Senior Cloud-Native Observability Platform Engineer

ByteDance; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ByteDance invites a software engineer to join the Cloud Native-Observability Team, building data infrastructure for the company's full-stack observability products and volcano-engine's observability capabilities. You will contribute to scalable time-series services and ensure high performance in production environments.

The role emphasizes Go or Java, microservice frameworks, and strong grounding in observability tooling such as Prometheus, Grafana, ELK or Jaeger.

Qualifications

• 5 years of software engineering experience in large-scale production environments.
• Bachelor's degree in Computer Science or related field.
• Proficient in Go or Java (at least one) with experience in microservice frameworks such as gin/kitex/Spring.
• Strong understanding of Observability; familiar with tools like Prometheus/Grafana/ELK/Jaeger.
• Server-side multi-threading/high concurrency; good coding practices including unit testing.

Responsibilities

• Deliver and optimize user-oriented operation products and 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.

Skills

Go/Java

Microservices

Observability

Concurrency

Unit testing

Education

Bachelor's degree in Computer Science

Tools

Prometheus

Grafana

ELK Stack

Jaeger

Kubernetes

Job description

ByteDance invites a software engineer to join the Cloud Native-Observability Team, building data infrastructure for the company's full-stack observability products and volcano-engine's observability capabilities. You will contribute to scalable time-series services and ensure high performance in production environments.

The role emphasizes Go or Java, microservice frameworks, and strong grounding in observability tooling such as Prometheus, Grafana, ELK or Jaeger.