826 to 850 of 3,595 Remote Docker Jobs

Backend Java development and it's ecosystem (Spring boot, Maven) Proven experience in designing, developing & deploying scalable backend systems. 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 and maintain the highest level More ❯

languages such as Python/BASH and knowledge of Gitlab CI/CD for continuous integration. Exposure to backup solutions like NetBackup. Hands-on experience with containerisation technologies like Docker and Kubernetes. Understanding of cloud storage solutions and familiarity with clustered file systems such as GPFS, Isilon, Qumulo, and Ceph. Knowledge of non-clustered file systems like ZFS, XFS, and More ❯

of models. • Deep understanding of ML Ops practices, infrastructure automation, and the ML lifecycle in production environments. • Solid experience with cloud-native architecture (AWS, GCP or Azure), containerisation (e.g. Docker, Kubernetes), and big data processing frameworks (e.g. Spark, BigQuery). • Expertise in Python and SQL, with working knowledge of ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Demonstrated ability More ❯

in designing data storage solutions 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. Participate in code reviews and More ❯

Prometheus and Grafana Logging and log aggregation solutions like Splunk, ElasticSearch and AWS CloudWatch Logs Tracing & debugging on various level including container, network, storage, compute Certifications in Linux, AWS, Docker, Kubernetes Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when More ❯

strong focus on Backend Python development and its core ecosystem. Proven experience in designing, developing & deploying scalable backend systems. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS) or Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of working. More ❯

needed. (Desirable) Proficient in graph data modeling and network analysis using Neo4j and NetworkX, delivering advanced relationship-based insights and enhancing simulation frameworks. (Desirable) Experienced in containerizing applications with Docker to ensure reproducible development environments and streamline deployment processes. In Return You Will Receive Competitive salary Generous Annual Leave Discretionary Annual Bonus Pension Scheme Life Assurance Private Medical Cover (inc More ❯

Python and AI/ML libraries such as TensorFlow, PyTorch, Keras, scikit-learn, or similar. Experience with data engineering tools, cloud platforms (AWS, Azure, GCP), and container orchestration (Kubernetes, Docker). Familiarity with cybersecurity concepts and challenges, preferably within DoD or intelligence community environments. Knowledge of DevSecOps principles and ability to integrate AI models into CI/CD pipelines. Strong More ❯

under the mentorship of senior team members Participate in code reviews to develop clean, secure, testable and maintainable code Gain exposure to DevOps tools and processes, including containerisation (e.g., Docker), CI/CD pipelines, and observability platforms (e.g., Datadog, Grafana) Troubleshoot and resolve technical issues in collaboration with your team Stay curious and proactive, learning new technologies and contributing ideas More ❯

O subsystems, memory management, and storage scheduling. Familiarity with storage protocols like NFS, SMB, iSCSI, or NVMe-oF. Strong experience working with containerized workloads and orchestration platforms (e.g., Kubernetes, Docker). Excellent incident response, troubleshooting, and documentation practices. Experience with building and operating managed services at scale such as object, file and block storage (AWS, GCP, Azure) Excellent communication skills More ❯

e.g., Jest API Testing DevOps IaC, specifically Terraform AWS e.g. EC2/ECS/Fargate Monitoring and alerting tooling e.g. Grafana/Kibana/Mpulse/Rigor Containerisation e.g. Docker Whats in it for you? Hybrid working 24 days holiday (+ 8 bank holidays) plus paid volunteer time Annual bonus scheme Enhanced maternity and adoption leave Company pension with up More ❯

Take ownership of the Learn Multiplexer product, which schedules course sessions for learners on the DataCamp platform. Qualifications Has 2+ years of administering/maintaining infrastructure related tools (AWS, Docker, K8s) Has 2+ years of development experience (TypeScript, Python) Has 2+ years experience advising on/implementing deployment pipelines (CI/CD) Has 2+ years of security tooling experience (vulnerability More ❯

solutions that address critical problems in the Space domain. Basic Qualifications: • Experience with CI/CD pipelines and/or tools (e.g., Jenkins, GitLab) • Experience with containerization technologies (e.g., Docker, Kubernetes, Rancher, etc.) • Python development experience • TS/SCI clearance required to start Desired Skills: • Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) • Experience with machine learning frameworks like More ❯

solutions that address critical problems in the Space domain. Basic Qualifications: • Experience with CI/CD pipelines and/or tools (e.g., Jenkins, GitLab) • Experience with containerization technologies (e.g., Docker, Kubernetes, Rancher, etc.) • Python development experience • TS/SCI clearance required to start Desired Skills: • Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) • Experience with machine learning frameworks like More ❯

world-class engineering culture. Technology Stack Backend: Java, Spring Boot, Entity Framework, REST Frontend: React, Angular, JavaScript/TypeScript Data & Messaging: Oracle, PostgreSQL, Kafka, Avro Infrastructure & DevOps: Kubernetes (PKS), Docker, Helm, Terraform APIs & Modeling: API-first (OpenAPI), UML Languages: English C1 Spanish Native What can we offer? 23 days of Annual Leave plus the 24th and 31st of December as More ❯

solutions that address critical problems in the Space domain. Basic Qualifications: • Experience with CI/CD pipelines and/or tools (e.g., Jenkins, GitLab) • Experience with containerization technologies (e.g., Docker, Kubernetes, Rancher, etc.) • Python development experience • TS/SCI clearance required to start Desired Skills: • Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) • Experience with machine learning frameworks like More ❯

end teams. Experience with database technologies including SQL and NoSQL solutions, with a focus on designing efficient schemas and queries for AI-powered applications. ML Ops knowledge including containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, and monitoring systems for AI applications. System architecture skills with a track record of designing scalable, resilient, and maintainable systems. You understand performance bottlenecks More ❯

technical knowledge is required in several of the following areas: Network management platforms, DevOps platforms, APIs (JSON, gRPC, curl/Postman/requests etc.), scripting (Python, Bash), Containers (Kubernetes, Docker), Linux, Ansible, KVM General knowledge is preferred in the following areas: Ethernet, VLANs, IP routing, TCP/IP, Multicast, Protocols (BGP, ISIS, OSPF, PIM, IGMP; etc.). Working experience with More ❯

with the ability to convey 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 or other caching and analytics More ❯

Azure, or GCP). Expertise in Infrastructure-as-Code (IaC) using Terraform or similar tools. Proficiency in monitoring tools (e.g., Prometheus, Datadog) and health check implementation. Experience with containerization (Docker, Podman, Kubernetes). Scripting experience (Python, Bash, or equivalent) to automate infrastructure management. Knowledge of networking and security best practices for cloud environments. Benefits and Work Environment At Promise, we More ❯

Azure) Proven experience leading cloud migration projects Strong Knowledge Of Azure architecture (security, governance, high availability) Networking (TCP/IP, VPNs, DNS, load balancing) IaC: Terraform/CloudFormation Containers: Docker/Kubernetes CI/CD: GitLab, GitHub, CodePipeline, CodeDeploy Scripting: Python/PowerShell/Ruby/Go/Node.js Microservices & event-driven architecture Agile delivery at enterprise scale Azure certifications More ❯

with infrastructure powered by Google Cloud, Vercel, AWS and other cloud-native platforms. Architecture Design: Choose the right tools for the job. From monoliths to microservices, REST to gRPC, Docker to Kubernetes, your architectural decisions will shape maintainable, performant systems. API Expertise: Solid experience designing and consuming REST and gRPC APIs, handling auth flows, and building robust interfaces between systems. More ❯

. Proven track record of 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. Experience with recommendation systems, reinforcement More ❯

Continuous Integration/Continuous Delivery REST API development and/or consumption. Desirable skills/experience you may have Experience with Cloud Platforms such as AWS, GCP or Azure Docker, Kubernetes Jenkins, Gitlab CI. Additional Information: The application form consists of an online assessment, CV upload, followed by application questions. Please visit - https://www.jlpjobs.com/how-to-apply More ❯

urgency, and the ability to drive initiatives independently. Solid Background in Automated Testing: Including both unit and e2e tests, using frameworks like Jest & Playwright. Containerization and Orchestration : Experience with Docker and Kubernetes. Cloud Services Familiarity : Knowledge of cloud platforms like AWS, Azure, or GCP. Preferred Applied AI: Previous experience leading or being involved in AI-based feature development is highly More ❯