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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, understand topics like the GIL, concurrency (asyncio), generators, and decorators, care about maintainable typing and thoughtful performance optimization
Architecture Patterns: comfortable applying Hexagonal Architecture to keep domain logic clean and decoupled, can leverage patterns like CQRS and the Transactional Outbox to support consistency and reliability in an event-driven environment
Database Polyglot: strong SQL fundamentals, know how to design for performance (PostgreSQL internals, indexing strategies), understand when tools like Redis (caching) or Elasticsearch (search/aggregations) are the right fit
Communication: communicate clearly in English across audiences
Pragmatic mindset: balance quality with impact, able to make thoughtful trade-offs, deliver iteratively, and keep an eye on long-term sustainability while moving at a good pace
Nice to have:
AdTech/MarTech Experience: Familiarity with APIs from major marketing or CRM platforms (Meta, Google, Salesforce Marketing Cloud, etc.)
Infrastructure as Code: Experience defining infrastructure using Terraform or AWS CDK
Data Engineering Crossover: Experience with data pipelines, Airflow, dbt, or data modeling in warehouse environments like Snowflake or BigQuery
ML & Internal Products: Experience building data or ML-powered internal services or automation platforms
Production Engineering: Experience with containerization (Docker) and orchestration (Kubernetes), comfortable debugging production issues using monitoring tools (Datadog, Prometheus, Grafana)
Open Source: A history of contributing to open-source projects or maintaining your own libraries
What we offer:
Responsibility from day one and professional and personal growth
Opportunity to have a real impact in a high-growth global category leader
A compensation package consisting of base salary and the potential to earn a significant bonus for top performance
Stock options plan
40% discount on all Fever events and experiences
Home office friendly
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English / Spanish Lessons
Wellhub Membership
Possibility to receive in advance part of your salary by Payflow
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