Position 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:

- 3+ 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.

- Consistent contribution to sprint goals and team initiatives.