Avive Solutions, Inc.

Senior Backend Engineer

Rol remoto de Backend Development con fit claro de ubicación del candidato.

Publicado14 jul 2026

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

Estados Unidos

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

Design, build, and maintain scalable backend services and APIs using Python and Django.
Develop and optimize data storage solutions with PostgreSQL and Redis, ensuring reliability andperformance.
Implement Elasticsearch for search and analytics across large datasets.
Architect and operate distributed systems that handle high-throughput and low-latency workloads.
Build and operate asynchronous task queues and background workers using Celery and Redis.
Write clean, maintainable, and unit-test–focused code with strong coverage using pytest.
Build and maintain REST APIs, ensuring proper authentication, authorization, and versioning
Monitor, troubleshoot, and optimize backend services for scalability, reliability, and cost-effectiveness.
Collaborate with frontend, QA, DevOps, and product teams to deliver end-to-end solutions.
Document technical designs, APIs, and operational runbooks.
Perform other backend software engineering duties as assigned and according to capability

Bachelor’s degree in Computer Science, Engineering, or a related field.
Proven experience developing and maintaining backend systems in production environments.
Strong programming expertise in Python and Django.
Hands-on experience with PostgreSQL, including schema design and query optimization.
Experience with Redis for caching, message queues, or real-time data.

Bachelor’s degree in Computer Science, Engineering, or a related field.
Proven experience developing and maintaining backend systems in production environments.
Strong programming expertise in Python and Django.
Hands-on experience with PostgreSQL, including schema design and query optimization.
Experience with Redis for caching, message queues, or real-time data.

Practical use of Elasticsearch for indexing, search, and data analytics.
Experience building and consuming APIs, including documentation and testing.
Solid understanding of distributed systems design patterns.
Strong focus on unit tests and automated testing using pytest or similar frameworks.
Proficiency with Docker and containerized application deployments.
Proven experience with Celery and managing background workers in production.
Familiarity with CI/CD pipelines and DevOps practices.
Agile/Scrum team experience

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