Backend Engineer (Experiments) (Python, FastAPI)
Fully remote position, open to candidates based anywhere outside of Russia.
↑ Вакансия с автоподнятиемFully remote position, open to candidates based anywhere outside of Russia.
About us
Constructor is the next-generation platform for search and discovery in e-commerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house, utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so.
Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest e-commerce companies in the world like Sephora, Under Armour, and Petco.
We're a passionate team who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.
Constructor is a U.S.-based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick, who still lead the company today.
About the Team
The Experiments team at Constructor builds an experimentation platform: traffic allocation, exposure logging, metric computation, statistical analysis, and a UI for launching experiments and interpreting results. It’s used both internally and by customers running experiments on production traffic.
We’re scaling customer experimentation usage and investing in making experiments faster, more reliable, and easier to interpret. Unlike boxed experimentation tools, our platform has to support a wide range of customer integrations, traffic patterns, and industry constraints — which makes the engineering problems unusually real-world and high-leverage.
Team: 3 Software Engineers, 1 Data Analyst, an Engineering Manager, and a Product Manager.
The Role
This is primarily a backend role (Python services + data-heavy systems). You’ll occasionally work in the Dash UI and contribute to Spark jobs, but those are not the main focus. We care about correctness, observability, and product usability more than complex infrastructure.
Tech: Python, FastAPI, PostgreSQL, Plotly Dash, PySpark/Databricks, AWS, CloudWatch, Sentry
(Spark work is ~5–10% — we don’t expect you to be a data engineer or own the data platform.)
What you’ll do
- Build and maintain backend services for experiment assignment, logging, and report generation.
- Improve scalability, performance, and reliability of experiment reporting pipelines.
- Add product-facing features to the UI to help users launch experiments and interpret results.
- Take technical ownership of projects: shape solutions, break down work, and drive execution with the team.
- Participate in a weekly on-call rotation (investigating occasional issues and answering internal questions).
You’ll collaborate closely with Search/Recommendations engineers, ML/DS partners, and customer-facing teams when needed. This role does not require frequent direct customer calls.
Requirements
Must-have
- Strong experience building and owning production backend services in Python.
- Experience with monitoring, alerting, and debugging user-facing systems.
- Strong SQL skills and confidence working with data-heavy systems (metrics, logging, analytics).
- Ability to ship maintainable software (tests, code review, incremental delivery).
Mindset
- You take ownership: you can turn ambiguous problems into an executable technical plan.
- You care about building systems people trust and rely on.
Nice-to-have
- Experience with experimentation systems, metrics platforms, or A/B testing workflows.
- Experience with PySpark and/or Databricks.
- We don’t expect you to already be an expert in experimentation methodology — but we do expect strong backend fundamentals and the ability to ramp up effectively in a data-heavy domain.
Location / Time Zones
- We’re a distributed team. Preferred time zones are UTC+1 to UTC+7, but we’re flexible.
Benefits
- Unlimited vacation time - we strongly encourage all employees to take at least 3 weeks per year.
- Fully remote team - choose where you live.
- Work from home stipend - we want you to have the resources you need to set up your home office.
- Apple laptops provided for new employees.
- Training and development budget - refreshed each year for every employee.
- Maternity & Paternity leave for qualified employees.
- Work with smart people who will help you grow and make a meaningful impact.
- Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results.
- Stock options - offered in addition to the base salary.
- Regular team offsites to connect and collaborate.
Diversity, Equity, and Inclusion at Constructor
At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
Похожие вакансии Python
About Us
Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.
About The Role
The ML Infrastructure team builds and operates the shared backend services and platform capabilities that Constructor's ML and product teams rely on to develop, deploy, and run machine learning at scale—from model serving (including LLMs) to the specialized storages and data pipelines behind it.
We are a service team by nature: our roadmap is shaped by the needs of product teams, and we succeed when they can move faster with less friction. We're looking for a Senior Backend Engineer who is comfortable with and motivated by this dynamic, and who will take end-to-end ownership of core services.
In the near and mid-term, our focus areas include:
- Making ML workloads easy to run, scale, and operate for every team.
- Providing self-service, configurable infrastructure components to ML and product teams.
- Owning and evolving core ML services and related pipelines with a high bar for reliability and performance.
Challenges you will tackle
- Design, build, and operate high-load distributed backend services that power the company's ML infrastructure.
- Take end-to-end ownership of core ML services and related data pipelines: from design and implementation to deployment, observability, and continuous improvement.
- Partner with ML and product teams to understand their needs and turn them into reliable, reusable platform capabilities.
- Make and defend technical decisions: evaluate trade-offs, design first, and own the outcome.
- Be responsible for what you and your team do.
Requirements
- 5+ years of professional experience in backend or platform engineering.
- Extensive Python knowledge (our primary language).
- Hands-on experience developing on a public cloud (AWS, GCP, or Azure) or with self-managed Kubernetes—AWS is our primary platform, but we're not limited to it.
- Experience designing and building distributed, high-load services and APIs.
- Strong knowledge of data structures, algorithms, and their trade-offs.
- Design-driven engineering mindset: we're a coding-assistant-friendly environment and expect you to use modern AI tools—but you lead with system design and a strong understanding of their applicability and trade-offs.
- Ownership and proactivity: you can't close your eyes to problems, but are ready to solve them and take responsibility for outcomes.
- You are friendly and willing to help your teammates & others.
Nice to have:
- Experience with Rust (or C/C++/Go)—a strong plus.
- Experience developing or contributing to ML platforms or ML infrastructure—a strong plus.
- Experience setting up and operating any vector database (Qdrant, Milvus, Weaviate, OpenSearch, pgvector, etc.)—a strong plus.
- Experience with model serving / inference infrastructure, including LLMs.
- Experience with Infrastructure as Code (Terraform or similar).
Benefits
- Unlimited vacation time—we strongly encourage all of our employees to take at least 3 weeks per year.
- Fully remote team—choose where you live.
- Work from home stipend! We want you to have the resources you need to set up your home office.
- Apple laptops provided for new employees.
- Training and development budget for every employee, refreshed each year.
- Maternity & Paternity leave for qualified employees.
- Work with smart people who will help you grow and make a meaningful impact.
- Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results.
- Stock options—offered in addition to the base salary.
- Regular team offsites to connect and collaborate.
Diversity, Equity, and Inclusion at Constructor
At Constructor.io, we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status, or affiliation in any other protected group.
Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.
Мы создаём платформу персонализации для всех продуктов VK. На нашей инфраструктуре работают рекомендательные системы, поиск и реклама крупнейших продуктов компании, масштаб которых достигает 300 млн пользователей и почти миллиарда единиц контента.
Немного о нашем масштабе:
- 1 млн vCPU вычислительных мощностей
- Сотни тысяч персональных подборок в секунду
- Более 300 инженеров из продуктовых команд используют нашу платформу, большинство из них — ML-инженеры
- Tier A, доступность более 99,99%. Мы умеем строить отказоустойчивые real-time системы и обеспечивать их работу под огромной нагрузкой
Наша миссия — сделать платформу, на которой продуктовые команды могут быстро воплощать идеи, экспериментировать и растить метрики, не задумываясь о сложности инфраструктуры. При этом платформа должна эффективно работать даже в масштабах крупнейших интернет-продуктов.
Наш технологический стек: Java (99% кодовой базы), C++ и Python для GPU-сервисов. Активно используем экосистему распределённых вычислений YTsaurus и разрабатываем собственные инфраструктурные решения.
Задачи
Мы ищем Team Lead в одну из команд платформы персонализации, которая отвечает за инфраструктуру поисковых сценариев.
Один из главных инженерных вызовов в поиске — найти оптимальный баланс между потреблением RAM и CPU. Поисковые системы предъявляют особенно высокие требования к полноте данных, скорости их доставки и эффективности индексации. При этом важно обеспечивать предсказуемую производительность и эффективно использовать вычислительные ресурсы.
В команде мы разрабатываем собственное реплицированное in-memory хранилище, технологии индексации контента и инфраструктуру для поисковых сценариев.
Вам предстоит:
- Руководить командой инженеров: развивать сотрудников, участвовать в найме и отвечать за результаты команды
- Определять техническое развитие команды и принимать архитектурные решения
- Развивать технологии хранения и индексации данных, оптимизировать производительность и использование ресурсов
- Реализовать персонализированное ранжирование поисковой выдачи, используя возможности платформы персонализации
- Масштаб, который редко встречается. Здесь даже небольшое архитектурное решение может влиять на миллионы пользователей и потребление тысяч CPU
- Сложные инженерные задачи. Мы не просто интегрируем готовые технологии, а создаём собственные решения для хранения, обработки и доставки данных в реальном времени
- Влияние на продукты. Результатами нашей работы пользуются более 300 инженеров продуктовых команд, а сама платформа лежит в основе ключевых продуктов VK
- Сильная инженерная экспертиза. Мы умеем строить системы с доступностью более четырёх девяток и постоянно работаем над тем, чтобы делать их быстрее, надёжнее и эффективнее
Требования
- Опыт руководства инженерной командой, включая people management
- Уверенное знание Java или опыт разработки на другом современном языке с готовностью перейти на Java
- Хорошее понимание алгоритмов и структур данных
- Интерес к распределённым системам, большим данным и высоконагруженным сервисам. Опыт работы с ними будет преимуществом
- Любовь к технически сложным задачам, оптимизации кода и поиску эффективных решений
Будет плюсом
- Опыт разработки поисковых или рекомендательных систем
- Знакомство с машинным обучением и инфраструктурой для ML
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