Senior Software Engineer, AI-Native Platform (Remote)

ezCater is the #1 food tech platform for workplaces in the US. They are hiring senior software engineers to build shared platform capabilities across administration, integrations, and transaction-heavy product experiences, focusing on backend services and AI-native software development.

Responsibilities:

• Build shared services, APIs, and workflows that support administrative experiences, integrations, and core platform capabilities
• Design reliable backend systems for cross-domain business flows and operationally critical use cases
• Apply AI effectively throughout the software lifecycle, including implementation planning, coding, review, testing, and quality improvement
• Contribute reusable engineering skills, patterns, and guidance that improve how teams work with AI
• Partner with product, design, and engineering peers to turn ambiguous problems into well-scoped, high-quality deliveries
• Own quality through testing, observability, safe rollout practices, and production issue investigation

Requirements:

• 5+ years of strong software engineering experience building backend systems and APIs in production
• Strong fluency with AI-assisted software delivery and clear judgment about where AI helps and where rigor matters most
• A practical understanding of AI-native workflows, including structured context, iterative loops, and high-quality review and testing practices
• Experience in Go, or deep proficiency in a comparable backend language such as Java
• Experience building and operating transactional databases such as Postgres, RDS, or Aurora, including schema design, migrations, query performance, and reliability
• Experience designing APIs, service boundaries, data models, and integration patterns in distributed systems
• Comfort with workflow orchestration, event-driven architectures, and operational complexity
• A strong quality mindset across testing, CI/CD, telemetry, and production ownership
• Strong communication and a high-ownership approach to technical execution
• Experience building shared platform capabilities used by multiple teams or products
• Experience in fintech, payments, spend controls, ledgering, or other transaction-heavy systems
• Experience with admin systems, integration platforms, or enterprise workflow products
• Experience helping teams adopt more effective AI-assisted engineering practices