• As a Fullstack Software Engineer on the Catering team at Olo, you will design, build, and monitor solutions that facilitate the online ordering, management, and effortless transmission of high-value Catering orders to our customers. • Our team's mission is to create tools and features that support restaurant operations for the accurate production of catering orders and ensure our guests are served on time and without interruption. • We aim to collaborate well. We encourage new ideas and experimentation. No part of the codebase is off-limits. You'll work with a passionate team dedicated to delivering amazing products using modern technologies.

• Design, build, and maintain scalable, high-quality applications across new and existing product lines • Own features end-to-end — from architecture and development through testing, deployment, and iteration • Architect and evolve our core stack (Python, FastAPI, Vue.js, PostgreSQL, Redis, Docker, Kubernetes) • Translate complex business and product requirements into elegant, reliable technical solutions in collaboration with Product and business stakeholders • Drive improvements in performance, reliability, testing, and CI/CD practices • Mentor engineers and contribute to a culture of engineering excellence and accountability • Perform other duties as assigned.

About the Opportunity Flatiron School is offering an apprenticeship opportunity for early-career developers to earn income while learning. Apprentices will enroll in Flatiron’s AI and Data Science part-time bootcamp and be matched with one of our employer partners for a paid apprenticeship throughout the duration of your course. This is a unique opportunity to develop skills in AI and data science while gaining hands-on industry experience. As an apprentice, you’ll contribute to software products, collaborate with experienced engineers, and build your portfolio with production-ready work. At the same time, you’ll deepen your understanding of data and machine learning to become a more versatile, full-stack software developer. This is a full-time opportunity, 40 hours/week (20 hours coursework and 20 hours apprentice work) for a 14-month program. The apprenticeship earnings will cover the tuition cost of the bootcamp. What You'll Do - Attend and complete the part-time Data Science Bootcamp as part of the apprenticeship - Contribute to software projects for your host company - Write clean, maintainable and testable code using modern frameworks and tools - Collaborate in sprint-based workflows and participate in code reviews - Support feature development, debugging, documentation, and QA processes - Build your portfolio of production-level work while growing your technical and collaborative skills - Receive ongoing mentorship from senior developers and product leaders What You'll Learn - How engineering and data science intersect in modern AI products - Practical agile development workflows in a collaborative environment - Best practices for writing clean, maintainable, production-quality code - How to build and ship features with real user needs and product strategy in mind - How to apply data thinking to software engineering challenges What We're Looking For Requirements: - Must be currently living in the U.S. - Must be authorized to work in the U.S. We do not offer any visa sponsorship at this time - including H-1B, STEM OPT, and F-1 visa transfers. - Must be available 40 hours/week for 14 months to complete the Flatiron School Data Science Bootcamp and for apprenticeship work - Have a degree in Computer Science, Data Science/Analytics, Mathematics, or Economics OR have recently completed a software engineering bootcamp (strongly preferred); self-taught developers are also encouraged to apply - Not currently enrolled in a college/university or bootcamp program - Programming proficiency in at least one modern language (e.g., JavaScript, Python, Java) - Familiarity with frontend and backend web development concepts - Working knowledge of databases (SQL or NoSQL) and how to query or integrate them Preferred Skills: - Awareness of testing, debugging, and code review practices - Strong communication and collaboration skills - Accountability in managing time and meeting small milestones - Curiosity, initiative, and a strong desire to grow into a multidisciplinary developer Compensation & Commitments - Hourly Pay: $20/hour for 20 hours/week paid through an employer partner (hiring entity) on their internal payroll cadence, 14-month commitment - Tuition Coverage: Commit to pay the full $11,900 bootcamp tuition, through a monthly installment payment plan to Flatiron School - Hours: 40 hours per week total - 20/week in apprenticeship role, 20/week in part-time bootcamp courses

About the Opportunity Flatiron School is offering an apprenticeship opportunity for early-career developers to earn income while learning. Apprentices will enroll in Flatiron’s AI part-time bootcamp and be matched with one of Bletchley Fellowship’s employer partners for a paid apprenticeship throughout the duration of your course. This is a unique opportunity to develop skills in AI and data science while gaining hands-on industry experience. As an apprentice, you’ll contribute to software products, collaborate with experienced engineers, and build your portfolio with production-ready work. At the same time, you’ll deepen your understanding of data and machine learning to become a more versatile, full-stack software developer. This is a full-time opportunity, 40 hours/week (20 hours coursework and 20 hours apprentice work) for 14 months. The apprenticeship earnings will more than cover the tuition cost of the bootcamp. What you'll do - Attend and complete the Flatiron School Data Science Bootcamp as part of the apprenticeship - Contribute to software projects for your host company - Write clean, maintainable and testable code using modern frameworks and tools - Collaborate in sprint-based workflows and participate in code reviews - Support feature development, debugging, documentation, and QA processes - Build your portfolio of production-level work while growing your technical and collaborative skills - Receive ongoing mentorship from senior developers and product leaders What you'll learn - How engineering and data science intersect in modern AI products - Practical agile development workflows in a collaborative environment - Best practices for writing clean, maintainable, production-quality code - How to build and ship features with real user needs and product strategy in mind - How to apply data thinking to software engineering challenges What we're looking for Requirements: - Must be currently living in the U.S. - Must be authorized to work in the U.S. We do not offer any visa sponsorship at this time - including H-1B, STEM OPT, and F-1 visa transfers. - Must be available 40 hours/week for 14 months to complete the Flatiron School Data Science bootcamp and for apprenticeship work - Have a degree in Computer Science, Data Science/Analytics, Mathematics, or Economics OR have recently completed a software engineering bootcamp (strongly preferred); self-taught developers are also encouraged to apply - Not currently enrolled in a college/university or bootcamp program - Programming proficiency in at least one modern language (e.g., JavaScript, Python, Java) - Familiarity with frontend and backend web development concepts - Working knowledge of databases (SQL or NoSQL) and how to query or integrate them Preferred Skills: - Awareness of testing, debugging, and code review practices - Strong communication and collaboration skills - Accountability in managing time and meeting small milestones - Curiosity, initiative, and a strong desire to grow into a multidisciplinary developer Compensation & Commitments - Hourly Pay: $20/hour for 20 hours/week paid through an employer partner (hiring entity) on their internal payroll cadence, 14-month commitment - Tuition Coverage: Commit to pay the full $11,900 bootcamp tuition, through a monthly installment payment plan to Flatiron School - Hours: 40 hours per week total - 20/week in apprenticeship role, 20/week in part-time bootcamp courses