Senior Software Engineer Backend / Full Stack (Data and Reporting)

SpotOn develops technology solutions for independent restaurants, including an award-winning point-of-sale system and AI-powered profit tools. The company is recognized as the #1 Restaurant POS by G2 (Fall 2025) and top-rated by Capterra users, with multiple workplace awards. The role is part of the Data and Reporting team focused on scalable data systems and infrastructure.

• 5+ years of professional backend or full-stack software engineering experience.
• Strong proficiency in Python; experience with Go and TypeScript or JavaScript.
• Solid experience building and consuming RESTful APIs with strong understanding of API design best practices.
• Proficiency with React for building and maintaining complex component architectures and data-driven UIs.
• Experience with relational and NoSQL databases, especially PostgreSQL and MongoDB.
• Familiarity with cloud services, particularly AWS (IAM, S3, RDS, Lambda).
• Comfortable with containerization and orchestration tools such as Docker and Kubernetes.
• Strong experience with CI/CD pipelines and modern DevOps methodologies.
• Strong communication skills and ability to collaborate with cross-functional teams.
• Ability to make sound product and technical decisions independently.

Nice to have:

• Experience with infrastructure as code (IaC) tools and best practices.
• Background or interest in data engineering concepts and tools like ClickHouse, Kafka, Snowflake, or ETL pipelines.
• Knowledge of data observability and monitoring tools including Grafana and OpenTelemetry.
• Experience building analytics dashboards or reporting interfaces.
• Experience in the restaurant or hospitality technology sector.

• Design and build scalable RESTful APIs and backend services for merchant-facing reporting and analytics features.
• Develop full-stack features end-to-end, including backend data models, APIs, frontend components, and data visualizations.
• Build and maintain responsive, accessible reporting dashboards and chart visualizations.
• Collaborate with product managers, designers, and data engineers to define requirements and deliver high-quality experiences.
• Contribute to system architecture decisions including cloud infrastructure (AWS), containerization, and CI/CD pipeline improvements.
• Conduct code reviews, establish technical standards, and mentor junior and mid-level engineers.
• Implement monitoring, logging, and alerting solutions to ensure platform reliability and observability.