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Reimagining what's possible for food and agriculture
The Role
Develop and maintain Python applications, APIs, automation scripts, and data-processing solutions. Support Azure or AWS deployments, CI/CD pipelines, MLOps and AI solution lifecycles, testing, production releases, monitoring, troubleshooting, documentation, and stakeholder collaboration across ERP, manufacturing, and supply chain operations.
Summary Generated by Built In
Job Purpose and Impact
Key Accountabilities
Qualifications
- The Associate Developer, Automation and Cloud Engineering supports the design, development, deployment, and maintenance of automation, cloud, and AI-enabled solutions that improve operational efficiency across ERP, Manufacturing, and Supply Chain operations. This role focuses on building and supporting applications using Python, Cloud Platforms (Azure/AWS), DevOps/MLOps practices, and automation technologies while working closely with senior developers, operations teams, and DT&D partners to deliver scalable, secure, and reliable digital solutions.
Key Accountabilities
- Python Application Development: Develop, test, and maintain applications, APIs, automation scripts, and data processing solutions using Python.
- Cloud Engineering: Support deployment and management of applications and services on Azure or AWS.
- DevOps & CI/CD: Participate in source control, automated build pipelines, deployment automation, and release management.
- MLOps & AI Enablement: Support deployment, monitoring, and lifecycle management of ML and Generative AI solutions.
- Automation Development: Contribute to automation initiatives using Python, RPA tools, and workflow technologies.
- Testing & Deployment: Perform testing, support UAT, and ensure smooth production deployments.
- Post Go-Live Support: Monitor applications, resolve issues, and implement enhancements.
- Documentation & Collaboration: Maintain technical documentation and collaborate with stakeholders.
Qualifications
- 1-2 years of experience in Software Development, Cloud Engineering, Automation, or AI-related development
- Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
- Strong programming skills in Python
- Basic understanding of Object-Oriented Programming and software development principles
- Hands-on exposure to Azure or AWS cloud platforms
- Knowledge of Git, GitHub/Azure DevOps, and version control practices
- Understanding of CI/CD pipelines and DevOps concepts
- Knowledge of REST APIs, JSON, and integrations
- Strong analytical and problem-solving skills
Preferred Qualifications:- Exposure to DevOps/MLOps tools such as Azure DevOps, GitHub Actions, Jenkins, Docker, Kubernetes, or MLflow
- Basic experience with Generative AI / LLM technologies
- Experience with SQL and databases
- Cloud certifications such as AZ-900 or AWS Cloud Practitioner
Skills Required
- 1-2 years of experience in software development, cloud engineering, automation, or AI-related development
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field
- Strong programming skills in Python
- Basic understanding of object-oriented programming and software development principles
- Hands-on exposure to Azure or AWS cloud platforms
- Knowledge of Git, GitHub or Azure DevOps, and version control practices
- Understanding of CI/CD pipelines and DevOps concepts
- Knowledge of REST APIs, JSON, and integrations
- Strong analytical and problem-solving skills
- Exposure to DevOps or MLOps tools such as Azure DevOps, GitHub Actions, Jenkins, Docker, Kubernetes, or MLflow
- Basic experience with generative AI or LLM technologies
- Experience with SQL and databases
- Cloud certification such as AZ-900 or AWS Cloud Practitioner
What the Team is Saying
Gaby
Data Engineering Lead
Landon
North America Service Assurance Manager
Navita
Software Engineering Senior Supervisor
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William Orgertrice
Data Engineer
Kayode D.
Principal Data Engineer
Patricia
Supply Chain Learning & Development and Digital Support Lead
Heather W.
Software Engineer
Kristen K.
Factory of the Future Digital Product Manager
Shrey B.
Senior Software Engineer
Madhuri P.
Senior Data Scientist
William Orgertrice
Data Engineer — Data Function, Platforms and Product Engineering
Navita S.
Software Engineering Senior Supervisor
Heather W.
Software Engineer
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Cargill Compensation & Benefits Highlights
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Healthcare Strength — Health coverage includes multiple medical plan options alongside dental, vision, wellness programs, and mental-health/EAP resources. Plan breadth and provider access are often highlighted as strong points.
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Retirement Support — Retirement offerings feature a 401(k) with employer matching and additional programs such as an ESOP and employer-funded retirement contributions. Plan details like matching and vesting are emphasized as meaningful components of total rewards.
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Leave & Time Off Breadth — Paid time off scales with tenure and is complemented by paid holidays and paid family leave. These provisions are presented as part of a broad, well-rounded package.
Cargill Insights
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The Company
What We Do
We are a family company providing food, ingredients, agricultural solutions and industrial products to nourish the world in a safe, responsible and sustainable way. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials— from eggs to edible oils, salt to skincare, feed to flooring. By providing customers with products that are vital for living, we help businesses grow, communities prosper and consumers live well in their daily lives.
Why Work With Us
The decision to join Cargill can open the door to a world of possibility. As part of our Digital, Technology & Data team, you’ll get to be part of a large and diverse group full of unique perspectives united by a common, higher purpose while building a rewarding career full of opportunity, growth and the satisfaction of knowing your work matters.
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Cargill Teams
Cargill Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Not Specified
