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Location: India; Bangalore; Hyderabad; Pune; Indore; Mohali; New Delhi
About Smart Working
At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.
Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.
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About the Role
As a Backend Engineer (Python), you will contribute to building an AI-native cybersecurity platform, helping customers operate and manage their own fleets of AI agents. You will develop backend systems supporting security detection, investigation and AI-assisted resolution.
You will join a team of 14+ engineers across Backend, DevOps, Endpoint, Frontend and Design, reporting to the VP of Engineering and AI. The team follows a flat structure and a single-owner model, with one engineer per discipline per project.
This role is suited to an autonomous, customer-focused engineer who takes end-to-end ownership, collaborates effectively and uses AI to deliver high-impact solutions.
Responsibilities
Requirements
Nice to Have
From live job posts on CoreHRx, updated 12 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹25L a year (typical for IT Jobs in India, 825 posts).
The post asks for 5 Yrs experience.
It is a remote job.
It is a full time job.
Interview preparation · 60 questions
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
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