Job Description :
Cloudera is looking for a Senior Software Engineer in Test to join the machine learning platform team and help drive development of Cloudera’s next-generation machine learning and data science platform.
Our product accelerates machine learning from exploration to production for customers. You will be responsible for helping deliver an enterprise product that meets and exceeds our customers’ expectations around quality.
This role requires an empathetic mindset and close collaboration with developers, customers, support / field organizations and product management.
We look for "The Startup Spark", a desire to think outside the box and around the corner, break things, put the customer first, dive in wherever there's a need, eagerness to make an impact as an individual and the willingness to learn new things.
You must be self-motivated, innovative, and proactive.
The role offers significant opportunities for growth.
Build and maintain the test infrastructure with an eye towards efficiency, reliability and developer productivity
Drive the quality agenda (develop test plans & test cases, write automated tests) for new features
Collaborate with developers to design and implement testing strategies covering functional testing, customer workflow automation, fault injection, scale and performance testing.
Work closely with the development and support teams to triage product issues, identify product and test gaps and work towards addressing those gaps.
Collaborate with other teams at Cloudera to build tooling and infrastructure required for test automation
5+ years of experience in Quality Engineering
Experience leading quality teams in design and development of tests
Strong scripting skills in Python for test automation. Familiarity with debugging tools like pdb.
Experience building scalable, robust and secure Enterprise applications
Hands-on experience with containers and basic Linux system administration.
Self-driven and motivated, with a strong sense of ownership and craftsmanship.
Strong written and verbal communication skills.
Experience with data science and machine learning tools (R, Tensorflow, PyTorch, Scikit, Spark, Jupyter, Kubeflow)
Experience with cloud technologies (AWS, GCE, Azure)
Experience with microservices development (Go, GRPC, SQL)