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
- Solid 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

📌 Associate Developer, Process Automation (Karnataka)
🏢 Cargill
📍 Karnataka