Backend Engineering Intern (2027-2028)

Important: This is a hands-on, high-ownership internship with a ₹5,000/month stipend for students who want to work on real production backend systems and grow through direct feedback, responsibility and practical engineering experience.

Expected commitment: Approximately 25–30 hours per week for a minimum of 4 months.

About Auto Wisdom

Auto Wisdom is building automotive intelligence and digital products that help people make better decisions around cars, ownership and automotive services.

We are currently founder-led, which means you will work directly with the founder and get exposure to backend engineering, architecture, product decisions and the realities of building and operating production systems.

You will work on real APIs, data flows and backend systems used by real users — not isolated practice projects.

Why Join Us

At Auto Wisdom, you will:

• Ship production backend features using Go and PostgreSQL
• Work directly with the founder on engineering and architecture decisions
• Receive frequent technical and product feedback
• Work on APIs, authentication, data models, background jobs and production workflows
• Learn how backend, frontend, infrastructure and product decisions connect
• Own work from requirement understanding through implementation, review, QA and release
• Gain practical experience maintaining an existing production codebase

What You'll Do

• Build and maintain backend services in Go (Golang)
• Design and evolve REST APIs and their request/response contracts
• Work with PostgreSQL, relational data modelling, migrations and queries
• Build reliable background jobs and asynchronous workflows
• Work with Redis where caching, coordination or temporary state is required
• Implement authentication, authorization and secure account flows
• Handle transactions, retries, idempotency and failure recovery where required
• Debug frontend-backend integration and production issues
• Write tests for happy paths, failure paths and important edge cases
• Review existing architecture before introducing new services or patterns
• Participate in code reviews and architecture discussions
• Use Docker and existing deployment/CI workflows
• Document important APIs, decisions and implementation trade-offs

How We Work

We care about how you reason through a problem, not only whether the final API works.

You will be expected to:

• Understand the requirement, existing code and data flow before implementation
• Research unfamiliar concepts before deciding on an approach
• Break non-trivial work into a clear implementation plan before coding
• Identify dependencies, assumptions, risks and important edge cases early
• Investigate independently, but ask focused questions when you remain blocked
• Avoid staying silently confused or repeatedly trying fixes without understanding the cause
• Estimate tasks realistically and improve your estimates over time
• Respect agreed deadlines and communicate blockers or delays before the deadline
• Provide a clear revised ETA if a committed timeline needs to change
• Test and review your own changes before requesting code review
• Consider security, concurrency, data integrity, failure recovery and backward compatibility
• Take tasks through implementation, review, QA and final closure

AI-Assisted Development

We actively use modern AI development tools.

AI is welcome as an accelerator, not as a substitute for engineering understanding.

You must be able to:

• Explain the code and architecture decisions you submit
• Independently validate AI-generated code and recommendations
• Identify when an AI-generated solution does not fit the existing codebase or architecture
• Verify assumptions against the actual implementation and documentation
• Test and take responsibility for all AI-assisted work you submit

You should never submit backend code you cannot independently explain and validate.

What We Expect

• Strong fundamentals in Go (Golang)
• Good understanding of SQL, PostgreSQL and relational data modelling
• Understanding of REST APIs and frontend-backend integration
• Familiarity with Git and collaborative development workflows
• Ability to read and understand an existing codebase before modifying it
• Structured problem-solving rather than trial-and-error implementation
• Ability to explain technical decisions and implementation trade-offs
• Good debugging, testing and self-review habits
• Awareness of security and data-integrity concerns in backend systems
• Willingness to ask focused questions when genuinely blocked
• Realistic task estimation and respect for agreed deadlines
• Proactive communication when blockers or timelines change
• Openness to direct code-review feedback and the ability to apply it consistently

Bonus Points

• Experience with GORM or another Go ORM
• Experience with Redis
• Knowledge of Docker and containerized applications
• Experience with background jobs, queues or worker systems
• Understanding of transactions, concurrency and idempotency
• Knowledge of OAuth 2.0, JWT or session-based authentication
• Familiarity with CI/CD and production deployment workflows
• Exposure to Supabase, Railway, DigitalOcean, Cloudflare or similar platforms
• Interest in system design, reliability and scalable backend systems
• Deployed backend projects, internships or open-source contributions
• Interest in cars, automotive technology or mobility

Eligibility

• Students pursuing B.Tech, B.E. or a related technical degree
• Preferably graduating in 2027 or 2028
• Minimum 4-month availability
• Able to commit approximately 25–30 hours per week
• Candidates from all colleges are welcome — practical engineering ability matters more than college brand

Stipend

₹5,000 per month

What You'll Gain

• Direct exposure to founder-led backend and architecture decisions
• Ownership of production APIs and backend workflows
• Frequent technical and product feedback
• Experience with real code-review, QA and release processes
• Practical experience with production databases, APIs and asynchronous systems
• ₹5,000/month stipend
• Letter of recommendation based on performance
• Priority consideration for future internships or full-time opportunities based on performance and business needs

Ready to Apply?

Share your GitHub profile and one backend project you are genuinely proud of.

Tell us:

• What you personally built
• What you owned end-to-end
• How you designed the API or data model
• One difficult backend problem you faced
• How you investigated and solved it
• How you tested that your solution was actually correct