Remote Staff Backend Engineer (Python) - Build scalable services

BairesDev

Distrito Capital

Remote

VES 88,889,000 - 124,444,000

Full time

2 days ago
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Benefits offered by this job

100% remote
USD salary option
Home office hardware provided
Flexible hours
Paid parental leave
Global team

Job summary

BairesDev is seeking a Staff Backend Engineer – Python to design and build scalable backend services powering products used by millions of users. You will own features end to end, influence architecture, and guide best practices across distributed teams.

Ideal candidates have 8+ years of backend engineering experience with Python, strong AWS Serverless knowledge (Lambda, SQS, SNS, EventBridge, API Gateway), and proficiency with PostgreSQL/DynamoDB.

Qualifications

  • 8+ years of backend engineering experience with Python.
  • Strong experience with AWS Serverless services (Lambda, SQS, SNS, EventBridge, API Gateway).
  • Proficiency with PostgreSQL and DynamoDB.
  • Experience designing microservices and event-driven architectures.
  • Containerization with Docker and orchestration with Kubernetes or ECS.
  • Excellent written and spoken English.

Responsibilities

  • Design and build backend services on AWS serverless infrastructure.
  • Own complete features end to end, from design through deployment.
  • Design microservices and event-driven systems that scale reliably.
  • Containerize and orchestrate services using Docker, Kubernetes or ECS.
  • Design data models across PostgreSQL and DynamoDB and APIs for web/mobile apps.

Skills

Backend engineering
Python
English

Tools

AWS Serverless
Lambda
SQS
SNS
EventBridge
API Gateway
PostgreSQL
DynamoDB
Docker
Kubernetes
ECS

Job description

BairesDev is seeking a Staff Backend Engineer – Python to design and build scalable backend services powering products used by millions of users. You will own features end to end, influence architecture, and guide best practices across distributed teams.

Ideal candidates have 8+ years of backend engineering experience with Python, strong AWS Serverless knowledge (Lambda, SQS, SNS, EventBridge, API Gateway), and proficiency with PostgreSQL/DynamoDB.

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