Staff Software Engineer - AI Security (Go/Rust/Python)
Zscaler is seeking a highly skilled and motivated Staff Software Engineer specializing in the critical domain of AI Security. This role involves designing, building, and deploying secure and robust infrastructure that safeguards against emerging threats targeting Artificial Intelligence systems. Key responsibilities include developing core services using Go, Rust, and Python, implementing advanced security protocols, optimizing system performance, and collaborating cross-functionally with product managers and security architects. The ideal candidate possesses deep expertise in backend development, containerization technologies, and a proactive passion for mitigating sophisticated cyber risks across diverse platforms. You will play a crucial role in shaping the future of cloud security by making AI intrinsically secure.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1200
Question set
250
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Staff Software Engineer - AI Security (Go/Rust/Python)?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Staff Software Engineer - AI Security (Go/Rust/Python)?
Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.
Is there negative marking in the zscaler test?
The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.
What is the passing marks for this test?
The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.
How can I prepare for the Staff Software Engineer - AI Security (Go/Rust/Python) test?
Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: AI Security, Go, Rust, Python, Backend Development.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.