Cosmofeed
Website:
cosmofeed.com
Job details:
Staff Software Engineer (SDE-3)
2 openings · Cosmofeed / SuperProfile.bio · Gurgaon
About the role
SuperProfile helps thousands of creators run their businesses — payments, memberships, courses, and bookings — on a platform handling 500M+ requests a day. We're a small, senior engineering team, and we're hiring two Staff Engineers to own major parts of the product end-to-end.
What you'll do
- Own significant systems from design to production — you'll build it, ship it, and run it.
- Work across the full stack and the infrastructure behind it, with no handoffs over the wall.
- Build in high-stakes areas like payments and AI-powered products, where correctness and reliability genuinely matter.
- Set the technical bar and mentor a small team of strong engineers.
Tech stack
Languages: Node.js, Go, TypeScript, Python
Frontend: React, Next.js
Databases & storage: MongoDB, Redis, DragonflyDB, S3 / R2
Search & analytics: OpenSearch, Druid / Imply, Mixpanel
Messaging & jobs: Kafka, SQS, BullMQ
Cloud & infra: GCP, GKE / Kubernetes, AWS, Cloudflare, Vercel, Docker
Payments: Stripe, PayPal, Razorpay, Cashfree, Paytm
Integrations: Meta / Instagram, WhatsApp, Telegram, Discord, Shopify, Google Workspace, Zoom, YouTube, Slack, Zoho, Vimeo, Digio, SES / Mailjet
AI: LLM-based text & voice agents (Claude, OpenAI), Claude Code
What we're looking for
- 4–8 years of experience as a Software Engineer, with a track record of building and operating production systems end-to-end across application code, data, and infrastructure.
- Strong fundamentals in distributed systems, databases, and reliability — you design for failure, not just the happy path.
- Comfort across the stack: backend, modern frontend when needed, and cloud infrastructure.
- Experience building AI-enabled applications in production (LLMs and/or classical ML), including prompt engineering, tool orchestration, retrieval (RAG), evaluation, and continuous iteration based on real-world user feedback.
- Real, hands-on experience building AI agents from scratch — text and voice — beyond simply calling an API.
- Strong expertise with Claude Code, Cursor, or similar AI coding agents; you use them daily to multiply your engineering output.
- Strong production-readiness instincts, including observability, monitoring, quality gates, incident response, and safe rollout/rollback strategies for live business workflows.
- A track record of shipping pragmatic, maintainable, and secure code, with reliability, performance, and cost treated as first-class concerns.
- Experience mentoring engineers, driving technical decisions, and raising the engineering bar.
Why this version is stronger
- 4–8 years is more targeted than the previous 6+ years, giving you access to stronger senior ICs without excluding exceptional candidates.
- "AI-enabled applications in production" is more valuable than just "AI agents" because it captures engineers who've shipped LLM products, RAG systems, copilots, or ML-backed workflows.
- Explicitly mentioning retrieval, evaluation, observability, incident response, and safe rollouts attracts engineers who've operated AI systems in production—not just experimented with them.
- Mentioning Cursor alongside Claude Code broadens the candidate pool while still signaling your expectation that engineers are AI-native.
Why this role
- Real ownership and real impact — your work reaches creators and moves real money from day one.
- A lean, high-leverage team with minimal process and a high degree of autonomy.
- Hard problems at scale, alongside people who hold a high bar
Click on Apply to know more.