We are seeking a hands-on and motivated Senior QA Engineer specializing in Test Automation to contribute to the quality engineering efforts for Infinia, DDN’s large-scale distributed data platform.
In this role, you will work on validating distributed system components by developing test strategies, building automation, and executing performance and reliability tests. You will collaborate closely with development, QA, and DevOps teams to ensure high product quality and continuous improvement in test coverage and processes.
This is a hands-on role for someone who enjoys problem-solving, automation, and working on complex systems at scale.
Key Responsibilities Quality Engineering & System ValidationDevelop and execute system test plans for distributed system components such as scheduling, memory, I/O paths, and platform services.
Validate system functionality, data consistency, and multi-tenant behavior under different scenarios.
Assist in identifying gaps in test coverage and contribute to improving validation strategies.
Design, develop, and maintain automated test cases using tools such as Python and Pytest.
Contribute to existing automation frameworks and improve test reliability and efficiency.
Explore and introduce new tools to improve automation efficiency.
Execute performance and scalability tests to evaluate system throughput, latency, and stability.
Help analyze system behavior using logs, metrics, and monitoring tools to identify issues.
Support debugging and troubleshooting of defects found during testing.
Collaboration & Development SupportWork closely with developers and QA team members to understand features and validate functionality.
Participate in feature discussions and provide inputs from a testability and quality perspective.
Collaborate with cross-functional teams to reproduce issues and verify fixes.
Documentation & Reporting
Document test cases, test results, and automation workflows.
Maintain clear records of defects, test coverage, and validation reports.
Contribute to improving QA processes and best practices.
5+ years of software development experience with strong proficiency in Python for test automation
Experience developing robust test automation suites for complex systems
Hands-on experience with test automation frameworks (pytest, unittest, Robot Framework, or similar)
Demonstrated ability to own and deliver test automation features in fast-paced environments
Understanding of distributed storage systems testing challenges and solutions
Experience with continuous integration/continuous deployment (CI/CD) pipelines and automated testing integration
Advanced Linux skills including networking, filesystems, and block storage
Familiarity with containerized testing environments and Docker
Preferred QualificationsExperience validating large-scale data platforms, storage engines, or distributed scheduling systems.
Experience working on data platforms, storage systems, or backend infrastructure systems.
Ansible experience — playbooks, roles, inventory management
SQL & schema design (PostgreSQL)
Experience with storage/HPC or S3 benchmarking tools (FIO, IOR, mdtest, IO500, warp)
Familiarity with observability tools (e.g., Grafana, Prometheus).
Knowledge of API testing tools and methodologies (REST, GraphQL)
ISTQB certification or equivalent knowledge is a plus.
Skills Required
- 5+ years of software development experience with strong Python proficiency for test automation
- Experience developing robust test automation suites for complex systems
- Hands-on experience with pytest, unittest, Robot Framework, or similar test automation frameworks
- Ability to own and deliver test automation features in fast-paced environments
- Understanding of distributed storage systems testing challenges and solutions
- Experience with CI/CD pipelines and automated testing integration
- Advanced Linux skills, including networking, filesystems, and block storage
- Familiarity with containerized testing environments and Docker
- Experience validating large-scale data platforms, storage engines, or distributed scheduling systems
- Experience working on data platforms, storage systems, or backend infrastructure systems
- Ansible experience with playbooks, roles, and inventory management
- SQL and schema design experience with PostgreSQL
- Experience with storage, HPC, or S3 benchmarking tools such as FIO, IOR, mdtest, IO500, or warp
- Familiarity with observability tools such as Grafana and Prometheus
- Knowledge of REST and GraphQL API testing tools and methodologies
- ISTQB certification or equivalent knowledge
What We Do
DDN is the world’s largest private data storage company and the leading provider of intelligent technology and infrastructure solutions for Enterprise At Scale, AI and analytics, HPC, government and academia customers. Through its DDN and Tintri divisions, the company delivers AI, Data Management software and hardware solutions, and unified analytics frameworks to solve complex business challenges for data-intensive, global organizations. DDN provides its enterprise customers with the most flexible, efficient and reliable data storage solutions for on-premises and multi-cloud environments at any scale. Over the last two decades, DDN has established itself as the data management provider of choice for over 11,000 enterprises, government, and public-sector customers, including many of the world’s leading financial services firms, life science organizations, manufacturing and energy companies, research facilities, and web and cloud service providers.
