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Senior Engineer, Machine Learning Platform
Отличная позиция в глобальной компании с серьезными инвестициями (Blackstone). Возможность строить платформу с нуля и работать с современным стеком (MLOps, Kubernetes, Real-time data) делает вакансию крайне привлекательной для Senior-специалистов.
Сложность вакансии
Роль требует глубоких знаний как в классической бэкенд-разработке (7+ лет), так и в специфических MLOps инструментах. Высокая сложность обусловлена необходимостью проектирования систем с нуля для огромной пользовательской базы.
Анализ зарплаты
Предлагаемая позиция Senior Engineer в Испании соответствует рыночному уровню для крупных международных технологических компаний. Оценка базируется на данных по Мадриду и Барселоне для специалистов с опытом 7+ лет в сфере Data/ML Infrastructure.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Engineer, Machine Learning Platform position at Superbet. With over 7 years of experience in backend engineering and a deep focus on building scalable distributed systems, I am excited about the opportunity to drive the development of your brand-new ML Platform. My background in Python and real-time data processing with tools like Kafka and Spark aligns perfectly with your mission to enable AI adoption across the organization.
In my previous roles, I have successfully architected data pipelines and integrated MLOps tools such as MLflow to streamline the model lifecycle. I am particularly drawn to Superbet's ambitious growth strategy and the challenge of supporting hundreds of thousands of users daily. I am confident that my technical expertise in Kubernetes and cloud infrastructure, combined with my passion for mentoring and cross-functional collaboration, will allow me to make a significant impact on your ML Platform squad.
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Откликнитесь в superbet уже сейчас
Присоединяйтесь к Superbet, чтобы построить ML-платформу нового поколения и определять будущее развлекательных технологий!
Описание вакансии
It’s an exciting time to join us! We’re entering new markets, developing new technologies, and moving step by step towards our goal of exciting the world. As our business grows, the number of exciting people initiatives grows with it, and we’re looking for a new colleague to partner with our team to bring these to life.
As a Senior Engineer in our ML Platform squad, you’ll drive the development of a brand-new ML Platform for the whole Engineering organization at Super Technologies. You will be enabling adoption of ML and AI across all the teams and tribes in our org, and your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.
This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
What you’ll be doing:
- Design and build scalable backend services and APIs to support ML experimentation, deployment, and monitoring.
- Re-architect and rebuild existing data pipelines to handle real-time data processing and support production ML models.
- Develop tools that make it easier for ML engineers to design, test, and deploy ML pipelines.
- Ensure platform services are robust, secure, and meet high standards for performance and reliability.
- Collaborate with ML engineers, data scientists, and product teams to understand their needs and translate them into platform capabilities.
- Drive adoption of ML best practices and promote reusability of tools across teams.
- Contribute to the overall architecture and vision of the ML platform, ensuring it can scale with the company’s growth.
- Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.
We’re looking for someone with:
- 7+ years of professional experience as a Backend Engineer, Software Engineer, or similar role.
- Strong programming skills in Python.
- Proven experience designing and building distributed systems and APIs at scale.
- Hands-on experience with real-time data processing frameworks (e.g., Kafka, Flink, Spark Streaming, Pulsar).
- Experience working with cloud platforms (AWS, GCP, or Azure) and containerization/orchestration (Docker, Kubernetes).
- Strong understanding of data modeling, storage systems, and streaming/processing architectures.
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
- Familiarity with ML model lifecycle management (training, deployment, monitoring).
- Excellent collaboration and communication skills, with the ability to work cross-functionally.
Bonus point for:
- Experience building or working on ML platforms or MLOps frameworks.
About us
We are a global technology company dedicated to building the future of entertainment and fan-centric experiences.
With commercial markets in Brazil, Belgium, Poland, Romania, and Serbia, our company has evolved from a leading sports betting and gaming operator into a diversified product and tech organization, gathering more than 5,000 dedicated people across our teams.
Shaping the future of play
At Super, we are creating a unique entertainment ecosystem engaging millions of customers worldwide. Our product and technology teams in Amsterdam (the Netherlands), Madrid (Spain), Zagreb (Croatia), London (UK), and Bucharest (Romania) are building the playstack that will champion the future of play.
Our ambitious growth strategy focuses on expanding across Europe and Latin America while delivering immersive customer experiences and creating lasting value for our customers, partners, and communities.
Global recognition and standards
The company’s long-term strategy is supported by world-class investors. In 2019, Blackstone, the world’s largest alternative asset manager, made a strategic minority investment of €175 million. In 2025, we strengthened our financial position through a €1.3 billion refinancing agreement, reinforcing our partnership with Blackstone and enabling accelerated global expansion.
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
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Навыки
- AWS
- Azure
- Python
- GCP
- Kubernetes
- MLOps
- Docker
- Kafka
- Backend Development
- Distributed Systems
- Flink
- MLflow
- Spark Streaming
- Pulsar
- Metaflow
- ZenML
Возможные вопросы на собеседовании
Проверка опыта работы с высоконагруженными системами, что критично для Superbet.
Расскажите о самом сложном распределенном сервисе, который вы проектировали: как вы обеспечивали его масштабируемость и отказоустойчивость?
Вакансия предполагает работу с потоковыми данными.
Какие критерии вы используете при выборе между Kafka и Pulsar для обработки данных в реальном времени в рамках ML-платформы?
Оценка понимания жизненного цикла ML-моделей.
Как бы вы спроектировали систему автоматизированного деплоя и мониторинга моделей, чтобы минимизировать время от обучения до продакшена?
Проверка навыков работы с инфраструктурой.
Опишите ваш опыт настройки CI/CD пайплайнов для ML-сервисов в среде Kubernetes. С какими основными трудностями вы сталкивались?
Оценка лидерских качеств и умения работать в команде.
Как вы подходите к внедрению новых инженерных практик и инструментов в командах, которые ранее их не использовали?
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