Lead / Staff Software Engineer - SDET

Black Duck Software

7 - 10 years

25 - 30 Lacs

bengaluru

Posted:23 hours ago| Platform:

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Skills Required

software qa automation manual testing linux coding perl selenium troubleshooting open source python

Work Mode

Work from Office

Job Type

Full Time

Job Description

BE/BTech/MCA/4 years BS Degree in an Engineering, or equivalent
7 + years of hands-on QA experience in Agile/Scrum environments with advanced proficiency in both automated and manual testing of web applications
Proficiency in
programming/coding
concepts - Python,
Advanced
Linux command
line scripting, and at least one scripting language (
Python preferred
; Ruby or Perl are also acceptable)
Expertise in at least one of the Web automation frameworks (preferably
Selenium Webdriver
and
Robot Framework
)
Expertise in troubleshooting/working with containerized services (
Kubernetes, Docker
)
Leverage AWS-hosted QA environments
for deployment, automation, and validation tasks, primarily within dedicated QA instances
Advanced proficiency in acceptance, regression, exploratory, and usability testing
Advanced knowledge of defect tracking systems such as JIRA, Bugzilla, etc.
Excellent troubleshooting, defect reporting, planning, and communication skills are required
Strong experience in
API testing and automation using Postman
Experience with version control software (preferably GIT)
Must be a team player and possess a desire for building consensus

Preferred qualifications:

Experience with Kubernetes, Docker and Ansible
Experience creating test cases based on design documentation (knowledge of TestLink is a plus)
Experience with continuous integration
Exposure to security testing or application security tools is a plus

Key responsibilities:

Collaborate with the QA Automation engineering team to ensure the code quality of the Continuous Dynamic product line through manual, automated, and exploratory testing of our web applications
Assisting the Automation team with tasks, creating and rebasing automation, verifying the product in pre-prod and production environments, and maintaining our growing suite of automation jobs
Using container technologies like Kubernetes and Docker in a continuous integration lifecycle
Performing acceptance, regression, usability and exploratory testing

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