Application Guide

How to Apply for Fullstack Software Engineer

at ICEYE

🏢 About ICEYE

ICEYE is pioneering the use of real-time radar satellite data to address critical climate and disaster challenges, offering a unique opportunity to work on technology with direct humanitarian and environmental impact. Unlike traditional satellite companies, ICEYE provides persistent monitoring capabilities regardless of weather or time of day, making their data essential for emergency response and climate resilience. Working here means contributing to a mission-driven company at the intersection of space technology, cloud computing, and social good.

About This Role

This Fullstack Software Engineer role involves building and maintaining the cloud-native platform that processes and delivers ICEYE's radar satellite data to customers for disaster management and environmental monitoring. You'll design Python services with FastAPI, model geospatial data in PostGIS, and create pragmatic React interfaces focused on operational tools for job management and visualization. Your work directly enables faster disaster response and better environmental insights by ensuring reliable, observable data pipelines.

💡 A Day in the Life

A typical day might involve collaborating with the data processing team to design a new API endpoint for satellite job submissions, then implementing the corresponding React interface for job monitoring. You could be optimizing a PostGIS query for faster result retrieval, reviewing CI/CD pipeline improvements, or responding to observability alerts from production services. The work balances backend service development with frontend operability tools, all focused on ensuring reliable delivery of critical satellite data.

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🎯 Who ICEYE Is Looking For

  • Has production experience with Python APIs (specifically FastAPI) and can discuss designing versioned REST APIs with solid contracts
  • Demonstrates practical AWS skills beyond basics: experience running services, using S3/IAM, and preferably Batch/Step Functions for job orchestration
  • Shows hands-on data modeling with Postgres (PostGIS is a plus) and understands how to implement robust access patterns for geospatial or provenance data
  • Emphasizes production hygiene: can provide examples of implementing CI/CD, automated testing, and observability (CloudWatch/Datadog/OpenTelemetry) with actionable alerts

📝 Tips for Applying to ICEYE

1

Highlight specific experience with geospatial data or PostGIS, even if limited, as this is directly relevant to ICEYE's satellite data processing

2

Quantify your impact on system reliability or observability metrics (e.g., 'reduced incident response time by X% through improved CloudWatch alerts')

3

Mention any experience with job orchestration systems (AWS Batch/Step Functions) as this aligns with their 'job authoring and status' requirements

4

Demonstrate understanding of both backend (Python/FastAPI/Postgres) and frontend (TypeScript/React) requirements by providing balanced examples

5

Reference ICEYE's mission in your application materials, showing you understand how your technical work supports their climate resilience goals

✉️ What to Emphasize in Your Cover Letter

['Your experience building and operating production APIs with FastAPI or similar frameworks, emphasizing versioning and contract design', 'Specific examples of implementing observability and actionable alerts in cloud environments (CloudWatch/Datadog)', "How you've approached data modeling for complex domains, particularly if you have experience with geospatial or provenance data", 'Your ability to build pragmatic UIs focused on operability rather than just user-facing features']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → ICEYE's specific satellite capabilities and how their SAR (Synthetic Aperture Radar) technology differs from optical satellites
  • → Recent use cases where ICEYE data was used for disaster response (floods, wildfires, etc.)
  • → Their technology stack mentions and any open-source contributions or technical blog posts
  • → The specific challenges in processing and delivering real-time satellite data at scale

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Designing a versioned REST API for satellite data processing jobs with proper contracts and error handling
2 Data modeling considerations for storing and querying geospatial results in PostGIS
3 Implementing observability for a Python service (what metrics to track, how to set up actionable alerts)
4 AWS architecture questions: when to use Batch vs Step Functions, IAM best practices for service-to-service communication
5 React/TypeScript patterns for building operational interfaces (job status tracking, metrics display)
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⚠️ Common Mistakes to Avoid

  • Focusing only on frontend or backend without demonstrating fullstack capability - this role requires both
  • Generic AWS experience without specifics about running services, IAM, or job orchestration
  • Emphasizing theoretical knowledge over production experience with observability and CI/CD

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to ICEYE!

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