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Backend Developer Jobs in India

Backend engineering is where business logic, scale, and reliability meet. While frontend gets the visual credit, backends carry the load — payments that must be correct, queries that must be fast, services that must not go down. Companies pay for engineers who can build systems that don't fall over under load.

Backend engineering is where business logic, scale, and reliability meet. While frontend gets the visual credit, backends carry the load — payments that must be correct, queries that must be fast, services that must not go down. Companies pay for engineers who can build systems that don't fall over under load. This page lists active backend roles on Art of Code across the full language spectrum: Node.js, Python, Go, Rust, Java, Kotlin, PHP. Use the filter pills above to narrow by stack or seniority. Many roles are language-flexible — 'strong systems thinking, language adaptable.' What backend hiring teams care about in 2026: production experience with at least one async runtime, comfort with database design beyond ORMs, real-world experience with at least one queue or message bus, and the ability to debug a system you didn't write. AI-native backends are a growing category — expect more listings asking for vector DBs, embedding pipelines, and LLM API plumbing.

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Dodo Payments

Backend Engineer ( Rust )

Dodo PaymentsBanglore,India
Full TimeIn-Office

Frequently asked

Which backend language pays best in India in 2026?

Rust and Go pay highest at the senior tier — companies hiring for these languages have fewer candidates and higher willingness to pay. Python and Node.js have higher listing volume but more competition. Java still pays well at scale-ups and enterprise; bands are wider but range from ₹10L-₹70L+ depending on the company.

Do I need to know all of these languages?

No — depth in one beats breadth across many. Pick the language ecosystem that matches the kind of company you want to work at. Fintechs and infra startups: Rust, Go, Java. AI-native startups: Python. SaaS startups: Node.js or Python. Scale-ups can be any.

What experience level do most listings target?

Most active backend listings here target 2-5 years of experience. Junior roles (0-1 year) are listed but in lower volume — startups want shipped production experience. If you're a fresher, the strongest path is internships first (see /jobs/category/internships) and then full-time.

Are AI/ML engineering jobs different from backend jobs?

Overlapping but distinct. AI-native backends (vector DBs, RAG pipelines, LLM API plumbing) are listed under both backend and AI categories. Pure ML research / model training roles are separate — those are listed under AI/ML and require different skills (PyTorch, transformer architectures, etc.).

What database experience do hiring teams expect?

PostgreSQL fluency is the modern default — every serious backend role expects you to write SQL beyond `SELECT *`. Knowing one ORM (Prisma, SQLAlchemy, Sequelize) is normal. Bonus: Redis for caching, Kafka for events, and at least conceptual familiarity with sharding/replication for senior roles.

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