Associate Developer, Process Automation
Job Purpose and Impact
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
Linkedin-vacaturehulpmiddel
Ontdek welke baan bij Cargill op jou is afgestemd. Meld je aan op jouw LinkedIn-profiel. Wij baseren ons op jouw vaardigheden en ervaring om vacatures te zoeken die op jou zijn afgestemd.
Duurzame cacao
Met ons programma Cargill Cocoa Promise verbinden we ons ertoe om generaties lang de cacaosector te laten bloeien.
Diversiteit,
Gelijkheid
en Inclusie
Onze inclusieve cultuur helpt ons de toekomst van de wereld vorm te geven.
Leven bij
Cargill
We combineren 154 jaar ervaring met nieuwe technologieën en inzichten om een vertrouwde partner te zijn op het gebied van voedsel, landbouw en voor financiële en industriële klanten in meer dan 125 landen. Samen kunnen we nieuwe kansen creëren, zodat je kunt groeien, jezelf kunt ontwikkelen en invloed kunt hebben op de toekomst van ons bedrijf.
Kom meer te weten