Top Food Software Engineer Jobs

Lead implementation, maintenance, configuration, and optimization of the ERP and related systems. Gather requirements, build integrations and APIs, write SQL for reporting and validation, administer Linux VMs, support databases and middleware (including Common Lisp), produce documentation, train users, and mentor technical staff.

Lead design, development, integration, testing, deployment, and support of complex enterprise applications and integrations. Architect event-driven, API-first, and AI-enabled solutions, provide technical leadership, collaborate with stakeholders, and manage project delivery and production issues.

Build and ship high-quality product features, design robust architectures, lead technical execution, collaborate on product roadmap with leadership and GTM, and take projects end-to-end from planning through CI/CD and productionization.

Lead architecture and modernization of custom supply-chain applications; design scalable systems, lead Oracle-to-Postgres and GCP migrations, define architecture standards, mentor engineers, perform code reviews, and support cloud AI roadmap (Vertex AI/Agent Builder) while participating in on-call support.

Design, develop, and support custom business applications and integrations using RESTful APIs, C#, PHP, and SQL, while managing source control and troubleshooting issues.

As a Full Stack Engineer, you'll build end-to-end features for a platform supporting chefs and bakers, focusing on scalable systems and user experiences.

Lead an engineering team in developing technology solutions, ensuring performance and scalability. Mentor team members, promoting collaboration and innovation.

Lead WISEcode’s data platform and engineering teams to build AI-native, secure, observable data products. Replace single-gatekeeper deploys, enforce gold-by-code quality, implement medallion architecture, enable secure AI-friendly data access, and run automated agentic pipelines while managing data engineering ICs.

Design, implement, and maintain scalable full-stack systems; mentor engineers; use AI-assisted tooling; collaborate with product owners; improve performance, testing, and deployment; participate across the full product lifecycle.

Design and maintain scalable backend data systems, schemas, migrations, and high-throughput job pipelines. Build customer-facing product features, guide other engineers on data and API patterns, plan migrations/backfills, and ensure reliability and performance as usage grows.