1 to 25 of 68 Containerisation Jobs in Bristol

user-centred digital solutions A full stack developer using core Java, CXF, Spring Boot, Jetty, Mustache, HTML, CSS & JavaScript JavaScript library and framework experience is preferable - Node, React, Angular Containerisation experience - Docker or Kubernetes or similar Experience of Microservices design and architecture Restful API Services experience Working within agile methods and using techniques such as Scrum, Kanban and TDD Skilled More ❯

systems like Git. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Skills : Experience with performance testing tools like JMeter or LoadRunner. Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Experience in Agile/Scrum development environments. Why Us? Here at More ❯

working in government, defence, or highly regulated industries with knowledge of relevant standards Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop Familiarity with containerization and orchestration tools such as Docker and Kubernetes Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure Understanding of ML algorithms, their development and More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse More ❯

in using distributed frameworks ( Spark, Flink, Beam, Hadoop ). Proficiency in infrastructure as code (IaC) using Terraform . Experience with CI/CD pipelines and related tools/frameworks. Containerisation: Good knowledge of containers ( Docker, Kubernetes etc). Cloud: Experience with GCP, AWS, or Azure . Good understanding of cloud storage, networking, and resource provisioning. It would be great if More ❯

in one or more programming languages (e.g., Java, Python, C#). Strong understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-native architectures. Experience with APIs, microservices, containerization (Docker, Kubernetes), and modern software development practices. Knowledge of database technologies (SQL, NoSQL) and data management best practices. Familiarity with DevOps practices, CI/CD pipelines, and automation tools. Soft More ❯

CI/CD pipelines and Infrastructure as Code (IaC) using tools like Terraform or Cloud Deployment Manager. Solid understanding of networking principles and their application within GCP. Experience with containerization technologies (Docker, Kubernetes/GKE). Familiarity with data management and analytics services on GCP (e.g., BigQuery, Cloud Dataflow, Cloud Storage). Strong understanding of identity and access management (IAM More ❯

and implement robust security architectures for cloud solutions, ensuring data protection, regulatory compliance, and alignment with industry best practices (e.g., AWS IAM, encryption, VPC, security monitoring, and auditing). • Containerisation & Orchestration: Architect and oversee containerised environments using Kubernetes, ensuring high availability, scalability, and fault tolerance for critical applications. • Event-Driven Systems: Lead a team to architect event-driven systems using … focus on AWS. Additional skills required include: • Extensive experience with cloud security architecture, including knowledge of AWS security best practices (e.g., IAM, network security, encryption). • Deep expertise in containerisation technologies (Docker) and Kubernetes for orchestration in production environments. • Proven experience in designing and implementing event-driven architectures, with strong expertise in queue-based systems including Kafka. • Strong background in More ❯

Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse More ❯

in using distributed frameworks ( Spark, Flink, Beam, Hadoop ). Proficiency in infrastructure as code (IaC) using Terraform . Experience with CI/CD pipelines and related tools/frameworks. Containerisation Good knowledge of containers ( Docker, Kubernetes etc). Cloud Experience with GCP, AWS or Azure . Good understanding of cloud storage, networking and resource provisioning. It would be great if More ❯

structures Experience in using distributed frameworks ( Spark, Flink, Beam, Hadoop ) Proficiency in infrastructure as code (IaC) using Terraform Experience with CI/CD pipelines and related tools/frameworks Containerisation Good knowledge of containers ( Docker, Kubernetes etc) Cloud Experience with GCP, AWS or Azure Good understating of cloud storage, networking and resource provisioning It would be great if you had... More ❯

Excellent written & spoken English skills The following Technical skills & experience are required for Data Devops Engineer: Excellent knowledge of Linux operating system administration and implementation Broad understanding of the containerisation domain adjacent technologies/services, such as: Docker, OpenShift, Kubernetes etc. Infrastructure as Code and CI/CD paradigms and systems such as: Ansible, Terraform, Jenkins, Bamboo, Concourse etc. Monitoring More ❯

grade solutions. Experience with cloud platforms (AWS, GCP or Azure) Hands-on knowledge of API development, automation, and Infrastructure as Code (IaC) tools (e.g., Terraform). Proven experience in containerisation and orchestration (e.g., Kubernetes). Familiarity with building secure systems, adhering to enterprise security and compliance standards. Strong collaboration skills, with the ability to influence and align diverse teams on More ❯

SRE, or cloud operations. Deep expertise in AWS services and hands-on experience with Google Cloud Platform services (Cloud SQL, GKE, Cloud Functions, Cloud Storage, Cloud CDN, etc.). Containerization & Orchestration: Proficiency with Docker and Kubernetes (preferably GKE). Experience managing containerized workloads in production. Infrastructure-as-Code: Strong experience with Terraform. CI/CD and Automation: Proven skills in More ❯

including Bash and PowerShell, as well as the management of cloud-based platforms, such as Azure, AWS and Google Cloud. The Senior Platform Engineer work with infrastructure as code, containerisation, and modern CI/CD practices. They will also work with other members of the team to develop and implement DevOps practices, and mentor more junior team members internally. Initial More ❯

of CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps). Experience with API testing tools (e.g., Postman, RestAssured). Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Excellent problem-solving, communication, and leadership skills. Preferred Qualifications: ISTQB or equivalent certification. Experience with performance testing tools (e.g., JMeter, Gatling). Knowledge of BDD frameworks (e.g. More ❯

CD & Automation: Proven experience with GitLab CI , Terraform , Ansible , Python , PowerShell , and REST API development/integration. Experience creating reusable automation scripts and maintaining configuration management best practices. Platform & Containerisation: Strong understanding of Kubernetes design, configuration, and operations in production environments. Experience managing applications with Helm Charts and supporting microservices-based architecture. Applications & Services: Direct experience deploying and supporting Apache More ❯

in hybrid environments with both classical delivery and DevOps The following Technical skills & experience are required: Excellent knowledge of Linux operating system administration and implementation Broad understanding of the containerisation domain adjacent technologies/services, such as: Docker, OpenShift, Kubernetes etc. Infrastructure as Code and CI/CD paradigms and systems such as: Ansible, Terraform, Jenkins, Bamboo, Concourse etc. Observability More ❯

along with SQL. Databases & Frameworks Strong experience working with Kafka technologies. Operational experience with related systems. Using Terraform Experience with CI/CD pipelines and associated tools/frameworks. Containerisation Good knowledge of container technologies such as Docker and Kubernetes. Cloud Experience with cloud platforms like GCP, AWS, or Azure. Good understanding of cloud storage, networking, and resource management. #J More ❯

tools like GIT/Bit Bucket, TeamCity, Artifactory, jira, Phabricator and Octopus or equivalent Strong knowledge of different development environments (Git, Atlassian tools: JIRA, Confluence, Bitbucket) Good knowledge on containerization using Docker/Kubernetes Experience with configuration management tools Experience with monitoring tools Expertise in designing, analyzing and troubleshooting large-scale distributed systems. Systematic problem solving approach, combined with a More ❯

systems. Strong impartial report writing optimised for the reader. Aptitude for planning, constructing, and executing responsibilities & duties above. English- C1 level. Desirable Domain experience of the products under test: Containerisation (e.g. Docker), Virtualisation and Provisioning, Workload and job scheduling (e.g. Kubernetes, Ray) on high core-count machines and rack-scale installations, Management and Observability (e.g. Prometheus, OpenTelemetry, DataDog, Splunk, etc. More ❯

systems. Strong impartial report writing optimised for the reader. Aptitude for planning, constructing, and executing responsibilities & duties above. English- C1 level. [Desirable] Domain experience of the products under test: Containerisation (e.g. Docker), Virtualisation and Provisioning, Workload and job scheduling (e.g. Kubernetes, Ray) on high core-count machines and rack-scale installations, Management and Observability (e.g. Prometheus, OpenTelemetry, DataDog, Splunk, etc. More ❯

Organization: Proactive, detail-oriented, and highly driven to excel in a dynamic environment. While not mandatory, the following skills are beneficial and may enhance performance in this role: Docker & Containerization: Familiarity with Docker, including image creation, networking, volume management, Docker Compose, and optimizing Dockerfiles for efficient deployment. Web Technologies: Understanding of HTML5, CSS3, and modern JavaScript (ES6+), ensuring effective front More ❯

Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for analytics and reporting. Familiarity with version control, CI/CD pipelines, and containerisation tools (e.g., Git, Jenkins, Docker, Kubernetes). Strong knowledge of relational and non-relational databases. Leadership & Commercial Focus Strong stakeholder management skills, with a focus on building trust and identifying More ❯

modern frontend frameworks (e.g., React or similar) Solid Go (Golang) backend development skills Experience with cloud-native application design (GCP, AWS, or Azure) Strong understanding of CI/CD, containerisation (Docker), and modern DevOps practices Agile development background Nice to Have: Experience working in secure environments or government/aviation sectors Exposure to system tuning tools or similar domain-specific More ❯