Senior Software Engineer

Join to apply for the Senior Software Engineer role at Curio Wellness

$ - $

Contact Information:
Casey Ryan -

At Curio Wellness we empower people to thrive by adapting plant nature to human nature. We are committed to transforming the conversation around cannabis, fostering a deeper understanding of its benefits, and ensuring that every product we offer meets the highest standards.

Be bold. Be exceptional. Be well.

We are looking for a Full Stack Data, Application & AI Engineer to build and integrate the data platforms, applications, and AI-powered capabilities that will drive Curio’s next stage of growth.

• Data engineering & data architecture
• Full stack application development
• AI/ML enablement & integration
• Data governance & data quality engineering

Please note: This position involves working with plant material, which may include exposure to pollen, allergens, and other plant-related substances. We recommend that applicants with known plant allergies or sensitivities consult with a healthcare professional before applying for this position.

• Design, build, and maintain scalable data pipelines and system integrations (ETL/ELT).
• Develop and enhance the enterprise data warehouse/lake house, including schemas, dimensional models, and performance tuning.
• Implement automated data validation, testing, and monitoring to ensure reliability and trustworthiness.

• Build and maintain internal applications, dashboards, and tools that expose data and AI capabilities to end users.
• Build secure, modular back-end services (APIs, microservices) supporting internal workflows and analytics.
• Develop intuitive front-end interfaces using modern frameworks.
• Integrate applications with enterprise systems, cloud services, and external platforms.

• Prepare and structure datasets to support AI/ML training, inference, and deployment.
• Partner with analytics and business teams to deploy models into production applications or automated processes.
• Build pipelines, services, and monitoring to support model lifecycle management.
• Integrate LLM-based capabilities into internal tools, workflows, or end-user applications where applicable.

• Implement and maintain data governance standards, including naming conventions, metadata, lineage, and access controls.
• Ensure data accuracy, consistency, and completeness across systems by establishing validation rules, profiling, and automated checks.
• Partner with business owners to define data definitions, ownership, and stewardship for key entities and metrics.
• Build and maintain role-based access and data security policies in accordance with compliance requirements.
• Promote a culture of trusted data by ensuring that all analytics, applications, and AI models use governed, high-quality data.

• Write clean, maintainable, thoroughly tested code; participate in code reviews and design critiques.
• Use CI/CD pipelines and best Dev Ops practices for automated build, testing, and deployment.
• Implement secure engineering practices: secrets management, encryption, least-privilege access, and audit logging.
• Set up monitoring, observability, and alerts for data pipelines, applications, and model endpoints.

• Translate business requirements into technical designs, user stories, or prototypes.
• Work with product, operations, finance, and retail to understand needs and deliver scalable solutions.
• Break complex work into iterative deliverables and participate in Agile ceremonies.
• Contribute to internal standards, documentation, and engineering best practices.

• 5+ years across software engineering and/or data engineering roles.
• Strong experience with Python, SQL, and at least one modern back-end framework.
• Experience building end-to-end web applications (front‑end + back‑end + database).
• Cloud platform experience (AWS preferred, Azure/GCP ok).
• Proven experience building data pipelines, data models, and integrations between business systems.
• Familiarity with AI/ML workflows and model deployment concepts.
• Experience with Git, code…