DataDirect Networks
Sr. Software QA Engineer
DataDirect Networks, Colorado Springs, Colorado, United States, 80509
Sr. Software QA Engineer
Job Locations:
US-CO-Colorado Springs
Job ID:
2024-5000
Office:
Colorado Springs
Country:
United States
City:
Colorado Springs
Worker Type:
Regular Full-Time Employee
Overview This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.
"DDN's A3I solutions are transforming the landscape of AI infrastructure." - IDC
"The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments" - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA
DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data.
Job Description We are currently seeking a QA Test Engineer to work in Colorado Springs, CO. The candidate will work on DDN's flagship family of SFA products which are customized to deliver extremely high-speed performance using cutting edge technology.
The QA Engineer develops, maintains, and executes automated test cases, testing/QA infrastructures for all phases of testing storage subsystems. Evaluates, recommends automated test tools/scripts and strategies to expedite testing cycles and improve overall testing quality. Architect, design and implement test harness software, hardware and system solutions used for all phases of development and testing.
Responsibilities for this role include but are not limited to:
Architect, design and develop solutions to expedite test.
Design test cases on new product features.
Design test strategies, test plans, and test cases, leveraging test automation.
Work with other test and development engineers to develop overall automation test architecture that is flexible and reusable across storage platforms.
Reviews acceptance criteria, reviews test cases and test automation code, sets up environments, and communicates regularly to project team on defects, issues, and QA status.
Coordinate testing effort with other project teams across the globe.
Work closely with the Test Architect, other Test Engineers and Developers/Designers to understand and provide solutions for any challenges that could impact the delivery of test automation.
Support development & QA teams with system setup, administration, configuration and troubleshoot any equipment issues.
Manual test execution required until backlog of manual tests can be automated.
Qualifications for this role are:
Bachelor's degree or equivalent in a relevant field (engineering, quality or related) is required.
5+ years of software test and QA experience specially in the Storage domain.
Experience with all phases of the development life cycle.
Experience with QA methodology, functional and structural testing techniques (Agile a plus).
Experience with some BASH and experience with Python.
Experience using source code control systems (git).
Experience using SQA bug tracking systems (Jira).
Ability to read and understand coding languages and logic.
Good problem solving, organizational, interpersonal and team skills.
Ability to work seamlessly as part of a multi-site, multicultural engineering team.
Self-motivated, passionate, and driven to achieve committed milestones.
Strong team player with excellent written and verbal skills.
Ability to work in a fast-paced development environment with a broad scope of evolving responsibilities.
Salary ranges are determined based on role, level, and location. The annual base salary range is $83,349.00 - $154,790.00.
DDN Join our dynamic and driven team, where engineering excellence is at the heart of everything we do. We seek individuals who love to challenge themselves and are fueled by curiosity.
Interview Process:
After submitting your application, one of our recruiters will review your resume. If your application passes this stage, you will be invited to a 30-minute interview during which a member of our team will ask some basic questions. If you clear the interview, you will enter the main process, which can consist of up to four interviews in total:
Coding assessment: Often in a language of your choice.
Systems design: Translate high-level requirements into a scalable, fault-tolerant service (depending on role).
Real-time problem-solving: Demonstrate practical skills in a live problem-solving session.
Meet and greet with the wider team.
Our goal is to finish the main process in 2-3 weeks at most.
DataDirect Networks (DDN) is an Equal Opportunity/Affirmative Action employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, transgender, sex stereotyping, sexual orientation, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
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US-CO-Colorado Springs
Job ID:
2024-5000
Office:
Colorado Springs
Country:
United States
City:
Colorado Springs
Worker Type:
Regular Full-Time Employee
Overview This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.
"DDN's A3I solutions are transforming the landscape of AI infrastructure." - IDC
"The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments" - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA
DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data.
Job Description We are currently seeking a QA Test Engineer to work in Colorado Springs, CO. The candidate will work on DDN's flagship family of SFA products which are customized to deliver extremely high-speed performance using cutting edge technology.
The QA Engineer develops, maintains, and executes automated test cases, testing/QA infrastructures for all phases of testing storage subsystems. Evaluates, recommends automated test tools/scripts and strategies to expedite testing cycles and improve overall testing quality. Architect, design and implement test harness software, hardware and system solutions used for all phases of development and testing.
Responsibilities for this role include but are not limited to:
Architect, design and develop solutions to expedite test.
Design test cases on new product features.
Design test strategies, test plans, and test cases, leveraging test automation.
Work with other test and development engineers to develop overall automation test architecture that is flexible and reusable across storage platforms.
Reviews acceptance criteria, reviews test cases and test automation code, sets up environments, and communicates regularly to project team on defects, issues, and QA status.
Coordinate testing effort with other project teams across the globe.
Work closely with the Test Architect, other Test Engineers and Developers/Designers to understand and provide solutions for any challenges that could impact the delivery of test automation.
Support development & QA teams with system setup, administration, configuration and troubleshoot any equipment issues.
Manual test execution required until backlog of manual tests can be automated.
Qualifications for this role are:
Bachelor's degree or equivalent in a relevant field (engineering, quality or related) is required.
5+ years of software test and QA experience specially in the Storage domain.
Experience with all phases of the development life cycle.
Experience with QA methodology, functional and structural testing techniques (Agile a plus).
Experience with some BASH and experience with Python.
Experience using source code control systems (git).
Experience using SQA bug tracking systems (Jira).
Ability to read and understand coding languages and logic.
Good problem solving, organizational, interpersonal and team skills.
Ability to work seamlessly as part of a multi-site, multicultural engineering team.
Self-motivated, passionate, and driven to achieve committed milestones.
Strong team player with excellent written and verbal skills.
Ability to work in a fast-paced development environment with a broad scope of evolving responsibilities.
Salary ranges are determined based on role, level, and location. The annual base salary range is $83,349.00 - $154,790.00.
DDN Join our dynamic and driven team, where engineering excellence is at the heart of everything we do. We seek individuals who love to challenge themselves and are fueled by curiosity.
Interview Process:
After submitting your application, one of our recruiters will review your resume. If your application passes this stage, you will be invited to a 30-minute interview during which a member of our team will ask some basic questions. If you clear the interview, you will enter the main process, which can consist of up to four interviews in total:
Coding assessment: Often in a language of your choice.
Systems design: Translate high-level requirements into a scalable, fault-tolerant service (depending on role).
Real-time problem-solving: Demonstrate practical skills in a live problem-solving session.
Meet and greet with the wider team.
Our goal is to finish the main process in 2-3 weeks at most.
DataDirect Networks (DDN) is an Equal Opportunity/Affirmative Action employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, transgender, sex stereotyping, sexual orientation, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
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