We're looking for a Backend Engineer with a signature client of ours in the B2B SaaS industry.
They are looking for an individual with a strong foundation in backend architecture and data infrastructure to help build and scale the core systems that power their platform. You'll be part of a high-impact team working and your work will directly shape how their platform ingests, processes, and serves data at scale.
Responsibilities:
- Design, build, and maintain backend services and data pipelines that support our backend system which powers their platform
- Architect scalable microservices and APIs to handle large volumes of data relating to millions of assets belonging to our 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
Ideal Experience:
- 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
It would be a bonus if you have:
- Experience working with large-scale data processing or streaming systems, especially for security analysis
- Familiarity with data engineering tasks like building ETL pipelines and schema versioning
- Exposure to DevOps practices and CI/CD tooling for automated deployment and monitoring
- Familiarity in Cloud-based services & able to leverage Cloud-based services as part of service deployments
- Prior work in an Agile, DevOps-driven engineering culture
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