Network Test Automation Development Engineer

Jobtailor; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Jobtailor in Bengaluru, India, is seeking an experienced test automation engineer to design and maintain scalable automation frameworks for network testing. You will work with Python, Java, or Go to build robust test suites and integrate them into CI/CD pipelines for faster releases.

The role emphasizes applying AI/ML approaches to generate test cases, detect anomalies, and provide self-healing automation, while analyzing large datasets to uncover quality risks.

Qualifications

• 7+ years of experience with strong programming skills in Python, Java, or Go for test automation and tool development.
• Hands-on experience with test automation frameworks such as Robot Framework, pytest, Selenium, and Postman.
• Solid understanding of network protocols and architectures (TCP/IP, IP/MPLS, Routing & Switching, SDN/NFV, 4G/5G).
• Experience with CI/CD tools and DevOps practices (Jenkins, GitLab CI, or similar).
• Practical understanding of AI/ML concepts applied to automation or data analysis.
• Exposure to ML libraries such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms and container technologies (AWS/Azure/GCP, Docker, Kubernetes).
• Strong analytical, problem-solving, communication, and cross-functional collaboration skills.

Responsibilities

• Design, develop, and maintain scalable automation frameworks for network testing.
• Develop automated test suites using Python, Java, or Go.
• Integrate automated tests into CI/CD pipelines for continuous testing.
• Apply AI/ML techniques for test generation, anomaly detection, and self-healing automation.
• Analyze large volumes of test and network data to identify patterns and risks.
• Develop AI-driven tools for network test data analysis and visualization.
• Collaborate with development, product, and QA teams to ensure testability and timely defect resolution.
• Contribute to test strategy, code reviews, and automation documentation.

Skills

Python/Java/Go

Robot Framework

pytest

Selenium

CI/CD tooling

AI/ML concepts

TensorFlow

PyTorch

scikit-learn

Networking knowledge

Cloud & containers

Cross-functional collaboration

Docker

Kubernetes

Postman

Jenkins

GitLab CI

Tools

Docker

Kubernetes

Postman

AWS

Azure

GCP

GitLab CI

Jenkins

Job description

Responsibilities

• Design, develop, and maintain scalable automation frameworks for functional, regression, performance, and end‑to‑end network testing.
• Develop automated test suites using Python, Java, or Go with frameworks such as Robot Framework, pytest, and Selenium.
• Integrate automated tests into CI/CD pipelines to enable continuous testing and faster release cycles.
• Apply AI/ML techniques for intelligent test case generation, anomaly detection, predictive defect analysis, and self‑healing automation.
• Analyze large volumes of test and network data to identify patterns, trends, and quality risks.
• Develop AI‑driven tools for network test data analysis, insights, and visualization.
• Collaborate with development, product, and QA teams to ensure testability and timely defect resolution.
• Contribute to test strategy, code reviews, design discussions, and maintain automation documentation.

Requirements

• 7+ years of experience with strong programming skills in Python, Java, or Go for test automation and tool development.
• Hands‑on experience with test automation frameworks such as Robot Framework, pytest, Selenium, and Postman.
• Solid understanding of network protocols and architectures (TCP/IP, IP/MPLS, Routing & Switching, SDN/NFV, 4G/5G).
• Experience with CI/CD tools and DevOps practices (Jenkins, GitLab CI, or similar).
• Practical understanding of AI/ML concepts applied to automation or data analysis.
• Exposure to ML libraries such as TensorFlow, PyTorch, or scikit‑learn.
• Familiarity with cloud platforms and container technologies (AWS/Azure/GCP, Docker, Kubernetes).
• Strong analytical, problem‑solving, communication, and cross‑functional collaboration skills.

Core Competencies

Demonstrates expertise in designing and developing scalable automation frameworks for network testing, utilizing programming languages such as Python, Java, or Go. Proficient in integrating automated tests into CI/CD pipelines and applying AI/ML techniques for intelligent test case generation and data analysis.