トレンド企業

Fortinet
Fortinet

Cybersecurity company

Software Dev QA Engineer- 3

職種QA
経験ミドル級
勤務地Bangalore East, Karnataka, India
勤務オンサイト
雇用正社員
掲載15ヶ月前
応募する

必須スキル

Python

Java

AWS

PyTorch

TensorFlow

GCP

Azure

Fortinet, founded over 20 years ago, has become a driving force in the evolution of cybersecurity and the convergence of networking and security. Our mission is to secure people, devices, and data everywhere.

What You Will Do:

Design, develop, and execute comprehensive test cases and test plans for networking products and AI/ML-based solutions.
Perform functional, performance, scalability, and stress testing to ensure product robustness.
Validate AI/ML models by testing accuracy, reliability, bias, and integration with system workflows.
Develop and maintain test automation frameworks and scripts for regression and functional testing.
Use tools like Selenium, Appium, or custom-built frameworks to automate test cases.
Optimize test coverage through automation for networking scenarios and AI/ML pipelines.
Test network protocols, devices, and configurations, including routers, switches, firewalls, and SD-WAN.
Analyse network traffic using tools like Wireshark or tcpdump to troubleshoot and debug issues.
Validate the integration of networking components with AI/ML-based systems.
Collaborate with data science team   to understand AI/ML models and datasets.
Perform testing of data pre-processing, model training, deployment pipelines, and inference accuracy.
Develop methods to ensure explainability, fairness, and compliance of AI/ML models.

We Are Looking for:

4–8 years of hands-on experience in product testing for networking and/or AI/ML domains.
Strong understanding of networking concepts such as TCP/IP, routing, switching, VLANs, VPNs, and network security protocols.
Proficiency in scripting languages like Python, Java.
Experience with CI/CD tools like Jenkins, GitLab.
Familiarity with automation frameworks.
Knowledge of AI/ML concepts, including supervised and unsupervised learning, neural networks, and model evaluation.
Hands-on experience with testing AI/ML models or familiarity with frameworks like Tensor Flow, Py Torch, or Scikit-learn.
Experience with networking tools (Wireshark, Wirelesssniffer) and automation platforms.
Exposure to cloud environments (AWS, Azure, GCP) and testing APIs or micro services.

Preferred Qualifications:

Certifications such as CCNA/CCNP, Cloud based  Certified.
Experience in performance testing of networking equipment and AI/ML pipelines.
Working Conditions:
This position requires working from the office full-time; remote work is not available.
Company Culture:
At Fortinet, we foster a culture of innovation, collaboration, and continuous learning. We are committed to creating an inclusive environment where all employees feel valued and respected.
We encourage candidates from all backgrounds and identities to apply. We offer a competitive Total Rewards package to support you in managing your overall health and financial well-being, flexible work arrangements, and a supportive work environment. If you aspire to experience a challenging, enjoyable, and rewarding career journey, we invite you to consider joining us and bringing solutions that make meaningful and lasting impact to our 660,000+ customers around the globe.

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Fortinetについて

Fortinet

Fortinet

Public

Fortinet, Inc. is an American cybersecurity company headquartered in Sunnyvale, California. It develops and sells security products including firewalls, endpoint security and intrusion detection systems. Fortinet has offices in the US, Canada, and UK.

10,001+

従業員数

Sunnyvale

本社所在地

$19B

企業価値

レビュー

10件のレビュー

3.7

10件のレビュー

ワークライフバランス

2.8

報酬

4.0

企業文化

3.5

キャリア

2.5

経営陣

2.2

65%

知人への推奨率

良い点

Good salary and benefits

Supportive team environment

Training and development opportunities

改善点

Heavy workload and long hours

Limited career advancement opportunities

Poor management communication

給与レンジ

39件のデータ

Mid/L4

Senior/L5

Mid/L4 · CONSULTING SYSTEMS ENGINEER

3件のレポート

$151,000

年収総額

基本給

$185,099

ストック

-

ボーナス

-

$151,000

$151,000

面接レビュー

レビュー1件

難易度

4.0

/ 5

期間

14-28週間

内定率

100%

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Offer

よくある質問

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Network Security Concepts

Culture Fit