Backend Engineer - C++

Backend Engineer - C++

EQ Real-Time PL & Risk is a front office team responsible for the design, development and support of various technology platforms that enable our businesses to view, evaluate, hedge and trade the live position, pl and risk. We build and own the platforms that provide the entire firm with T0 unofficial and live risk and pl.

Responsibilities include:

• Work with the R&D and application development teams to assist in design, prototype and implementation of next generation high-performance real time analytics solutions in the industry to scale with the business
• Assist the team in building out a market leading portfolio PL and Risk platform for latency critical processes with high visibility among trading teams as well as management teams.
• Work with different technologies to provide the state-of-the-art intraday analytics platforms used in various risk and portfolio management systems across the entire firm
• Contribute to application development and architecture of highly scalable real time platforms 

Qualifications, Skills and Requirements

• 4+ years of experience in C++ application development on Linux along with good understanding of the Linux operating system.
• Experience writing and maintaining multi-threaded, multi-process and low-latency C++ along with profiling and optimizing platforms/jobs. Can write clean code with tests.
• Basic understanding of Computer Networking
• Experience with event driven architecture using message bus and caching technologies like Solace, Kafka, Pulsar, Memcached, Redis etc.
• Experience working with various monitoring tools like Datadog, ELK stack etc.
• Familiarity with Database technologies – Advanced SQL, NoSQL, Time-series databases (KDB)
• Excellent grasp of data structures and algorithms and the ability to learn and adopt new technologies quickly
• A strong interest in financial markets and a desire to work directly with investment professionals
• Good team player with a strong willingness to participate and help others
• Drive to learn and experiment

Nice-to-have

• Experience building large-scale real-time portfolio risk and pl engines

• Experience re-building platforms to scale horizontally with the business
• Experience with KDB+ q or interfacing C/C++ with KDB
• Experience building Python bindings for C++ libraries