Software Engineer (XCore Europe)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer (XCore Europe): Build and maintain foundational backend systems powering identity, authorization, audit logging, and BI data exports with an accent on low-latency APIs, reliable distributed microservices, and scalable data pipeline design. Focus on improving complex distributed systems, production observability, and end-to-end feature delivery from requirements to monitoring.
Location: Remote (Poland)
Company
builds AI systems that reason over enterprise data to help business leaders understand revenue signals and take action.
What you will do
- Build and maintain low-latency REST APIs and distributed microservices for identity, authorization, user profiles, settings, and product configurations.
- Implement and maintain high-consistency data pipelines for audit logging and BI data exports.
- Improve existing features based on user feedback and evolving product requirements.
- Drive engineering best practices including structured logging, cross-service request tracking, and robust error management.
- Contribute to production observability with alerting, dashboards, and runbooks.
- Develop tooling to reduce operational toil and support customer support self-service workflows.
Requirements
- Location: Must be based in Poland
- 3+ years of professional experience building backend systems in an enterprise environment.
- 1+ years of experience programming in Python or Scala.
- Solid understanding of microservices and service-oriented architectures (SOA).
- Experience with databases, caching strategies, and low-latency service design.
- Experience building and consuming REST APIs with a focus on reliability and client experience.
Nice to have
- Experience with Spark or other big data processing.
Culture & Benefits
- Focused, technically deep environment with senior engineering leadership and strong guidance.
- High ownership: take ideas from conception through shipping.
- Autonomous team working on a robust data layer presented to end users.
- Emphasis on reducing manual operational toil through automation and tooling.
Hiring process
- Interviews covering backend systems experience and practical engineering judgment.
- Discussion of end-to-end feature delivery and production monitoring/observability practices.
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