As industries race to embrace AI, traditional database solutions fall short of rising demands for versatility, performance, and affordability. Couchbase is leading the way with Capella, the developer data platform for critical applications in our AI world. By uniting transactional, analytical, mobile, and AI workloads into a seamless, fully managed solution, Couchbase empowers developers and enterprises to build and scale applications with unmatched flexibility, performance, and cost-efficiency--from cloud to edge. Trusted by over 30% of the Fortune 100, Couchbase is unlocking innovation, accelerating AI transformation, and redefining customer experiences. Come join our mission.
The Couchbase QE team is looking for a Software Engineer 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 building and implementation
Proficiency in coding - Python, C/C++, Java, or Golang
2+ years of experience as SDET
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)
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