Software Development Engineer

Key Responsibilities:

• Scalable System Design: Architect and build highly scalable, secure, and fault-tolerant systems that support millions of daily transactions with 99.99% uptime, while enabling continuous and rapid deployments across new business lines.

• Full-Stack Development: Design and implement features end to end - responsive, performant React frontends; robust FastAPI backend services; and well-modelled PostgreSQL data layers - delivering cohesive, maintainable code that enhances the user experience.

• Backend & API Engineering: Build clean, well-documented REST/async APIs in FastAPI, with sound patterns for authentication/authorization, pagination, validation, and error handling, optimized for minimum latency and high throughput.

• Frontend Engineering: Develop modular, reusable React components and front-end architecture (state management, routing, code-splitting), collaborating with product and design to translate requirements into intuitive interfaces.

• Data Layer & Persistence: Design schemas, indexes, and query patterns in PostgreSQL (including geospatial workloads via PostGIS) to ensure optimal performance and scalability for read- and write-heavy operations.

• Cloud & Infrastructure: Build, deploy, and operate services on AWS, using managed services, containers, and infrastructure-as-code, with attention to cost, security, and observability.

• Performance Optimization: Identify and address bottlenecks across the stack - frontend rendering, API latency, database queries, caching - using profiling, indexing, partitioning, and parallelization to keep workloads fast at scale.

• Quality & Reliability: Produce quality code that raises the bar for the whole team on quality and speed. Implement automated testing, CI/CD, monitoring, alerting, and rollback strategies to ensure correctness and resilience in production.

• Engineering Planning & Design: Contribute to the long-term technology roadmap, participate in sprint planning, retrospectives, and design reviews, and regularly communicate progress and trade-offs with stakeholders, product managers, and other developers.

• Mentorship & Team Development: Mentor and coach engineers, raise engineering standards through code reviews and design guidance, and help define career growth paths for team members.

• Collaboration & Communication: Coordinate across teams to understand user requirements and provide technical solutions. Communicate findings, insights, and technical decisions effectively to both technical and non-technical stakeholders.

Requirements:

Must-have:

• Bachelor's or Master's degree in Computer Science or a related field.
• 6-9 years of software development experience, with a track record of deploying and operating systems in production.
• Proven experience designing highly scalable, distributed systems with high availability and low latency.
• Strong full-stack engineering skills across React (frontend), FastAPI / Python (backend), and PostgreSQL (data layer).
• Hands-on experience building and operating applications on AWS (compute, storage, networking, managed databases, containers).
• Solid understanding of system design, API design, RDBMS and NoSQL databases, caching, and asynchronous/event-driven patterns.
• Strong fundamentals in data structures, algorithms, testing, CI/CD, and observability.
• Strong knowledge of Scrum or Agile frameworks such as Kanban, Crystal, etc.
• Strong analytical and problem-solving skills, with the ability to work on large, complex systems.

Good-to-have:

• Experience with GIS / geospatial development — PostGIS and spatial queries, geospatial formats/standards (GeoJSON, Shapefile, KML, GeoParquet, STAC), and libraries such as GDAL, Rasterio, GeoPandas, Shapely, Fiona, Xarray.
• Familiarity with mapping/visualization libraries (Mapbox, MapLibre, Leaflet) and distributed execution frameworks (Dask, Ray).
• Exposure to data engineering tooling such as Apache Airflow, Apache Spark (Sedona), and lakehouse formats like Apache Iceberg, including productionising data science / ML workflows.
• Experience with cloud-native and infrastructure-as-code practices (containers, Kubernetes, Terraform).
• Experience building AI / LLM-powered applications — agentic systems, RAG, tool/function calling, and prompt engineering, including frameworks like LangGraph (multi-agent orchestration, stateful workflows) and Temporal (durable, fault-tolerant workflow orchestration).

Benefits:

• Medical health cover for you and your family, including unlimited online doctor consultations
• Access to mental health experts for you and your family
• Dedicated allowances for learning and skill development
• Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, and bereavement leaves

Interview Process:

• Intro call
• Assessment
• Interview rounds (ideally up to 3-4 rounds)
• Culture Round / HR round