About the opportunity
We are on the lookout for a (Senior) Software Engineer Python - (Quick Commerce) to join our Product Information Management (PIM) team. As a Senior Engineer, you won't just be writing code; you'll be architecting the backbone of how millions of customers interact with our product content in real-time. We are looking for a senior engineer who thrives on high-traffic challenges and is passionate about engineering excellence.
Responsibilities
- Architect & Innovate: Design and implement cutting-edge, high-traffic services and APIs that transform how we handle content at scale.
- Drive Evolution: Lead the architectural evolution of our PIM systems, balancing immediate business needs with long-term system health.
- Collaborate Broadly: Partner with cross-functional teams (Product, Design, Data) to solve complex challenges in the content domain.
- Optimize at Scale: Continuously monitor and fine-tune system performance to ensure a seamless experience for our global users.
- Own the Product Lifecycle: Manage the end-to-end journey of product data, from internal onboarding to customer-facing exposure, ensuring PIM remains a highly dependable component for the entire QC ecosystem.
- Culture of Quality: Champion modern methodologies like TDD, Continuous Delivery, and Scrum, while mentoring peers through insightful code reviews.
- Own the Lifecycle: Take full ownership of your services, from initial design and debugging to post-deployment monitoring and scaling.
Requirements
- 5+ years of professional experience building robust applications in Python. (Experience with Golang is a major plus!)
- Proven track record of developing large-scale, distributed systems that handle high request volumes.
- A deep understanding of data structures, algorithms, and software design patterns.
- Hands-on experience with AWS or GCP, and a 'Configuration as Code' mindset using Terraform, CloudFormation, or Helm.
- Proficiency with CI/CD pipelines (ArgoCD, Drone, Spinnaker) and observability stacks (Prometheus, Grafana, Datadog, Distributed Tracing).
- Superior knowledge of both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Redis) databases.
Benefits
- Hybrid working model with 2 days per week in our Berlin campus
- Health benefits including medical checkups, meditation, yoga, gym & bicycle subsidy
- Financial benefits such as employee share purchase plan, sabbatical bank, public transportation ticket discount, life & accident insurance, corporate pension plan
- Educational support with 1,000 EUR budget, language courses, parental support
- Meal benefits including digital meal vouchers, food vouchers, online canteen, corporate discounts
- Commitment to diversity and inclusion, accommodations available