You will be leading the Compliance Engineering Squad, the technological "Guardians" of the company. We dont just write code; we build the safety net that allows our business to run fast and launch new products safely.
In a high-growth Fintech environment, our team ensures that every loan, transaction, and interaction meets the strictest regulatory standards – automatically and seamlessly.
We operate as a hybrid squad, blending robust Backend engineering with advanced Data Engineering. As the Team Lead, you will guide this multidisciplinary group in solving complex business challenges.
We treat compliance as a first-class engineering product. Our stack is modern, diverse, and built for scale:
Core: Kotlin, Python, and Java atop a Modulith architecture.
Data & Scale: Snowflake, Airflow, Spark, and DBT for high-volume data processing.
Infrastructure: Event-driven architecture (Kafka), AWS, and K8s.
Frontend: Internal tools built with React (Micro-frontends).
In a high-growth Fintech environment, our team ensures that every loan, transaction, and interaction meets the strictest regulatory standards – automatically and seamlessly.
We operate as a hybrid squad, blending robust Backend engineering with advanced Data Engineering. As the Team Lead, you will guide this multidisciplinary group in solving complex business challenges.
We treat compliance as a first-class engineering product. Our stack is modern, diverse, and built for scale:
Core: Kotlin, Python, and Java atop a Modulith architecture.
Data & Scale: Snowflake, Airflow, Spark, and DBT for high-volume data processing.
Infrastructure: Event-driven architecture (Kafka), AWS, and K8s.
Frontend: Internal tools built with React (Micro-frontends).
Requirements:
B.Sc. in Computer Science, Engineering, or a related field (or equivalent experience).
5 + years of experience in software development (Backend focused), with a strong emphasis on system architecture.
2+ years of experience leading engineering teams, mentoring developers, and managing end-to-end project lifecycles in production environments
Strong background in building large-scale, high-performance systems and designing distributed microservices.
Experience with data pipelines and big data infrastructure (familiarity with tools like Spark, Airflow, or Snowflake is a plus).
Hands-on experience with Java or Kotlin in production, and familiarity with Cloud technologies (AWS).
Ability to collaborate and communicate effectively across teams (Engineers, Product, Legal) and with senior leadership.
Passion for compliance, data accuracy, and impactful results. Solution-oriented mindset with a proactive approach to problem-solving.
Adaptability to thrive in a fast-paced, dynamic environment.
Proficiency in written and spoken English.
Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued.
Advantage:
Strong proficiency in Kotlin.
Experience with Event-Driven Architecture and Kafka.
Domain Expertise: Background in Fintech, Banking, or Regulation/Compliance environments.
Data Tools: Experience with specific data engineering tools like Snowflake, Spark, or DBT.
B.Sc. in Computer Science, Engineering, or a related field (or equivalent experience).
5 + years of experience in software development (Backend focused), with a strong emphasis on system architecture.
2+ years of experience leading engineering teams, mentoring developers, and managing end-to-end project lifecycles in production environments
Strong background in building large-scale, high-performance systems and designing distributed microservices.
Experience with data pipelines and big data infrastructure (familiarity with tools like Spark, Airflow, or Snowflake is a plus).
Hands-on experience with Java or Kotlin in production, and familiarity with Cloud technologies (AWS).
Ability to collaborate and communicate effectively across teams (Engineers, Product, Legal) and with senior leadership.
Passion for compliance, data accuracy, and impactful results. Solution-oriented mindset with a proactive approach to problem-solving.
Adaptability to thrive in a fast-paced, dynamic environment.
Proficiency in written and spoken English.
Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued.
Advantage:
Strong proficiency in Kotlin.
Experience with Event-Driven Architecture and Kafka.
Domain Expertise: Background in Fintech, Banking, or Regulation/Compliance environments.
Data Tools: Experience with specific data engineering tools like Snowflake, Spark, or DBT.
This position is open to all candidates.
