Solomon Page
Overview
We’re looking for a Senior Application Engineer to design and build the applications and services that bring AI / ML insights to life for end users. This role bridges the gap between raw data / models and the user experience—delivering intuitive, performant, and scalable solutions. You will work across the full stack, from server-side APIs and microservices to engaging front-end interfaces, while ensuring seamless integration with our AI / ML ecosystem. Compensation: $120-140k base + 15% bonus + full benefits Responsibilities
Develop full-stack applications and workflows with modern architectures, following 12-factor app principles. Build and maintain backend services in programming stack such as Python, TypeScript, Node.js, or Java. Design and implement RESTful APIs and containerized services for application delivery. Create intuitive, high-performance front-end experiences using frameworks like React, Vue.js, or Angular. Collaborate closely with Solutions Architects to ensure application design aligns with business and technical requirements. Implement cloud-native solutions on Google Cloud or Azure, including containerization, async events, and cloud managed services. Work with relational and NoSQL databases (MySQL, PostgreSQL, MongoDB), including schema management and database schema migration tools. Apply testing frameworks and best practices to ensure application quality, performance, and scalability. Participate in Agile ceremonies—daily scrums, sprint planning, architecture / design sessions. Contribute to automation, CI / CD strategies, and release management. Ensure code quality, security, and adherence to non-functional requirements. Required Qualifications
4+ years of professional software development experience with full-stack applications. Strong proficiency in one or more backend stack (Python, TypeScript, Node.js, Java). Experience building RESTful APIs and containerized services (Docker, Kubernetes). Strong front-end skills with React, Vue.js, or Angular. Experience with Google Cloud or Azure services for application deployment and scaling. Solid understanding of microservices architecture and 12-factor app methodology. Strong database experience with MySQL, MongoDB, PostgreSQL, or SQL Server. Familiarity with configuration and secret management tools. Knowledge of testing frameworks and Agile / Scrum methodologies. Excellent troubleshooting, debugging, and system design skills.
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We’re looking for a Senior Application Engineer to design and build the applications and services that bring AI / ML insights to life for end users. This role bridges the gap between raw data / models and the user experience—delivering intuitive, performant, and scalable solutions. You will work across the full stack, from server-side APIs and microservices to engaging front-end interfaces, while ensuring seamless integration with our AI / ML ecosystem. Compensation: $120-140k base + 15% bonus + full benefits Responsibilities
Develop full-stack applications and workflows with modern architectures, following 12-factor app principles. Build and maintain backend services in programming stack such as Python, TypeScript, Node.js, or Java. Design and implement RESTful APIs and containerized services for application delivery. Create intuitive, high-performance front-end experiences using frameworks like React, Vue.js, or Angular. Collaborate closely with Solutions Architects to ensure application design aligns with business and technical requirements. Implement cloud-native solutions on Google Cloud or Azure, including containerization, async events, and cloud managed services. Work with relational and NoSQL databases (MySQL, PostgreSQL, MongoDB), including schema management and database schema migration tools. Apply testing frameworks and best practices to ensure application quality, performance, and scalability. Participate in Agile ceremonies—daily scrums, sprint planning, architecture / design sessions. Contribute to automation, CI / CD strategies, and release management. Ensure code quality, security, and adherence to non-functional requirements. Required Qualifications
4+ years of professional software development experience with full-stack applications. Strong proficiency in one or more backend stack (Python, TypeScript, Node.js, Java). Experience building RESTful APIs and containerized services (Docker, Kubernetes). Strong front-end skills with React, Vue.js, or Angular. Experience with Google Cloud or Azure services for application deployment and scaling. Solid understanding of microservices architecture and 12-factor app methodology. Strong database experience with MySQL, MongoDB, PostgreSQL, or SQL Server. Familiarity with configuration and secret management tools. Knowledge of testing frameworks and Agile / Scrum methodologies. Excellent troubleshooting, debugging, and system design skills.
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