# AI Platform Engineer

Hiring organization: [Beckman Coulter](https://career.thegoodapps.co/organizations/beckman-coulter)

Canonical page: https://career.thegoodapps.co/jobs/b41c3ad0-36be-4d92-97ab-4cde3c8f43a9

Listed on Beckman Coulter's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Salary: 150000 – 200000 USD per year

## Summary

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._

## Skills named

Amazon Web Services (AWS), API Design, Context Management, Go, Java, Microservices, Microsoft Azure, Multi-Agent Systems, Python

## 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)

Apply on Beckman Coulter's site: https://danaher.wd1.myworkdayjobs.com/en-US/DanaherJobs/job/San-Jose-California-United-States/Backend---AI-Platform-Engineer_R1317110