Job description:
Couchbase is growing rapidly, and the Engineering and Cloud teams are at the foundation of our growth.You’ll join at an ideal time to make a big impact. Our systems have scaled well to date but we need to expand our capabilities by an order of magnitude.What this means is that we need to successfully formulate, organize, coordinate, and monitor interconnected projects and programs of large scope, impact, and complexity through all phases of the life cycle.
The Couchbase QE team is looking for a Lead Engineer in Test who can drive high quality for all the components. As part of this role, you will learn the Couchbase products and QE's functional and system test frameworks to scale-out our data infrastructure software systems.
You will optimize the framework developed in Python/Golang to handle larger scales under heavy load and stressful conditions. You will be part of a great team that is going through some exciting growth and development.
Requirements
- Highly skilled in automation and test framework implementation
- Proficiency in coding - Python, C/C++, Java, or Golang
- 7- 9 years of experience in software quality assurance with at least 1 year as Lead Engineer
- In-depth knowledge of tools automation and optimization
- Demonstrated knowledge of testing one or more of the following: server performance, API interfaces, databases, file systems, operating systems, network performance and storage
- Experience with working on large-scale enterprise distributed systems or relational/NoSQL databases
- Experience setting up and configuring test environments along with infrastructure as a service including Windows and Linux operating systems, networking and proxies, and client-server tests
- Experience capturing network traces and basic analysis
- Excellent written and oral communication skills, analytical skills, fanatical attention to detail, and curiosity
- Demonstrated competence and self-motivation in analyzing problems
- Ability to work in a fast-paced environment and to be an outstanding team player
- Experience with cloud platforms (AWS, GCP, Azure) and managing Kubernetes clusters on these platforms is an added advantage
- Knowledge of CI/CD tools and practices (e.g., Jenkins, GitLab CI, Argo CD)