About Goodlight AI

Goodlight AI Recruitment

Job Role: Software Engineer

Qualification: Bachelors / Masters Degree

Experience: 0-2 years 

Batch: 2025 / 2024 / 2023 / 2022

Salary: Not disclosed 

Job Location: Remote

Last Date: ASAP

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About the role

You will be working with a small, highly productive, and independent team spread across the world. The role is fully remote with at least 5 hours overlap with India time and occasional collaboration across U.S., Brazil, and Singapore time zones. Expect hands-on work across APIs, React frontends, data-backed features, and AI-assisted workflows.

What you’ll do

• Build and ship polished customer-facing features in React/NextJS with a strong emphasis on accessibility, cross-browser consistency, pixel-level detail, and performance budgets.
• Integrate REST/GraphQL APIs and data services; handle auth, rate limits, pagination, schema changes, and resilience patterns.
• Develop and maintain backend services using Python, Flask, and Celery for asynchronous task processing and distributed job queues.
• Connect to retailer systems (POS, CRM, ERP, data warehouses) to surface explainable insights and personalized offers in the product UI.
• Develop components and internal tools that help design and deploy targeted, margin-aware promotions and segmentation workflows.
• Collaborate with product, design, and data/ML engineers to translate purchase-behavior models and personas into usable UX, A/B experiments, and measurable outcomes.
• Use AI APIs and AI assistants in daily work (code generation, refactoring, tests, documentation) to accelerate delivery while maintaining code quality.
• Participate in code reviews, write tests, and contribute to a clean component library and shared standards.
• Operate in a remote-first cadence with clear async communication and at least 5 hours overlap with India; join occasional off-hours meetings with U.S., Brazil, and Singapore stakeholders.

Minimum qualifications

• 1–3 years of professional experience building production web applications with React, modern JavaScript/TypeScript, and component-driven development.
• Strong attention to detail in frontend execution: layout, responsive behavior, design systems, accessibility, and micro-interactions.
• Proficiency integrating APIs (REST/GraphQL), handling errors/retries, and working with JSON schemas and API clients.
• Experience with databases (SQL or NoSQL) and basic data modeling for feature development and reporting views.
• Experience with Apache Airflow for workflow orchestration and Kafka for event streaming and real-time data processing is a plus.
• Exposure to high-volume notification workflows and implementing scalable messaging systems is preferred.
• Comfortable using AI tooling (e.g., AI code assistants, AI APIs) to speed up development, testing, and docs.
• Remote-ready collaboration skills: async updates, crisp written communication, and reliable delivery across time zones with 5-hour India overlap.

Nice to have

• Experience with retailer tech stacks (POS, CRM, ERP) or data pipelines connecting transactional systems to analytics layers.
• Familiarity with personalization, segmentation, experimentation (A/B, holdouts), or uplift modeling concepts.
• Exposure to GraphQL, React Query/TanStack Query, Redux Toolkit/Zustand, Tailwind/Chakra, and testing frameworks (Jest, RTL, Playwright/Cypress).
• Comfort with cloud environments and CI/CD for frontends and API services.

What success looks like in 90 days

• Ship 1–2 customer-facing features that improve basket-size-driving UX, with measurable quality (lighthouse, CLS, TTI) and zero-sev production stability.
• Integrate at least one external data source/API into a usable, explainable UI flow for offers or retention triggers.
• Demonstrate consistent use of AI tools to reduce cycle time for docs, tests, and refactors without sacrificing code readability.

Working model

• Fully remote. Must maintain a minimum 5 hours/day overlap with India Standard Time to collaborate with the core engineering team.
• Comfortable with occasional meetings aligned to U.S., Brazil, and Singapore time zones as needed for customers and partners.