Software Engineer

Software Engineer     About Sysco LABS     Sysco LABS is the Global In-House Center of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco ranks 56th in the Fortune 500 list and is the global leader in the trillion-dollar foodservice industry.        Sysco employs over 75,000 associates, has 337 smart distribution facilities worldwide and over 14,000 IoT-enabled trucks serving 730,000 customer locations. For fiscal year 2025 that ended June 29, 2025, the company generated sales of more than $81.4 billion.        Sysco LABS Sri Lanka delivers the technology that powers Sysco’s end-to-end operations. Sysco LABS’ enterprise technology is present in the end-to-end foodservice journey, enabling the sourcing of food products, merchandising, storage and warehouse operations, order placement and pricing algorithms, the delivery of food and supplies to Sysco’s global network and the in-restaurant dining experience of the end-customer.

Overview   The Software Engineer independently delivers well-engineered code using established best practices, with the ability and willingness to pick up new languages, frameworks, and tools as the team's needs evolve. This is a foundational hands-on engineering role — building features, writing tests, managing version control, contributing to cloud/DevOps tasks with guidance, and using AI-assisted tools responsibly to support day-to-day development work.

Technical   Work   Apply OOP/SOLID principles, design patterns, and common data structures & algorithms with minimal supervision.   Apply basic concurrency/parallel programming concepts under supervision, and foundational secure programming concepts .   Learn new languages, libraries, and frameworks as needed; build a good understanding of the SaaS/PaaS solutions the team relies on.   Use foundational design patterns and reference architectures, seeking senior support as needed; interpret functional and non-functional requirements to complete tasks with minimal rework.   Use Sysco-approved AI coding assistants for code generation, debugging, and refactoring, always   validating   AI-generated output before committing; understand foundational AI integration patterns and contribute to related implementations.   Delivery, Quality & Operations   Manage code branches and versioned components comfortably;   operate   independently within the team's chosen project management   methodology .   Implement code quality best practices and adjust existing code to meet standards without breaking functionality; write effective unit tests and understand the goals of integration and end-to-end testing.   Conduct root cause analysis and resolve straightforward production issues independently; navigate approved monitoring tools (e.g.,   DataDog , AWS CloudWatch) to   monitor   applications, including AI-integrated components.   Contribute to foundational DevOps tasks (CI/CD, configuration/secret management, infrastructure) and cloud implementations/ PoCs   (AWS/GCP/Azure) with guidance; stay aware of approved vulnerability detection tooling and cloud AI service usage guidelines.   Use AI tools to assist in writing tests and flagging code quality issues, validating AI-generated output for correctness and coverage.   People & Stakeholder   Management   Communicate clearly and constructively, verbally and in writing; actively   participate   in project meetings and sprint ceremonies.   Estimate assigned tasks accurately and   participate   in team-level estimation/planning; stay aware of what teammates are working on and step up to support when advised by seniors.   Actively contribute to brainstorming sessions and research answers to technical questions independently; stay current on industry and AI trends through discussions and forums.   Use AI   assistance   responsibly for written communication and documentation; proactively