Python-Focused Engineer (Mid–Senior) Remote-LATAM
Excellent opportunity to work REMOTELY with a U.S.-based company. Candidates living in Mexico, or all LATAM are welcome to apply. About the Company
Bydrec, Inc. is a California-based company that connects top Tech talent from Latin America with U.S. companies looking to expand their development teams. Learn more at .
Position Summary We are seeking a Python-Focused Engineer (Mid–Senior) to support backend-heavy initiatives, including data pipelines, integrations, and job distribution systems.
The ideal candidate has strong experience with Python and Django internals, is comfortable working with complex data workflows, and can navigate legacy systems while delivering scalable backend solutions.
Responsibilities
- Develop and maintain backend services using Python and Django.
- Work extensively with Django ORM and complex database queries.
- Build and maintain data pipelines and feed ingestion systems (XML, APIs).
- Implement background processing using Celery and Redis.
- Integrate with third-party systems, including ATS platforms such as Greenhouse, Lever, or iCIMS.
- Optimize PostgreSQL databases and backend performance.
- Support job distribution systems and data workflows.
- Troubleshoot and resolve backend issues across services.
- Collaborate with cross-functional teams to deliver scalable solutions.
- Take ownership of backend features end-to-end.
Qualifications Required:
- Advanced English proficiency (written and spoken).
- Strong experience with Python and Django, including internals and ORM.
- Hands-on experience with Celery and Redis for async processing and scheduled jobs.
- Advanced knowledge of PostgreSQL, including complex queries.
- Experience with third-party API integrations, particularly ATS platforms (e.g., Greenhouse, Lever, iCIMS).
- Experience building and maintaining data pipelines or feed processing systems.
- Ability to work independently and navigate complex or legacy systems.
Nice to Have:
- Experience with AWS.
- Familiarity with PostGIS.
- Experience with machine learning integrations or predictive services.
- Knowledge of search tools such as Algolia.
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