Staff Backend Engineer — Scale AI for Global Agriculture

Bayer

United States

On-site

USD 117,000 - 171,000

Full time

6 days ago
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Benefits offered by this job

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Job summary

Bayer is seeking a Staff Software Engineer, Backend, to architect scalable cloud-based platforms supporting Digital Farming Solutions. You will guide architecture, ensure reliability, and mentor engineers toward Staff-level leadership while aligning technical decisions with farmer outcomes and production-grade data systems.

Join a collaborative team across multiple U.S. locations, contributing to precision agriculture data, geospatial imagery, and ML-driven workflows in a fast-evolving cloud

Qualifications

  • BS or equivalent in Computer Science or related field.
  • 8+ years of hands-on software development experience.
  • Experience leading multiple teams on scalable cloud-based microservices.
  • Proficiency in at least one backend language (Java or Python).

Responsibilities

  • Define and drive technical strategy for high-priority initiatives from architecture to delivery.
  • Clarify ambiguous problems and translate goals into actionable tasks.
  • Set engineering standards for reliability, observability, and code quality.
  • Mentor senior engineers toward Staff-level leadership.
  • Champion farmer-outcome focused decisions and scalable data platforms.
  • Shape architecture for data-intensive precision agriculture systems with cross-functional partners.
  • Lead data engineering efforts with data science and product teams to production-ready capabilities.

Skills

Backend engineering
Cloud platforms
CI/CD
Observability
Data pipelines
Team leadership
Microservices

Education

BS in Computer Science or related field

Tools

Docker
GitLab Pipelines
GitHub Actions
AWS
Kubernetes
SQL & NoSQL

Job description

Bayer is seeking a Staff Software Engineer, Backend, to architect scalable cloud-based platforms supporting Digital Farming Solutions. You will guide architecture, ensure reliability, and mentor engineers toward Staff-level leadership while aligning technical decisions with farmer outcomes and production-grade data systems.

Join a collaborative team across multiple U.S. locations, contributing to precision agriculture data, geospatial imagery, and ML-driven workflows in a fast-evolving cloud

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