- Страна
- США
- Зарплата
- 169 000 $ – 232 000 $
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Senior Software Engineer - Search
Отличная вакансия в стабильной компании-единороге с прозрачной вилкой зарплаты и интересными инженерными задачами. Высокий балл за использование передовых технологий (AI, векторный поиск) и четкие требования.
Сложность вакансии
Высокая сложность обусловлена требованиями к глубоким знаниям распределенных систем, опытом работы с миллиардами документов и необходимостью оптимизации производительности на уровне инфраструктуры. Ожидается опыт работы от 5 лет и владение стеком JVM/Kubernetes.
Анализ зарплаты
Предложенная зарплата ($169k - $232k) полностью соответствует и даже немного превышает медиану для Senior-разработчиков в Нью-Йорке, которая обычно составляет около $180k-200k для продуктовых компаний такого уровня. Верхняя граница диапазона весьма привлекательна даже для дорогого рынка США.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Software Engineer - Search position at AlphaSense. With over 6 years of experience in architecting and operating high-throughput distributed systems, I have developed a deep expertise in sharding, replication, and performance optimization. My background in building observable, bulletproof systems aligns perfectly with your mission to deliver trusted market intelligence from billions of documents.
In my previous roles, I have successfully led migrations from legacy architectures to modern, scalable platforms while maintaining zero downtime. I am particularly excited about AlphaSense's work with hybrid lexical and vector search, as I have been following the evolution of information retrieval closely. I am confident that my technical skills in JVM-based systems and Kubernetes, combined with my passion for engineering excellence, will allow me to contribute significantly to your Search team and help elevate the platform's capabilities.
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Присоединяйтесь к AlphaSense, чтобы создавать поисковые системы нового поколения на базе ИИ для лидеров рынка S&P 500!
Описание вакансии
About AlphaSense:
The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.
The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!
About the Team:
As part of our Search team, you'll own a critical platform that directly impacts how customers discover insights. This isn't just about maintaining a search system – it's about building the next generation of information retrieval at scale. You'll work with modern technologies (including hybrid lexical/vector search), but more importantly, you'll apply your distributed systems expertise to solve fascinating scale challenges.
The best part? You'll join a team of smart engineers who are eager to learn. Your experience in building bulletproof systems will directly elevate the entire team's capabilities.
About the Role:
AlphaSense is seeking an experienced engineer to work on the search platform that powers market intelligence across billions of documents. You'll tackle the challenge of building distributed systems that handle hundreds of queries per second with millisecond latency, while establishing engineering excellence that ensures reliability for our enterprise customers.
This role is perfect for a seasoned engineer who loves challenges and has a track record of building robust, high-performance systems. While search experience is valuable, we believe great engineers can master new domains – what matters most is your ability to build systems that scale and don't break.
Who You Are:
- 5+ years building and operating distributed systems in production
- Experience with large-scale data platforms or high-throughput systems
- Expertise in distributed systems fundamentals: sharding, replication, consistency, partition tolerance
- Strong performance optimization skills - you can profile, diagnose, and fix bottlenecks across the stack
- Experience with data pipeline architecture, real-time processing, or database internals
- Excellence in building observable systems with comprehensive monitoring and alerting
Preferred:
- Experience with search platforms (Vespa, Elasticsearch, Solr) or similar large-scale data systems
- Experience with Kubernetes, CRDs, and infrastructure as code
- Background in information retrieval, ranking systems, or recommendation engines
- Familiarity with hybrid search approaches (lexical and vector)
- Experience with JVM-based systems and tuning
- Knowledge of modern engineering practices from high-growth companies
What You’ll Do:
- Scale Distributed Systems: Architect and optimize infrastructure handling billions of documents and hundreds of queries per second
- Lead Platform Evolution: Drive the migration from legacy systems to modern architecture, ensuring zero downtime and improved performance
- Build Engineering Excellence: Establish comprehensive monitoring, testing, and deployment practices that catch issues before customers do
- Optimize Performance: Profile and tune systems from the infrastructure to the application level, balancing cost and performance
For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.
You may also be offered equity, and a generous benefits program.
Compensation Range
$169,000—$232,000 USD
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
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Навыки
- Distributed Systems
- Kubernetes
- JVM
- ElasticSearch
- Vespa
- Solr
- Vector Search
- Information Retrieval
- Infrastructure as Code
- Performance Optimization
- Monitoring
Возможные вопросы на собеседовании
Проверка фундаментальных знаний распределенных систем, критически важных для масштабирования поиска.
Как бы вы спроектировали систему шардирования для индекса из миллиардов документов, чтобы минимизировать задержки при поиске (latency)?
Вакансия подразумевает работу с высоконагруженными системами, где мониторинг жизненно важен.
Опишите ваш подход к обеспечению наблюдаемости (observability) в распределенной системе. Какие метрики вы считаете ключевыми для поисковой платформы?
В описании упоминается миграция с legacy на современную архитектуру.
Расскажите о вашем опыте миграции крупной системы с нулевым временем простоя. С какими основными рисками вы столкнулись и как их минимизировали?
Позиция требует навыков профилирования и устранения узких мест.
Как вы подходите к диагностике внезапного роста задержек (latency spikes) в JVM-приложении, работающем в Kubernetes?
AlphaSense использует гибридный поиск. Важно понимать готовность кандидата к работе с современными методами IR.
В чем, по вашему мнению, основные сложности совмещения лексического (BM25) и векторного поиска в одной системе ранжирования?
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- Страна
- США
- Зарплата
- 169 000 $ – 232 000 $