Backend Engineering Leader

7 days ago

Singapore beBeeBackendEngineer Full time $80,000 - $120,000
Job Opportunity

We are looking for an experienced backend engineer to join our team. The successful candidate will have a strong foundation in backend architecture and data infrastructure, with expertise in designing and maintaining mission-critical applications using microservices architecture.

The ideal candidate will have experience working with relational and non-relational databases, including Postgres and MongoDB, as well as familiarity with event-driven architectures and asynchronous data processing at scale.

Additionally, the candidate should be proficient in writing clean, testable code and applying automated testing practices, with experience working with data workflows and asynchronous task queues, such as Kafka and Airflow.

A strong sense of ownership and initiative is essential, as well as a can-do attitude and willingness to take on ambiguous challenges and drive projects forward independently.

Responsibilities
  • Design, build, and maintain backend services and data pipelines that support the core systems powering our platform
  • Architect scalable microservices and APIs to handle large volumes of data relating to millions of assets belonging to clients and how they can be compromised
  • Work closely with frontend engineers and product teams to integrate backend systems with the user interface and reporting layers
  • Continuously improve our systems, from deployment to monitoring, as they scale rapidly
Requirements
  • 5 or more years of relevant experience in the following:
  • Backend: FastAPI, Airflow
  • Database: Postgres, MongoDB
  • Message Queues: Kafka
  • Strong experience designing and maintaining mission-critical backend applications using microservices architecture
  • Proficiency in working with both relational (e.g. Postgres) and non-relational (e.g. MongoDB) databases
  • Familiarity with event-driven architectures, event sourcing, and managing asynchronous data processing at scale
  • Comfortable writing clean, testable code and applying automated testing practices
  • Experience working with data workflows and asynchronous task queues (e.g. Kafka, Airflow, etc)
  • Demonstrated ability to thrive in fast-paced startup environments, showing a strong sense of ownership and initiative
  • A can-do attitude with the willingness to take on ambiguous challenges, wear multiple hats, and drive projects forward independently

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