GrowthX gives India’s most ambitious professionals an unfair career advantage by stacking high-paying jobs, AI-powered learning, and a curated network in one platform.
We’re a profitable company, backed by the largest seed round in the world with 212 angel investors. Over 4,000+ operators and leaders from Apple, TikTok, Spotify, Slack, Netflix, Zoom, Google, Swiggy, and Microsoft use GrowthX products.
The founders were product & growth leaders at Razorpay and CRED. The team today is a diverse group of ex-founders, growth leaders, PhD researchers, game designers, and artists—united by the ambition to build the career infrastructure of India.
why this role exists
We're building the career infrastructure for India’s most ambitious professionals—DreamRole (job marketplace), GrowthX Learning (career acceleration), and Membership (network effects). As we scale AI-first products across these layers, we’re looking for backend engineers who care about clean abstractions, high-throughput systems, and production-grade reliability.
This role sits at the core of our infra—APIs, data models, workflows—and is designed to be a launchpad into tech leadership.
what you'll do (0–6 months)
You'll start by owning a subsystem—one that's critical but scoped to give you autonomy fast.
- Design and implement REST APIs & services in Express (4/5) or Fastify
- Own data models—MongoDB (GrowthX) or PostgreSQL (DreamRole via Drizzle)
- Build features with cross-functional partners across AI, LX and Community
- Contribute to our transition to stateless services, event-based infra and RAG workflows
- Run blameless incident reviews, write SLOs, improve dashboards (New Relic, Datadog)
- Collaborate in RFCs, design docs, and progressively raise engineering quality
what you'll likely own (6–12 months)
You’ll level up into leading workstreams that impact full product verticals:
- Architect high-throughput services (e.g., async job-match engine, LLM-based enrichment pipelines)
- Help productionise AI features (LLMs, vector DBs, hybrid search across Qdrant + Mongo)
- Deepen observability and developer velocity systems (OpenTelemetry, CI gates, auto-sync OpenAPI specs)
- Push critical backend infra upgrades (e.g., Redis pub/sub, ECS-native containerization, unified logging)
- Mentor newer devs and drive subsystem-wide refactors
your team will value you for
- Obsession with clean, maintainable code
- Bias for clear data models and forward-compatible schemas
- Ability to unblock others (through tooling, reviews, mentoring)
- Curiosity in understanding how systems fail—and proactively fixing them
- Comfortable pushing back with clarity when product asks are vague or over-scoped
our stack (and where we’re headed)
| layer | stack | direction |
|---|
| Backend | Express 4/5, Joi, MongoDB, PostgreSQL, Drizzle, Websockets (Hocuspocus) | Modular Fastify, Zod, native Mongo driver, Rust for perf paths, Redis pub/sub |
| Infra | Elastic Beanstalk (legacy), ECS, Neon, Vercel | Container-native infra (ECS/Fly.io), Terraform, auto-scaling pipelines |
| AI & Data | OpenAI, Gemini, Mongo enrichment, LlamaIndex, Qdrant | Hybrid RAG, finetuned Gemini/Mistral, unified memory graph |
| DevX | Turborepo, Bun/npm, Hey API, Prettier/ESLint | Storybook, Playwright, auto-sync OpenAPI FE/BE, monorepo governance |
Tech-agnostic? Yes. We care about systems thinking, execution hygiene, and speed of learning. Your past tech is just a starting point.
qualifications (don’t self-reject)
- 3-6 years backend experience in production systems
- You’ve worked with at least one major database (Mongo, Postgres, Redis, etc.)
- You’ve shipped services end-to-end—design, implement, monitor
- Experience working in fast-paced teams or startups a bonus
- Bonus: experience with LLMs, OpenAI APIs, or vector search
how we work
- Small, high-agency team (you’ll ship Day 1)
- Async-first, but high-context over Slack and Notion
- Clear ownership across product pods (Learning, DreamRole, Community, etc.)
- Fast iterations—think days, not quarters
- High trust, high expectation culture