Bio-Rad is a global leader in developing and manufacturing a wide range of products for the life science research and clinical diagnostic markets.
About the role
The Staff Agentic Software Automation Engineer sets automation and test direction for a domain or product area, leading the design of scalable automation systems built around agentic tools and approaches. This role has the technical depth and organizational influence to drive adoption of agentic automation practices, including agent orchestration and oversight, across teams, and serves as a senior escalation point for automation and test infrastructure decisions.
What they're looking for
- Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical field (Master's preferred)
- Deep technical leadership across AI tools, automation and test engineering for a domain or product area, with strong AWS/GCP and cloud infrastructure experience for building and deploying applications at scale
- Experience with modern agentic and test automation and development tooling (e.g., Kiro, Claude Code, Playwright, Shiplight, AWS/Terraform, CodeX, Cursor etc)
- Mentoring senior engineers and cross-functional stakeholder management, coordinating automation and test priorities across teams
More about this role
The Staff Agentic Software Automation Engineer sets automation and test direction for a domain or product area, leading the design of scalable automation systems built around agentic tools and approaches. This role has the technical depth and organizational influence to drive adoption of agentic automation practices, including agent orchestration and oversight, across teams, and serves as a senior escalation point for automation and test infrastructure decisions.
- Set AI and Automation direction for a domain or product area, embedding agentic tools as the primary methodology for CI, infrastructure and SDLC workflows.
- Serve as a senior escalation point for AI, automation and infrastructure decisions across multiple teams.
- Build multi-agentic orchestration platforms and applications to scale-up the engineering team, execute workflows faster and enable data driven decision making.
- Drive definition and adoption of AI implementation best practices, including agent orchestration and oversight, across teams.
- Partner with cross-functional stakeholders to align AI automation and priorities with business needs.
- Education: Bachelor's degree in Computer Science, Software...
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