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fal-ai

Software Engineer, Distributed Systems

Are you ready to build the next generation of globally scaled distributed systems? This exciting full-time opportunity allows you to join our remote team at fal-ai. You will be responsible for architecting and implementing core backend services that handle massive concurrent requests, ensuring reliability and low latency across global deployments. Key tasks include developing robust microservices using modern languages (like Go), managing state synchronization, and optimizing database interactions at scale. We seek engineers who thrive in ambiguity and have deep expertise in designing highly available, fault-tolerant cloud infrastructure suitable for advanced AI applications.

fal-ai Remote - Global, United States

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

يتحضرون الآن

3100

مجموعة الأسئلة

200

المدة

Permanent

مجالات التركيز

GoDistributed SystemsCloud Computing (AWS/GCP)Microservices ArchitectureAPI DevelopmentNetworking

People Also Ask (FAQs)

What is the last date to apply for Software Engineer, Distributed Systems?

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

How do I apply for Software Engineer, Distributed Systems?

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 fal-ai 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 Software Engineer, Distributed Systems 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: Go, Distributed Systems, Cloud Computing (AWS/GCP), Microservices Architecture, API Development, Networking.

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