
Staff Engineer
GoKwik
Posted 2026-06-29
INR 7,000,000 - INR 9,000,000 per year
Tech & Engg
Job Description
Ovii's Interpretation of the Role
GoKwik seeks a Staff Engineer to define and scale high‑throughput checkout, payments, and merchant systems. You will own architecture, reliability, and AI‑native engineering practices that serve millions of shoppers worldwide.
Role Snapshot
- Architect high‑scale checkout & payments platforms
- Lead AI‑native system design and delivery
- Own production reliability, observability, and incident response
- Set multi‑quarter technical vision and roadmap
- Collaborate with product, business, and merchant success teams
Must-Have Requirements
- Distributed systems design
- Backend development (Go/Java/Node.js/Python)
- Cloud platforms (AWS/GCP) and Kubernetes
- Relational/NoSQL databases, Kafka/SQS, Redis
- Observability stacks
- AI/GenAI production (LLM, RAG, embeddings, vector DB)
- hands‑on engineering at scale
- distributed systems
- AI/GenAI production
Nice-to-Have Signals
- AI tooling familiarity (Cursor, Codex, Claude)
Work Setup
- Location: Gurugram, India
- Work mode: ONSITE
- Employment type: Full-Time
Eligibility Gates
- Visa sponsorship: unknown
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
- Relocation
- Notice period
- Coding test
- Portfolio
- GitHub
- Writing sample
- Cover letter
What You'll Likely Work On
- Design and build distributed, high‑throughput systems for checkout, payments, and merchant experiences
- Define and drive multi‑quarter architectural vision, including service decomposition and latency reduction
- Implement AI‑powered workflows such as LLM‑driven agents, copilots, and intelligent merchant tools
- Establish and maintain observability, SLOs, and post‑mortem processes for critical services
- Lead by example with hands‑on coding, rigorous design reviews, and mentorship of engineering peers
- Partner with product, business, and merchant success teams to translate business problems into scalable technical solutions
Good Fit If You Have
- Experience in fintech, payments, eCommerce, or SaaS domains
- Hands‑on work shipping GenAI or LLM‑powered production systems
- Familiarity with AI tooling such as Cursor, Codex, or Claude
- Strong ownership mindset and proven production‑scale operations
Skills
- Distributed systems design
- Backend development (Go/Java/Node.js/Python)
- Cloud platforms & container orchestration (AWS/GCP, Kubernetes)
- Data stores & messaging (relational, NoSQL, Kafka/SQS, Redis)
- Observability, SLOs & monitoring
- AI/GenAI engineering (LLM, RAG, embeddings, vector DB)
- Scalable infrastructure & latency reduction
- Production reliability & incident management