Software Engineer, Routing

Lyft · Toronto, Canadamid

En corto

▸Ingeniero de software que mejora motores de ruta para millones de viajes diarios.
▸Trabajas con C++, Go, Python, AWS y herramientas como Kafka, Flink, Airflow en servicios de datos en tiempo real.
▸Un dato destacado: tu trabajo impacta directamente en la eficiencia, seguridad y costo de viajes de usuarios y conductores.

Excellent communication skills, with the ability to articulate technical concepts clearly

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?

✓3+ años de experiencia en ingeniería de software
✓Experto en programación orientada a objetos en Go, C++ o Python
✓Experiencia con cloud (AWS, GCP o Azure)
✓Experiencia con pipelines de datos distribuidos (Kafka, Flink, Airflow)
✓Habilidades de comunicación claras con equipos técnicos y no técnicos
✓Capacidad para trabajar en rotación de soporte en producción

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

AWSKubernetesApache AirflowFlinkKafkaC++GoPythonAImachine learning

¿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. Our transport network serves the needs of millions of people every day who want to get from one place to another using Lyft cars, bikes and scooters, with public transportation, or on foot in the most efficient way. To serve these needs, we need to suggest the fastest, most affordable and safest routes. We achieve this by processing millions of rides, taking into account the latest traffic information and analyzing the preferences of drivers. To strengthen our efforts, we are hiring a Software Engineer who will work on improving our routing engine, on building cloud-based services that can process millions of route requests per day and on creating workflows to process and analyze the data collected from our rides. For this we are looking for someone who has a strong background in software architecture and algorithms and understands at the same time how to build efficient data processing pipelines. Our technology stack is based on the latest technologies such as AWS, Kubernetes, Apache Airflow, Flink, and Kafka. We use AI and machine learning to improve development productivity, optimize customer support workflows, and enhance operational efficiency — all without compromising code quality or security. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that delight millions of passengers and drivers. Responsibilities: • Drive high-impact projects and innovate new solutions to provide the best routing experience possible • Build and deploy mission critical algorithms and services that can serve millions of requests per day (backend and data-streaming services written in C++, Go, and Python) • Analyze rides, understand customer pain points, prioritize and size feature requests and help design solutions based on our business needs • Create a resilient and scalable infrastructure (cloud-based services and workflows) that enables rapid iteration • Participate in our production on call rotation to maintain our services, ensuring their stability and reliability Experience: • BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience • 3+ years of professional software engineering experience • Extensive experience in object oriented programming, ideally in GoLang, C++, or Python • Hands-on experience with cloud computing using AWS, GCP or Azure • Experience with big data processing / distributed data pipelines and tools such as Apache Airflow, Flink, and Kafka • Excellent communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences while collaborating effectively across teams 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 with company match 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 commut

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