Design, build, and operate highly scalable backend and full-stack systems supporting SatSure’s geospatial products. Responsibilities include FastAPI services, PostgreSQL/PostGIS data layers, REST and asynchronous APIs, AWS cloud infrastructure, data pipelines, performance optimization, automated testing, CI/CD, observability, and system reliability. The role also contributes to AI/LLM features, geospatial capabilities, technical planning, cross-functional collaboration, and mentoring engineers.
As a Software Development Engineer 3, your primary responsibility is to design, build, and operate highly scalable backend systems — together with the AI and data-engineering capabilities built on top of them — that power SatSure's geospatial products end to end. You will own significant parts of the platform, from FastAPI services and PostgreSQL/PostGIS data layers on AWS to LLM-powered features and data pipelines (with React front-ends where needed), working closely with cross-functional teams — 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:
- 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.
- Backend-Led Full-Stack Delivery: Design and implement features end to end — robust FastAPI backend services and well-modelled PostgreSQL data layers, with responsive React front-ends where needed — delivering cohesive, maintainable code.
- 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.
- AI / LLM (a plus): Opportunities to work on LLM-powered features — RAG, vector search, embeddings, and prompt engineering, using frameworks such as LangChain or LlamaIndex. Prior exposure is welcome but not required.
- 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.
- Data Engineering: Build and operate data pipelines that move, transform, and serve data at scale — ETL/ELT with Airflow, Spark, and Kafka, dbt models, and cloud data warehouses — across both batch and streaming workloads.
- 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.
- 7+ 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 backend and API engineering in Python (FastAPI) — REST / GraphQL APIs, microservices, and relational databases (PostgreSQL, MySQL).
- Hands-on experience building and operating applications on AWS (compute, storage, networking, managed databases, containers); exposure to GCP or Azure is a plus.
- 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, containerisation (Docker / Kubernetes), 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.
Strongly preferred — experience in one or more of the following:
- Data engineering — building and operating data pipelines at scale: ETL / ELT, Apache Spark, Airflow, Kafka, dbt, and cloud data warehouses (Snowflake, BigQuery, Redshift), across batch and streaming, with strong SQL.
Good-to-have:
- Exposure to AI / LLM engineering — building LLM-powered features and retrieval systems (RAG, LangChain or LlamaIndex, vector databases such as Pinecone, Weaviate, Chroma, or FAISS, embeddings, tool/function calling, and prompt engineering), using model APIs such as OpenAI, Anthropic, or Hugging Face.
- 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).
- Experience with cloud-native and infrastructure-as-code practices (containers, Kubernetes, Terraform).
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:
- 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, bereavement leaves
Interview Process:
- Intro call
- Assessment
- Interview rounds (ideally up to 3-4 rounds)
- Culture Round / HR round
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