Must-Have
Nice-to-Have
Location: Anywhere in LATAM
Work Modtnerships toward the capabilities that will differentiate the pipeline;
Lead the adoption strategy that institutionalizes proven innovation, governing the standards, workflows, training, and change management required to embed new practices across crops and regions at scale;
Own the impact narrative and its metrics by defining how acceleration value is measured and reported on cycle time, genetic gain, cost, quality, and adoption, and using that evidence to steer investment, leadership decisions, and the Long-Range Plan;
Provide technical, strategic, and product knowledge to the Capability Center, strategically contributing to key integral Precision Breeding, Breeding, and R&D; focus areas;
Lead and contribute to Global Breeding strategies and the Long-Range Plan (LRP), ensuring alignment with high-level functional and commercial goals;
Engage strategically with key universities to coach and guide future talent development, ensuring Bayer is viewed as a strategic talent destination of choice;
Serve as a member of various L3 leadership units across commercial and product supply teams, helping connect research acceleration with downstream product and supply decisions;
Ensure a strong focus on HS&E;, Compliance, DEI, Business Conduct, and Human Rights across the Capability Hub, fostering a culture that emphasizes ethical practices, safety, inclusion, and responsibility.
WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required Qualifications
PhD degree or MS degree in Plant or Animal Breeding, Quantitative or Statistical Genetics, Data Science, or a related field
Strong knowledge of advanced breeding technologies, advanced analytics and information technologies, genomics, and/or quantitative genetics, with a proven track record of driving innovation into applied pipelines;
Strong ability to collaborate and build cross-functional partnerships to solve complex business and technical problems across regions and functions;
Demonstrated ability to embrace and role-model VACC leadership attributes, aligned with Bayer's Values, Ambition, Collaboration, and Creativity expectations, within the Capability Center and with peers and colleagues across Bayer Crop Science.
Preferred Qualifications
5+ years of technology leadership experience, or MS degree with 8+ years of technology leadership experience;
Experience leading research acceleration, precision breeding, or early pipeline innovation initiatives in a global R&D; environment;
Experience working within large, matrixed organizations and contributing to cross-functional strategies that span R&D;, product design, and commercial teams;




Proven ability to influence senior stakeholders and drive adoption of new ways of working across diverse teams and geographies;
Strong communication skills with the ability to translate complex scientific and strategic concepts into clear, decision-ready insights for leadership and partners.
Listed below are aspects of the application process which may be present to maintain job posting compliance in the multiple countries which this position is posted.
United States
In the US, employees can expect to be paid a salary between ($ to $ ).
This range reflects the national US market rate ("salary range") for base pay for the relevant role.
Additional compensation may include a bonus or incentive compensation (if relevant).
Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.
This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors.
Germany
All applicants who apply to a posting which can be located in Germany are given the option 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 reasonableloud, Kubernetes, observability, and platform engineering technologies.
What You Bring
5–8+ 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 Actions
Jenkins
GitLab CI
or similar platforms
Strong Linux administration skills.
Experience with configuration management tools such as Ansible .
Good scripting and automation capabilities with:
Python
Bash
Experience implementing observability using technologies such as:
Prometheus
Grafana




CloudWatch
OpenSearch / Elasticsearch
ELK
Strong understanding of networking concepts including:
VPCs
Subnets
Load Balancers
DNS
VPNs
Firewalls
Routing
Security Groups
Experience 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, or a related technical discipline, or equivalent professional experience.
Core Technology Stack
You'll work with technologies including:
AWS
Kubernetes / EKS
Docker
Terraform
Ansible
GitHub Actions
Jenkins
Linux
Python
Bash
Prometheus
Grafana
CloudWatch
OpenSearch / Elasticsearch
Nice to Have
Experience with HashiCorp Nomad .
Experience with HashiCorp Consul .
Broader experience with the HashiCorp ecosystem.
Experience operating Kafka in production.
Experience supporting data infrastructure based on:
ClickHouse
Elasticsearch
MongoDB
Redis
Experience with distributed systems and high‐volume data platforms.
Previous experience in cybersecurity, identity security, or security SaaS platforms .
Experience working with cloud security controls and compliance frameworks.
Experience with FinOps and cloud cost optimization .
Experience designing internal developer platforms or platform engineering capabilities.
Exposure to infrastructure supporting AI/ML or LLM-based applications .
What Success Looks Like
Success in this role means:
Increasing infrastructure reliability and availability.
Reducing deployment friction and improving engineering velocity.
Increasing infrastructure automation and reducing manual operational work.
Improving observability and reducing mean time to detection and resolution.
Operating Kubernetes workloads reliably at scale.
Strengthening security throughout cloud infrastructure and deployment processes.
Improving AWS cost efficiency without compromising reliability.
Contributing reusable platform capabilities that allow engineering teams to move faster.
Continuously improving production readiness as the platform scales.
What Darwoft Offers
Contractor agreement with payment in USD
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms
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📌 Senior Aws Devsecops Engineer | Remote Ci/Cd Expert (Santa Fe)
🏢 OpenTalent
📍 Santa Fe