Software Engineer, Backend
Adaptyv Bio
Posted: 10/19/2026
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Software Engineer, Backend
Adaptyv BioCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building production backend systems and data pipelines for processing large-scale protein characterization data. Capable of integrating laboratory instruments and robotics into cohesive software systems while collaborating with scientists and automation engineers.
Highest-signal resume keywords
Backend Systems DesignData Pipeline DevelopmentAPI DesignSystems IntegrationProblem Solving
About the role
Key responsibilities & impact- Build backend systems that make the automated laboratory programmable
- Architect data pipelines processing large-scale protein characterization data
- Build APIs integrating laboratory instruments and robotics into the software stack
- Work with scientists and automation engineers to translate molecular biology workflows into reliable, scalable software
- Connect instruments, robotics, and scheduling systems into a coherent software system
- Support AI-driven wet-lab experimentation at scale
Requirements
What you’ll need- Strong experience designing and building production backend systems
- Experience building data pipelines and processing infrastructure
- Experience handling large volumes of heterogeneous data from physical instruments
- Comfortable with API design and systems integration
- Genuine interest in biology; no biology background required
- High-autonomy, founder mindset
- Pragmatism and focus on solving problems well
- Experience writing software without AI and recognizing good code and architecture
- Link a Github or another way to show software built for software roles
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend DevelopmentData Processing InfrastructureAPI DevelopmentSoftware ArchitectureLarge-Scale Data Handling
Soft Skills
High AutonomyPragmatismProblem Solving Focus
Industry Keywords
Molecular Biology WorkflowsLaboratory AutomationAI-Driven ExperimentationRobotics Integration