What You’ll Do
Design and implement test automation frameworks for microservices-based platform components
Build and maintain reusable test libraries and utilities for the L-CAP test infrastructure.
Integrate automated tests into CI/CD pipelines, ensuring continuous quality gates.
Conduct performance testing to validate system behaviour under load and stress conditions
Execute integration testing across platform services, APIs, and external system interfaces.
Develop test plans and strategies aligned with sprint and PI objectives
Analyze defect patterns and test metrics to identify quality trends and improvement opportunities
Collaborate with development and systems engineering teams on testability and quality requirements
Support test environment configuration and test data management activities
Mentor junior test engineers on automation practices and testing methodologies
Design and execute test scenarios based on operational ATC workflows, ensuring modernised services replicate legacy system behaviour
Develop distributed service validation frameworks verifying inter-service communication, data flow, and performance under operational conditions
Implement data-driven verification approaches supporting modernisation of legacy automation functions
Embrace an AI-first engineering culture by actively adopting AI-assisted development tools, automation, and modern engineering practices that improve productivity, code quality, and delivery velocity.
Core Technical Qualifications:
· Bachelor’s degree in Computer Science, Software Engineering, or related discipline with 3+ years of experience, or Master’s degree with 2+ years (additional experience, education and training may be considered instead of a degree)
· Experience with test automation frameworks (Selenium, JUnit, pytest, or equivalent) and Java or JavaScript test development
· Experience integrating automated testing into CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or similar tools
· Experience with performance, integration, and API testing for distributed systems using tools such as JMeter or Gatling
· Knowledge of distributed service testing, including service virtualisation, contract testing, chaos engineering, and data-driven test automation
· Experience with operational scenario-based testing, behavioral validation, root cause analysis, and defect investigation
· Familiarity with Agile/SAFe testing, quality engineering principles, test management, and defect tracking tools
Preferred / Desired Qualifications:
· Python scripting and test development proficiency
· Experience testing microservices and event-driven architectures
· Knowledge of containerised test environments (Docker, Kubernetes)
· Experience with API testing frameworks (REST Assured, Postman/Newman)
· Familiarity with security testing tools and practices
· Experience in aviation, defence, or safety-critical testing domains
· Knowledge of test-driven development (TDD) and behavior-driven development (BDD)
· Experience with AI-assisted development tools (e.g., code generation, automated testing, intelligent debugging)
Experience testing legacy-to-modern migration verifying functional equivalence between old and new systems
