Overview

Hiring an Associate Member of Technical Staff (L2) | Software Engineer, Product.

Responsibilities

• Design, build, test, and ship customer-facing product features across web and, where applicable, mobile.
• Work across frontend, backend, APIs, integrations, data flows, and async workflows.
• Convert product requirements into clear technical implementation plans.
• Build features that are reliable, maintainable, observable, and easy to iterate on.
• Own medium-sized features or modules from requirement understanding to rollout and post-launch validation.
• Collaborate with senior engineers on larger architectural changes, migrations, and system-level improvements.
• Build responsive, performant, and production-grade interfaces using React.js, Next.js, JavaScript/TypeScript, and modern frontend practices.
• Translate product and design requirements into clean, reusable, and maintainable UI components.
• Handle state management, API integration, loading states, error states, empty states, and edge cases thoughtfully.
• Ensure user flows work across devices, browsers, screen sizes, and real-world usage conditions.
• Pay attention to UX details, performance, accessibility basics, and product polish.
• Build and maintain backend services using Node.js, Express.js, and related frameworks.
• Design and implement APIs that are clean, secure, well-structured, and easy to consume.
• Work with database systems for data modeling, querying, indexing, and performance-conscious implementation.
• Build and maintain async/event-driven workflows.
• Implement integrations with internal systems, third-party APIs, AI services, storage systems, billing systems, analytics, and operational tools where required.
• Think through reliability, idempotency, retries, failure handling, and data consistency in backend workflows.
• Work with cloud services used across the product and infrastructure.
• Help improve logging, metrics, alerts, dashboards, and operational visibility.
• Debug production issues with structured thinking and clear communication.
• Support deployments, rollbacks, release checks, and incident follow-ups.
• Build with production realities in mind: latency, scale, failure modes, security, cost, and maintainability.
• Use AI coding tools responsibly in day-to-day development for code generation, refactoring, debugging, documentation, test case creation, and code review support.
• Apply strong engineering judgment when using AI-generated code.
• Review, test, and understand code before shipping it.
• Use AI to increase speed and coverage, not to bypass technical thinking.
• Experiment with better development workflows and share useful learnings with the team.
• Work closely with product, design, QA, growth, and engineering to clarify requirements and ship better product outcomes.
• Communicate trade-offs early around time, scope, quality, technical debt, and dependencies.
• Surface blockers, risks, delays, or unclear requirements before they become release problems.

Qualifications

• 2+ years of professional software engineering experience shipping production software.
• Strong hands-on proficiency in React.js, Next.js, Node.js, Express.js, JavaScript, and TypeScript.
• Ability to build full-stack product features across frontend, backend, APIs, and data flows.
• Strong debugging skills across browser, API, backend, database, and production environments.
• Good understanding of data structures, algorithms, system design basics, and software engineering fundamentals.
• Ability to write clean, modular, readable, and maintainable code.
• Understanding of REST APIs, authentication basics, validation, error handling, and secure coding practices.
• Ability to reason about edge cases, failure states, performance, and production behavior.
• Hands-on experience using AI coding tools in real development workflows.
• Strong ownership mindset, especially around timelines, risks, blockers, quality, and follow-through.
• Clear written and verbal communication skills.
• Familiarity with SQS, async consumers, queue retries, dead-letter queues, and event-driven architecture.
• Strong MongoDB data modeling, indexing, aggregation, and query optimization experience.
• Familiarity with CI/CD, deployment workflows, rollback strategies, and release management.
• Basic understanding of analytics/event tracking and how product usage data informs decisions.
• Familiarity with automated testing tools and practical testing strategy.
• Comfort working in a fast-moving startup environment where product, engineering, and business context evolve quickly.
• Mobile: Flutter, Dart, optional but valuable.
• Frames the problem before jumping into code.
• Builds features that work under real customer conditions.
• Communicates risks, blockers, and trade-offs early.
• Ships at a good pace without creating unnecessary quality debt.
• Writes code that other engineers can understand, review, extend, and maintain.
• Tests major paths, edge cases, and failure states before calling work complete.
• Uses AI tools well, but does not outsource judgment to them.
• Collaborates well with product, design, QA, and engineering.
• Carries work to closure instead of leaving loose ends.
• Tracks what happens after shipping and learns from production behavior.
• Makes the product and the engineering system more reliable over time.
• We work in cross-functional teams across engineering, product, design, QA, growth, and operations.

Nice to have

• Familiarity with Flutter/Dart.