- Страна
- США
- Зарплата
- 192 000 $ – 240 000 $
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на вакансии с ИИ

Senior Software Engineer, Product Data Platform
Отличная позиция в топовой финтех-компании с конкурентной зарплатой, опционами и работой над передовыми AI-продуктами. Гибридный график в Сан-Франциско и сильная инженерная культура делают вакансию крайне привлекательной.
Сложность вакансии
Высокая сложность обусловлена требованием 7+ лет опыта и глубокой экспертизы в оптимизации запросов, распределенных системах и JVM-стеке. Работа в финтех-единороге уровня Brex предполагает жесткие стандарты производительности и надежности.
Анализ зарплаты
Предлагаемый диапазон $192k - $240k полностью соответствует рыночным стандартам для Senior-инженеров в Сан-Франциско, где медиана составляет около $215k. Наличие опционов (equity) значительно увеличивает общий компенсационный пакет.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Software Engineer position for the Product Data Platform team at Brex. With over 7 years of experience in backend engineering and a deep focus on high-performance distributed systems, I have consistently delivered scalable solutions that optimize data-intensive applications. My background in the JVM ecosystem, specifically with Kotlin and Java, aligns perfectly with your tech stack and your mission to make financial data more accessible and reliable.
In my previous roles, I have specialized in optimizing complex query plans and remediating P99 latency issues in production environments. I am particularly excited about Brex's work on agentic reporting and AI-powered data products, as I believe my expertise in relational database optimization and distributed systems architecture can significantly contribute to the scalability of these innovative features. I am eager to bring my technical leadership and passion for engineering excellence to your San Francisco-based team.
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Откликнитесь в brex уже сейчас
Присоединяйтесь к команде Brex в Сан-Франциско, чтобы создавать высокопроизводительные платформы данных на базе ИИ!
Описание вакансии
Why join us
Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises — including DoorDash, Flexport, and Compass — use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Engineering at Brex
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.
Where you’ll work
This role will be based in our San Francisco Office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday.
As a perk, we also have up to four weeks per year of fully remote work!
What you’ll do
This opportunity is on our Product Data Platform (PDP) team, which builds and operates the high-performance data, query, and search infrastructure that powers critical Brex product experiences. PDP’s mission is to make Brex customizable, scalable, and reliable for finance teams, and that requires deeply optimized, production-grade backend systems.
As a Senior Software Engineer, you’ll work on data-intensive, distributed systems at scale. You’ll lead architectural and performance improvements across the platform, driving better latency, correctness, and scalability across multiple product surfaces. PDP also builds AI-powered data products, including an agentic reporting experience that enables customers to interact with their financial data in dynamic, intelligent ways. Your work ensures these systems are fast, reliable, and built to scale.
Responsibilities:
- Analyze and optimize complex query plans, execution paths, cost models, joins, and indexing strategies.
- Drive schema and access-pattern improvements to resolve systemic performance bottlenecks.
- Debug and remediate P95/P99 latency issues under load in production systems.
- Design and operate distributed systems with thoughtful tradeoffs around consistency, latency, caching, and failure modes.
- Evaluate existing architectures to proactively identify scaling risks and long-term reliability gaps.
- Implement and improve caching strategies, read/write separation, and replica usage.
- Contribute to and improve backend systems primarily in the JVM ecosystem (Kotlin/Java).
- Raise the technical bar through thoughtful design reviews and clear communication of tradeoffs.
Requirements:
- 7+ years of backend engineering experience building and operating production systems at scale.
- Experience building platforms or infrastructure used by real customers.
- Strong communication skills and ability to collaborate cross-functionally.
- Deep hands-on experience with relational databases (Postgres or Aurora strongly preferred)
- Strong expertise in query plan design and analysis, indexing strategies, and real-world database optimization.
Bonus:
- Hands-on experience with OpenSearch / Elasticsearch or similar systems in production
- Experience with multi-tenant or data-heavy platforms.
Compensation:
- The expected salary range for this role is $192,000 - $240,000 + equity. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
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Навыки
- PostgreSQL
- Distributed Systems
- Backend
- Kotlin
- Java
- ElasticSearch
- Query Optimization
- JVM
- OpenSearch
- Amazon Aurora
Возможные вопросы на собеседовании
Вакансия требует глубоких знаний в оптимизации БД и анализе планов запросов.
Расскажите о самом сложном случае оптимизации P99 задержки в вашей практике: как вы диагностировали проблему и какие изменения в индексации или схеме внесли?
Команда PDP работает над распределенными системами с высокими нагрузками.
Какие компромиссы между согласованностью (consistency) и доступностью (availability) вы выбирали при проектировании систем с интенсивным чтением/записью?
Brex использует JVM (Kotlin/Java).
С какими специфическими проблемами производительности JVM (например, GC pauses) вы сталкивались при работе с высоконагруженными сервисами и как их решали?
Упоминается работа с OpenSearch/Elasticsearch как плюс.
В каких сценариях вы бы предпочли использовать OpenSearch вместо реляционной БД для реализации поиска в продукте Brex?
Роль Senior предполагает лидерство и дизайн-ревью.
Опишите ваш подход к проведению дизайн-ревью: на что вы обращаете внимание в первую очередь, чтобы предотвратить риски масштабирования?
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- Страна
- США
- Зарплата
- 192 000 $ – 240 000 $