Python Developer Times Fastest Growing Fintech

Python Developer Times Fastest Growing FintechQuant Capital is urgently looking for a Python developer to join our high profile client in their main development team.Our client is well known tech driven trading firm, they provide software to the market and also prop trade.The most important part of their product will be the enterprise-grade technology platform written in Python and Twisted with a Django frontend.As an Experienced Python Developer, you’ll be responsible for implementing new features for the system, diagnosing issues, and fixing bugs.

All potential candidates should read through the following details of this job with care before making an application.

Many of the projects you’ll work on will be oriented to provide services for customers, and you’ll be engaged in studying and improving how our customers interact with the system.Backend engineers mostly work with Python on an increasingly more service-oriented architecture.

The rest of the tech stack include Django Erlang REST Framework, PostgreSQL, PostGIS, AWS, ES6, React.js, Alt.js, Node.js, Express, Amazon Redshift, Kubernetes, Docker, Redis, Celery, Pandas, Numpy, Scrapy, Git with Zenhub, Jenkins, Elasticsearch, Logstash and lots of raw SQL for analytics.Python Developers Must Ideally Have: Computer Science or Engineering degree.

Previous commercial experience of programming in an object-oriented, functional, or dynamic language.

Experience of developing in Python A working knowledge of relational databases and SQL, Experience developing with Linux, including the use of shell utilities such as grep, sed, find An understanding of concurrency problems and solutionsYou will be joining a progressive and exciting company committed to excellence.

They offer an excellent working environment with ongoing training and a structured career path. xbpsjku

You can also expect an excellent salary and benefits package, flex working.

Including Options from day 1.My client is based in West LondonDjango, Python, Twisted, noSQL, Data Science