Full Stack Software Engineer

Team: Reports into US-based Engineering Team

Overview

• We are seeking a highly capable Full Stack Software Engineer to build and maintain scalable, high-quality web applications using NodeJS, React, and TypeScript.
• This role works closely with a US-based engineering team, along with design and QA, to deliver customer-facing features with a strong emphasis on quality, performance, and maintainability.
• Our platform includes spatial data and mapping workflows, so candidates with GIS or geospatial experience are a strong plus.

Key Responsibilities

• Full Stack Development
• Design, develop, and maintain full stack features using NodeJS, React, and TypeScript
• Build and consume RESTful APIs with a focus on performance and reliability
• Implement responsive, accessible UI components with high fidelity to product designs and UX standards
• Collaborate with Product and Technical Product Managers to clarify requirements and edge cases Backend & API Development
• Develop scalable backend services using NodeJS
• Design and maintain data models, business logic, and API contracts
• Ensure security, performance, and reliability across backend services
• Write unit and integration tests to validate backend functionality Frontend Development
• Build modern React applications using TypeScript and best practices (hooks, state management, component architecture)
• Translate designs into high-quality, high-fidelity user interfaces
• Optimize frontend performance and ensure cross-browser compatibility Engineering Excellence
• Write clean, maintainable, and well-tested code across the stack
• Participate in code reviews and contribute to shared engineering standards
• Collaborate with QA on test planning, bug fixes, and release readiness
• Identify and reduce technical debt while improving system reliability Collaboration & Communication
• Work effectively with a distributed US-based team through clear documentation and async communication
• Participate in sprint planning, standups, reviews, and retrospectives
• Communicate progress, blockers, and risks clearly via Jira and team channels

Required Qualifications

• 5+ years of professional experience as a Full Stack Software Engineer
• Proven experience developing with AI coding tools (e.g., Claude Code, Cursor, Copilot, or agentic workflows) and getting real leverage from them without sacrificing code quality
• Strong experience with NodeJS, React, and TypeScript in production environments
• Experience building and consuming APIs (REST preferred; GraphQL a plus)
• Proficiency with modern frontend tooling and build systems
• Solid understanding of relational (SQL/PostgreSQL) and NoSQL (MongoDB) databases
• Experience with Git-based workflows and Jira
• Strong problem-solving skills and attention to detail
• Excellent written and verbal communication skills in English
• Comfortable working with distributed teams across time zones Preferred / Bonus Qualifications AI / LLM
• Experience building or integrating AI/LLM features into product, including API integration, prompt design, and reliably handling model outputs
• Understanding of AI/ML concepts relevant to software engineering: embeddings, vector search, RAG, function calling, and evaluation strategies
• Familiarity with vector databases (pgvector, Pinecone, Weaviate, or similar)
• Experience fine-tuning, evaluating, or deploying ML models in production GIS / Geospatial
• Experience working with spatial data, maps, or geolocation services
• Familiarity with tools such as PostGIS, ESRI, GeoJSON, Mapbox, Leaflet, or similar Infrastructure & Practices
• Experience with cloud platforms (AWS or similar)
• Experience with CI/CD pipelines and automated testing
• Familiarity with Agile/Scrum methodologies
• Understanding of performance optimization and security best practices

Working Hours & Flexibility

• This role requires a 34 hour daily overlap with US Eastern Time.
• In practice, this means availability through roughly the late evening IST (e.g., until -10:00 PM IST / 12:30 PM ET).
• The candidate should be comfortable with occasional early-morning or late-evening meetings to support cross-team collaboration.
• Success Metrics
• High-quality features delivered on time and aligned with acceptance criteria
• Low defect rates and minimal rework during QA and UAT
• Positive feedback from Engineering, Product, Design, and QA teams on collaboration
• Well-tested, maintainable code across frontend and backend
• Consis…