Automation Python Engineer

XpertDox LLC; Dadri; On-site; INR 600,000 - 900,000; Full time

Job summary

XpertDox LLC seeks an Automation Engineer to replace manual workflows with scalable automation, ensuring fault tolerance and reliability across complex environments. You will design automation that grows with the business while reducing operational overhead.

Responsibilities include building scalable pipelines, Selenium automation for dynamic apps, and automating data ingestion from APIs and FTP endpoints. Strong Python and Linux/Windows skills are essential.

Qualifications

• Strong Python programming skills with at least two years of hands-on experience.
• Experience with Selenium or other DOM automation tools.
• Solid understanding of Windows and Linux fundamentals.
• Strong debugging and troubleshooting skills across distributed systems.
• Automation-first mindset with a focus on scalability and long-term maintainability.
• Experience with version control systems such as Git or SVN.
• Experience designing or working within multi-process or concurrent architectures.

Responsibilities

• Design, build, and maintain scalable automation systems with fault detection and recovery mechanisms.
• Create and monitor reliable automation pipelines with safeguards against failures.
• Develop Selenium-based automation for complex Applications and robust download/upload workflows.
• Continuously identify manual processes and convert them into automated solutions.
• Automate data ingestion and transfer from APIs, FTP endpoints, and other sources.
• Build and maintain large-scale scripting and automation environments.
• Monitor automation health and address reliability and performance issues.

Skills

Python

Selenium

Windows

Linux

Bug fixing

Git

Concurrency

Automation

Security basics

Tools

MongoDB

AWS/Azure/GCP

HL7/FHIR

Virtualization

Job description

Role Overview

We are seeking an Automation Engineer who is passionate about replacing manual workflows with scalable, fault-tolerant automation. This role focuses on building resilient systems that can handle failure gracefully, recover automatically, and operate reliably across complex environments. You will play a key role in designing automation that grows with the business while minimizing operational overhead.

Technology Stack and Environment

• Python
• Cloud providers such as AWS, Azure, or GCP
• HL7 and FHIR
• MongoDB
• Windows and Linux environments

Key Responsibilities

• Design, build, and maintain scalable automation systems with strong fault detection and recovery mechanisms.
• Create and monitor reliable automation pipelines with multiple safeguards against failure points.s
• Develop Selenium-based automation for complex and dynamic applications, including robust download and upload workflows, to ensure seamless integration and efficient operation.
• Continuously identify manual processes and convert them into automated, repeatable solutions.
• Automate data ingestion and transfer from APIs, FTP endpoints, and other external sources
• Build and maintain large-scale scripting and automation environments
• Monitor automation health and proactively address reliability and performance issues
• Contribute throughout the full development lifecycle as a core technical resource
• Support and improve existing automation and production systems as needed
• Manage and prioritize multiple projects simultaneously in a fast-paced environment

Required Qualifications

• Strong Python programming skills with at least two years of hands‑on experience
• Experience with Selenium or other DOM automation tools
• Solid understanding of Windows and Linux fundamentals
• Strong debugging and troubleshooting skills across distributed systems
• Automation‑first mindset with a focus on scalability and long‑term maintainability
• Ability to manage competing priorities and deliver high‑quality results
• Strong passion for problem‑solving and complex technical challenges
• Understanding of data protection, security principles, and secure automation practices
• Experience with version control systems such as Git or SVN
• Experience designing or working within multi‑process or concurrent architectures

Bonus Qualifications

• Experience with PyAutoGUI
• Experience building or integrating Flask‑based APIs
• Hands‑on experience with MongoDB
• Experience managing or deploying virtual machines in cloud environments