At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility.
We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'.
There are so many reasons to join us.
If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.
Research and Impact Acceleration
Research and Impact Acceleration (m/f/d)
The incumbent for this position may be based in the United States (US), Germany.
Bayer Talent Acquisition is accepting applications for these locations under one integral job posting which follows each country's individual employment laws.
As such, applicants should expect to experience differences in the application process which are unique from a single country posting.
As the Research and Impact Acceleration Lead, you are part of the Product Design Capability Center and report to the Head of Product Design.
In this role, you define and lead the vision, strategy, and multi-year plan for accelerating research and impact across the team through improvements in germplasm improvement units.
You mobilize the organization to turn speed of learning, evidence quality, and iteration capacity into a durable competitive advantage in how the early part of the breeding pipeline operates, ensuring that innovation translates into faster, higher-quality product delivery for growers and customers worldwide.
YOUR TASKS AND RESPONSIBILITIES
Define the vision and multi-year strategy for research acceleration across the early breeding pipeline, framing where faster learning creates durable competitive advantage and translating this into a prioritized portfolio against the highest-value constraints in cycle time, genetic gain, decision quality, and product delivery;
Establish how the organization formulates and answers research questions by setting standards for hypothesis-driven design, decision-ready evidence, and disciplineation, observability, security, and developer productivity are critical engineering priorities.About the RoleWe're looking for a Senior DevOps Engineer to design, automate, operate, and continuously improve the cloud infrastructure and deployment platform supporting a high-scale cybersecurity product.You'll work primarily with AWS, Kubernetes/EKS, Terraform, Docker, CI/CD, and observability technologies , partnering closely with Software Engineering, QA, Security, and IT teams.This role goes beyond maintaining infrastructure.




You'll actively contribute to platform engineering , helping engineers ship software faster and more reliably while improving automation, security, operational visibility, scalability, and cloud cost efficiency.You'll have a high degree of ownership over production infrastructure and participate directly in architectural decisions, incident resolution, platform improvements, and DevOps best practices.What You'll Be DoingDesign, build, and operate highly available and scalable cloud infrastructure primarily on AWS .
Build and maintain Infrastructure as Code using Terraform .
Deploy, manage, scale, and troubleshoot workloads running on Kubernetes , particularly Amazon EKS .
Develop automation for infrastructure provisioning, environment configuration, and application deployment.Build and maintain reliable CI/CD pipelines using tools such as GitHub Actions, Jenkins, or GitLab CI .
Improve deployment processes, release reliability, and developer experience across engineering teams.Manage containerized applications using Docker and Kubernetes .
Design and improve observability across infrastructure and applications.Implement monitoring, dashboards, alerts, and centralized logging using technologies such as:PrometheusGrafanaAWS CloudWatchOpenSearch / ElasticsearchELKParticipate in production incident response, troubleshooting, mitigation, and root cause analysis .
Identify recurring operational issues and automate their resolution.Implement AWS and Kubernetes security best practices.Collaborate with Security teams to strengthen infrastructure security and support compliance initiatives.Improve platform resilience, high availability, scalability, and disaster recovery capabilities.Optimize AWS resource utilization and contribute to cloud cost optimization and FinOps initiatives .
Automate operating system and infrastructure configuration using Ansible or similar tools .
Develop operational tooling and automation using Python and Bash .
Collaborate with Engineering teams on platform architecture and deployment strategies.Continuously evaluate new DevOps, cloud, Kubernetes, observability, and platform engineering technologies.What You Bring5–8+ years of experience working in DevOps, Platform Engineering, Site Reliability Engineering, Cloud Engineering,



or similar roles.Strong hands-on production experience with AWS .
Strong experience managing Kubernetes clusters , ideally Amazon EKS .
Advanced experience with Terraform and Infrastructure as Code.Strong experience with Docker and containerized environments .
Hands-on experience building and maintaining CI/CD pipelines with:GitHub ActionsJenkinsGitLab CIor similar platformsStrong Linux administration skills.Experience with configuration management tools such as Ansible .
Good scripting and automation capabilities with:PythonBashExperience implementing observability using technologies such as:PrometheusGrafanaCloudWatchOpenSearch / ElasticsearchELKStrong understanding of networking concepts including:VPCsSubnetsLoad BalancersDNSVPNsFirewallsRoutingSecurity GroupsExperience troubleshooting complex distributed systems and production environments.Solid understanding of cloud security and infrastructure security best practices.Experience supporting highly available, production-grade cloud environments.Strong communication skills and ability to collaborate with engineering, security, QA, and business stakeholders.High degree of autonomy, ownership, and analytical problem-solving ability.Bachelor's degree in Computer Science, Software Engineering, Systems Engineering, ption to disclose if they have a severe disability as certified by German authorities.
This is a voluntary question, and applicants are given the option to answer as not applicable if they prefer not to disclose.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.
Bayer is an E-Verify Employer.
Location:
United States : Missouri : Chesterfield | Argentina : Buenos Aires : Camet, Mar del Plata | Argentina : Buenos Aires : Fontezuela | Argentina : Buenos Aires : Munro | Argentina : Buenos Aires : Pergamino | Argentina : Buenos Aires : Pilar | Argentina : Buenos Aires : Rojas | Argentina : Buenos Aires : Zarate | Argentina : Buenos Aires : Zarate | Brazil : São Paulo : São Paulo | Canada : Alberta : Calgary | Canada : Manitoba : Winnipeg | Canada : Ontario : Guelph | Canada : Ontario : Mississauga | Germany : North Rhine Westfalia : Monheim
Division:
Crop Science
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