Associate Developer, Process Automation

Cargill · Meat & Poultry · Animal Nutrition · Python · Go · SQL · 2 days ago

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Salary

≈ $6.5k – $15k per year (Estimated)

Location

In office (Bengaluru)

Seniority

Junior · 1+ year exp

Employment

Full-Time

First seen by Alion on Oct 26, 2026. Cargill scores A on the Alion truth index.

Overview

Company

Impact

Profile match

Cargill

Cargill is a global food, agriculture, and industrial products enterprise. The company provides agricultural commodity trading and processing, food ingredients, bio-industrial materials, animal nutrition, supply chain logistics, and financial risk management services to food manufacturers, farmers, and commercial clients. Headquartered in Wayzata, Minnesota, United States, the organization serves clients and partners across more than 70 countries worldwide.

cargill.com · HQ: Wayzata, United States · Meat & Poultry · Animal Nutrition · Food Ingredients · 5000+ employees · Est. 1865

Tech stack of Cargill

Backed by Silicon Valley Investclub

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

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