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We’re looking for Software Engineers to join our Data Department, developers with strong backend engineering skills and a passion for building the services and infrastructure that power critical systems for users and partners. You will work at the intersection of software engineering, AI and business automation, helping turn insights and models into reliable, scalable systems used across Fever.
Job Responsibility:
Architect and Build: Design, implement, and maintain scalable microservices using Python (FastAPI/Django)
take ownership of breaking down complex monoliths or building new services from the ground up, applying DDD principles
Master the Event Stream: Build robust, event-driven flows with Kafka
ensure that our events are durable, ordered, and processed idempotently, managing eventual consistency with care
Integrate at Scale: Design fault-tolerant integrations with third-party ecosystems (Meta Ads, Google Marketing Platform, Salesforce)
navigate rate limits, retries, and circuit breakers to maintain platform stability
Bridge OLTP and OLAP: Work at the intersection of transactional applications and analytical data
optimize PostgreSQL for operational efficiency while designing ingestion pipelines for Snowflake and Elasticsearch, using Airflow and dbt
Productionize Data Capabilities: Partner closely with Data Science, Machine Learning, and Data Engineering teams to ensure seamless integration of data sources and model infrastructure
Elevate the Bar: Lead thorough code reviews, write RFCs for key technical decisions, and mentor mid-level engineers
champion testing strategies (unit, integration, contract testing) and advocate for clean, sustainable code architecture
Requirements:
Python Proficiency: confident working deeply in Python
understanding topics like the GIL, concurrency (asyncio), generators, and decorators