Lead and mentor software engineers to design, build, and maintain low-latency high-frequency trading systems. Collaborate with quants and traders to translate requirements, manage the SDLC, enforce high code quality and performance, drive optimization and scalability, and foster innovation while staying current on markets and regulations.
Engineering Manager
Technology
We are seeking a highly skilled and experienced Engineering Manager to join our team and lead our talented group of software engineers in the development and maintenance of our high-performance trading systems. The ideal candidate will have a strong background in software engineering, preferably in the trading/ crypto industry, along with proven leadership abilities.
Key Responsibilities
- Lead and mentor a team of software engineers in the design, development, and implementation of high-frequency trading systems and algorithms.
- Collaborate closely with quantitative researchers, traders, and other stakeholders to understand business requirements and translate them into technical solutions.
- Manage the full software development lifecycle, from requirements gathering and design to implementation, testing, and deployment.
- Ensure that all code produced by the team meets the highest standards of quality, reliability, and performance.
- Drive continuous improvement initiatives to optimise trading strategies and enhance system efficiency and scalability.
- Stay abreast of the latest developments in financial markets, trading technologies, and regulatory requirements, and incorporate relevant advancements into our systems and processes.
- Foster a culture of innovation, collaboration, and excellence within the engineering team.
Qualifications and Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 7+ years of experience in software engineering, with at least 3 years in a leadership or management role.
- Strong proficiency in programming languages such as Golang/ React Js/ React Native, with a focus on high-performance, low-latency systems.
- In-depth knowledge of financial markets, trading concepts, and electronic trading platforms.
- Experience with real-time data processing, messaging protocols, and high-frequency trading infrastructure (e.g., FIX protocol, market data feeds, order execution).
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Proven track record of delivering complex software projects on time and within budget.
- Experience with agile development methodologies and tools such as JIRA or
- Agile Central is preferred.
- Familiarity with cloud computing platforms (e.g., AWS, Azure) and containerisation technologies (e.g., Docker, Kubernetes) is a plus.
iRage leverages its strengths in technology and quantitative finance to design cutting edge high frequency trading systems and strategies.
Introduction of DMA in the Indian markets in 2008 opened a multitude of possibilities within the domain of algorithmic trading in India. iRageCapital was formed by quantitative trading professionals in 2009 to explore possibilities within this domain.
At iRage, you will get to solve some extremely challenging engineering problems and shape the future of this lucrative industry while working alongside other exceptional programmers, quants and traders
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