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Backend Engineer at Proveden Ltd
Исключительная возможность для инженера получить долю влияния в стартапе на ранней стадии. Работа с передовыми технологиями Voice AI и прямое взаимодействие с основателем делают эту вакансию очень привлекательной для карьерного роста.
Сложность вакансии
Высокая сложность обусловлена требованием 4-8 лет опыта и статусом 'второго инженера', что подразумевает полную ответственность за архитектуру с нуля. Работа с real-time системами и высоконагруженным AI-интерфейсом требует глубоких знаний распределенных систем.
Анализ зарплаты
Для позиции Senior Backend Engineer в Лондоне в сфере AI/DeepTech рыночный диапазон составляет £80,000–£110,000 плюс опционы. Поскольку это ранняя стадия стартапа, базовая зарплата может быть чуть ниже средней, но компенсироваться значительной долей в капитале компании.
Сопроводительное письмо
I am writing to express my strong interest in the Backend Engineer position at Proveden Ltd. With over 6 years of experience in building scalable production systems and a deep expertise in Python, I am excited about the opportunity to join your founding team as the second backend engineer. My background in architecting high-concurrency infrastructure and managing distributed systems aligns perfectly with your mission to build real-time voice interpretation infrastructure.
In my previous roles, I have successfully designed and deployed cloud-native platforms that handle significant traffic, and I am particularly drawn to the challenge of solving low-latency communication in voice AI. I am eager to bring my skills in Azure, real-time system design, and API development to Proveden Ltd to help scale your core platform and deliver fluid, tonally-accurate translation experiences to global users.
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Поговорите с Джеком сегодня, чтобы стать вторым бэкенд-инженером в перспективном лондонском AI-стартапе!
Описание вакансии
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
She will pick the best candidates from Jack's network
The next step is to speak to Jack.
Job Title: Backend Engineer
Company Description: Proveden Ltd - London-based voice AI startup building real-time interpretation infrastructure.
Job Description:
Join as the second backend engineer to build production-grade infrastructure for real-time voice interpretation. Working directly with the technical founder, you will own the core API platform that enables instant, tonally-accurate translation across multiple languages. You will architect scalable systems for high concurrency, ensuring natural, fluid conversations for global users.
Location: London, UK
Why this role is remarkable:
- Ownership of a build-from-scratch opportunity where you design the core infrastructure rather than maintaining legacy systems.
- Work on cutting-edge voice AI that preserves tone and intent, solving the complex challenge of real-time, low-latency cross-language interpretation.
- Join a high-autonomy, technical founding team at a critical scaling phase with a functional product already in use.
What you will do:
- Design and build a unified AI API platform to package internal capabilities into a scalable, production-ready system.
- Architect and manage high-concurrency infrastructure, including real-time voice rooms, auto-scaling, and load balancing on Azure.
- Implement critical business logic systems including usage metering, billing pipelines, and comprehensive monitoring/analytics dashboards.
The ideal candidate:
- 4-8 years of backend experience with a proven track record of building and scaling production systems from the ground up.
- Expert-level Python skills with deep knowledge of distributed systems, cloud infrastructure, and database optimization.
- Experience with real-time systems or voice technologies, paired with a strong ownership mindset to thrive in a small, fast-paced team.
Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Next steps
Step 1. Visit our website.
Step 2. Click 'Talk to Jack'.
Step 3. Talk to Jack so he can understand your experience and ambitions.
Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
Step 6. If not, Jack will find you excellent alternatives. All for free.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
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Навыки
- Python
- Azure
- Distributed Systems
- API Design
- Real-time Systems
- Load Balancing
- Scalability
- Monitoring
- Billing Systems
Возможные вопросы на собеседовании
Вакансия подразумевает работу с real-time интерпретацией голоса, где задержка критична.
Как бы вы спроектировали архитектуру для минимизации задержки (latency) в системе потоковой передачи голоса?
Упоминается использование Azure и необходимость масштабирования.
Опишите ваш опыт настройки авто-масштабирования и балансировки нагрузки для WebSocket-соединений или других протоколов реального времени.
Python является основным языком, а производительность в real-time критична.
Какие инструменты и подходы в Python вы используете для обработки высокой конкурентности (asyncio, многопоточность, очереди)?
Роль предполагает создание систем биллинга и мониторинга с нуля.
Как обеспечить консистентность данных в системе учета потребления ресурсов (usage metering) при высокой нагрузке?
Это позиция в стартапе на ранней стадии.
Расскажите о случае, когда вам приходилось принимать архитектурное решение в условиях неопределенности и отсутствия легаси-кода.
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