Full-Stack Engineer (Central Europe) — Cloud, Kafka & Kubernetes

Zoolatech

Central, Northern (LA, KY)

Hybrid

USD 90,000 - 150,000

Full time

10 days ago

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Job summary

Zoolatech is assisting a leading U.S. fashion retailer to hire a Full-stack engineer. You will collaborate with a US-based team of engineers, business partners, and product managers, plus contractors worldwide.

You will build reusable components, ensure performance, participate in Agile processes, mentor peers, and support monitoring, container orchestration with Kubernetes, AWS, Kafka, and cloud security. Upgrades and migrations should be executed with minimal downtime.

Qualifications

  • Experience building full-stack applications for web or mobile platforms.
  • Familiarity with Agile software development processes and sprint rituals.
  • Ability to mentor junior developers and contribute to team learning.
  • Experience writing automated tests and debugging complex systems.
  • Knowledge of cloud-native architectures and container orchestration.

Responsibilities

  • Build reusable UI and server-side components to support scalable platforms.
  • Write automated tests and debug applications to ensure high-quality user experiences.
  • Partner with engineers, product managers, and business partners to align on goals.
  • Participate in Agile ceremonies: sprint planning, grooming, retrospectives.
  • Implement and maintain monitoring and observability using modern tools.

Skills

Full-stack
Agile processes
Mentoring
Testing
Code quality

Tools

Kubernetes
Kafka
New Relic
Splunk
AWS

Job description

Zoolatech is assisting a leading U.S. fashion retailer to hire a Full-stack engineer. You will collaborate with a US-based team of engineers, business partners, and product managers, plus contractors worldwide.

You will build reusable components, ensure performance, participate in Agile processes, mentor peers, and support monitoring, container orchestration with Kubernetes, AWS, Kafka, and cloud security. Upgrades and migrations should be executed with minimal downtime.

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