QA Automation Lead

Project Description:

Our client is a leading global Financial markets data provider runs a number of change programs to deliver of high-quality software that connects Financial Markets across the globe in a real-time, high frequency and low-latency data management chain.

The system is a big data based solution that used for preparing regulatory reporting.

Responsibilities:

• Lead the team of 2-4 QA automation engineers.
• Review requirements, specifications and technical design documents to provide timely and meaningful feedback.
• Create detailed, comprehensive and well-structured test plans and test cases.
• Estimate, prioritize, plan and coordinate testing activities.
• Design, develop and execute automation scripts.
• Identify, record, document thoroughly and track bugs.
• Develop and apply testing processes for new and existing products to meet customer needs.
• Liaise with internal teams (e.g. developers and product managers) to identify system requirements.
• Monitor debugging process results.
• Track quality assurance metrics, like defect densities and open defect counts.
• Stay up-to-date with new testing tools and test strategies.

Mandatory Skills:

• Team lead experience.
• Proven relevant commercial experience in system test automation - Strong.
• Extensive technical experience expertise in C# - Strong.
• Selenium - Strong.
• Cucumber - Medium.
• Gherkin - Medium.
• Specflow - Medium.
• Hive interfaces - Medium.
• MS SQL - Strong.
• Experience with version control systems such as Git - Strong.
• Experience with SDLC methodologies - Strong.
• Experience with Linux and Windows Operating Systems.

Nice-to-Have Skills:

Scala Be able to read code.

Financial domain knowledge - Low/Medium.

Experience with distributed system - Low/Medium.

• Very good communication skills - both verbal and written.
• Experience working in R&D / Agile environments and with distributed teams.
• Fluent English.
• Ability and will to make decisions and prove and defend them.
• Ability to document and communicate concepts at multiple levels.
• Good analytical skills and readiness to perform alternatives analysis and to find the best possible option.
• Quick learner, willingness to learn new technologies and to do research on your own.
• Strong team player - ability to work in distributed teams, contribute to collaborative team success, treat team / product success as personal goal.
• Result-oriented mindset.