Kuva Space is on a mission to solve the world's most pressing issues, such as climate change, food security, safety and security, by building the world's most extensive hyperspectral microsatellite constellation and developing AI-driven analytics services.

We deliver reliable and timely global insights and foresight that transform rich spaceborne data into actionable insights customers can use for efficient resource management, optimizing operations, and improving profitability sustainably.

Kuva Space is on the lookout for a talented Pipeline Software Engineer to revolutionize how we process satellite data. Are you passionate about transforming raw hyperspectral data into powerful insights? By designing cutting-edge pipelines, you'll play a crucial role in our mission to deliver radiometrically calibrated and orthorectified imagery.

Pipeline Software Engineer

Position: Full time

Location: Office / Hybrid / Remote

Key Responsibilities:

• Design and implement robust, scalable data processing pipelines for large-scale satellite data ingestion and distribution.
• Collaborate with cross-functional teams, including data scientists, satellite engineers, and product managers.
• Optimize pipeline performance for real-time data processing and efficient resource utilization.
• Develop and maintain automated testing frameworks and engage in code reviews for quality assurance.
• Troubleshoot and resolve data processing workflow and pipeline issues.
• Monitor system performance to implement enhancements, reduce latency, and ensure code reliability with type annotations.
• Stay informed about emerging technologies and trends to drive innovation.
• Document pipeline architecture and processes for knowledge sharing and collaboration.

Qualifications:

• Master’s degree in Computer Science, Software Engineering, or related field, or equivalent experience.
• Proven experience as a software engineer focused on data pipelines and processing.
• Strong proficiency in Python and confidence with Linux (bash, basic system administration).
• Solid understanding of GIS principles and experience with GIS tools (e.g., ArcGIS, QGIS, GDAL).
• Familiarity with cloud platforms (e.g., AWS) and storage solutions (e.g., GCS).
• Strong understanding of data structures, algorithms, and software architecture principles.
• Background in physics, optical engineering, or software development.
• Knowledge of PostgreSQL/PostGIS.
• Ability to make quick decisions in a busy environment.
• Experience in developing scientific software.
• Excellent problem-solving skills and strong communication abilities.
• You share the company mission of improving life on Earth through daily, space-borne hyperspectral imaging and AI! 🌎 💚

Preferred Qualifications:

• Experience with satellite data processing or aerospace industry.
• Experience with multispectral or hyperspectral data.
• Understanding of geospatial data formats and processing.

What do we offer?

At Kuva Space, we offer a stimulating and safe work environment that encourages growth, collaboration, and excellence. Constantly learning new things is the norm here! Our focus on space technology means you'll have the opportunity to learn more about satellites, space, data, and the Earth. If you get excited about space-themed lunch table discussions, Kuva Space is the community for you 🪐✨

As an employer, we prioritize the well-being of our employees, both physically and mentally. Our health care benefits are comprehensive, including dental benefits and short-term psychotherapy. And our team members regularly meet up for after-work activities 🧘🏽

In addition, you will be part of a dynamic, fun, and highly skilled team! Our diverse team of international colleagues, with varying cultures, shares a passion for deep tech and making our Earth more sustainable. And we believe Finnish 'sisu' is a must-have mindset to overcome any challenges that come our way 🇫🇮

If you're passionate about space, code, and designing data processing pipelines, we'd love to hear from you. Join a team where the work directly contributes to meaningful Earth observation. Apply now! 🧑‍🚀

The application period will end 8th of December, 2025.