16 of 16 Docker Jobs in Staffordshire

balancing, and observability. Work with message queues (e.g., Kafka, NATS, RabbitMQ). Deploy applications to cloud platforms (AWS, GCP, Azure). Use containerization tools (Docker) and orchestrators (Kubernetes). Implement CI/CD pipelines. Database Management Testing & Quality Assurance System Monitoring & Maintenance Collaboration & Agile Workflow Golang Developer - Required Experience Provable ...

with support for Java and .NET Oracle SQL PL for maintaining existing services Experience with AWS, Azure, SQL Server, Postgres, GitHub, Azure DevOps, Linux, Docker and Kubernetes Understanding of continuous deployment with automated testing and monitoring Test-Driven Development (TDD), writing tests before code Experience within NHS or Healthcare sector ...

Proven experience developing, evaluating and orchestrating agentic workflows MLOps and Distributed Systems: Hands-on experience with distributed systems and MLOps tooling such as Kubernetes, Docker, MLflow, Airflow, Terraform, and CI/CD. Preferred Skills Data Streaming and Orchestration: Familiarity with tools such as Kafka, Flink, Spark, dbt, and Airflow. Multi ...

NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB) You have a strong appreciation of DevOps, CI/CD, GitHub Actions, Jenkins You're familiar with containerisation (Docker), cloud services (AWS), and Infrastructure-as-Code (Terraform) You're comfortable taking ownership of projects, working with the Lead Engineer and mentoring more junior team ...

Science, Engineering or related technology field (or equivalent work experience) required. 3+ years of prior experience as a Software Engineer is required. Experience with Docker and/or Kubernetes is required. Experience working with any cloud-based provider (GCP/AWS/Azure) is highly desirable. Experience with developing highly ...

welcome Work on distributed systems, microservices, and event-driven pipelines handling millions of requests with low latency Deploy and operate services on Kubernetes and Docker, leveraging AWS infrastructure such as EC2, S3, Lambda, and RDS Implement monitoring and observability using tools like Grafana and Prometheus to track system performance Collaborate ...

grasp of backend development, APIs, and distributed systems Proven experience in fast-moving or high-growth startup environments Familiarity with cloud infrastructure and containerisation (Docker/Kubernetes) A problem-solver who thrives on autonomy and ownership What's On Offer Fully remote role (UK/Europe timezone) Competitive salary + ...

technologies: HTML, CSS, JavaScript, React 5+ years working with server-side languages Desired experience working with IDM platforms (Okta, Auth0) Familiarity with container technologies (Docker) and microservices architectures, preferred Demonstrated ability to deliver product features to customers in a production environment Deep understanding of RESTful design principles and experience creating ...

Experience with Kubernetes, hands-on and as part of architecture you've deign and worked with. Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with infrastructure as code (IaC) tools, hand on experience with Terraform preferred. Excellent problem-solving and analytical skills. Excellent communication and interpersonal ...

asynchronous programming. Experience with testing frameworks (Jest, Mocha, Chai, Storybook, React Testing Library) and automated testing methodologies (Cypress). Knowledge of containerization technologies (Docker, Kubernetes) Total Rewards Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs ...

service communication (gRPC, Kafka) and caching (Redis). Experience with AWS cloud services (S3, RDS) and deployment practices. Familiarity with containerization and orchestration (Docker, Kubernetes, Helm). Strong understanding of service health, monitoring, and incident response practices. Experience writing technical design documents and influencing adoption across teams. Abnormal ...

stability and predictable latency over theoretical perfection. Technical stack: Language & approach: Scala, Cats Effect 3, FS2 Architecture: Microservices, Event Sourcing, Reactive approach Infrastructure: Docker, Kubernetes, Microservices, Google Cloud Platform, ArgoCD, PostgreSQL, Nats Technical challenges we face: Lots of data - processing millions of transactions and market pairs data points daily Technical ...

performance and reliability. Collaborate with engineering teams to integrate new services and ensure seamless deployment pipelines. The ideal candidate: Proven experience with Kubernetes, Docker, and cloud-native technologies. Strong programming skills in Go, Python, or a similar language. Experience with CI/CD pipelines, GitOps, and infrastructure-as-code principles. ...

communication with both and gRPC An observability stack that counts on GrafanaLab, Loki, Tempo, Looker, and more Cloud environments - Google Cloud Platform Experience with Docker and/or Kubernetes is a bonus! We believe in a highly collaborative environment where everyone's contributions are valued and trusted. Responsibilities: Delivering technical ...

DevOps, Azure Pipelines, and GitHub Actions; establish standards and patterns for the organization. Containerization and Orchestration: Lead the adoption and management of containerization using Docker and modern container deployment strategies, establishing container best practices and governance. Monitoring, Logging & Observability: Architect and oversee monitoring and logging solutions using Azure Monitor, Application … rolling deployments. Expertise with version control systems (GitHub, GitLab, Azure Repos) and CI/CD tools and practices. Advanced knowledge of containerization and orchestration (Docker, Kubernetes, AKS) with production experience. Expert-level understanding of infrastructure as code (IaC) principles and tools (Terraform, Azure Resource Manager). Strong expertise in cloud ...

Build and deploy scalable ML solutions: Design, train, and deploy machine learning models and workflows with a focus on production-readiness, leveraging tools like Docker Containers, Kubernetes, MLflow, Kafka, and AWS Services. Leverage vector databases and streaming systems: Design and implement solutions with vector databases and Kafka to handle large … models in production environments. Strong proficiency in Python and popular ML Frameworks such as PyTorch, LangChain, Agents. Experience with AWS Cloud, Kubernetes, ArgoCD, Docker, Terraform, Jenkins and strong understanding of CI/CD pipelines for ML and model deployment best practices. Experience with monitoring ML models using Datadog and/ ...