Full-Stack Engineer

Slip Robotics•Atlanta, GA

About The Position

Slip Robotics builds autonomous robotic systems for warehouse logistics. We are a venture-backed, fast-growing team where technology, data, and AI are core to how we operate — not just what we sell. Our Digital Solutions team builds the internal tools, workflow automations, enterprise integrations, and governed systems that keep the company scaling efficiently. The Role We are hiring a Full-Stack Engineer to own technically complex projects end-to-end within Slip’s Digital Solutions function. This role carries a heavier emphasis on software architecture, system design, and production-grade engineering — you will design the systems that internal tools live inside, not just write features within them. You will build deep context across Slip’s data infrastructure and enterprise system landscape, and use that context to architect integration layers, internal applications, and platform components that are reliable, scalable, and maintainable. AI is a daily accelerant. You will use AI tools for code generation, prototyping, testing, and integration work, and contribute to the team’s shared development standards for AI-assisted engineering.

Requirements

5+ years of professional software engineering experience with strong full-stack capabilities (modern frontend, backend services, relational and document databases, REST/GraphQL APIs).
Demonstrated ability to architect systems end-to-end — not just write features, but design the structure that features live inside.
Experience building and maintaining enterprise integrations (ERP, CRM, or similar SaaS platform APIs).
Proficiency in at least two of: Python, TypeScript/Node.js, React. Experience with PostgreSQL and familiarity with DynamoDB or NoSQL databases.
Strong AI fluency — active use of AI coding assistants, LLM APIs, and AI-assisted development workflows as part of daily practice.
Experience with AWS, containerization, and CI/CD automation.
Production engineering mindset — monitoring, alerting, error handling, and documentation are not afterthoughts.

Nice To Haves

Experience with data engineering tools (Snowflake, dbt, Airflow, or similar).
Background in robotics, logistics, manufacturing, or hardware companies.
Familiarity with SOC 2 compliance environments and secure development practices.
Experience contributing to shared SDKs, component libraries, or internal developer platforms.

Responsibilities

Architect and implement internal applications, cross-system integrations, and workflow automations with a focus on scalability and reliability.
Build and maintain integration layers connecting enterprise systems (NetSuite, HubSpot, Propel PLM, and others) — APIs, data synchronization pipelines, and event-driven workflows.
Productionize prototypes and team-built utilities to production standards with proper error handling, monitoring, documentation, and automated testing.
Use AI-assisted development daily. Contribute to shared AI development standards and reusable components.
Support platform infrastructure, CI/CD pipelines, and deployment workflows. Ensure tools meet security and compliance requirements.
Serve as a technical resource across the organization — evaluate integration feasibility, advise teams on technical approaches, and contribute to architecture reviews.