Senior Software Engineer, Recommendations

Lyft · Toronto, Canadasenior

En corto

▸Ingeniero de software senior que construye sistemas de recomendación para pasajeros de Lyft.
▸Diseña y lidera sistemas escalables en tiempo real que usan inteligencia artificial para ofrecer ofertas personalizadas.
▸Destaca por liderar innovación con herramientas de IA como Copilot y fomentar el crecimiento del equipo.

Excellent communication skills

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓5+ años de experiencia en ingeniería de software o infraestructura de producción.
✓Experiencia sólida con Python y Go.
✓Conocimiento en plataformas en la nube (AWS, GCP o Azure), sistemas distribuidos y bases de datos como PostgreSQL o DynamoDB.
✓Proficiencia en el uso de herramientas de IA para acelerar el desarrollo (ej. Copilot, Claude Code, Cursor).
✓Experiencia en programación orientada a objetos y estructuras/algoritmos de datos.
✓Capacidad para mentorizar y colaborar con equipos multidisciplinarios con bajo ego.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonGoAWSGCPAzurePostgreSQLDynamoDBAI tools (e.g. Copilot, Claudefeature storesonline/offline experimentation

¿A quién escribirle en Lyft?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empowers us to iterate quickly, while focusing on delighting our passengers and drivers. The Applied AI team is looking for a senior software Engineer to join the Recommendations team. You will build the backend systems that decide what we surface to riders. You will architect the pipelines and services that turn rider context and signals into the right offer at the right moment, driving a measurable impact on rider experience. Responsibilities: • Establish engineering best practices and patterns; help uplift the team's craft and drive a culture of engineering excellence • Drive high-impact projects and innovate new solutions to deliver the best user experience • Produce and drive scalable system design for large, complex features — from idea through execution and launch • Mentor engineers on the team, providing technical guidance and supporting their growth • Champion and evangelize the use of AI tools to accelerate engineering productivity across the team, sharing patterns and best practices that raise the bar for how the team builds • Write well-crafted, well-tested, readable, maintainable code • Participate in code reviews to ensure code quality and share knowledge across the team • Participate in the team's on-call rotation; identify, triage, debug, and resolve issues across our applications and platforms • Excellent communication skills and the ability to explain the various trade offs made in decisions • Manage project priorities, deadlines, and deliverables. Experience: • BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience. • 5+ years of software engineering/production infrastructure industry experience. • Experience with Python and Go. • Experience with cloud platforms (AWS, GCP, or Azure), distributed systems, and databases such as PostgreSQL or DynamoDB • Proficient and effective in using AI tools (e.g. Copilot, Claude Code, Cursor) to accelerate coding and engineering workflows • Proficiency in object-oriented programming. • Experience working with data structures or algorithms. • Ability to work with a low-ego, highly collaborative, and cross-functional team. • Bonus points: Experience building real-time serving systems for ML models, working with recommendation or ranking systems, feature stores, or online/offline experimentation frameworks. Benefits: • Extended health and dental coverage options, along with life insurance and disability benefits • Mental health benefits • Family building benefits • Child care and pet benefits • Access to a Lyft funded Health Care Savings Account • RRSP plan to help save for your future • In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service • Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible. • Subsidized commuter

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