Senior Python Backend Engineer — FastAPI & PostgreSQL

PeopleLogic; Manila; Hybrid; PHP 1,200,000 - 1,600,000; Full time

Job summary

PeopleLogic seeks an experienced Senior Python Backend Engineer in Manila to design, build, and maintain asynchronous backend services using Python and FastAPI. You will implement robust REST APIs, validate data with Pydantic, and optimize PostgreSQL interactions with SQLAlchemy 2.0-style mappings.

You will also manage database migrations with Liquibase, integrate with PyArrow Flight, Dremio, and Snowflake, and participate in containerized deployments using Docker, Kubernetes, and Helm.

Qualifications

• 6-8 years of software development experience.
• Strong hands-on Python backend development.
• Experience with asynchronous FastAPI applications and PostgreSQL ORM.
• Understanding of API development, database migrations, and automated testing.

Responsibilities

• Design, develop, and maintain asynchronous backend services using Python and FastAPI.
• Build and maintain request/response validation using Pydantic models.
• Develop and optimize database interactions using PostgreSQL and SQLAlchemy 2.0-style ORM patterns.
• Design REST APIs with proper error handling and structured responses.
• Manage database schema changes using Liquibase XML changesets and Maven-based migrations.
• Collaborate with teams to support containerized applications.

Skills

Asynchronous backend

Python backend

API design

Automated testing

Deployment concepts

Tools

Pydantic

PostgreSQL

SQLAlchemy ORM

REST API

Liquibase

PyArrow

Dremio

Snowflake

pytest

Docker

Kubernetes

Helm

Job description

PeopleLogic seeks an experienced Senior Python Backend Engineer in Manila to design, build, and maintain asynchronous backend services using Python and FastAPI. You will implement robust REST APIs, validate data with Pydantic, and optimize PostgreSQL interactions with SQLAlchemy 2.0-style mappings.

You will also manage database migrations with Liquibase, integrate with PyArrow Flight, Dremio, and Snowflake, and participate in containerized deployments using Docker, Kubernetes, and Helm.