Senior Software Engineer (Python) – Life Science Instrumentation

Join Moleculent and play a key role in building the software backbone of a cutting-edge life science instrumentation platform! If you've built software for lab systems, medtech, instruments, robotics, automation, or machine vision, or you come from traditional software with experience in complex operational systems and want to work closer to a physical product, this could be your next step!Moleculent is on a mission to build products that yield new insights into the molecular foundation of human biology. This is a chance to join a focused and dedicated team with extensive experience building successful life-science companies and products. Our platform combines hardware, imaging, data processing and you will help build the software that ties it all together and turns every instrument run into reliable, usable data.This is a full-time, permanent position based on-site in Solna, Stockholm. Applications close on the 9th of November, but please apply as soon as possible. We review applications continuously, and the role may be filled before the closing date.Applicants should be eligible to work in Sweden without sponsorship.JOB DESCRIPTIONAs a Senior Software Engineer, you'll join our software team of experienced, driven engineers. You will work across the software that supports the instrument, from experiment orchestration and data processing to operational tools and deployment.You will work side by side with our software technical lead and collaborate daily with the software, analysis, and instrument teams. Over your first year, you will move from contributing across the stack to owning releases, reliability, deployment, and monitoring, with a growing say in architecture.Key responsibilities include: Build and evolve the Python software, orchestration, and data-processing pipelines that run and support instrument experiments Investigate and solve problems that span software, data, infrastructure, and the physical instrument environment Improve reliability, monitoring, diagnostics and recovery across the platform Drive releases, CI/CD, deployment, and production readiness Build operational tools and interfaces for monitoring experiments, jobs, errors, and system health Automate engineering and operational work through scripts, tests, and AI-assisted workflows Review changes across the platform and gradually take ownership of architecture and operational decisions QUALIFICATIONSWe're looking for someone with a degree in Computer Science, Software Engineering,...

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