- Страна
- США
- Зарплата
- 170 000 $ – 200 000 $
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Senior Software Engineer, Edge
Отличная вакансия с конкурентной зарплатой, четким стеком технологий и возможностью работать над инновационным продуктом. Компания предлагает сильный соцпакет, включая опционы и бонусы.
Сложность вакансии
Высокая сложность обусловлена требованием к опыту более 8 лет и необходимостью глубоких знаний в Java/Scala, а также распределенных системах (Kafka, gRPC, Kubernetes). Роль предполагает работу на стыке софта и железа, что требует высокого уровня инженерной ответственности.
Анализ зарплаты
Предлагаемая зарплата ($170k - $200k) полностью соответствует рыночным стандартам для Senior-разработчиков в Сиэтле, одном из крупнейших технологических хабов США. Верхняя граница диапазона является весьма привлекательной даже для опытных инженеров.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Software Engineer, Edge position at Metropolis. With over 8 years of experience in backend development and a deep expertise in Java and Scala, I am particularly drawn to your mission of building the Recognition Economy. My background in designing high-performance gRPC APIs and managing complex event-driven architectures with Kafka aligns perfectly with the technical challenges described for the Advanced Technologies team.
In my previous roles, I have successfully deployed scalable microservices on Kubernetes and optimized data layers using Redis and MySQL to ensure low-latency performance. I am excited about the opportunity to integrate cutting-edge hardware with machine learning to model ground truth vehicle locations. I am a proactive collaborator who thrives in cross-functional environments, and I am eager to contribute to the innovative culture at Metropolis while building the next generation of responsive AI infrastructure.
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Откликнитесь в metropolis уже сейчас
Присоединяйтесь к Metropolis и создавайте будущее Recognition Economy, работая с передовыми технологиями на стыке AI и физического мира!
Описание вакансии
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.
Who you are
We are seeking a highly tenured Senior Software Engineer, Backend to join our Advanced Technologies team. In this role, you will design, develop, and maintain scalable backend systems that model ground truth vehicle location by integrating cutting-edge hardware with advanced machine learning. You'll work with a modern tech stack, including Java, Scala, GRPC (Protocol Buffers), Redis, MySQL, Kubernetes, and Kafka, to deliver high-performance, reliable services. If you are excited about solving complex technical challenges and working at the intersection of distributed systems, real-time data processing, and scalable infrastructure, we would love to hear from you.
What you'll do
- Build robust, scalable, and maintainable backend services in Java and Scala to support mission-critical operations
- Design and implement gRPC (Protocol Buffers) APIs to enable high-performance, real-time data transfer between services
- Leverage Redis and MySQL for efficient data storage and retrieval, ensuring reliability and low-latency access
- Deploy and manage microservices on Kubernetes, optimizing for scalability, resilience, and cost efficiency
- Work with Kafka to build scalable, event-driven architectures for real-time data streaming and processing
- Partner with Hardware, Machine Learning, and Operations teams to ensure seamless integration across the ecosystem and provide appropriate tooling
- Analyze and address bottlenecks in performance and scalability while maintaining a focus on system reliability and data integrity
What we're looking for
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
- 8+ years of experience in backend development, preferably within platform or core services
- Proven expertise in industry-standard programming languages, preferably Java and Scala
- Experience building GRPC (Protocol Buffers) APIs for efficient and reliable communication between services
- Strong understanding of database design and optimization using Redis and MySQL
- Familiarity with container orchestration and scaling using Kubernetes
- Hands-on experience with Kafka for event-driven architectures
- Exceptional analytical skills with a proven ability to tackle complex technical problems and design innovative solutions
- A team player with excellent communication skills and a proactive approach to working across teams
While not required, these are a plus:
- Exposure to frontend integration with frameworks like Next.js
When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to 200,000.00 USD annually. The actual base pay offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis’s total compensation package, which usually includes: healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-NM1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
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Навыки
- Java
- Scala
- gRPC
- Protocol Buffers
- Redis
- MySQL
- Kubernetes
- Kafka
- Microservices
- Distributed Systems
- Next.js
Возможные вопросы на собеседовании
Проверка опыта работы с высоконагруженными системами и понимания протоколов.
Расскажите о вашем опыте проектирования gRPC API: какие преимущества это дало проекту по сравнению с REST и с какими трудностями вы столкнулись?
Оценка навыков работы с очередями сообщений и понимания event-driven архитектуры.
Как вы обеспечиваете гарантии доставки сообщений и обрабатываете дубликаты в Kafka при построении систем реального времени?
Проверка умения оптимизировать производительность БД.
Опишите случай, когда вам приходилось оптимизировать запросы в MySQL или структуру данных в Redis для снижения задержек (latency).
Оценка опыта работы с Kubernetes в контексте масштабируемости.
Как вы подходите к настройке автомасштабирования и управлению ресурсами в Kubernetes для микросервисов с переменной нагрузкой?
Проверка способности работать в междисциплинарной команде.
Был ли у вас опыт тесного взаимодействия с командами Machine Learning или Hardware? Как вы выстраивали процесс интеграции данных?
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- Страна
- США
- Зарплата
- 170 000 $ – 200 000 $