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Senior Software Engineer at Ensembleanalytics.co.uk
Отличная возможность для Senior-разработчика получить реальное влияние на продукт в небольшом, но быстрорастущем стартапе. Привлекательный офис в Лондоне (The Ministry) и работа над социально значимым продуктом в сфере логистики.
Сложность вакансии
Роль требует глубоких знаний Python (FastAPI, SQLAlchemy) и опыта архитектурного проектирования в условиях стартапа. Высокая планка ожиданий к автономности и умению работать с облачной инфраструктурой AWS и сложными алгоритмами расчетов.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции Senior Software Engineer в Лондоне рыночный диапазон составляет £80,000 – £110,000 в год. В стартапах на ранней стадии к этому часто добавляется опционная программа (equity).
Сопроводительное письмо
I am writing to express my strong interest in the Senior Software Engineer position at Ensemble Analytics. With over 5 years of experience in building production-grade Python systems and a deep proficiency in FastAPI, SQLAlchemy, and AWS, I am excited about the opportunity to architect core backend systems for the Athena platform. My background in developing complex asynchronous workloads and scalable APIs aligns perfectly with your mission to transform workforce management in the global supply chain.
In my previous roles, I have consistently demonstrated the ability to translate ambiguous operational requirements into robust software solutions. I am particularly drawn to this role because of the high degree of product ownership and the chance to work on real-world scheduling constraints that have an immediate impact. I am eager to bring my technical intuition and architectural expertise to your flat, high-impact team in London and contribute to the continued growth of your logistics SaaS platform.
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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: Senior Software Engineer
Company Description: Ensembleanalytics.co.uk - High-growth logistics SaaS platform digitalising global port operations
Job Description:
Join a small, high-impact team building Athena, an intelligent platform transforming workforce management in the global supply chain. You will own the backend architecture for new products from concept to launch, turning rough operational ideas into production-ready Python systems that solve complex, real-world scheduling constraints for port operators and multimodal industries.
Location: London, UK
Why this role is remarkable:
- Ship code with immediate real-world impact on global supply chains, moving away from legacy systems to intelligent, automated workforce tools.
- Enjoy true product ownership in a flat ~8-person startup where you influence the roadmap and architect features from scratch rather than just closing tickets.
- Work from a premium London office at The Ministry, featuring an on-site gym, bike storage, and a collaborative, focused culture that prioritizes shipping over process theatre.
What you will do:
- Architect and build core backend systems including a complex pay calculation engine and a cross-client marketplace for shift requests.
- Design and deploy high-performance FastAPI and SQLAlchemy APIs within an AWS environment to power the Athena platform and employee mobile app.
- Collaborate directly with product and operations teams to translate ambiguous requirements into scalable, well-architected software solutions and integrated ML models.
The ideal candidate:
- 5+ years of professional experience shipping production-grade Python systems using FastAPI, SQLAlchemy, and PostgreSQL in a fast-paced environment.
- Deep technical proficiency with asynchronous workloads via Celery, containerization with Docker, and cloud deployment on AWS infrastructure.
- Strong architectural intuition and the ability to communicate complex technical trade-offs to non-technical stakeholders while operating with a high degree of autonomy.
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
- FastAPI
- SQLAlchemy
- PostgreSQL
- AWS
- Celery
- Docker
- Asynchronous Programming
- Machine Learning
Возможные вопросы на собеседовании
Вакансия подразумевает работу над движком расчета выплат и планированием. Важно понимать опыт кандидата с асинхронностью.
Расскажите о самом сложном кейсе использования Celery и FastAPI в вашей практике. Как вы обрабатывали ошибки и обеспечивали надежность выполнения задач?
Кандидат будет проектировать системы с нуля. Проверка навыков моделирования данных.
Как бы вы спроектировали схему базы данных для системы управления сменами, учитывая пересекающиеся графики и различные типы контрактов сотрудников?
Работа в стартапе из 8 человек требует умения объяснять технические решения бизнесу.
Опишите случай, когда вам пришлось убеждать нетехнических стейкхолдеров в необходимости изменения архитектуры. Каков был результат?
Упоминается использование ML-моделей. Важно понять опыт интеграции.
Какой у вас опыт интеграции ML-моделей в Python-бэкенд? Как вы обеспечиваете производительность API при работе с тяжелыми вычислениями?
Роль предполагает владение AWS.
Какие сервисы AWS вы считаете наиболее критичными для масштабирования SaaS-платформы на раннем этапе и почему?
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