Translate complex or ambiguous requirements into clean, maintainable, scalable, and well documented code.
Design, develop, and maintain software applications and systems that provide value to end-users.
Implement AI-powered capabilities in collaboration with product and principal engineers.
Implement and optimize algorithms, data usage, and cloud services for latency, availability, and cost.
Debug and troubleshoot software issues to ensure business continuity, and a high bar for end-user experience.
Raise the engineering bar via rigorous code and design reviews that enforce maintainability, security, performance, and AI safety
Write unit & integration tests, implement observability, and comply with best practices for builds and deployment to ensure the quality and reliability of our platform.
Provide live on-call support by participating in the team on-call rotation and owning production issues from root cause analysis to resolution to future prevention.
Partner with cross-functional teams (engineering, product, design, security, compliance etc.) to bring ideas to life
Mentor junior engineers; contribute to team knowledge sharing and AI upskilling.

At a minimum, a Bachelor's in CS or equivalent experience.
5+ years of relevant professional experience or a combination of work experience and advanced education.
Proven experience shipping AI-enabled features in production: model-driven decisions, anomaly detection, forecasting/optimization, or LLM-powered experiences—plus MLOps practices
Proficiency in at least one modern development framework / language (e.g., Java).
Excellent communication and cross-functional collaboration skills to thrive in a fast-paced environment.
Experience leading projects from architectural design to production, while setting and maintaining high standards of technical excellence across your team.
Expertise in at least one area relevant to our cloud-based financial platform (e.g., fintech, distributed systems, databases, security, or front-end).
Security, privacy, and compliance acumen for financial data (encryption, least-privilege, secrets management, auditability) and AI safety
Experience with version control systems (Git), and DevOps practices like continuous integration and continuous delivery (CI/CD).
Leadership and communication. Track record leading projects from architecture to production, influencing cross-functional stakeholders, and mentoring engineers to raise the bar.

Lead Software Engineer

Key skills