Job Overview

We are seeking a Senior Python Software Engineer to design, develop, and maintain backend automation systems and data processing services. This role focuses on building scalable Python-based applications, modernizing existing automation scripts, and developing API-driven services that support enterprise workflows and system integrations.

The ideal candidate will have strong experience in Python backend development, REST APIs, distributed data processing, workflow automation, and database-driven applications.

Key Responsibilities

• Design, develop, and maintain Python-based backend services and automation systems

• Refactor and improve existing Python scripts to create modular, maintainable software components

• Develop and maintain REST APIs to support internal systems and third-party integrations

• Build and maintain data processing pipelines and automation workflows

• Design and implement database-driven applications using relational databases

• Integrate enterprise systems using API-based integrations

• Implement workflow orchestration and automated processing pipelines

• Optimize system performance and reliability for large-scale data processing workloads

• Collaborate with engineering teams on software architecture and system design

• Support deployment, monitoring, and operational stability of backend systems

Required Qualifications

Programming

Strong proficiency in:

• Python (3.x)

• SQL for relational database development

• Bash or similar scripting languages

Additional languages are a plus:

• JavaScript

• Java

• C / C++

Backend Development

Experience building backend applications using:

• Python web frameworks such as Django

Required capabilities:

• REST API development

• backend service design

• API integration with internal and external systems

• request/response processing

Data Processing & Engineering

Experience working with large-scale data processing platforms such as:

• PySpark

• Delta Lake

• Databricks

Capabilities should include:

• distributed data processing

• data ingestion pipelines

• batch processing systems

Workflow Automation

Experience designing and managing automated workflows using:

• Apache Airflow

Skills should include:

• task orchestration

• pipeline scheduling

• workflow dependency management

Databases

Experience with relational databases such as:

• Microsoft SQL Server

• MySQL

• PostgreSQL

Additional experience with:

• Redis (caching or data storage)

• Solr (search indexing)

Systems Integration

Experience integrating enterprise platforms using:

• REST APIs

• third-party communication platforms such as Twilio or RingCentral

Infrastructure & DevOps

Experience deploying and managing applications using:

• Docker (containerization)

• Linux environments

• Windows Server

DevOps practices:

• Git / GitLab version control

• CI/CD pipelines

Preferred Qualifications

• Experience refactoring complex Python automation systems

• Experience designing modular backend architectures

• Experience with distributed data platforms or large-scale data pipelines

• Familiarity with caching technologies such as Redis

• Experience with search indexing systems such as Solr

• Exposure to high-performance or parallel processing environments

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, Physics, or related technical field (or equivalent experience)

• 5+ years of professional Python software development experience

• Experience building backend systems, automation platforms, or data processing pipelines

Ideal Candidate

The ideal candidate is a strong Python backend engineer who enjoys building scalable automation systems and improving existing platforms. They are comfortable working with backend services, data pipelines, integrations, and infrastructure, and can help evolve existing systems into structured, maintainable software platforms.