**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 + Robust 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 (Bengaluru)
🏢 Cargill
📍 Bengaluru