Backend & AI Platform Engineer

Danaher Corporation

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CAIndianapolis, IN
Salary
$150,000–$200,000 / yr
Posted
16 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $187k
This role $175k
$131k most similar roles pay here $233k

This role pays less than 53% of similar roles. Most pay $151,000–$222,812 — the shaded band above. At the midpoint, this role pays about $175k versus about $187k for comparable roles.

Based on 240 similar postings.

Employer

About Danaher Corporation

Danaher Corporation is a leading global science and technology innovator focused on biotechnology, diagnostics, and life sciences.

Danaher Corporation currently has 27 open roles on FindRole.

Listed pay typically runs $150,000–$175,000 across 23 roles with salary data.

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View all roles at Danaher Corporation

At a glance

TL;DR · Backend & AI Platform Engineer

The Backend & AI Platform Engineer joins the R&D Software team to build the backend platform powering intelligent automation across scientific workflows. This role involves architecting and developing event-driven backend services and APIs that connect laboratory instruments, cloud infrastructure, and AI agents into a unified system. The engineer will design scalable data management solutions for LLM-powered systems, including retrieval pipelines, memory, state management, and tool integration frameworks. Key responsibilities include building orchestration services for heterogeneous AI agents and defining data contracts to ensure secure communication across instrument fleets. Required skills include experience with distributed backend systems, microservices, and cloud-native applications on AWS, Azure, or GCP. The role focuses on the technical challenge of integrating complex instrument ecosystems into automated laboratory operations while ensuring reliability and compliance in regulated environments for life sciences and biotechnology applications.

What you'll do

  • Architect and develop event-driven backend services and APIs to connect laboratory instruments, cloud infrastructure, and AI agents.
  • Design scalable data management solutions for LLM-powered systems, including retrieval pipelines and state management.
  • Build orchestration services to coordinate planning, execution, and monitoring across heterogeneous AI agents and devices.
  • Define and govern data contracts, integration standards, and observability practices for secure communication across instrument fleets.
  • Prototype and evaluate emerging AI technologies to develop production-ready capabilities for regulated environments.
  • Integrate complex instrument ecosystems into a unified platform to power intelligent automation in scientific workflows.

What we're looking for

  • 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 developing and operating event-driven architectures, microservices, and cloud-native applications on AWS, Azure, or GCP.
  • Hands-on experience building LLM-powered applications or multi-agent systems including orchestration, tool integration, and retrieval architecture.
  • Expertise in API design and scalable backend architecture with the ability to prototype production-ready enterprise solutions.
  • Ability to travel up to 15% domestically and internationally.
  • Experience in laboratory informatics platforms and standards such as LIMS, ELN, and SiLA 2 (preferred).
  • Experience working in regulated or compliance-driven environments like GxP, HIPAA, or SOC 2 (preferred).

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