SC Cleared Lead Automation Engineer
- london, england, United Kingdom
- Permanent·On-site
- Full time
- £90 - £120 Per Hour
Job Description
SC Cleared Lead Automation Engineer - Hybrid - Inside IR35
In an hands on capacity, you will conduct and lead automation testing activities to ensure systems meet the highest standards of quality and reliability, engaging in collaborative efforts with diverse teams to assess testing requirements and devise well-structured Automation Test Plans.
We are looking for an Automation Engineer with a proven background, demonstrating a history of successfully implementing test automation frameworks.
Within this role you will be responsible for Functional, System, System Integration, End to End, and Security testing of various critical applications using test automation tools/frameworks such as Karate.
- Leading a small team of test automation engineers.
- Providing innovation and technical leadership.
- Designing, implementing, and maintaining test automation scenarios to pinpoint areas of improvement and identify bottlenecks.
- Analysing test results, identifying issues, and providing recommendations for optimization.
- Additional responsibilities of the role include designing/running performance tests using tools such as J-meter, LoadRunner that are part of an existing maintenance test pack.
- Play a key role in continuously improving, refactoring as well as work closely with Senior colleagues & product teams to ensure timely bug fixes.
- Working with the leadership team and actively participating in the recruitment process.
- Contributing to the Performance Test Strategy and defining process improvements.
Skills / Experience / Competencies:
You will be able to demonstrate - 8-10 years of hands on test automation experience using using leading automation tools.
Proficiency in using testing tools such as Eggplant Functional, API testing tools like SOAP UI, Postman.
Experience writing System, API, security, and UI test scripts.
Solid understanding of testing methodologies, tools, and techniques.
Knowledge of middleware systems/message queuing systems like Kafka, IBM MQ and ACE.
- Familiarity with scripting languages (e.g., Python, JavaScript) and application monitoring tools like Control M.