1 to 25 of 28 Docker Jobs in County Antrim

large-scale enterprise projects. Familiarity with cloud environments (AWS, Azure, GCP). Knowledge of performance testing tools (JMeter, Gatling). Understanding of containerisation (Docker/Kubernetes). ...

Experience across the software lifecycle (deployment, monitoring, maintenance). Clear communication skills and a proactive, problem-solving mindset. Technical Skills (Required) Python and TypeScript Docker Linux environments and scripting Modern engineering practices (CI/CD, automated testing, monitoring) Nice to Have Experience with AWS/GCP/Azure Microservices architecture ...

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 ...

/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice integrations supporting AI features. Excellent problem-solving, communication, and cross-team collaboration skills. Proven ...

maintain and enhance current services. Collaborating on infrastructure and DevOps tasks using AWS, Azure, SQL Server, Postgres, GitHub, Azure DevOps, Linux, Docker, and Kubernetes. Supporting continuous deployment pipelines with automated testing and monitoring. Writing software using Test Driven Development (TDD) practices, creating automated tests before coding. Contributing to an open ...

building, improving, and elevating the systems that power the platform every day. In essence, you'll be: Own and improve infrastructure: AKS, Azure, Terraform, Docker, Helm. reliable, secure, scalable. Run CI/CD pipelines: ArgoCD/GitOps workflows, automated testing, blue/green & canary deployments. Drive observability and reliability: monitoring ...

building, improving, and elevating the systems that power the platform every day. In essence, you'll be: Own and improve infrastructure: AKS, Azure, Terraform, Docker, Helm. reliable, secure, scalable. Run CI/CD pipelines: ArgoCD/GitOps workflows, automated testing, blue/green & canary deployments. Drive observability and reliability: monitoring ...

building, improving, and elevating the systems that power the platform every day. In essence, you’ll be: Own and improve infrastructure: AKS, Azure, Terraform, Docker, Helm. reliable, secure, scalable. Run CI/CD pipelines: ArgoCD/GitOps workflows, automated testing, blue/green & canary deployments. Drive observability and reliability: monitoring ...

platforms (e.g., GitHub Actions, GitLab CI, CircleCI). Strong background in SDLC practices and developer productivity tooling. Hands-on experience with infrastructure automation (e.g., Docker, Kubernetes, IaC with Terraform, Ansible or Pulumi). Familiarity with observability & monitoring (Datadog, Prometheus, or similar). Experience managing or improving monorepo build systems. Strong ...

monitoring tooling. Expert in C#, .NET Core, REST APIs, microservices. Strong Azure experience including serverless, integration, and cloud-native patterns. Knowledge of containerisation (Docker, Kubernetes) and messaging systems. ORM and database experience (EF Core, SQL Server, Cosmos DB). Experience with secure coding and OAuth2/JWT authentication. ...

skills • Experience with FastAPI • Microservices/distributed systems experience • Database experience (PostgreSQL, MySQL, MongoDB, etc.) • React experience (commercial or strong hands-on) • Knowledge of Docker/Kubernetes • Exposure to AWS, GCP, or Azure Contract Details: • £400/day – Outside IR35 • 6 months (likely extension) • Remote (UK) • Start ASAP If this ...

deployment, and monitoring workflows. 5. Cloud & Infrastructure Build ML solutions on cloud platforms such as AWS, Azure, or GCP. Use containerization and orchestration tools (Docker, Kubernetes). Optimize compute costs and performance for training and inference workloads. 6. Collaboration & Stakeholder Engagement Work closely with Data Scientists, Product Managers, Software Engineers ...

Behavior-Driven Development (BDD) experience and tooling (e.g., Gherkin, Cucumber, Behave) to express acceptance criteria and drive automated tests Knowledge of performance testing fundamentals Docker and containerized test environments Cloud-based test environments and device/browser farms Experience with test data management and data-driven testing Prior exposure ...

Have (Bonus) Knowledge of BI tools (Power BI/Tableau/Looker/Metabase) Basics of cloud platforms (AWS/GCP/Azure) or Docker Prior exposure to HR analytics or recruitment datasets What You'll Get Practical exposure to solving real-world data problems in HR Tech Experience working ...

systems like Git, including branching strategies, repository management, and integrating with CI/CD pipelines • Containerization and Orchestration: Experience with containerization tools such as Docker and orchestration platforms like Kubernetes or Docker Swarm. Understanding of containerized environments and their integration into CI/CD pipelines • Cloud Platforms: Familiarity with major ...

open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker). Knowledge of predictive modeling and handling unstructured data. Preferred Experience with consumer goods or marketing analytics. Strong communication and stakeholder management skills. ...

similar CI/CD solution Strong expertise in writing, testing, and debugging Ruby scripts Advanced proficiency with bash scripting Experience building and working with Docker containers Solid background managing and supporting Linux environments Experience working with AWS services Nice to have Experience managing and configuring macOS systems Familiarity with macOS ...

TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics, MLOps ...

major cloud environment (AWS is highly preferred) Practical experience with NoSQL databases, specifically DynamoDB. Solid understanding of microservice architecture principles. Familiarity with containerisation (Docker) and CI/CD pipelines. If this is something you are interested in, please send me an up-to-date CV and we can discuss ...

stack capability, with exposure to both web and mobile app environments. Key Skills: Node.js, TypeScript, BFF experience essential React.js & React Native Terraform, K8's, Docker Cloud experience (ideally GCP) Key details: Up to £550 per day, Outside IR35 Initial 3 months (extensions likely) Interviews Friday/Monday January 5th start ...

operating large-scale ML systems in production. Strong experience with GCP Vertex AI (or equivalent cloud ML platforms). Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git. Strong understanding of deep learning, statistical modelling, and optimisation techniques. Nice to Have Experience with agentic design patterns (e.g. ReAct ...

outcomes into production systems. Familiarity with retraining workflows and performance monitoring. Understanding of explainability and fairness techniques. Hands-on experience with containerisation and orchestration (Docker/Kubernetes). Understanding of MLOps practices, CI/CD and model registry processes. Experience mentoring or guiding junior engineers or leading technical initiatives. Nice ...

infrastructure/DevOps) An understanding of the SDLC process. Familiarity with configuration management tools (Ansible, Puppet) Infrastructure as Code (Terraform) Experience of container technologies (Docker or Podman) Container Orchestration (Kubernetes, Docker Swarm) Experience of AWS services (VPC, Security Group, EC2, Route53, IAM, S3, AWS-cli) Familiarity with Continuous Integration Pipelines ...

infrastructure/DevOps) An understanding of the SDLC process. Familiarity with configuration management tools (Ansible, Puppet) Infrastructure as Code (Terraform) Experience of container technologies (Docker or Podman) Container Orchestration (Kubernetes, Docker Swarm) Experience of AWS services (VPC, Security Group, EC2, Route53, IAM, S3, AWS-cli) Familiarity with Continuous Integration Pipelines ...

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 ...