Software Developer in Test (SDET)

Korn Ferry
London, UK
6 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£130,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Automation of Tests Microsoft Azure Cloud Database Cloud Engineering Computer Programming Continuous Delivery Distributed Systems Software Reliability Testing Systems Integration Gitlab
+9 more
Containerization Gitlab-ci Kubernetes Restful APIs Data Pipelines Api Management Docker SDET Databricks

Job description

We’re looking for a Senior Software Developer in Test - Java & Cloud Automation to join our team in London in a hybrid working mode. In this role, you will ensure the quality and reliability of complex data pipelines and APIs through cutting-edge automation practices. You’ll leverage your expertise in Java, testing frameworks, and cloud-native architectures to design and implement scalable test solutions, while collaborating closely with developers to embed TDD/BDD across the life cycle., * Design, develop, and maintain automated test frameworks and tools for end-to-end (F2B) testing

  • Implement API testing for RESTful services to validate functionality, robustness and performance
  • Evaluate and validate data pipelines on Databricks for accuracy and consistency
  • Collaborate with engineering teams to drive TDD/BDD adoption throughout development
  • Contribute to and optimize CI/CD pipelines in GitLab to enable continuous delivery
  • Ensure scalable test solutions within Azure-based cloud architectures

Requirements

  • Strong proficiency in Java programming with a focus on automated testing
  • Solid knowledge of TDD/BDD methodologies and related frameworks
  • Experience in testing RESTful APIs and complex integration workflows
  • Familiarity with data pipelines and F2B testing approaches
  • Hands-on experience with Azure Cloud, Databricks and GitLab CI/CD (highly beneficial)
  • Strong analytical and troubleshooting skills, with a keen eye for quality and detail

Nice to Have

  • Experience testing large-scale, distributed systems
  • Knowledge of containerized environments (Docker/Kubernetes)
  • Familiarity with performance and reliability testing tools

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