AI-Driven Backend Platform Engineer

Danaher Corporation; San Jose (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

Beckman Coulter Life Sciences, a Danaher operating company, seeks a Backend & AI Platform Engineer in San Jose, CA. You will architect and build backend services and APIs that connect laboratory instruments, cloud infrastructure, and AI agents to power automated workflows.

You will collaborate with the R&D Software team to develop LLM-powered applications and ensure scalable, secure production deployments. The role demands 7+ years in distributed backend systems, cloud platforms, and API design.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
• 7+ years of experience designing, building, and supporting distributed backend systems and APIs.
• Experience with event-driven architectures, microservices, and cloud-native apps on AWS/Azure/GCP.
• Hands-on experience building LLM-powered applications or multi-agent systems.
• Strong API design and scalable backend architecture with production-grade readiness.

Responsibilities

• Architect and develop event-driven backend services and APIs linking instruments, cloud, and AI agents.
• Design scalable data and context management for LLM-powered systems (retrieval, memory, state, tools).
• Build and maintain orchestration services for AI agents, devices, and software systems.
• Define data contracts, integration standards, and observability across instrument fleets and platforms.
• Prototype and mature AI/agent tech into production capabilities meeting regulatory requirements.

Skills

Distributed backend systems

APIs design

Event-driven architectures

ML/LLM-powered applications

Cloud-native applications

Education

Bachelor’s or Master’s degree in Computer Science/Software Engineering

Tools

AWS

Azure

GCP

Job description

Beckman Coulter Life Sciences, a Danaher operating company, seeks a Backend & AI Platform Engineer in San Jose, CA. You will architect and build backend services and APIs that connect laboratory instruments, cloud infrastructure, and AI agents to power automated workflows.

You will collaborate with the R&D Software team to develop LLM-powered applications and ensure scalable, secure production deployments. The role demands 7+ years in distributed backend systems, cloud platforms, and API design.