14 of 14 Kubernetes Jobs in Telford

for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modelling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps More ❯

for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modelling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps More ❯

for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modelling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps More ❯

for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modelling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps More ❯

for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modeling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps More ❯

for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modeling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps More ❯

for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (eg, Jenkins, Git, Docker, Kubernetes). Strong SQL and data modelling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps More ❯

for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modelling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps More ❯

for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL and data modelling skills. Excellent problem-solving, communication, and leadership abilities. Key Qualifications: Proven track record of data projects and teams. Certifications in Agile/Scrum, DevOps More ❯

management and Agile delivery. Hands-on experience with CI/CD (GitLab), automation tools (Playwright, OWASP Zap, Gatling), and monitoring (Grafana, Splunk). Familiarity with cloud (AWS/Azure), Kubernetes, and databases (Oracle RDS, SQL, MongoDB). Technical knowledge of Java 21 and Spring Boot. Deep understanding of all test levels and non-functional testing. What You Bring Strategic, hands More ❯

environments including SAS 9.4, SAS Viya 3.5, and SAS Viya 4. Support the migration of legacy SAS platforms to cloud-native SAS Viya 4 environments, including namespace separation and Kubernetes orchestration. Implement and manage configuration objects, service data, and translation objects within SAS environments. Collaborate with data engineers and DevOps teams to integrate SAS with Oracle, GitLab CI/CD … and user support. SAS Data Integration Studio (DI) - job development and deployment. SAS Studio - job development and deployment. SAS Viya 3.5/Viya 4 - platform configuration, migration, and containerisation (Kubernetes). SAS Visual Analytics (VA) and SAS Visual Investigator (VI) - dashboard and investigation tool support. Oracle - integration and data pipeline support. Configuration Management - experience managing service objects, deployment artefacts, and … environment baselines. Testing Lifecycle Knowledge - including test strategy design, environment comparison utilities, and automated testing integration. Desirable Attributes: Experience with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, Docker). Familiarity with GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines. Knowledge of scheduling tools - Airflow Strong documentation and communication skills. Ability to work collaboratively across multidisciplinary More ❯

environments including SAS 9.4, SAS Viya 3.5, and SAS Viya 4. Support the migration of legacy SAS platforms to cloud-native SAS Viya 4 environments, including namespace separation and Kubernetes orchestration. Implement and manage configuration objects, service data, and translation objects within SAS environments. Collaborate with data engineers and DevOps teams to integrate SAS with Oracle, GitLab CI/CD … and user support. SAS Data Integration Studio (DI) – job development and deployment. SAS Studio – job development and deployment. SAS Viya 3.5/Viya 4 – platform configuration, migration, and containerisation (Kubernetes). SAS Visual Analytics (VA) and SAS Visual Investigator (VI) – dashboard and investigation tool support. Oracle – integration and data pipeline support. Configuration Management – experience managing service objects, deployment artefacts, and … environment baselines. Testing Lifecycle Knowledge – including test strategy design, environment comparison utilities, and automated testing integration. Desirable Attributes: Experience with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, Docker). Familiarity with GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines. Knowledge of scheduling tools - Airflow Strong documentation and communication skills. Ability to work collaboratively across multidisciplinary More ❯

environments including SAS 9.4, SAS Viya 3.5, and SAS Viya 4. Support the migration of legacy SAS platforms to cloud-native SAS Viya 4 environments, including namespace separation and Kubernetes orchestration. Implement and manage configuration objects, service data, and translation objects within SAS environments. Collaborate with data engineers and DevOps teams to integrate SAS with Oracle, GitLab CI/CD … and user support. SAS Data Integration Studio (DI) – job development and deployment. SAS Studio – job development and deployment. SAS Viya 3.5/Viya 4 – platform configuration, migration, and containerisation (Kubernetes). SAS Visual Analytics (VA) and SAS Visual Investigator (VI) – dashboard and investigation tool support. Oracle – integration and data pipeline support. Configuration Management – experience managing service objects, deployment artefacts, and … environment baselines. Testing Lifecycle Knowledge – including test strategy design, environment comparison utilities, and automated testing integration. Desirable Attributes: Experience with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, Docker). Familiarity with GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines. Knowledge of scheduling tools - Airflow Strong documentation and communication skills. Ability to work collaboratively across multidisciplinary More ❯

environments including SAS 9.4, SAS Viya 3.5, and SAS Viya 4. Support the migration of legacy SAS platforms to cloud-native SAS Viya 4 environments, including namespace separation and Kubernetes orchestration. Implement and manage configuration objects, service data, and translation objects within SAS environments. Collaborate with data engineers and DevOps teams to integrate SAS with Oracle, GitLab CI/CD … and user support. SAS Data Integration Studio (DI) - job development and deployment. SAS Studio - job development and deployment. SAS Viya 3.5/Viya 4 - platform configuration, migration, and containerisation (Kubernetes). SAS Visual Analytics (VA) and SAS Visual Investigator (VI) - dashboard and investigation tool support. Oracle - integration and data pipeline support. Configuration Management - experience managing service objects, deployment artefacts, and … environment baselines. Testing Lifecycle Knowledge - including test strategy design, environment comparison utilities, and automated testing integration. Desirable Attributes: Experience with cloud platforms (AWS, Azure) and container orchestration (Kubernetes, Docker). Familiarity with GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines. Knowledge of scheduling tools - Airflow Strong documentation and communication skills. Ability to work collaboratively across multidisciplinary More ❯