Backend Engineer - C++

Role Overview: You will be a part of the EQ Real-Time PL & Risk front office team, responsible for designing, developing, and supporting technology platforms that facilitate live position, PL, and risk evaluation, hedging, and trading activities. Your primary focus will be on building and managing platforms that offer real-time risk and PL data across the firm. Key Responsibilities: - Collaborate with R & D and application development teams to design, prototype, and implement high-performance real-time analytics solutions that can scale with the business - Assist in developing a market-leading portfolio PL and Risk platform for latency-critical processes, ensuring high visibility among trading and management teams - Utilize various technologies to create cutting-edge intraday analytics platforms for risk and portfolio management systems firm-wide - Contribute to the development and architecture of highly scalable real-time platforms Qualifications Required: - 4+ years of experience in C++ application development on Linux, with a strong understanding of the Linux operating system - Proficiency in writing and maintaining multi-threaded, multi-process, and low-latency C++ code, with experience in profiling and optimizing platforms/jobs - Basic knowledge of Computer Networking - Familiarity with event-driven architecture using message bus and caching technologies such as Solace, Kafka, Pulsar, Memcached, and Redis - Experience working with monitoring tools like Datadog, ELK stack, etc. - Understanding of Database technologies including Advanced SQL, NoSQL, and Time-series databases (KDB) - Strong grasp of data structures, algorithms, and the ability to quickly adapt to new technologies - Interest in financial markets and a willingness to collaborate directly with investment professionals - Team player mindset with a proactive attitude towards participation and assistance - Eagerness to learn and experiment Nice-to-have: - Prior experience in building large-scale real-time portfolio risk and PL engines - Experience in re-building platforms for horizontal scaling with the business growth - Familiarity with KDB+ q or interfacing C/C++ with KDB - Knowledge of building Python bindings for C++ libraries,