3,951 to 3,975 of 5,199 Permanent Docker Jobs

generative AI systems, LLM‐enabled applications or evaluation pipelines. Experience with cloud platforms, MLOps tooling, model serving or platform engineering. Advanced use of Linux, Docker, version control, CI/CD and service‐oriented deployment practices. Experience working across the lifecycle from experimentation and prototyping through to integration and operationalisation. Experience ...

software or computing infrastructure that has been successfully delivered to customers - Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS - Experience in Kubernetes, Docker or containers ecosystem, or experience managing full application stacks from the OS up through custom applications and experience in any Bigdata architecture - Experience with version ...

Boot framework (not only Java or just Spring experience) Experience with Spring Boot, Spring MVC, Spring Data, Sprint Security, JMS, KAFKA, Java, Oracle, Elasticsearch, Docker, Kubernetes/K8, Maven, Gradle, GitLab, CI/CD (All would be nice, but at least a decent subset would be good). Preferred Qualifications ...

Boot framework (not only Java or just Spring experience) Experience with Spring Boot, Spring MVC, Spring Data, Sprint Security, JMS, KAFKA, Java, Oracle, Elasticsearch, Docker, Kubernetes/K8, Maven, Gradle, GitLab, CI/CD (All would be nice, but at least a decent subset would be good). Preferred Qualifications ...

across frontend, mobile, and backend systems, including React, React Native, and modern API‐driven architectures. Solid experience with AWS and cloud‐native platforms (e.g. Docker, Kubernetes), with a focus on scalability, resilience, and distributed systems. Good understanding of full‐stack architecture, including API design and integration, performance optimisation, security ...

translate their needs into actionable changes in the codebase. Technical & infrastructure proficiency: You have strong fundamentals in microservices and cloud-native infrastructure technologies (Docker, Kubernetes, Terraform) alongside languages like Go, Rust, Java, or C++. Collaboration and communication: You are comfortable working across functions to align on priorities and to explain ...

workflows. Multi-tenant SaaS architecture experience, CDC/event-driven ingestion (Debezium, Kafka, RabbitMQ/MassTransit), or lakehouse exposure (Microsoft Fabric). Azure services, Docker, Kubernetes/Helm. Experience with legal, security, or compliance frameworks for AI-authored code. Familiarity with compensation, HR, or pay transparency domains. Why join ...

cloud platform, with AWS certifications preferred. Knowledge of legacy and modern technology stacks. Hands-on experience with event-driven architectures, microservices, and containerisation (Docker, Kubernetes). Experience integrating Azure and AWS native applications with COTS solutions. Experience leading solution development in pre-sales, including proposal writing and client presentations. Desirable ...

Computer Science, Engineering, or a related field (or equivalent practical experience). Bonus Points (not required): Experience with Amazon Web Services (AWS), Docker, and Terraform. Experience with OLAP databases (e.g., ClickHouse) or building observability tools for monitoring and tracing. Previous experience in the Autonomous Vehicle (AV), Robotics, or IoT industries. ...

workflows. Multi-tenant SaaS architecture experience, CDC/event-driven ingestion (Debezium, Kafka, RabbitMQ/MassTransit), or lakehouse exposure (Microsoft Fabric). Azure services, Docker, Kubernetes/Helm. Experience with legal, security, or compliance frameworks for AI-authored code. Familiarity with compensation, HR, or pay transparency domains. Why join ...

product managers, and a track record of getting your requirements into products you don't own Command of application security, and experience developing in Docker and containerised environments on Linux Travel Requirements: General willingness to travel for company business between our offices, as well as to customer sites Security Requirements ...

with open source robotic planning and manipulation software packages such as MoveIt and ROS. Knowledge of unit-testing, CI/CD pipelines, and containerization (Docker, Kubernetes). Excellent communication and collaboration skills. Ability to work effectively with cross-functional teams, including product managers & owners, engineers, and internal customers Preferred Qualifications ...

with open source robotic planning and manipulation software packages such as MoveIt and ROS. Knowledge of unit-testing, CI/CD pipelines, and containerization (Docker, Kubernetes). Excellent communication and collaboration skills. Ability to work effectively with cross-functional teams, including product managers & owners, engineers, and internal customers Preferred Qualifications ...

fast-track outcomes. Expert level knowledge within our chosen tech-stack: Node.JS React GraphQL/REST/Protobuf/HTTPs RabbitMQ Github Actions/Docker/Kubernetes S3/Postgres/Redis Otel/Datadog Expertise with DevOps principles (CI/CD, Flow optimization, collaboration, ownership, ect.) Expertise in systems ...

automated documentation and API definitions. PostgreSQL at the heart of most services. AWS for cloud hosted services, with heavy use of AWS Lambda serverless. Docker on AWS ECS for uniform development and deployment. Internal developer platform with a standardised paved road from code to production, plus managed preview environments ...

Experience working in a regulated environment (e.g., Medical Devices, HealthTech) or dealing with clinical data. Knowledge of cloud platforms (AWS/GCP) and containerization (Docker). Experience with Large Language Models (LLMs) and Generative AI techniques and their applications in healthcare or data synthesis. Ability to leverage AI productivity tools ...

with SQL, Python and AWS data stack essential; Experience building efficient, scalable databases and APIs (e.g. Django, FastAPI) a huge plus; Experience in Kubernetes, Docker, Spark and related monitoring tools (e.g. DataDog, Grafana, Prometheus) for DataOps a huge plus; Experience with Airflow a huge plus; Experience with dbt for pipeline ...

/or PX4) Experience integrating with communication busses & protocols: UART/RS232/RS422/RS485, SPI/QSPI, I2C, Ethernet Experience developing in Docker, containerized deployment environments, and using Linux‐based operating systems (e.g., RHEL, Ubuntu) Familiarity with real‐time, edge computing, and safety‐critical systems operating in software ...

data science delivers impact across the business. Product & Tech at Marshmallow Backend and Infrastructure: Latest Java μService, Spring Boot with Spring Cloud, Dynamodb, Terraform, Docker, AWS Fargate, Datadog, Opslevel, and TeamCity. Frontend and Mobile: TypeScript, CSS-in-JS (Styled Components), React, Redux, Redux Hooks, and other modern state management libraries. ...

solutions Desire to be a generalist throughout the product engineering stack Cloud-native system design and architecture knowledge, especially with container-based tools (e.g. Docker, Kubernetes) Technical project management skills in agile, product-focused teams Willingness and flexibility to operate in high-pressure environments where priorities can easily shift ...

across multiple teams or pods. Prior work making "invisible" infrastructure legible to non-technical leadership. Our tech stack Platform & backend: Kotlin, AWS, Postgres, RabbitMQ, Docker, Kubernetes. Gateway & clients: Node GraphQL gateway, React Native/TypeScript mobile app, Relay. Tooling & observability: GitHub, GitHub Actions, Jira, Confluence, Datadog, Sentry, Grafana. Interview process ...

with the technology ecosystem including Silicon, IHV, ISV, ODM/OEMs, cloud service providers and channel Familiarity with cloud native technologies such as Kubernetes, Docker containers & Snaps Familiarity with embedded and connected device technology and ecosystems Familiarity with networking technologies - ethernet, IPv4 and IPv6, routing, firewalling, overlays such ...

engineers to understand their needs and create scalable platforms to be used across the company. Some of the technologies we use include Go, PostgreSQL, Docker, Kafka, Lua, Clickhouse, SaltStack, Prometheus and the usual Unix/Linux tools and workflows. We strive to build reliable, fault-tolerant systems that can operate ...

sensor/time-series data (GPS, accelerometer, IMU) in production. Exposure to insurance, mobile data, or behaviour modelling. Experience with cloud platforms (AWS), containerisation (Docker, Kubernetes), or data orchestration frameworks. Familiarity with our ML and tooling stack: MLflow for experiment tracking, DVC for data versioning, Streamlit for internal apps ...

data preprocessing, feature engineering, and model evaluation are critical for building effective systems. Engineers should understand MLOps practices, RESTful APIs, containerization tools like Docker, and version control systems. Practical experience with deep learning architectures and natural language processing is valuable for specialized roles. What qualifications are needed for Machine Learning ...