As a Software Development Engineer 3, your primary responsibility is to design, build, and operate highly scalable, full-stack software systems that power SatSure's geospatial products end to end. You will own significant parts of the platform - from React frontends to FastAPI services to PostgreSQL data layers running on AWS - and work closely with cross-functional teams, including product managers, data engineers, geospatial analysts, and other software engineers, to ship reliable software that scales to millions of daily transactions with high availability.
About SatSure
SatSure is a deep tech, decision intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action, creating impact for the other millions and focusing on the developing world. We want to make insights from earth observation data accessible to all.
If you are interested in working in an environment that focuses on impact on society, driven by cutting-edge technology, and where you will be free to work on innovative ideas and be creative with no hierarchies, SatSure is the place for you.
Key Responsibilities:
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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.
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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.
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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.
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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.
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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.
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Cloud & Infrastructure: Build, deploy, and operate services on AWS, using managed services, containers, and infrastructure-as-code, with attention to cost, security, and observability.
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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.
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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.
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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.
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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.
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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:
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Bachelor's or Master's degree in Computer Science or a related field.
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6-9 years of software development experience, with a track record of deploying and operating systems in production.
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Proven experience designing highly scalable, distributed systems with high availability and low latency.
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Strong full-stack engineering skills across React (frontend), FastAPI / Python (backend), and PostgreSQL (data layer).
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Hands-on experience building and operating applications on AWS (compute, storage, networking, managed databases, containers).
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Solid understanding of system design, API design, RDBMS and NoSQL databases, caching, and asynchronous/event-driven patterns.
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Strong fundamentals in data structures, algorithms, testing, CI/CD, and observability.
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Strong knowledge of Scrum or Agile frameworks such as Kanban, Crystal, etc.
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Strong analytical and problem-solving skills, with the ability to work on large, complex systems.
Good-to-have:
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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.
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Familiarity with mapping/visualization libraries (Mapbox, MapLibre, Leaflet) and distributed execution frameworks (Dask, Ray).
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Exposure to data engineering tooling such as Apache Airflow, Apache Spark (Sedona), and lakehouse formats like Apache Iceberg, including productionising data science / ML workflows.
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Experience with cloud-native and infrastructure-as-code practices (containers, Kubernetes, Terraform).
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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).
The role of a Software Development Engineer 3 is crucial in enabling SatSure to build and scale the platforms that turn earth observation data into accessible insights across applications including agriculture, infrastructure, climate action, urban planning, and environmental monitoring.
Benefits:
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Medical health cover for you and your family, including unlimited online doctor consultations
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Access to mental health experts for you and your family
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Dedicated allowances for learning and skill development
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Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, and bereavement leaves
Interview Process:
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Intro call
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Assessment
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Interview rounds (ideally up to 3-4 rounds)
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Culture Round / HR round
