What will you do?
Lead a team of engineers in a high-stakes environment. You will serve as the technical authority, foster professional growth, and ensure the highest standards of architectural integrity and delivery.
Own people leadership end-to-end: hiring and onboarding, setting goals and expectations, coaching and mentoring, performance management, and career
development.
Build and maintain mission-critical, high-scale systems using Java, Kafka, and Spark that process ~1B messages/day.
Act as the technical anchor between complex research and product delivery. Translate intricate algorithmic work and data flows into durable systems and visible product value.
Innovate: Drive the vision for our Iceberg-based Data Lake.
Drive AI adoption on the team: establish practical best practices for GenAI/LLM-assisted engineering (e.g., stronger code reviews, faster debugging, better test plans/docs, clearer technical decisions, incident summaries), while ensuring responsible usage.
B.Sc. in Computer Science, Engineering, or a related field (or equivalent practical experience).
4+ years of experience leading software development teams.
5+ years of backend development experience, with deep proficiency in Java (Spring Boot) and microservices architecture.
Extensive experience with Kafka concepts; Spark familiarity is a strong advantage.
A proven track record in developing large-scale ETL or data transformation pipelines.
AWS experience (services for storage/processing/analytics) and an understanding of security, performance, and cost best practices.
You dont just execute tickets you understand business impact, plan ahead, and translate complex systems into product value.
Proficiency with GenAI/LLM tools is a must.
Excellent English communication skills (written and verbal).
