Your Role

• Design & develop hybrid/multi-cloud tests on a product that is distributed, resilient, and highly-performant at a large scale deployment.
• Contribute to all phases of product testing through design of tests, automation, and regression suite triages/fixes.
• Have an aptitude for understanding the product as a whole and design system tests based on new features/functionalities.
• Develop libraries and corresponding automation to produce high quality, reusable, and extensible test cases through an API-motivated approach.
• Collaborate with cross-functional teams including other Developers, Testers, Product Management, and Support to meet customer requirements while driving engineering innovation.
• Participate in defining product requirements, reviewing designs and codes of other engineers, reviewing product design, performance, and scalability plans.
• Take ownership of the product features and work on one's own with minimal supervision to design & deliver module-level functionality.

What You Will Bring

• Bachelor's degree in Computer Science or related fields with 2–5 years of relevant industry experience or Master's degree in Computer Science or related fields with 1–4 years of experience. Love of programming, ability, and passion to solve complex problems
• Strong experience in one or more languages; Python and Go
• Knowledge of REST API specifications and testing, including experience interfacing and integrating multiple products using the APIs
• Experience with Docker, Kubernetes, and Go Programming Language will be a definite plus. Experience testing distributed, cloud-native systems
• Familiarity with concepts of disaster recovery, data protection, distributed data management, clustered, high-performance, and fault-tolerant distributed systems software
• Experience working in an Agile/Scrum development process, including DevOps and CI/CD. Experience with Version Control System (git)
• Basic understanding of UNIX/Linux/Windows
• Experience with Hadoop, MapReduce, Cassandra, Zookeeper, and other large-scale distributed systems preferred
• Can-do attitude while solving difficult problems spanning across multiple teams
• Comfortable working in a fast-moving, agile environment