Principal Data Engineer - PerfectScale by DoiT

8+ years of backend engineering experience 3+ years architecting high-load systems or data pipelines in a production environment Deep expertise in distributed systems using modern languages (Go, Java, Rust, or Python) Strong, hands-on experience with relational and analytical databases (Postgres, ClickHouse preferred) Proven experience with microservices, containers, and modern DevOps practices (Docker, Kubernetes, GitOps, CI/CD) Demonstrated ability to combine hands-on coding with architectural leadership, including strong debugging, benchmarking, and performance optimization skills

Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies. Lead system-wide architectural decisions, focusing on data flow, performance, and resilience. Actively contribute to the codebase with high quality code. Lead major technical initiatives, reduce technical debt and ensure the platform meets reliability and scalability SLAs. Champion best engineering practices, code quality, testing and maintainability. Collaborate with product and engineering teams and R&D management to define the technical roadmap, review architecture and mentor junior engineers.