- Страна
- Канада
- Зарплата
- 108 000 ₽ – 135 000 ₽
Откликайтесь
на вакансии с ИИ

Software Engineer, Data Pipelines
Lyft — престижный работодатель с сильной инженерной культурой и отличным пакетом льгот. Гибридный график в Торонто и работа с высоконагруженными системами делают вакансию очень привлекательной для инженеров среднего уровня.
Сложность вакансии
Роль требует уверенных знаний в области распределенных систем (Kafka) и облачной инфраструктуры (AWS). Высокая планка ответственности за стабильность платформы и участие в on-call ротациях повышают сложность позиции.
Анализ зарплаты
Предлагаемый диапазон 108k–135k CAD соответствует рыночным ожиданиям для Software Engineer в Торонто, однако находится ближе к нижней и средней границе для компаний уровня Tier-1. С учетом бонусов и акций (equity) совокупный доход может быть значительно выше.
Сопроводительное письмо
I am writing to express my interest in the Software Engineer, Data Pipelines position at Lyft. With over two years of experience in software development and a strong background in managing large-scale infrastructure on AWS, I am confident in my ability to contribute to the reliability and scalability of your data streaming platforms. My expertise in Go and Python, combined with hands-on experience using Terraform and Kubernetes, aligns perfectly with the technical requirements of your Infrastructure team.
In my previous roles, I have focused on automating repetitive tasks and optimizing system performance to meet demanding service-level objectives. I am particularly impressed by Lyft's commitment to open-source projects like Envoy Proxy and would be thrilled to bring my passion for building robust distributed systems to the Data Pipelines team. I am eager to help maintain the Kafka-based infrastructure that powers critical services for millions of users while collaborating with your cross-functional teams in Toronto.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в lyft уже сейчас
Присоединяйтесь к команде Lyft в Торонто и создавайте масштабируемые системы обработки данных, которыми пользуются миллионы!
Описание вакансии
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 Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as Envoy Proxy, we open source our ideas for the benefit of others.
As a Infrastructure Engineer at Lyft, you will run our Production Infrastructure by monitoring system availability and take a holistic view of our platform health. You will build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you will seek opportunities to optimize our systems in order to push our platform forward, anticipating our customers' needs in order to continually improve the platform. You will provide Lyft partner teams with operational support to help them build robust large scale distributed systems.
About the team
Data Pipelines is at the heart of all critical data flowing through Lyft supporting hundreds of services that impact millions of drivers and passengers every day. We support Kafka as our primary data streaming platform and offer a number of services to manage data and make it available to our internal customers.
Responsibilities:
- Maintain and analyze metrics from; operating systems; control planes; and applications to assist in fault detection and performance enhancement
- Design, develop and deploy tooling and systems that continually improve the reliability, scalability and efficiency of our platform
- Balance feature development speed and reliability with service-level objectives
- Operate and improve our Infrastructure using industry best practices and tools
- Participate in design and production readiness reviews, platform management and capacity planning ceremonies with cross-functional teams
- Document Infrastructure operations process and insights, identify repeatable actions and ruthlessly automate repetitive tasks
- Participate in our teams on-call rotations, respond to incidents and support other teams mitigate customer impacting events
Experience:
- 2+ years experience working on teams responsible for software development, automation and systems engineering
- Ability to create production ready code in one or more high level languages, such as Go Lang, Python
- Experience operating large scale infrastructure in public cloud environments, such as AWS
- Prior infra experience with infra tooling (Terraform, Cloud Formation, Docker, Kubernetes, Ansible, Chef, Puppet etc preferably in an AWS context)
- Experience identifying nascent problems, performance bottlenecks and areas for improvement and developing and executing plans to mitigate them
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 commuter benefits and Lyft ride credits
Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
This job fills an existing vacancy.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Go
- Python
- AWS
- Kafka
- Terraform
- Kubernetes
- Docker
- Ansible
- CloudFormation
- Distributed Systems
Возможные вопросы на собеседовании
Вакансия сфокусирована на Kafka как основной платформе. Важно понимать внутренние механизмы для обеспечения надежности.
Как бы вы спроектировали систему мониторинга для кластера Kafka, чтобы минимизировать задержки (latency) и предотвратить потерю данных?
Lyft активно использует инфраструктуру как код. Вопрос проверяет опыт работы с инструментами автоматизации.
Опишите ваш опыт использования Terraform для управления ресурсами в AWS. С какими основными трудностями вы сталкивались при масштабировании инфраструктуры?
Позиция подразумевает участие в дежурствах и устранение инцидентов.
Расскажите о самом сложном инциденте в продакшене, который вы устраняли. Как вы определили первопричину и что предприняли для предотвращения повторения ситуации?
Вакансия требует владения Go или Python для автоматизации.
В каких случаях вы выберете Go вместо Python для написания инструмента автоматизации инфраструктуры и почему?
Работа с данными требует понимания масштабируемости.
Как вы обеспечиваете плавное масштабирование сервисов в Kubernetes при резких скачках трафика?
Похожие вакансии
.NET разработчик Middle+ , Senior
Старший разработчик C++
Senior Java Developer
Middle+ Java-разработчик
Senior Python-разработчик
Senior Python Developer
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- Канада
- Зарплата
- 108 000 ₽ – 135 000 ₽