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Staff Engineer, Consumer
Отличная позиция в известном международном бренде с современным стеком (Go, GenAI, Kafka). Роль Staff-уровня предполагает реальное влияние на продукт и архитектуру, а офис в центре Варшавы и масштаб HelloTech обеспечивают отличные возможности для профессионального роста.
Сложность вакансии
Роль Staff Engineer требует не только глубоких знаний Go и архитектуры распределенных систем, но и экспертизы в области GenAI и управления AI-агентами. Высокая планка ответственности за архитектуру на уровне всей компании и работа с высоконагруженными GraphQL-федерациями делают эту позицию технически сложной.
Анализ зарплаты
Указанная роль Staff Engineer в Варшаве соответствует верхнему эшелону рынка. Предлагаемые оценки базируются на данных для крупных международных продуктовых компаний в Польше, где Staff-инженеры получают значительно выше среднего по рынку.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Engineer position within the Recipe Engagement Squad at HelloFresh. With extensive experience in developing high-scale Go microservices and a deep understanding of distributed systems, I am particularly drawn to your focus on leveraging GenAI and AI coding agents to enhance the developer experience and product features. My background in designing GraphQL federated architectures and managing complex event-driven systems using Kafka and PostgreSQL aligns perfectly with the technical requirements of HelloTech.
Throughout my career, I have successfully led technical initiatives that bridge the gap between complex architectural needs and product goals. I am an advocate for observability and reliability, with hands-on expertise in OpenTelemetry and Prometheus, and I am passionate about mentoring teams to achieve excellence in DORA metrics. I am excited about the opportunity to contribute to a global platform that impacts millions of customers and to help shape the future of recipe engagement at HelloFresh.
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Откликнитесь в hellofresh уже сейчас
Присоединяйтесь к HelloFresh в Варшаве, чтобы создавать высоконагруженные системы на Go и внедрять инновационные GenAI решения для миллионов пользователей по всему миру!
Описание вакансии
Work with HelloFresh in Warsaw and its HelloTech organisation, HelloFresh’s global technology backbone with more than 1000 people, building the digital products that power our end-to-end food experience. From meal kits and ready-to-eat meals to specialty offerings like pet food and premium meat & seafood, HelloTech creates the platforms that bring tailored food solutions to millions of customers every month.
Our subscription-based, direct-to-consumer model relies on technology at every step, from customer-facing apps and personalization logic to pricing, forecasting, supply chain optimization, and initiatives that help reduce food waste. While our brands operate independently to serve distinct customer needs, they are united by shared platforms, data, and operational excellence built by HelloTech.
HelloTech works in autonomous, cross-functional alliances, each owning a specific product or domain end to end. By working with our Warsaw office, you will help shape scalable, data-driven products used across our markets, working with a modern tech stack and international teams to continuously improve how people discover, order, and enjoy HelloFresh’s products, today and in the future.
About the role: What's in the Box
You will contribute to the Recipe Engagement Squad within a large-scale meal-kit and ready-to-eat platform. This project focuses on the delivery of high-scale systems that capture and surface customer feedback and engagement across multiple global brands. The contractor will provide expert technical services to ensure millions of customers can effortlessly share opinions and save favorite meals, directly enabling the data-driven improvement of recipe offerings.
What you’ll do: The Recipe
- Delivery of high-scale Go microservices powering recipe ratings, favorites, and feedback systems using PostgreSQL, Redis, and Kafka.
- Design and extension of GraphQL APIs within an Apollo Federation subgraph architecture for mobile and web client consumption.
- Execution of GenAI strategies, including the prototyping and implementation of production-grade features such as personalization and advanced feedback analysis.
- Service delivery for end-to-end features, from initial RFC technical design to production rollout using multi-market feature flags.
- Ensuring system reliability and observability through the implementation of monitoring via Grafana, Prometheus, and OpenTelemetry.
- Provision of technical guidance and architectural evolution across the domain to mitigate long-term technical risks.
- Collaboration with primary stakeholders in mobile, web, and product design to refine project requirements and demonstrate deliverables.
- Leading technical initiatives and streamlining delivery processes to reduce implementation churn and improve quality.
What you’ll bring: The Ingredients
- Deep expertise in Go (Golang) and the design of high-traffic distributed systems.
- Strong hands-on experience working with AI coding agents (e.g., Claude Code, Cursor, Copilot) in production or near-production environments. You think beyond prompts to context engineering, structuring specifications, tool configurations, and information flow so agents produce reliable results. You can reason about how to decompose complex workflows across multiple agentic components and identify when agentic outputs are unreliable, diagnosing problems to improve outputs in an iterative way. You have strong processes around adding guardrails, both in understanding where and when they’re needed and how to implement them.
- Proven experience operating microservices with large datasets using PostgreSQL, Redis, and Kafka.
- Technical proficiency in GraphQL schema design and federation patterns (Apollo).
- Practical experience in integrating production-grade GenAI features and using AI-assisted development tools.
- Advanced knowledge of distributed systems patterns, including cache-aside, outbox patterns, and event-driven architecture.
- Technical command of Kubernetes and AWS for containerized service operations.
- Experience with observability and tracing tools such as Prometheus, Grafana, Honeycomb, or Datadog.
- Expertise in agile delivery focused on DORA metrics and iterative software releases.
- Commitment to service quality, including thorough testing and technical peer reviews.
Above all, we are looking for individuals who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.
What we offer: The Toppings
- Global collaboration at scale: Collaborate with experienced engineers and product partners across HelloTech’s international teams, in a culture of active knowledge sharing.
- Technology with real-world impact: Build and operate modern systems at global scale, supporting 6+ millions of customers and complex supply chain operations.
- Technical/Product/Design leadership: Drive best practices and influence architecture/design, quality, and ways of working in an autonomous, product-led setup.
- End-to-end development/delivery: Drive decisions from problem definition to production, improving systems and enabling long-term scalability.
- Access to workspace at Warsaw Centre Point: The hub offers modern facilities including showers, breakout zones, outdoor space, cycle parking, and refreshments (coffee, soft drinks, and fruit).
Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.
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Навыки
- Go
- PostgreSQL
- Redis
- Kafka
- GraphQL
- Apollo Federation
- Kubernetes
- AWS
- Prometheus
- Grafana
- OpenTelemetry
- Generative AI
- Distributed Systems
- Microservices
- Event-Driven Architecture
Возможные вопросы на собеседовании
Проверка глубокого понимания Go и работы с конкурентностью в высоконагруженных системах.
Расскажите о самом сложном случае отладки производительности Go-микросервиса под высокой нагрузкой: какие инструменты использовали и к каким выводам пришли?
Вакансия делает упор на использование AI-агентов в разработке.
Как вы подходите к проектированию контекста (context engineering) для AI-агентов, чтобы минимизировать галлюцинации и обеспечить надежность генерируемого кода?
HelloFresh использует Apollo Federation.
Какие основные проблемы вы видите при масштабировании GraphQL Federation в организации с более чем 1000 инженеров, и как их решать?
Проверка навыков проектирования отказоустойчивых систем.
Опишите процесс реализации паттерна Outbox в распределенной системе на базе Kafka и PostgreSQL: какие подводные камни вы встречали?
Staff-уровень подразумевает лидерство и влияние на процессы.
Как вы балансируете между написанием кода и стратегическим архитектурным планированием, и как убеждаете стейкхолдеров в необходимости проведения крупных технических рефакторингов?
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