Software Engineer, Cloud Native Observability Management Platform - Data Infrastructure

职位描述

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.

任职要求

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.