- Страна
- США
- Зарплата
- 136 000 $ – 185 000 $
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Software Engineer, Backend (Infrastructure)
Отличная позиция в топовой AI-компании с прозрачной вилкой зарплаты и интересным стеком технологий. Работа на стыке инфраструктуры и искусственного интеллекта обеспечивает высокий потенциал для профессионального роста.
Сложность вакансии
Роль требует глубоких знаний в области распределенных систем и баз данных (Kafka, Cassandra, Redis), а также опыта работы с AI-инфраструктурой. Высокая планка ожиданий к архитектурным навыкам и опыту работы с высоконагруженными Python-сервисами.
Анализ зарплаты
Предложенная зарплата ($136k - $185k) полностью соответствует рыночным стандартам для опытных инженеров в Кремниевой долине (Mountain View). Верхняя граница диапазона является конкурентоспособной для уровня Senior/Staff в компаниях среднего размера.
Сопроводительное письмо
I am writing to express my strong interest in the Software Engineer, Backend (Infrastructure) position at Otter.ai. With a solid background in developing scalable web services and a deep proficiency in Python and Django, I am excited about the opportunity to contribute to a platform that is fundamentally changing how meetings and conversations are captured and utilized. My experience in architecting distributed systems using Kafka, Redis, and MySQL aligns perfectly with your need for robust infrastructure to support AI-driven features.
Throughout my career, I have focused on building high-performance backend systems and optimizing data pipelines, which I believe is crucial for the real-time transcription and summarization services Otter.ai provides. I am particularly drawn to this role because of the unique challenge of integrating complex machine learning models into a seamless production environment. I am confident that my technical expertise in AWS and database internals, combined with my passion for delivering impactful solutions, will make me a valuable asset to your engineering team.
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Описание вакансии
The Opportunity
Are you an experienced Software Engineer, Backend (Infrastructure) looking to make a significant impact at the intersection of scalable web services and cutting-edge AI technologies? We're seeking a talented engineer to lead the development, deployment, and management of web services and infrastructure that empower AI-driven products and initiatives. As part of our dynamic engineering team, you'll collaborate closely with AI researchers, product managers, and technologists to deliver innovative solutions that transform the experiences of end-user professionals and enterprise clients across diverse industries.
Your Impact
- Leverage your extensive experience in Python to build and enhance backend systems that seamlessly integrate with machine learning and AI-driven features.
- Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with MySQL.
- Architect scalable solutions utilizing technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to support sophisticated AI models and workflows.
- Write reusable, efficient, and maintainable code that underpins our high-performance web services and supports real-time AI analytics.
- Collaborate closely with AI teams to streamline data pipelines, optimize model deployment, and ensure backend systems effectively support AI-based product features.
- Communicate effectively with stakeholders across multiple teams, clearly articulating technical strategies related to AI-enabled infrastructure.
We're looking for someone who
- Has 2+ years of experience in developing and architecting large-scale web services, preferably with exposure to supporting AI systems.
- Holds a Bachelor's, Master's, or Ph.D. in Computer Science or a related field.
- Demonstrates strong expertise in databases, distributed systems, backend performance optimization, and familiarity with backend requirements for machine learning infrastructure.
- Possesses expert proficiency in Python or other programming languages such as Go, Java, or C++.
- Has extensive experience with web frameworks like Django and is comfortable integrating systems with technologies such as MySQL, Redis, Elasticsearch, Kafka, and Cassandra, particularly in support of AI workflows.
- Demonstrates a solid understanding of database internals, transactions, indexing, and experience in schema design optimized for AI data workloads.
- Has hands-on experience deploying and managing services on AWS, particularly those interfacing with machine learning platforms.
- Is driven by ownership and passionate about delivering impactful solutions from conception to deployment, especially in collaborative environments with AI-focused teams.
- Brings substantial production server experience or equivalent backend expertise to the table.
- Has excellent communication skills, a genuine curiosity for technology, and meticulous attention to detail.
Nice to haves
- Familiarity with HTTP, networking principles, and API design patterns beneficial to AI integrations.
- Experience with operating systems, particularly Linux, and an understanding of their interactions with AI applications and services.
About Otter.ai
We are in the business of shaping the future of work. Our mission is to make conversations more valuable.
With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.
Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process.
Accessibility & Accommodations
Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process. If you need assistance or an accommodation during any stage of the recruitment process, please contact hr@otter.ai at least 3 business days before your interview.
\*Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.
Salary range
Salary Range: $136,000 to $185,000 USD per year.
This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package.
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Навыки
- Python
- Django
- MySQL
- Nginx
- Kafka
- Cassandra
- Redis
- ElasticSearch
- AWS
- Go
- Java
- C++
- Linux
- Distributed Systems
- API Design
Возможные вопросы на собеседовании
Проверка понимания работы с высоконагруженными очередями сообщений, критичными для обработки транскрипций в реальном времени.
Как бы вы спроектировали систему обработки потоковых данных с использованием Kafka, чтобы минимизировать задержку при передаче данных в AI-модели?
Вакансия требует глубокого понимания баз данных для хранения больших объемов данных.
В каких случаях для инфраструктуры Otter.ai вы бы предпочли Cassandra вместо MySQL, и как это повлияет на консистентность данных?
Важно понимать, как кандидат обеспечивает стабильность системы при интеграции тяжелых AI-вычислений.
Опишите ваш опыт оптимизации производительности Django-приложения, которое взаимодействует с внешними ML-сервисами.
Проверка навыков проектирования отказоустойчивых систем в облаке.
Как вы организуете масштабирование инфраструктуры в AWS при резком скачке количества одновременных пользователей (например, во время крупных конференций)?
Роль предполагает тесное взаимодействие с исследователями AI.
Расскажите о случае, когда вам приходилось адаптировать backend-инфраструктуру под специфические требования команды Data Science. С какими трудностями вы столкнулись?
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- Страна
- США
- Зарплата
- 136 000 $ – 185 000 $