Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who use new technologies, dynamic insights and over 154 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive.
Job Purpose and Impact
The Sr. Software Engineer job designs, develops and maintains software applications and systems. With minimal supervision, this job collaborates with cross functional teams to define, design and implement new software features to meet user needs and business goals, and upgrade existing software to improve performance and functionality through writing clean, efficient and scalable code and troubleshooting and debugging complex issues. This job also participates in code reviews to maintain high code quality and share knowledge with software engineering team members.
Essential Functions
- SOFTWARE DEVELOPMENT: Designs and develops high quality software solutions by writing clean, maintainable and efficient codes.
- AUTOMATION: Leads the application of internal software deployment platform, methodologies and tools to automate the deployment process, ensuring smooth and reliable releases.
- COLLABORATION: Partners with cross functional team of product managers, designers and different engineers to gather complex requirements and deliver solutions that meet business needs.
- TESTING & DEBUGGING: Writes and maintains complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software.
- CONTINUOUS IMPROVEMENT: Suggests options for improving the software development and deployment processes, and implements the approved standards to improve efficiency and reliability.
- APPLIED GENERATIVE AI & INTELLIGENT SYSTEMS: Designs, builds and maintains AI‑enabled software solutions with strong emphasis on Generative AI, including large language models (LLMs), AI agents and AI‑driven workflows, ensuring scalability, security, reliability and Responsible AI principles.
- DOCUMENTATION: Builds and maintains comprehensive documentation for complex software applications, deployment processes and system configurations.
- TECHNICAL SUPPORT: Provides technical support and troubleshooting for complex issues with deployed applications to ensure minimal downtime and fast resolution. GEN AI: Experience applying Generative AI in enterprise or regulated environments, balancing innovation with security, compliance and Responsible AI principles
- GEN AI: Experience applying Generative AI in enterprise or regulated environments, balancing innovation with security, compliance and Responsible AI principles
- #LI-RJ2 #LI-Hybrid
Qualifications- Strong experience with PHP, JavaScript and C#.
- Solid understanding of object-oriented programming.
- Experience with unit testing and mocking frameworks (e.g., xUnit, NUnit, Moq).
- Familiarity with design patterns (e.g., Repository, Factory, Strategy).
- Experience with PostgreSQL and SQL Server: writing queries, stored procedures, and performance tuning.
- Knowledge of RESTful APIs and message-based systems.
- Experience with relational databases and data access libraries (e.g., Entity Framework, Dapper).
- Proficient in Git: branching, merging, pull requests, and version control workflows.
- Fluent English level
Preferred:
- Basic familiarity with Azure services (e.g., Azure Storage, Service Bus).
- Exposure to clean architecture, DDD, or layered architecture.
- Experience with CI/CD pipelines (Azure DevOps).
- Familiarity with logging and monitoring tools (e.g., Data Dog, Serilog, Application Insights).
- Knowledge of ReactJS frontend using Material / Micro UI.
- Familiarity with Python and/or R.
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