Design, build, and maintain highly performant, low-latency APIs and distributed microservices handling identity, authorization, user profiles, settings, and product configurations.
Own features end-to-end: from partnering with Product to shape and challenge requirements, through system design, implementation, and production monitoring.
Design and execute data pipelines that move massive volumes of data with guaranteed consistency and zero data loss, including audit-log systems and BI data exports.
Maintain and improve existing features based on user feedback and evolving product requirements.
Advocate for and introduce engineering best practices, including structured logging, cross-service request tracking, and robust error management.
Ensure high-quality observability through alerting, dashboards, tracing, and runbooks for all production services.
Build reusable internal tooling to reduce manual operations for engineering teams and enable customer support self-service.
Collaborate cross-functionally with Product, Design, and Engineering teams with clear and concise communication.
Requirements
5+ years of professional experience building backend systems in an enterprise environment
2+ years of experience programming in Python or Scala
Proven experience building and orchestrating microservices and service-oriented architectures (SOA)
Deep understanding of databases, caching strategies, and low-latency service design
Experience designing clean, scalable APIs with a strong focus on client and end-user experience
Experience handling data synchronization from diverse external sources and designing high-consistency data pipelines
Comfortable taking ownership in an unfamiliar or legacy codebase and incrementally refactoring and improving it
Strong inclination toward automation and reducing manual operational toil
Experience with Spark or big data processing is a plus
Strong communication skills with the ability to act as a true partner to Product — challenging requirements and driving roadmap decisions