Mentor engineers to elevate technical craftsmanship, problem-solving, and design thinking.
Collaborate cross-functionally to ensure technical solutions align with product goals and business outcomes.
Responsible for the systems that ensure accurate, scalable, and efficient accounting across global operations.
Expanding into data analytics and pipeline initiatives using Snowflake, Redis, and Kafka to manage high-volume, real-time data.
Collaborates closely with Product, Operations, and other Engineering teams to deliver business-critical capabilities.
Agile and collaborative environment that values technical depth, quality, and innovation.
Key Responsibilities
8+ years of professional experience in Java and object-oriented design.
Strong knowledge of Spring Boot, REST APIs, and enterprise integration patterns.
Deep expertise in SQL Server, including stored procedures, performance tuning, and data modeling.
Experience with Redis for caching or data persistence.
Hands-on exposure to Kafka or similar publish-subscribe systems for real-time event processing.
Familiarity with Snowflake and data pipeline concepts (ETL, batch vs. streaming).
Experience with Agentic coding and general understanding of how LLMs are working
Strong focus on clean architecture, maintainability, and production readiness.
Excellent communication and leadership skills — able to guide teams and influence design direction.
Nice to Have
Experience with Kubernetes, Docker, or cloud-native environments (AWS/GCP).
Exposure to observability tools (Prometheus, Grafana, Open Telemetry).
Scripting experience in Python for automation or data analysis.
Exposure to Prompt Engineering and Agentic AI
Interest in financial systems, accounting, or investment technology.
Education
B.S./M.S. in Computer Science, Engineering, or related discipline.