Software Engineer

Company Description
PerigonAI is a leading geospatial AI company offering platform solutions and bespoke consultancy services across retail, F&B, real estate, smart cities, and urban planning.

Our Big Data Lake, geospatial data analytics, and ML & AI engines help clients solve real-world business problems globally.

We combine cutting-edge technology with deep domain expertise to transform complex spatial data into actionable business intelligence.
Job Description
We're seeking a talented Software Engineer to join our engineering team in building and scaling our next-generation geospatial AI platform.

You'll work on challenging problems involving large-scale data processing, spatial analytics, and interactive visualizations that power critical business decisions for clients worldwide.
As part of our engineering team, you'll be developing solutions that handle billions of geospatial data points, building intuitive dashboards and analytics tools, and working with modern cloud infrastructure.

You'll collaborate closely with our head of engineering and contribute to both the technical architecture and implementation of features that directly impact our clients' success.
This role is currently remote based in Bangalore, India (or candidates willing to relocate), with the possibility of transitioning to a hybrid work arrangement in the future.
Responsibilities
Design, develop, and maintain features for our geospatial analytics platform using React.js, TypeScript, and Node.js
Build and optimize RESTful APIs and microservices that process and serve geospatial data at scale
Work with PostgreSQL/PostGIS to design efficient spatial queries and data models
Implement interactive map visualizations and data exploration tools
Develop data processing pipelines for ingesting and transforming large geospatial datasets
Collaborate with the engineering team on architecture decisions and technical roadmap
Write clean, maintainable, well-tested code following best practices
Participate in code reviews and contribute to team knowledge sharing
Optimize application performance and resolve technical challenges
Work with AWS infrastructure and deployment pipelines
Qualifications
Required:
2+ years of professional software development experience
Strong proficiency in React.js and modern frontend development practices
Solid Node.js backend development experience (Express, Fastify, or similar frameworks)
Bachelor's degree in Computer Science Engineering or related engineering discipline (B.Tech/BE)
Advanced TypeScript knowledge with strong typing practices
Strong computer science fundamentals and problem-solving abilities
Understanding of RESTful API design principles
Experience with Git and collaborative development workflows
Ability to write clean, maintainable code with appropriate testing
Strongly Preferred:
Hands-on experience with PostgreSQL database design and optimization
Experience with Redis or other caching/in-memory data stores
Experience with GIS technologies and geospatial data (PostGIS, GeoJSON, spatial queries)
Familiarity with map visualization libraries (Mapbox, Leaflet, DeckGL, or similar)
Experience with tile-based GIS and map rendering technologies
Experience with AWS services (EC2, RDS, S3, or similar)
Knowledge of containerization and orchestration (Docker, ECS/Fargate)
Experience with Infrastructure as Code tools (Terraform, Pulumi, CloudFormation)
Understanding of spatial data formats and coordinate systems
Experience with data processing and ETL pipelines
Experience with testing frameworks (Jest, React Testing Library, etc.)
Background in working with location-based analytics or mapping products
Nice to Have:
Knowledge of spatial indexing and optimization techniques
Familiarity with geospatial analysis libraries and tools
Experience with data visualization frameworks (D3.js, Recharts, etc.)
Understanding of hexagonal spatial indexing systems
Contributions to open-source projects
Bachelor's degree in Computer Science or related field
What We Offer
Opportunity to work on cutting-edge geospatial technology
Remote-first work culture with flexible hours
Collaborate with a talented engineering team solving complex problems
Direct impact on product direction and technical decisions
Exposure to diverse industries and use cases (retail, real estate, urban planning)
Professional growth opportunities in a fast-growing company