We are looking for Founding Software Engineer(Primarily, Backend) for our Core Trading Platform at AlgoTest(S22). We are a dynamic and fast-growing startup that is revolutionising the trading industry by developing an innovative platform specifically designed for retail traders. Our goal is to empower individuals with the tools and knowledge to make informed trading decisions, ultimately levelling the playing field for retail traders in the financial markets. We are seeking a highly skilled and motivated Software Engineer to join our core team and help shape our platform.\ \ # Position Overview:\ As an experienced Software Engineer, you will play a pivotal role in the development and implementation of our trading platform. You will work closely with the founders, and other engineers to build a scalable and user-friendly platform that meets the unique needs of retail traders.\ \ # Responsibilities:\

• Architect and develop the core infrastructure of our platform, ensuring its scalability, reliability, and security.\
• Write clean, maintainable, and efficient code.\
• Collaborate closely with the team to define the technical roadmap and contribute to strategic decision-making processes.\ \ # Requirements:\
• Bachelor's degree in Computer Science, Information Technology, or a related field. Advanced degree is a plus.\
• Proven experience (2+ years) in software development, preferably in a fast-paced environment.\
• Strong proficiency in backend and/or full-stack development, with expertise in web frameworks and technologies.\
• Experience in designing and implementing RESTful APIs and microservices architecture.\
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP, DigitalOcean) and containerization technologies (e.g., Docker, Kubernetes).\
• Solid understanding of database management systems (e.g., MongoDB, PostgreSQL) and proficiency in a SQL and a NoSQL DB.\
• A self-driven and entrepreneurial mindset, with a willingness to take ownership and drive projects to successful completion.\ \ Prior adventures/experience in the trading or financial industry, including knowledge of trading systems, market data, or algorithmic trading would be preferred.