Senior .Net Developer
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?
Senior .Net Developer
Miejsce pracy: Wroclaw
Nr Ref.: VR-21785
Responsibilites
- Writes high quality Object-Oriented and computationally efficient code
- Performs meticulous and valuable code reviews for the other team peers
- Is able to prepare a technical design for the bigger functionality / project and break it down into manageable tasks
Requirements
Must-have skills:
- Proficiency in .Net (4.5)
- The sense of craftsmanship and attention to details (always performs end-to-end, integration, unit and performance tests, is responsible for her / his code and functionality; always striving to complete the tasks given according to the best industry standards)
- Integrity: is honest and not defensive
- He communicates effectively in English
Nice to have skills:
- Proficiency with the following technologies: WPF, WinForms, ASP.NET WebApi II
- Substantial experience in UX design, working with multi-threaded applications, solution design according to SOLID principles and unit testing (Nunit)
We offer
The primary goal of our team is to provide upstream applications with the highest quality Time Series data. One of the highest-profile projects at the moment is the implementation of financial analysis and review tool.
Primary functions provided by our team:
- Daily sourcing of time-series data from various disparate data sources
- Automated and rule-based cleansing of all time-series data exceptions on a daily basis
- Automation of end user calculations used to derive complex synthetic time series
Changes we’re aiming to introduce to cater for the rapidly increasing amount of data
- Improvements in system monitoring and reporting
- Implementation of clustering
- Hardware scaling
- Performance optimizations in the heaviest and most sophisticated calculations performed