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Backend Engineer (Python + Go)

RehireRemote - ET (Eastern)6d ago
RemoteMidNACloud ComputingBackend EngineerDocumentationPythonGoFastAPIFlask

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Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or related technical field. • 3+ years of professional backend engineering experience, ideally in consulting or fast-paced product environments. • Advanced Python expertise building production-grade APIs with FastAPI, Flask, or similar frameworks. • Solid experience with Go (Golang), including strong understanding of goroutines and concurrency patterns. • Strong experience with SQL (PostgreSQL) and NoSQL databases, including schema design and query optimization. • Experience with Docker, CI/CD pipelines, and cloud-native architectures. • Strong problem-solving skills and ability to collaborate effectively with remote, cross-functional teams in an ET-aligned schedule. • · Full-time 100% remote role. Contractor Mode. • · Duration - 6 months with possibility of extension • Duration - 6 months with possibility of extension • · Work schedule: Monday to Friday, from 9:00 AM to 6:00 PM (US Eastern Time). • · Global environment: collaborate with an international team across multiple regions. • · Competitive salary in USD and growth opportunities in a global environment. • If you meet the requirements and are interested in this exciting opportunity, apply at www.rehire.ar/jobs and send us your CV! • If you meet the requirements and are interested in this exciting opportunity, apply at • www.rehire.ar/jobs • and send us your CV!

Responsibilities

• Design, develop, and optimize high-performance server-side applications using Python (FastAPI) and Go. • Architect and maintain scalable microservices capable of handling high-volume data and concurrent user requests. • Design, implement, and document secure RESTful and/or gRPC APIs that support AI and data-driven platforms. • Identify latency issues and system bottlenecks; refactor legacy code and optimize database performance. • Collaborate with DevOps and Data teams to deploy containerized services (Docker/Kubernetes) in cloud environments (GCP/AWS). • Conduct thorough code reviews, write unit and integration tests, and maintain strong technical documentation standards. • Implement observability best practices (logging, metrics, tracing) to ensure reliability and 99.9% uptime.

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