Cloud Native Observability Management Platform Engineer - Data Infrastructure

About the Team Join ByteDance's Cloud Native-Observability Team! We build the data infrastructure for the company's full-stack observability products and deliver volcano-engine's observability capabilities. Leveraging k8s, Docker, Spring, and time-series engine tech, we provide high-quality, cost-effective, and high-performance time-series services. Key Responsibilities - Deliver and optimize user-oriented operation products & SRE-oriented O&M products for ByteDance and Volcengine's cloud-native time-series database. - Develop cloud-native intelligent management platform for observability time-series engine, covering cluster lifecycle (creation, configuration, HA, disaster recovery, backup, audit, etc.). - Build and optimize automated testing frameworks (function, performance, stability) to support observability business. - Drive quality engineering and stability construction for observability services. Minimum Qualifications - 5 years of experience in software engineering for large-scale production environments. - Bachelor's degree in Computer Science or a related field. - Proficient in Go/Java (at least one), with experience in microservice frameworks such as gin/kitex/Spring. - In-depth understanding of Observability; familiar with at least one tool (Prometheus/Grafana/ELK Stack/Jaeger, etc.). Large-scale data experience preferred. - Skilled in server-side multi-threading/high concurrency; good coding practices (clean code, unit testing). Preferred Qualifications - Familiar with MySQL/PostgreSQL; knowledge of relational DB principles or O&M experience is a plus. - Practical experience in K8s/Yarn/Mesos (with source code knowledge) or distributed consistency protocols (Raft/Paxos) is a plus.