11 of 11 Docker Jobs in Luton

or more of Java, JavaScript, Python, Scala, C++/C#/.Net and React or Angular Containerized software applications, platforms, and tools including Kubernetes, Docker Good understanding of software development best practices, devops, CI/CD Experience working in an agile/scrum environment People Skills: Experience working in a More ❯

Power Apps, Power Automate, Power BI) Desirable/Environment Tools: Java, Spring Boot JavaScript/TypeScript, React SQL Server, PostgreSQL, MongoDB Kafka, ActiveMQ, ElasticSearch Docker, REST, API Gateways AWS, Jenkins, Ansible WSO2 We're open to those transitioning from full-stack or backend development backgrounds into Power Platform roles. ?? What More ❯

Engineering Manager - Onsite London - Python , AWS, CI/CD, Testing, Terraform, Docker, MongoDB, PostgreSQL You will be working for an exciting EdTech startp of which, has an ambition to revolutionise education by harnessing ML powered tutoring. They are looking for someone that has real passion for what they do and More ❯

to travel to events, tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What More ❯

.NET Developer to join the team. This position can be fully remote. The company works with a modern technical stack of C#, .NET 6, Docker, Elastic Search, RabbitMQ, Microservices, Docker, Kubernetes and more. Their offices are based near Luton and are a social team that do hold meet ups, but … Core C#, MVC & RESTful Web Services HTML5 & CSS3 TSQL, Entity Framework & LINQ Git version control Event Bus/Container Experience Advantageous RabbitMQ (with MassTransit) Docker + Compose & Kubernetes Redis, NoSQL & other data store technologies Microservice Architectures Hangfire/CRON Elastic Stack (ELK) Machine Learning & Large Language Models The role is More ❯

.NET Developer to join the team. This position can be fully remote. The company works with a modern technical stack of C#, .NET 6, Docker, Elastic Search, RabbitMQ, Microservices, Docker, Kubernetes and more. Their offices are based near Luton and are a social team that do hold meet ups, but … Core C#, MVC & RESTful Web Services HTML5 & CSS3 TSQL, Entity Framework & LINQ Git version control Event Bus/Container Experience Advantageous RabbitMQ (with MassTransit) Docker + Compose & Kubernetes Redis, NoSQL & other data store technologies Microservice Architectures Hangfire/CRON Elastic Stack (ELK) Machine Learning & Large Language Models The role is More ❯

engineering lifecycle, including design, development, and implementation. Reporting into an Engineering Manager, the Senior Backend Engineer will also leverage modern technologies like AWS, Kubernetes, Docker, and Kafka, whilst also architecting and implementing microservices-based solutions in collaboration with cross-functional teams. In addition, the Senior Backend Engineer will also be … professional experience in software development, with a strong focus on backend systems Proficiency in Go/Golang and proven expertise in AWS, Kubernetes, and Docker Experience with end-to-end software engineering, including system design and architecture Hands-on experience working on complex, data-intensive applications A product-focused mindset More ❯

model lifecycle management, covering training, deployment, monitoring, and retraining to adapt to new data. Optimises deployment pipelines for scalability and efficiency using cloud platforms, Docker, Kubernetes, and workflow orchestration tools. Implements best practices for production model monitoring, logging, and alerting to ensure the reliability of deployed machine learning systems. They … and establishing feedback loops to enhance usability and dashboard accuracy. Familiarity with cloud platforms, containerisation technologies, and workflow orchestration tools such as Kubernetes and Docker for deploying scalable machine learning systems. What you’ll get in return Competitive base salary Up to 30% bonus 25 days holiday BAYE, SAYE & Performance More ❯

model lifecycle management, covering training, deployment, monitoring, and retraining to adapt to new data. Optimises deployment pipelines for scalability and efficiency using cloud platforms, Docker, Kubernetes, and workflow orchestration tools. Implements best practices for production model monitoring, logging, and alerting to ensure the reliability of deployed machine learning systems. They … and establishing feedback loops to enhance usability and dashboard accuracy. Familiarity with cloud platforms, containerisation technologies, and workflow orchestration tools such as Kubernetes and Docker for deploying scalable machine learning systems. What you’ll get in return Competitive base salary Up to 30% bonus 25 days holiday BAYE, SAYE & Performance More ❯

model lifecycle management, covering training, deployment, monitoring, and retraining to adapt to new data. Optimises deployment pipelines for scalability and efficiency using cloud platforms, Docker, Kubernetes, and workflow orchestration tools. Implements best practices for production model monitoring, logging, and alerting to ensure the reliability of deployed machine learning systems. They … and establishing feedback loops to enhance usability and dashboard accuracy. Familiarity with cloud platforms, containerisation technologies, and workflow orchestration tools such as Kubernetes and Docker for deploying scalable machine learning systems. What you’ll get in return Competitive base salary Up to 30% bonus 25 days holiday BAYE, SAYE & Performance More ❯

model lifecycle management, covering training, deployment, monitoring, and retraining to adapt to new data. Optimises deployment pipelines for scalability and efficiency using cloud platforms, Docker, Kubernetes, and workflow orchestration tools. Implements best practices for production model monitoring, logging, and alerting to ensure the reliability of deployed machine learning systems. They … and establishing feedback loops to enhance usability and dashboard accuracy. Familiarity with cloud platforms, containerisation technologies, and workflow orchestration tools such as Kubernetes and Docker for deploying scalable machine learning systems. What you’ll get in return Competitive base salary Up to 30% bonus 25 days holiday BAYE, SAYE & Performance More ❯