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watershed

Senior software engineer, AI platform

We are seeking a skilled Senior Software Engineer to join our AI Platform team, responsible for the development and scaling of mission-critical components. This highly technical role requires hands-on experience building production-grade services using modern cloud architectures. Key responsibilities include designing robust APIs, optimizing data pipelines, and ensuring high availability for features utilized across our core product suite. Collaboration with specialized ML engineers is essential to operationalize machine learning models effectively within the platform infrastructure. Ideal candidates possess deep knowledge of containerization (Docker, Kubernetes) and database optimization, driving both technical excellence and measurable business impact in a demanding on-site environment.

watershed San Francisco, United States

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

2900

Question set

280

Duration

Permanent

Focus areas

AI EngineeringSoftware DevelopmentFull Stack

People Also Ask (FAQs)

What is the last date to apply for Senior software engineer, AI platform?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Senior software engineer, AI platform?

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 watershed 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 Senior software engineer, AI platform 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 Engineering, Software Development, Full Stack.

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