
Eligibility Criteria
Bachelor’s degree (B.E./B.Tech) in Computer Science, Information Technology, Electronics & Communication or related engineering discipline; minimum aggregate 60% (or CGPA 6.0/10); graduating batch 2023‑2025; 1‑2 years of relevant professional experience (full‑time or internships); no active backlogs at the time of application; strong command of English (both written and spoken).

Job Description & Key Responsibilities
Cargill is a global leader in food, agriculture and related industries, operating in more than 70 countries. The company leverages technology to optimise complex supply chains, manufacturing processes and enterprise resource planning (ERP) systems. With a strong focus on sustainability and digital transformation, Cargill invests heavily in cloud platforms, automation and AI to drive efficiency and innovation across its operations. The Bengaluru office forms a key hub for Cargill’s Digital Technology division, where engineers collaborate with cross‑functional teams to build scalable, secure solutions that support the end‑to‑end value chain.
The Associate Developer, Process Automation role is designed for early‑career professionals who have 1‑2 years of hands‑on experience in software development, cloud engineering or AI‑related projects. Reporting to senior developers, the incumbent will contribute to the design, development, testing and deployment of Python‑based applications, APIs and automation scripts that streamline ERP, manufacturing and supply‑chain workflows. The position also involves supporting cloud deployments on Microsoft Azure or Amazon Web Services, participating in CI/CD pipeline creation, and assisting with the operationalisation of machine‑learning and generative‑AI models.
Key responsibilities include: developing and maintaining Python applications and data‑processing scripts; building and consuming RESTful APIs with JSON payloads; supporting Azure/AWS resource provisioning and monitoring; collaborating with DevOps teams to implement CI/CD pipelines; contributing to MLOps workflows for AI model deployment; automating repetitive tasks using RPA or scripting tools; performing unit, integration and user‑acceptance testing; monitoring post‑deployment performance and troubleshooting issues; documenting technical designs, code changes and deployment procedures; and liaising with operations and digital technology partners to gather requirements and deliver enhancements.
The tech stack centres on Python, object‑oriented programming, Azure or AWS services, Git version control, Docker (preferred), Kubernetes (preferred), CI/CD tools such as Azure DevOps or GitHub Actions, and basic SQL for data handling. Preferred exposure includes generative‑AI APIs, MLOps platforms, and cloud certifications like AZ‑900 or AWS Cloud Practitioner.
Growth at Cargill is structured and merit‑based. Junior developers can progress to senior developer, lead engineer or solution architect roles, gaining deeper expertise in cloud architecture, data engineering and AI enablement. The company encourages continuous learning through internal training, certifications and mentorship programs. Joining Cargill offers the chance to work on high‑impact projects that influence global food systems, benefit from a collaborative and inclusive culture, and enjoy a balanced work‑life environment with competitive compensation and clear career pathways.