Luxoft is a global leader in high-end software development.
Luxoft is looking for talents with a passion for technology & ready to create original solutions. Once on board, you are invited to expand your knowledge & skills, offering you a continuous learning experience helping you stretch your potential.
So if you’re enthusiastic by the idea of accessing cutting edge technology & innovation to make an impact, why don't you join us?
- Establish QA process for a development team of 80+ FTE
- Establish transparent reporting for the client and Luxoft management team
- Introduce QA metrics
- Ensure proper profile and sufficient resourcing of the QA team
- Overall ownership of the QA plan on the release level
- Communication with the platform integration testing team
- Introduce continuous improvements to the process, including proposals for automation
- Review and optimization of JIRA workflows
- 3+ years of experience in manual and/or automation testing
- 1+ years of experience in hands-on QA management of enterprise level systems
- Hands-on experience of QA processes setup for teams of 30+ people
- Experience of introducing testing automation to projects
- Strong knowledge of testing approaches and methodologies
- Strong understanding of Agile and Waterfall SDLC
- Advanced English and strong communication skills
- Degree in Computer Science
- People management experience would be a big plus
- Knowledge/experience in the financial domain is a plus
- Knowledge of any programming/scripting language as a plus
Our customer is a large world-wide investment bank.
The project is one of the biggest with this customer and has very high visibility in Luxoft portfolio.
The contract is a fixed-price managed services, assuming full delivery responsibility with reasonable flexibility in team structure.
Combined size of development team is over 100 people.
Project is about development and support of the risk management platform used for calculating bank's counterparty risk exposure and allowing this to be hedged.
The system consumes trades and market data from systems all over the bank and all asset classes, then runs a series of complex risk calculations across the entire trade portfolio and provides feeds to downstream systems of the results.
The system needs every trade in the bank before it can run any calculations, and some of these trades are extremely complex products.
The system's purpose is to provide risk reports to groups across the bank as well as external regulators.
It is not strictly an end-user application but has circa 100 users consuming its results and working with its UI components.
The system must deal with large volumes of incoming data in different formats, with a combination of real-time and daily input feeds. Calculations are extremely large scale and are distributed across a compute grid of few thousand CPUs.
