- Страна
- США
- Зарплата
- 210 000 $ – 275 000 $
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Staff Software Engineer, Backend (Infrastructure)
Отличная вакансия в топовой AI-компании с прозрачным и высоким диапазоном зарплаты. Роль предлагает значительное влияние на продукт и работу с современным стеком технологий в Кремниевой долине.
Сложность вакансии
Высокая сложность обусловлена требованием к опыту более 10 лет и необходимостью глубоких знаний как в классическом бэкенде (Django, базы данных), так и в инфраструктуре для AI/ML. Роль уровня Staff подразумевает лидерство в принятии архитектурных решений для высоконагруженных систем.
Анализ зарплаты
Предложенная зарплата ($210k - $275k) полностью соответствует рыночным стандартам для позиции Staff Engineer в районе залива Сан-Франциско. Верхняя граница диапазона является весьма конкурентоспособной для компаний стадии роста.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Backend Engineer (Infrastructure) position at Otter.ai. With over a decade of experience in architecting high-scale distributed systems and a deep expertise in Python and Django, I have consistently delivered robust backend solutions that power complex, data-intensive applications. My background in managing large-scale databases like MySQL, Cassandra, and Redis, combined with hands-on experience in Kafka-driven architectures, aligns perfectly with Otter's mission to transform meeting data into actionable insights.
Throughout my career, I have focused on building scalable infrastructure that bridges the gap between core backend services and machine learning workflows. I am particularly drawn to Otter.ai because of your leadership in the AI transcription space and the technical challenge of supporting real-time analytics for millions of users. I am confident that my experience in optimizing backend performance and deploying resilient services on AWS will allow me to make an immediate impact on your engineering team and help scale the next generation of AI-driven features.
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Описание вакансии
The Opportunity
Are you an experienced Staff 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 10+ 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: $210,000 to $275,000 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
- Redis
- Kafka
- Cassandra
- ElasticSearch
- AWS
- Nginx
- Go
- Java
- C++
- Distributed Systems
- Microservices
Возможные вопросы на собеседовании
Для уровня Staff важно понимать опыт работы с высоконагруженными распределенными системами.
Расскажите о самом сложном случае масштабирования базы данных (например, MySQL или Cassandra), с которым вы столкнулись. Как вы решали проблемы производительности?
Вакансия подразумевает тесную интеграцию с AI-командами.
Как бы вы спроектировали инфраструктуру для обработки потоковых данных через Kafka для обеспечения работы AI-моделей в реальном времени?
Проверка навыков архитектурного проектирования.
Опишите ваш подход к обеспечению отказоустойчивости и консистентности данных в системе, использующей Redis и Elasticsearch одновременно.
Оценка лидерских качеств и технического видения.
Как вы подходите к выбору новых технологий для инфраструктуры? Приведите пример, когда вы внедрили новую технологию, которая значительно улучшила работу команды.
Проверка опыта работы с облачной инфраструктурой.
Какие стратегии оптимизации затрат и производительности вы применяли при управлении крупномасштабными сервисами в AWS?
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- Страна
- США
- Зарплата
- 210 000 $ – 275 000 $