Kit (CDK) and GitOps Experience operating in a DevOps/agile team environment Understanding of docker, Kubernetes, serverless architecture, and Helm Exposure to platforms like Snowflake, MongoDB, Terraform Cloud, GitHub, and Databricks Strong analytical skills, diligence, and attention to detail Willingness More ❯

and command line: basic ability and knowledge of fundamentals required Cloud software engineering (eg GCP/AWS): basic ability and knowledge of fundamentals required Docker & kubernetes: basic ability and knowledge of fundamentals required SQL or other structured query language: basic ability and knowledge of fundamentals required Problem‐solving mindset and More ❯

equivalent cloud technologies. Data Modelling & Warehousing: Experience with modern cloud-based data architecture and methodologies. CI/CD & DevOps: Understanding of Terraform, GitHub Actions, Docker, Kubernetes in cloud deployment workflows. Agile & Collaboration: Ability to work in an agile environment and drive cloud-first data strategies. Security & Compliance: Awareness of cloud More ❯