SatSure is a global Earth intelligence company headquartered in India. Founded in 2017, SatSure owns the full Earth observation data value chain – from the upstream payload infrastructure to the foundational deep-tech and AI layers, to the downstream decision intelligence solutions. We work with private companies and government bodies across Agri-tech, Agri-banking, forestry, critical infrastructure, and aviation. Through our subsidiary KaleidEO, SatSure is building multispectral payloads for high-definition space imagery with edge computing capabilities, powering both sovereign and commercial applications.

Role:

As a Software Development Engineer 2, you will design, build, and operate full-stack software that powers SatSure's geospatial products. You will own features and services end-to-end 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 runs at scale in production.

Key Responsibilities:

Feature Ownership: Take features from design through deployment and support - scoping the work, breaking it down, and shipping it with minimal hand-holding.
Full-Stack Development: Build responsive React frontends, robust FastAPI backend services, and well-modelled PostgreSQL data layers, delivering cohesive, maintainable code that enhances the user experience.
Backend & API Engineering: Write clean, well-documented REST/async APIs in FastAPI, applying established patterns for authentication/authorization, pagination, validation, and error handling.
Frontend Engineering: Develop modular, reusable React components (state management, routing, code-splitting), working with product and design to translate requirements into intuitive interfaces.
Data Layer & Persistence: Write and tune schemas, indexes, and queries in PostgreSQL (including geospatial workloads via PostGIS) for correctness and good performance under real traffic.
Cloud & Infrastructure: Deploy and run services on AWS using managed services, containers, and infrastructure-as-code, with attention to cost, security, and observability.
Performance & Debugging: Investigate and fix bottlenecks across the stack - frontend rendering, API latency, slow queries, caching - using profiling, indexing, and query optimisation.
Quality & Reliability: Write automated tests, work within CI/CD pipelines, add meaningful monitoring and alerting, and participate in on-call and incident follow-ups for the services you own.
Design Participation: Contribute to design discussions and technical proposals, participate in sprint planning, retrospectives, and design reviews, and communicate progress and trade-offs clearly.
Peer Support: Give constructive code reviews, help onboard new joiners, and share what you learn with the team.
Collaboration & Communication: Work with product and cross-functional teams to understand requirements and translate them into technical solutions, communicating effectively with both technical and non-technical stakeholders.

Must-have:

Bachelor's or Master's degree in Computer Science or a related field.
3-6 years of software development experience, with services you have shipped and supported in production.
Experience building and operating web applications at scale, with an understanding of availability, latency, and failure handling.
Solid full-stack engineering skills across React (frontend), FastAPI / Python (backend), and PostgreSQL (data layer).
Hands-on experience building applications on AWS (compute, storage, networking, managed databases, containers).
Working knowledge of API design, relational databases, caching, and asynchronous patterns.
Good fundamentals in data structures, algorithms, testing, CI/CD, and observability.
Familiarity with Scrum or Agile frameworks such as Kanban.
Strong analytical and problem-solving skills, and the ability to work through ambiguity with support from the team.

Good-to-have:

Exposure to GIS / geospatial development - PostGIS and spatial queries, geospatial formats/standards (GeoJSON, Shapefile, KML, GeoParquet, STAC), and libraries such as GDAL, Rasterio, GeoPandas, Shapely.
Familiarity with mapping/visualisation libraries (Mapbox, MapLibre, Leaflet).
Exposure to data engineering tooling such as Apache Airflow or Apache Spark, and lakehouse formats like Apache Iceberg.
Experience with containers, Kubernetes, or Terraform.
Interest or early experience in building AI / LLM-powered applications - RAG, tool/function calling, prompt engineering, or agentic workflows.

The role of a Software Development Engineer 2 is key to building and scaling 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 (2-3 rounds)
Culture Round / HR round

Role:

Key Responsibilities:

Feature Ownership: Take features from design through deployment and support - scoping the work, breaking it down, and shipping it with minimal hand-holding.
Full-Stack Development: Build responsive React frontends, robust FastAPI backend services, and well-modelled PostgreSQL data layers, delivering cohesive, maintainable code that enhances the user experience.
Backend & API Engineering: Write clean, well-documented REST/async APIs in FastAPI, applying established patterns for authentication/authorization, pagination, validation, and error handling.
Frontend Engineering: Develop modular, reusable React components (state management, routing, code-splitting), working with product and design to translate requirements into intuitive interfaces.
Data Layer & Persistence: Write and tune schemas, indexes, and queries in PostgreSQL (including geospatial workloads via PostGIS) for correctness and good performance under real traffic.
Cloud & Infrastructure: Deploy and run services on AWS using managed services, containers, and infrastructure-as-code, with attention to cost, security, and observability.
Performance & Debugging: Investigate and fix bottlenecks across the stack - frontend rendering, API latency, slow queries, caching - using profiling, indexing, and query optimisation.
Quality & Reliability: Write automated tests, work within CI/CD pipelines, add meaningful monitoring and alerting, and participate in on-call and incident follow-ups for the services you own.
Design Participation: Contribute to design discussions and technical proposals, participate in sprint planning, retrospectives, and design reviews, and communicate progress and trade-offs clearly.
Peer Support: Give constructive code reviews, help onboard new joiners, and share what you learn with the team.
Collaboration & Communication: Work with product and cross-functional teams to understand requirements and translate them into technical solutions, communicating effectively with both technical and non-technical stakeholders.

Must-have:

Bachelor's or Master's degree in Computer Science or a related field.
3-6 years of software development experience, with services you have shipped and supported in production.
Experience building and operating web applications at scale, with an understanding of availability, latency, and failure handling.
Solid full-stack engineering skills across React (frontend), FastAPI / Python (backend), and PostgreSQL (data layer).
Hands-on experience building applications on AWS (compute, storage, networking, managed databases, containers).
Working knowledge of API design, relational databases, caching, and asynchronous patterns.
Good fundamentals in data structures, algorithms, testing, CI/CD, and observability.
Familiarity with Scrum or Agile frameworks such as Kanban.
Strong analytical and problem-solving skills, and the ability to work through ambiguity with support from the team.

Good-to-have:

Exposure to GIS / geospatial development - PostGIS and spatial queries, geospatial formats/standards (GeoJSON, Shapefile, KML, GeoParquet, STAC), and libraries such as GDAL, Rasterio, GeoPandas, Shapely.
Familiarity with mapping/visualisation libraries (Mapbox, MapLibre, Leaflet).
Exposure to data engineering tooling such as Apache Airflow or Apache Spark, and lakehouse formats like Apache Iceberg.
Experience with containers, Kubernetes, or Terraform.
Interest or early experience in building AI / LLM-powered applications - RAG, tool/function calling, prompt engineering, or agentic workflows.

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 (2-3 rounds)
Culture Round / HR round

Software Development Engineer - 2

What we know about this role

Skills required

Job description

Must-have:

Good-to-have:

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Software Development Engineer - 2

What we know about this role

Skills required

Job description

Must-have:

Good-to-have:

Get tomorrow's jobs before you have to search

Someone shared one job with you. ASAI keeps finding the rest.