1 to 25 of 35 Docker Jobs in Northern Ireland

Familiarity with front‐end technologies (e.g. React, JavaScript/TypeScript) in addition to back‐end development.* Experience with microservices, containerisation, and orchestration tools (e.g. Docker, Kubernetes).* Understanding of scaled Agile frameworks (e.g. SAFe) and working within multi‐team delivery programmes.* Knowledge of additional programming languages (e.g. Python, JavaScript ...

Product)Cloud & InfrastructureDesign and support solutions deployed on cloud platforms such as:AWS, and AzureWork with modern containerisation and orchestration tools:Docker, KubernetesManage infrastructure as code (e.g., Terraform, ARM, CloudFormation)Ensure security, scalability, and resilience of cloud-based systemsFront-End DevelopmentDevelop or support UI components using modern JavaScript frameworks (e.g. ...

exposure to CI/CD pipelines using Azure DevOps/GitHub Actions, with experience in automated builds, testing, and cloud deployments.Familiarity with containerization (Docker, Kubernetes) and infrastructure-as-code concepts (ARM, Bicep, Terraform – if applicable).Experienced in using SonarQube and Application Insights for code quality, monitoring, and observability.Adept at preparing ...

automation using tools like Jenkins, GitLab CI, Cloud Build, or similar.Proficiency in scripting languages (e.g., Python, Bash, Go).Experience with containerisation and orchestration (Docker, Kubernetes, GKE).Solid understanding of networking, security, and identity management in cloud environments, including GCP-specific best practices.Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus ...

automation using tools like Jenkins, GitLab CI, Cloud Build, or similar.Proficiency in scripting languages (e.g., Python, Bash, Go).Experience with containerisation and orchestration (Docker, Kubernetes, GKE).Solid understanding of networking, security, and identity management in cloud environments, including GCP-specific best practices.Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus ...

threat assessment throughout the development process.Deep understanding of OOP principles (SOLID), design patterns, and secure coding practices.Experience deploying and managing applications using containerisation technologies (Docker, Kubernetes).Experience using and defining version control strategies for the team (e.g., Git).Understanding system performance monitoring, performance issue diagnosis, and implementing solutions.Experience using ...

threat assessment throughout the development process.Deep understanding of OOP principles (SOLID), design patterns, and secure coding practices.Experience deploying and managing applications using containerisation technologies (Docker, Kubernetes).Experience using and defining version control strategies for the team (e.g., Git).Understanding system performance monitoring, performance issue diagnosis, and implementing solutions.Experience using ...

Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. Working knowledge of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions ...

Cloud Interconnect/VPN, load balancing (GLB, ILB), Cloud DNS, firewall policies, and multi‐region network design Experience with containerization and image management using Docker; familiarity with container security best practices CI/CD pipeline experience (Jenkins, GitHub Actions, ArgoCD, or equivalent); GitOps workflow experience a strong plus Experience with ...

Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. Working knowledge of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Skills in data engineering, including building data pipelines, data wrangling, and integrating AI solutions ...

Azure, or GCP); exposure to cloud-native AI tools (e.g., SageMaker, Vertex AI, Azure ML Studio) is a plus. Awareness of containerisation technologies (e.g., Docker); exposure to orchestration tools (e.g., Kubernetes) is beneficial but not essential. Emerging data engineering skills, such as working with data pipelines or data wrangling, gained ...

such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency in using containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) to build and manage scalable AI solutions. Strong skills in data engineering, including building data pipelines, data wrangling, and integrating ...

RESTful APIs* A minimum of 3 years hands on expertise in architecting and delivering large scale distributed systems, such as cloud native microservices on Docker/Kubernetes, deployed on modern cloud platforms (AWS, Azure, or equivalent), ensuring scalability, high availability, and performance* Demonstrated success as a high impact technical advisor ...

machine learning, predictive modelling, or optimisation.Familiarity with data orchestration tools (e.g., Airflow, dbt, Prefect, Cloud Composer).Experience with containerisation or infrastructure-as-code (e.g., Docker, Kubernetes, Terraform).Knowledge of data warehousing concepts and technologies.Experience contributing to proposals, scoping documents, or client development activities.Understanding of data privacy regulations (e.g., GDPR ...

DevOps engineering role Experience designing AWS multi-region, highly available architectures Strong Kubernetes experience, particularly with AWS ECS Strong experience working with AWS ECS docker migrations Experience implementing and managing Datadog observability Strong AWS knowledge across compute, database and security services Experience with Infrastructure as Code using Terraform Solid understanding ...

Transformers) to deliver scalable solutions for tasks such as conversational AI, document summarisation, or content creation. Proven experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes), including their use in designing scalable, cloud-native AI/ML systems. Proficiency in data engineering, including data wrangling, cleansing, and creating pipelines that ...

/CD pipelines and MLOps practices, including automated testing, model versioning, and monitoring workflows. Hands-on experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes) to support AI/ML model deployment. Proficiency in cleansing, filtering, and integrating data from diverse sources, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL ...

awareness of non-functional requirements such as latency, resiliency, throughput, and failover handling.Experience developing cloud-native applications with a microservices architecture running on Docker/OpenShift/Kubernetes.Solid application development skills in Java, SQL (SQL Server, Oracle, etc.) and messaging platforms such as Kafka and MQ.Experience with the Spring framework ...

Site Reliability Engineers and cross‐functional teams to diagnose/troubleshoot any production performance related issues. Use Java, Golang, and Python. Build systems on Docker, Kubernetes, MongoDB, ELK, TimescaleDB, GCP Stackdriver, GCS, Cloud Composer, and AI Platform. About You Desire to build products that solve complex technical problems ...

data modeling. Excellent problem-solving skills and attention to detail. Strong communication and leadership skills. Good experience with DevOps practices and tools such as Docker, Kubernetes, Jenkins, etc. Additional InformationAt Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth ...

preferred). Knowledge of cloud provisioning platforms (Terraform preferred). Exposure to configuration management tools (Chef preferred). Experience with containerization/clustering technologies (Docker preferred). Familiarity with observability and alerting tools (Prometheus/Grafana or ELK/EFK). Practical experience with CI/CD pipelines and rollout ...

driven systems and microservice development - we use Azure Service Bus, and welcome experience with similar messaging technologies such as Kafka or RabbitMQ Infrastructure: Kubernetes, Docker Observability: Prometheus, Grafana Engineering culture: DevOps, infrastructure as code, automated testing across all environments including production, continuous delivery Our Engineering Approach Full ownership: Teams ...

writing maintainable automated tests.Hands-‐on experience with build tools such as Gradle or Maven to manage dependencies and automate project builds.Containerisation experience with Docker, including building and running containerised Java applications.Strong understanding of Git for version control, branching strategies, and collaborative development workflows.Experience working with databases, preferably MongoDB and MySQL.Experience ...

Academic, internship, or personal projects delivering data science outputs. Basic familiarity with CI/CD pipelines or MLOps concepts. Exposure to containerisation technologies (e.g., Docker). Some experience working with relational or NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with Workday data structures, APIs, or reporting tools is an advantage. ...

frameworks such as PyTorch and/or TensorFlow, including embeddings and model fine‐tuning where appropriateExperience deploying and operating production Gen AI systems, leveraging Docker, cloud‐native architecture, production APIs, and monitoring/observability tools, with an emphasis on reliability and scalabilityStrong hands‐on software engineering skills, including Python, FastAPI ...