Software Engineer
Salary undisclosed
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Software (Data) Engineer - Series A Climate Tech Startup - San Francisco (Onsite)
A Series A funded Climate Tech startup on a mission to stabilize the earth's climate are on the lookout for a Software (Data) Engineer to join their team.
What you'll be doing:
- Build and scale robust data infrastructure and integrations that power operational workflows and scientific processes, focusing on creating efficient, automated systems that enable data-driven decision making
- Develop backend solutions using Python/FastAPI while managing technical infrastructure including cloud systems, CI/CD pipelines, and DevOps tools to ensure reliable service delivery
- Foster a culture of engineering excellence through comprehensive documentation, automated testing, and high-quality code practices that support seamless deployment and system reliability
What we're looking for:
- At least 3 years' of software development experience in Python
- Experience with geospatial data
- Skilled in building ETL pipelines
- Strong track record of shipping products, especially in a startup environment
- Passion about addressing climate change
What's in it for you:
- Join a fast-growing engineering team where you'll have significant autonomy to architect solutions and shape core platform features from the ground up
- Develop your technical expertise across the full stack while working with modern technologies including Python
- Make an impact by building meaningful products that directly enhance operational efficiency and enable data-driven decision making at scale
- Salary of $150,000 - $250,000 dependent on level of experience
Apply now for immediate consideration!
Software (Data) Engineer - Series A Climate Tech Startup - San Francisco (Onsite)
A Series A funded Climate Tech startup on a mission to stabilize the earth's climate are on the lookout for a Software (Data) Engineer to join their team.
What you'll be doing:
- Build and scale robust data infrastructure and integrations that power operational workflows and scientific processes, focusing on creating efficient, automated systems that enable data-driven decision making
- Develop backend solutions using Python/FastAPI while managing technical infrastructure including cloud systems, CI/CD pipelines, and DevOps tools to ensure reliable service delivery
- Foster a culture of engineering excellence through comprehensive documentation, automated testing, and high-quality code practices that support seamless deployment and system reliability
What we're looking for:
- At least 3 years' of software development experience in Python
- Experience with geospatial data
- Skilled in building ETL pipelines
- Strong track record of shipping products, especially in a startup environment
- Passion about addressing climate change
What's in it for you:
- Join a fast-growing engineering team where you'll have significant autonomy to architect solutions and shape core platform features from the ground up
- Develop your technical expertise across the full stack while working with modern technologies including Python
- Make an impact by building meaningful products that directly enhance operational efficiency and enable data-driven decision making at scale
- Salary of $150,000 - $250,000 dependent on level of experience
Apply now for immediate consideration!