Role Summary

We are seeking a hands-on Senior Python Engineer to join our Service Operations team, with a strong focus on Python development, automation, scripting, and DevOps practices.
This role is ideal for engineers who are strong in Python, enjoy building automation solutions, and are comfortable working in cloud-native environments. The expected focus is approximately 70% Python development and automation testing, and 30% DevOps-related activities, including CI/CD, Kubernetes, and deployment automation.
The engineer will work closely with development, QA, DevOps, and operations teams to improve system reliability, automate repetitive workflows, support testing activities, and contribute to scalable engineering practices.

Key Responsibilities

• Develop, maintain, and enhance Python-based applications, automation tools, scripts, and utilities.
• Design and implement automation scripts to support testing, monitoring, deployment, and operational workflows.
• Build and maintain automation test scripts using Python and related frameworks.
• Support backend service development, API integration, and internal tooling using Python.
• Work with engineering teams to improve code quality, maintainability, and performance.
• Integrate automated scripts and tools into CI/CD pipelines, such as GitHub Actions or similar platforms.
• Support DevOps-related activities, including build, deployment, release automation, and environment configuration.
• Work with containerized environments using Docker and Kubernetes.
• Collaborate with infrastructure and DevOps teams to support deployment and operations in cloud-native environments.
• Troubleshoot application, automation, and deployment issues across development, test, and production-like environments.
• Contribute to technical documentation, coding standards, automation guidelines, and continuous improvement initiatives.
• Work in Agile/DevOps environments and collaborate with cross-functional teams.

Required Qualifications

• 5+ years of hands-on experience in Python development.
• Strong Python coding capability, including scripting, automation, backend development, and API integration.
• Experience in automation testing or test script development using Python.
• Good understanding of software engineering practices, clean code, debugging, and performance optimization.
• Experience working with CI/CD pipelines, preferably Harness or similar tools.
• Practical experience with Docker and Kubernetes.
• Familiarity with Linux environments and shell scripting.
• Experience working with REST APIs and service integration.
• Good understanding of cloud-native application environments.
• Experience working in Agile/DevOps teams.
• Strong problem-solving skills and ability to work independently with minimal supervision.
• Good communication skills and ability to collaborate with development, QA, DevOps, and operations teams.

Preferred Qualifications

• Experience with AWS cloud services.
• Experience with infrastructure automation or deployment scripting.
• Familiarity with monitoring, logging, and observability tools.
• Experience with test automation frameworks such as Pytest, Robot Framework, or similar.
• Exposure to backend frameworks such as FastAPI, Flask, or Django.
• Familiarity with Infrastructure as Code tools such as Terraform.
• Experience in banking, financial services, or enterprise application environments.

(Due to the high volume of applications we receive, we are unable to respond to every candidate individually. If you have not received a response from GFT regarding your application within 10 workdays, please consider that we have decided to proceed with other candidates. We truly appreciate your interest in GFT and thank you for your understanding.)