$150,000 – $200,000
Listed on Beckman Coulter’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role builds the backend platform that enables AI agents to automate scientific workflows, connecting laboratory instruments and cloud systems while managing data, orchestration, and integration at scale. It suits experienced backend engineers who want to apply distributed systems expertise to regulated life sciences environments and emerging AI technologies.
Our summary, not Beckman Coulter’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- API Design
- Context Management
- Go
- Java
- Microservices
- Microsoft Azure
- Multi-Agent Systems
- Python
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What they ask for
Required
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field
- 7+ years designing and building distributed backend systems and APIs
- Experience with event-driven architectures and microservices on cloud platforms (AWS, Azure, or GCP)
- Hands-on experience building LLM-powered applications or multi-agent systems
- Strong API design and scalable backend architecture expertise
- Ability to travel up to 15% domestically and internationally
Nice to have
- Laboratory informatics platforms and standards (LIMS, ELN, SiLA 2) and scientific instrument integration
- Experience in regulated or compliance-driven environments (GxP, HIPAA, SOC 2)