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Develop and maintain scalable software and AI-enabled solutions across the product lifecycle. Collaborate with agile product teams, build full-stack and cloud-native capabilities, implement CI/CD, automated testing, observability, and DevOps practices, and contribute to responsible AI development. Own production reliability through monitoring, incident response, root cause analysis, and continuous improvement while reducing technical debt and sharing engineering best practices.
Job Purpose and Impact
The Software Engineer partners with cross-functional product teams to design, develop & maintain scalable software and AI-enabled solutions that address user needs & deliver measurable business value across the Food NA enterprise. Working with limited supervision in an agile, product-focused environment, this role contributes throughout the product lifecycle, from discovery & iterative development through deployment, support & continuous improvement. The engineer writes clean, efficient & maintainable code, applies responsible AI & software engineering practices, troubleshoots moderately complex issues & participates in code reviews and knowledge sharing while contributing to iterative delivery, production reliability & continuous product improvement.
Key Accountabilities
Qualifications
The Software Engineer partners with cross-functional product teams to design, develop & maintain scalable software and AI-enabled solutions that address user needs & deliver measurable business value across the Food NA enterprise. Working with limited supervision in an agile, product-focused environment, this role contributes throughout the product lifecycle, from discovery & iterative development through deployment, support & continuous improvement. The engineer writes clean, efficient & maintainable code, applies responsible AI & software engineering practices, troubleshoots moderately complex issues & participates in code reviews and knowledge sharing while contributing to iterative delivery, production reliability & continuous product improvement.
Key Accountabilities
- Designs, develops & maintains high-quality software and AI-enabled solutions using modern engineering practices, writing clean, scalable & maintainable code that delivers measurable business value.
- Collaborates within an agile, cross-functional product team to understand customer needs, refine requirements, participate in product discovery & deliver solutions that achieve business outcomes.
- Applies DevOps, CI/CD, cloud-native & automation practices to improve deployment reliability, engineering productivity, operational excellence & time-to-market.
- Implements automated testing, observability & quality engineering practices to ensure software and AI solutions are secure, reliable, scalable & performant.
- Contributes to the design, development, evaluation & deployment of AI-enabled capabilities, applying responsible AI, prompt engineering, model integration, retrieval techniques & governance standards to deliver trusted business outcomes.
- Contributes to continuous improvement by reducing technical debt, improving engineering standards, adopting emerging technologies including AI capabilities where appropriate & sharing best practices across teams.
- Demonstrates ownership of products and services in production by monitoring health, responding to incidents, participating in root cause analysis & implementing long-term improvements that enhance reliability and user experience.
- Other duties as assigned.
Qualifications
- Bachelor's degree in a related field with relevant work experience of minimum 4 years.
- Experience working with Python, React.js, Java, Postgres SQL, CSS, AWS
- Experience using tools like Jira, Confluence, GitHub
- Experience working with automated pipelines for continuous integration, testing, delivery and security
- Experience architecting applications, databases, services, or integrations.
- Minimum of four years of related work experience.
- Proven ability to quickly learn new languages and platforms.
- Experience using AI-powered engineering tools and assistants to accelerate software development, testing, documentation, troubleshooting, automation, and overall developer productivity.
- Experience developing and supporting full-stack solutions, including front-end applications, APIs, integrations, data services, and cloud-native platforms.
- Experience working within Agile product teams, collaborating with product managers, designers, architects, and engineers to deliver customer-focused solutions through iterative development and continuous improvement.
- Experience building automated pipelines for continuous integration, testing, delivery and security or working with these types of automations.
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