Principal QA Architect Infinia
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Job Summary
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 worlds most demanding AI data centers in industries ranging from life sciences and healthcare to financial services autonomous cars Government academia research and manufacturing.
DDNs 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. With a proven track record of performance reliability and scalability DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.
Our success is driven by our unwavering commitment to innovation customer-centricity and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.
Our commitment to innovation customer success and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.
Job Description
Principal Architect Quality Engineering Framework
About the Role
As Principal Architect for Quality Engineering Frameworks you will own the technical vision architecture and evolution of Infinias pytestbased automation platform. This role is responsible for transforming automation into a scalable developercentric service that validates correctness performance resilience and realworld behavior across highly distributed systems.
This is a handson staffplus individual contributor role with broad organizational influence. You will write and review productionquality code define architectural standards and mentor engineers across QE and Development.
Responsibilities
Framework Architecture
Own the endtoend architecture and technical direction of the Python/pytest automation framework.
Define architectural standards extension points and longterm evolution.
Make and document architectural tradeoffs through design reviews and Architectural Decision Records.
Ensure the framework scales with system complexity and organizational growth.
Automation Platform and Reusable Tooling
Design and implement reusable Python libraries pytest fixtures and plugins.
Provide a selfservice automation platform with a clear opinionated paved road for developers.
Enable testing of APIs CLIs storage systems and distributed workloads using shared abstractions.
Maintain strict standards for determinism readability and maintainability.
System Correctness POSIX S3 and Storage Validation
Architect automation validating POSIX filesystem semantics including metadata operations locking concurrency permissions and consistency
Validate object block and networked storage systems including S3compatible object storage NVMe/iSCSI and NFS/SMB.
Ensure correctness under failure scenarios scale and sustained load.
Distributed Systems Resilience and Scale
Design automation covering clustering behavior membership changes failover and recovery.
Validate horizontal and elastic scaling in real deployment conditions.
Extend automation into repeatable resilience and chaos testing beyond simple failure injection.
Performance and Stress Testing
Integrate performance and stress testing into CI/CD pipelines.
Use tools such as fio IOR Minio Warp Mongoose and MLPerf.
Validate throughput latency and stability and continuously detect performance regressions.
Cloud and Execution Environments
Architect automation to execute consistently across AWS and GCP.
Support execution on Kubernetes Docker hypervisors and baremetal systems.
Validate cloudspecific behaviors including autoscaling contention networking variability and zonal failure modes.
Balance execution scale cost and feedback time.
TelemetryDriven Validation
Integrate automation with Grafana Prometheus and ELK.
Validate system behavior using metrics and logs in addition to test assertions.
Enable deep diagnostics and rootcause analysis from automated runs.
Code Quality and Technical Leadership
Lead code reviews for framework and automation contributions.
Enforce architectural and coding standards across the automation repository.
Act as a technical authority for test design and framework usage.
Mentor QE and Development engineers in Python pytest and automation architecture.
DDN
DataDirect Networks Inc. 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.
Required Experience:
Staff IC
Key Skills
About Company
Revolutionize your AI & HPC ops with DDN® data storage & management solutions. Achieve peak performance, seamless cloud integration & scalable efficiency.
