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), Dev Ops/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.
- Dev Ops & 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, Git Hub/Azure Dev Ops, and version control practices Understanding of CI/CD pipelines and Dev Ops concepts Knowledge of REST APIs, JSON, and integrations Robust analytical and problem-solving skills

Preferred Qualifications:

Exposure to Dev Ops/MLOps tools such as Azure Dev Ops, Git Hub 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. (India)
🏢 Cargill
📍 India