Software Engineer
Posted Updated
- We are seeking a software engineer to design and build high-performance, distributed systems that process and analyze massive streams of trading data for regulatory surveillance. This role involves developing scalable data pipelines, implementing complex rules engines, and optimizing relational and Snowflake databases for large-scale workloads
- You will work with technologies such as Java, Python, Snowflake, Kafka, and Linux. You will also use AI tools like Anthropic’s Claude to accelerate your own development work and to design and build agentic workflows that automate engineering, SDLC, and surveillance analyst tasks
- Collaborate with end-users to gather and refine functional requirements for complex, data-driven systems
- Produce detailed project documentation, including architecture diagrams, functional specifications, technical designs, and test plans
- Design, develop, test, and implement scalable data processing pipelines, rules engines, and database solutions leveraging Snowflake and relational databases
- Optimize system performance for large-scale, low-latency workloads handling billions of events daily
- Work closely with infrastructure teams to deploy and maintain applications on Linux-based environments
- Coordinate with cross-functional teams for new application development, troubleshooting, and system enhancements
- Leverage AI tools such as Anthropic’s Claude to drive personal and team productivity gains across coding, testing, and documentation
- Design, build, and maintain agentic workflows that automate repetitive engineering and surveillance tasks, integrating LLMs responsibly into production and internal tooling
- Take ownership of projects as individual contributor, adapting to dynamic requirements
- Research emerging technologies, tools, and design patterns, including advances in AI and agentic systems, to improve scalability, resilience, and performance
- Provide ongoing application support and communicate technical concepts clearly to non-technical stakeholders
- Participate in a 24/7 production on-call rotation to ensure system reliability and uptime
- Participate in recruitment process as and when required for new engineering hires
- The ideal candidate has strong problem-solving skills, deep knowledge of data structures and algorithms, and experience building systems that handle billions of events daily in low-latency environments
- Self-motivated with the ability to work independently and manage multiple projects concurrently
- Solid understanding of data structures, algorithms, and performance optimization techniques
- Ability to design and implement scalable, low-latency systems handling billions of events daily
- Familiarity with streaming and big data technologies such as Apache Kafka a plus
- Excellent written and verbal communication skills for cross-functional collaboration
- Experience using AI coding assistants such as Anthropic’s Claude for productivity and building agentic/LLM-powered workflows
- Strong proficiency in Java and Python for backend development
- Experience in finance, trading, exchange, or related fields is a plus
- Experience with Linux environments and at least one scripting language (e.g., Bash, Shell)
- Bachelor’s Degree in Computer Science or related field
- 2+ years of software engineering experience in high-performance or distributed systems
- Hands-on experience with SQL and Snowflake for large-scale data processing