Build and maintain performant, low-latency APIs and distributed microservices handling identity, authorization, user profiles, settings, and product configurations.
Implement and maintain data pipelines that move large volumes of data with consistency and reliability, including audit-log systems and BI data exports.
Maintain and improve existing features based on user feedback and evolving product requirements.
Follow and promote engineering best practices, including structured logging, cross-service request tracking, and robust error management.
Contribute to production observability through alerting, dashboards, and runbooks.
Build tooling to reduce manual operations for engineering teams and support customer support self-service workflows.
Contribute to feature development end-to-end: from participating in requirement discussions with Product, through implementation, to production monitoring.
Requirements
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)
Familiarity with databases, caching strategies, and low-latency service design
Experience building and consuming REST APIs with attention to reliability and client experience
Exposure to data synchronization patterns and high-consistency data pipeline design
Able to navigate and contribute to an unfamiliar codebase with guidance, working toward incremental improvements
Appreciation for automation and reducing manual operational toil
Experience with Spark or big data processing is a plus
Good communication skills with the ability to participate meaningfully in product and engineering discussions.