Associate Developer - Process Automation and Cloud Engineering

Associate Developer - Process Automation and Cloud Engineering

Company: Cargill India

Job Location: Bengaluru, Karnataka, India

Employment Type: Full-time

Experience Required: 1 - 2 years

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

12 years of experience in Software Development, Cloud Engineering, Automation, or AI-related development

Bachelors 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

Experience Level

Mid Level .