Software Engineer, Test Automation (Python/PyTest)

About the role

Software Engineer, Test Automation (Python/PyTest)

Location: Hyderabad, India (Hybrid – 3 days in office)

Write Python that stress-tests enterprise cloud storage, and grow your engineering career at Nasuni Hyderabad.

You’ll build automated tests, debug complex distributed systems, and plug your work into CI/CD pipelines, using AI tools like Copilot to move faster. 2-4 years of experience, with strong Python and Linux basics. Hybrid in Hyderabad (3 days in office), with mentorship from experienced engineers on a Vista-backed, high-growth SaaS team.

Role Overview

Join Nasuni’s engineering team focused on validating the performance, scalability, and reliability of our cloud-native File Data Platform. As a Software Engineer, you will build and expand automated test coverage, contribute to shared tooling, and help ensure enterprise-grade quality across releases.

This role is ideal for engineers early in their careers who enjoy hands-on coding, debugging complex systems, and working closely with development teams to improve product quality.

Level & Scope

- Contributes to test automation, tools, and validation workflows with guidance

- Works within defined systems; limited decision authority on architecture

- Collaborates across Engineering, QA, and Product teams

- Focused on execution, learning, and incremental improvement

Responsibilities

- Build and maintain automated tests using Python and PyTest

- Contribute to shared test frameworks, utilities, and internal tools

- Integrate automated tests into CI/CD pipelines for reliable releases

- Analyze logs, metrics, and failures to identify root causes

- Reproduce issues, validate fixes, and improve test coverage

- Configure test environments (Linux, VMs, storage systems)

- Apply AI-assisted tools (e.g., debugging copilots, test generation tools) to improve productivity and test coverage

- Participate in design discussions to ensure testability of new features

Qualifications

Must-Have

- 2–4 years of experience in software engineering, QA automation, or similar (internships included if hands-on)

- Strong Python programming fundamentals

- Experience with automated testing frameworks (e.g., PyTest)

- Familiarity with Linux environments and command-line tools

- Basic understanding of CI/CD workflows (Jenkins, GitLab, or similar)

Preferred

- Exposure to distributed systems or cloud environments

- Experience debugging system-level issues using logs/metrics

- Familiarity with version control systems (Git)

Ideal

- Experience with network file systems (SMB, NFS, CIFS)

- Exposure to AWS, Azure, or GCP

- Experience using AI tools (e.g., GitHub Copilot, ChatGPT, test generation tools) in development workflows