About the Role
The engineer will develop and optimize backend services that manage ingestion, processing, and routing of unverified content from external partners, focusing on reliability, performance, and integration with internal systems.
Responsibilities
- Design and implement scalable server-side applications for content processing
- Develop APIs to support ingestion and distribution of third-party data
- Collaborate with frontend and data teams to ensure seamless integration
- Optimize database queries and improve system response times
- Write clean, maintainable code with comprehensive test coverage
- Troubleshoot and resolve production issues in distributed systems
- Participate in code reviews and contribute to team best practices
- Monitor system performance and proactively address bottlenecks
- Ensure data consistency across multiple service boundaries
- Support secure handling of unverified external content
- Work within agile development cycles to deliver iterative improvements
- Document technical designs and system architecture decisions
- Integrate with authentication and authorization mechanisms
- Assist in defining schema standards for incoming content
- Contribute to deployment automation and CI/CD pipelines
- Evaluate and adopt new technologies to improve system capabilities
- Collaborate with product managers to refine feature requirements
- Maintain high availability and fault tolerance in backend services
- Implement logging and observability for system diagnostics
- Support compliance with data governance policies
Compensation
Competitive salary based on experience and location
Work Arrangement
Hybrid work model with flexible remote options
Team
Part of a specialized team focused on processing unverified third-party content
About the Team
- This team specializes in managing content from unverified external partners, ensuring safe and efficient processing through robust backend infrastructure.
- Engineers work closely with data specialists and product stakeholders to refine ingestion workflows and improve system resilience.
Technology Stack
- Primary languages include Go and Python.
- Services are deployed on Kubernetes using cloud infrastructure.
- Data stores include PostgreSQL, Redis, and document-based databases.
- Monitoring is handled through centralized logging and alerting systems.
Available for qualified candidates requiring sponsorship
