1,576 to 1,600 of 2,980 Remote Docker Jobs

Solid understanding of relational database structures, indexes, theories, principles, and practices Strong fundamental understanding of AWS or Azure and Cloud Native infrastructure solutions Experience working with container services in Docker Experience with the Rust programming language is a plus Training in secure coding practices (preferred) Our Fantastic Benefits We offer company-wide bonuses based on monthly sales targets, employee referral More ❯

5+ years of hands-on experience deploying Computer Vision models in production environments Strong proficiency in Python Experience with cloud environments (AWS, GCP) and tools for ML model deployment (Docker, Kubernetes, etc.) Technical Skills: In-depth understanding of computer vision techniques, including image classification, detection, and segmentation Familiarity with Large Vision Models is a big plus Knowledge of SQL and More ❯

e.g. Atlassian o Diagnosing and troubleshooting application issues resulting in service outages o Troubleshooting skills across different levels of the stack o Understanding of ITIL o Micro-services architectures, Docker and container platforms such as Openshift, Kubernetes Awareness and insight into technology trends to adopt new cutting edge tools Applicants will need to be eligible to work in the UK More ❯

Swift). Desktop: Cross platform desktop app built with Electron (TypeScript). Database: MySQL (Aurora DB), Redis (ElastiCache), MongoDB (AWS DocumentDB). Cloud & DevOps: AWS (20+ services), Kubernetes (EKS), Docker, Infrastructure as Code (CloudFormation, Terraform), CI/CD (Jenkins, GitHub Actions), Observability (AWS, Grafana). Development tools: GitHub, Jira, Notion, ChatGPT, Gemini, LangChain, AI-native IDE's (Cursor, JetBrains), LLM More ❯

that is on a mission to help every company become an AI company via our ML SaaS platform. Primary skills we consider: Python Secondary skills we consider: Kubernetes, Microservices, Docker, GCP, Maths, Machine Learning Employment type: Permanent Remote working: Flexible remote (up to 4 days p/w) We are looking for a brilliant senior developer who wants an exciting More ❯

engagement skills Knowledge or appreciation of some the listed technologies; Foreman; Puppet; Satellite; Ansible; Nagios; AI/ML; Big Data; Elastic Search; IaaS; PaaS; HPC; DevOps; AWS; Azure; Kubernetes, Docker, OpenShift; Linux based applications What we will do for you: Competitive compensation Pension scheme DXC Select - Our comprehensive benefits package (includes private health/medical insurance, childcare vouchers, gym membership More ❯

engagement skills Knowledge or appreciation of some the listed technologies; Foreman; Puppet; Satellite; Ansible; Nagios; AI/ML; Big Data; Elastic Search; IaaS; PaaS; HPC; DevOps; AWS; Azure; Kubernetes, Docker, OpenShift; Linux based applications What we will do for you: Competitive compensation Pension scheme DXC Select - Our comprehensive benefits package (includes private health/medical insurance, childcare vouchers, gym membership More ❯

year of required education. Relevant certifications may be substituted for education or years of experience Experience with Golang, Kotlin/Java, and/or Python Experience creating containerized applications (docker) Experience deploying containerized applications to an orchestration platform (Marathon/Mesos, Kubernetes, etc.) Experience working independently to solve complex problems Excellent communication and collaboration abilities U.S. citizenship required Active TS More ❯

and clear documentation Experience or interest in the following would also be valuable: Managing or supporting connected devices or remote systems Working with Linux-based systems CI/CD, Docker or Kubernetes Internal tooling, API design and service orchestration Frontend technologies such as React Networking, messaging protocols or event-driven systems We encourage applications from candidates with transferable skills or More ❯

as 3D geometric data · Large scale, data-intensive systems in production · Distributed computing frameworks, such as Spark, Dask, Ray Data etc. · Cloud platforms such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via More ❯

as 3D geometric data · Large scale, data-intensive systems in production · Distributed computing frameworks, such as Spark, Dask, Ray Data etc. · Cloud platforms such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via More ❯

as 3D geometric data · Large scale, data-intensive systems in production · Distributed computing frameworks, such as Spark, Dask, Ray Data etc. · Cloud platforms such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via More ❯

as 3D geometric data · Large scale, data-intensive systems in production · Distributed computing frameworks, such as Spark, Dask, Ray Data etc. · Cloud platforms such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via More ❯

as 3D geometric data · Large scale, data-intensive systems in production · Distributed computing frameworks, such as Spark, Dask, Ray Data etc. · Cloud platforms such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via More ❯

as 3D geometric data · Large scale, data-intensive systems in production · Distributed computing frameworks, such as Spark, Dask, Ray Data etc. · Cloud platforms such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via More ❯

production-grade AI. Create streamlined workflow pipelines for model training, testing, monitoring and deployment, leveraging cloud-native tools. Cloud & Container Management: Deploy and manage applications using AWS services, Kubernetes, Docker, and other DevOps best practices. LLM Deployment & Fine Tuning: Drive the deployment and fine tuning of large language models (LLMs) while ensuring efficient training pipelines and model hosting. Monitoring & Performance More ❯

and clear documentation Experience or interest in the following would also be valuable: Managing or supporting connected devices or remote systems Working with Linux-based systems CI/CD, Docker or Kubernetes Internal tooling, API design and service orchestration Frontend technologies such as React Networking, messaging protocols or event-driven systems We encourage applications from candidates with transferable skills or More ❯

Storybook,Chromatic) and their integration within workflows. Experience working in cloud environments (AWSAmplify, Azure Static Web Apps, or Netlify) for front-end hosting andCI/CD. Knowledge of containerisation (Docker) and itsuse in front-end development pipelines . Experience with performance optimisationtechniques such as lazy loading, code splitting, and cachingstrategies. Interest in animation libraries (Framer Motion,GSAP) to enhance user More ❯

infrastructure as code tools like Terraform or CloudFormation. Ability to produce high-quality technical documentation and work with version control systems (e.g., BitBucket, GitHub). Experience with container technologies (Docker) and orchestration systems (e.g., ECS). Familiarity with CI/CD pipelines, DevOps practices, and designing REST or GraphQL APIs. Proficient with collaboration tools like JIRA, Confluence, Mural, and Slack. More ❯

solutions utilizing Full-Stack technologies (MEAN stack, C#, JSON, REST API). Familiarity with middleware such as RabbitMQ, MSMQ, and MassTransit is desirable. Experience with container technologies such as Docker and Kubernetes. Strong experience with ORM Frameworks, including TSQL and NoSQL databases like MSSQL and MongoDB. Knowledge of SDLC processes and practices. Experience designing and deploying applications on AWS. What More ❯

and clear documentation Experience or interest in the following would also be valuable: Managing or supporting connected devices or remote systems Working with Linux-based systems CI/CD, Docker or Kubernetes Internal tooling, API design and service orchestration Frontend technologies such as React Networking, messaging protocols or event-driven systems We encourage applications from candidates with transferable skills or More ❯

building infrastructure using a DevOps mindset in the Azure public cloud Extensive experience with distributed systems and ability to build secure cloud at scale Extensive experience using containerization technologies (Docker, Kubernetes etc) Ability to both manage and lead stakeholders and clients on engagements instilling trust and confidence through effective communication skills Extensive experience with IaC such as Terraform Extensive experience More ❯

and clear documentation Experience or interest in the following would also be valuable: Managing or supporting connected devices or remote systems Working with Linux-based systems CI/CD, Docker or Kubernetes Internal tooling, API design and service orchestration Frontend technologies such as React Networking, messaging protocols or event-driven systems We encourage applications from candidates with transferable skills or More ❯

data, such as3Dgeometric data · Large scale, data-intensive systems in production · Distributed computing frameworks, such as Spark, Dask, Ray Data etc. · Cloud platforms such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing technologies, such as Apache Hive, Iceberg etc. o Data transformation via More ❯

React Native is beneficial. Experience with GraphQL, preferably using Apollo Client with React for efficient data fetching and state management. Experience in Unit Testing with Jest Continuous Integration experience (Docker) A passion for coding and keeping up to date with new technologies frameworks and techniques Extensive experience in an Agile environment Exceptional communication skills to interact with clients and onsite More ❯