Back-End / Full-Stack Engineer

Location: Austria (Remote)

Team: Engineering

SluiceboxAI is building scalable, automation-driven sustainability intelligence for manufacturers. Our platform helps companies navigate compliance, reduce emissions, and drive transparency with automated Life Cycle Assessments (LCA). We’re a fast-moving startup where engineers play a central role in defining solutions, not just building features.

The Role

We’re looking for a strong back-end engineer who can work across the stack to build scalable, high-impact features. The ideal candidate is not just technical but has a product mindset, curiosity, and the ability to navigate ambiguity. This is an opportunity to own solutions end-to-end, collaborate with product and customers, and help shape how we solve complex industry problems.

What You’ll Do

• Own and build scalable back-end solutions (APIs, databases, automation pipelines).
• Work across the stack—primarily back-end, but capable of delivering front-end features.
• Figure out solutions independently.
• Collaborate with product, engineering, and customers to deeply understand pain points.
• Design and implement test automation, scalability solutions, and complex data systems.
  
  
  

If interested, grow into AI/ML integration, but this is not required.

Why Join Us?

Be a builder. Work directly with leadership to define solutions, not just implement them.

End-to-end ownership. Build impactful solutions that directly help customers.

Fast-moving, no red tape. Your work matters, and we move quickly.

Future growth. Potential to lead and shape our tech as we scale.

If you thrive in startup environments, love solving hard problems, and want to help build something meaningful, we’d love to hear from you!

What We’re Looking For

Must-Haves:

• Strong back-end experience (Python preferred, but open to others).
• Experience designing and scaling APIs, relational databases (PostgreSQL, etc.).
• Product thinking—ability to define solutions, not just execute tickets.
• Comfortable with ambiguity, startup pace, and fast problem-solving.
• Ability to work across the stack (front-end skills not the focus, but should deliver when needed).
  
  
  

Nice-to-Haves:

• Experience in test automation, scaling complex software, or system architecture.
• Exposure to AI/ML, vector databases, or related fields (not required, but a plus).
• Previous leadership or ownership in high-impact engineering projects.