Senior Full Stack Engineer – Growth Pod

Nivoda is the operating system for the global jewellery industry, connecting diamond and gemstone suppliers directly with jewellery retailers across more than 70 countries through a single digital marketplace. The Growth Pod is responsible for the journey from a business discovering Nivoda to becoming a valuable customer, including sign-up, onboarding, verification, activation and account engagement. The Senior Engineer will own both backend systems and front-end experiences that turn a new sign-up into an active, paying customer, working closely with Product, Data and Risk. Tech stack includes React/Next.js, TypeScript/Node.js, GraphQL API gateway, Nx monorepo with PNPM, OpenSearch, PostgreSQL, Snowflake, Spark/EMR/Glue, AWS, Jenkins, Keycloak, Okta and Grafana.

Responsibilities

Build and ship React/Next.js interfaces for sign-up, onboarding, verification, discovery and checkout; Partner with Design and Product to turn funnel insights into UI changes and test them; Own front-end performance, accessibility and analytics instrumentation for the funnel; Build reusable components in the MUI design system that represent the Nivoda brand; Own and evolve the backend services behind onboarding, verification, activation and the sign-up-to-purchase funnel, most likely in TypeScript/Node.js; Design and build event-driven, workflow-orchestrated systems that evaluate account state continuously (activation, slipping, winback, lapsed, churned) and trigger actions automatically; Integrate with third-party identity verification, KYB/KYC and fraud/risk providers, ensuring resilience, monitoring and safe failure; Handle credit and payment data responsibly as part of personalization and reactivation logic; Design and run experiments, including guardrail metrics, for referral incentives, reactivation offers and onboarding changes; Write SQL and work directly in the warehouse (Snowflake or similar) for cohort analysis, time-to-activation and time-to-churn diagnosis; Take on problems without an established playbook, such as a credit utilization gap or a signup-to-purchase conversion decline; Use AI agents to accelerate building and testing, with extra care reviewing credit, payment or verification logic; Use AI to draft and sanity-check analytical queries while owning verification of results; Critically evaluate AI-generated output such as messaging, reactivation copy and churn-cause suggestions

Requirements

4-7 years of experience; Strong full stack product engineering experience, with real ownership of customer-facing, production features, from UI to service; Deep experience with React/TypeScript and modern front-end practices (state management, performance, accessibility, testing); Genuine experimentation rigor, including guardrail metrics and telling real results from noise; Experience with, or appetite for, workflow orchestration (workflow engines or event pipelines that evaluate state continuously and trigger actions automatically); Strong SQL and warehouse fluency (Snowflake or similar) for cohort and funnel analysis; Comfort using AI agents to build and test software and to draft and sanity-check analytical work; High tolerance for ambiguity; Practical fluency evaluating AI-generated output for fitness before it ships; Submit CV in English

Nice to have

Direct experience integrating with identity verification, KYB/KYC, or fraud and risk providers; Fintech-adjacent experience handling credit, payment, or other sensitive financial data responsibly; Experience in a high-growth marketplace or fintech environment with similar account lifecycle complexity; Familiarity with workflow/orchestration tooling such as Temporal, AWS Step Functions, or event-streaming platforms like Kafka

Benefits

Flexible working hours; Remote-first culture; Real opportunities for growth and learning; Unlimited holiday allowance; The chance to join during an exponential expansion phase; Real ownership from day one