Ho Chi Minh City
Work with other engineering teams to design, build and operate cloud-based infrastructures that meet their needs.
Design and conduct reliability tests. Carry out capacity planning. Identify performance bottlenecks and optimize systems’ performance.
Manage production incidents, investigate, analyze root causes, resolve issues and build-up prevention mechanisms.
Build internal tools and automation systems that improve engineering productivity, efficiency, and quality. For example efficient CI/CD pipelines, self-service observability tools, code quality checkers. Define workflows, conventions, best practices. Provide guidance for other engineers on how to use these tools effectively.
2,800 $ - 3,000 $
You are curious about how complex systems work. You are eager to open up abstraction levels lower than what a typical backend engineer is comfortable with.
You keep yourself up-to-date on technical trends. You are eager to explore new technologies but are careful in evaluating their merits and tradeoffs based on sound principles rather than hearsay.
You believe that good tooling and automation systems play a crucial role in an engineering-heavy organization. You like to identify drawbacks of existing, off-the-shelf tools, and to build custom solutions to rectify their deficiencies.
You have the habit of thinking and communicating both qualitatively and quantitatively. You tend to make data-driven decisions and clearly articulate them. You value simple but well-documented solutions over clever but opaque systems.
5+ years of hands-on experience with cloud-based infrastructures (AWS, GCP, or Azure) either at the position of DevOps, CloudOps, Reliability Engineer, Performance Engineer, System Engineer, or Backend Developer.
Ability to evaluate tradeoffs involved with various cloud services.
Comfortability writing Bash/Python for ad-hoc automation tasks. Familiarity with infrastructure-as-code practices and tools.
Fluency with common Unix's administrative tools and administration tasks.
Good grasp of common network protocols: TCP/IP, TLS, HTTP, SSH... Basic understanding of Linux’s internals. For example process scheduling, memory management, IO mechanisms.
A clear understanding of different types of storage systems, and their respective trade-offs.
Hands-on experience with Docker and Kubernetes is a strong plus.
Good at English.
Salary range: up to USD 3,000 gross