SDET

Senior Software Development Engineer in Test

Full-stack Engineer

• Design, develop, and maintain software libraries and features in Golang, Python, and Rust to enhance the GRIDScaler product.
• Build and maintain CLI and REST API interfaces for internal and customer-facing tools.
• Develop and integrate telemetry, observability, and monitoring solutions to improve product reliability and customer support.
• Write and maintain unit tests, functional tests, and automation scripts to ensure robust deliverables.
• Collaborate with Engineering Managers and a geographically distributed team to understand requirements and translate them into scalable software solutions.
• Work with QA and DevOps teams to configure and maintain the Jenkins-based build and CI/CD pipelines .
• Assist in debugging and resolving customer escalations , including performance and stability issues.
• Contribute to product documentation and knowledge sharing within the engineering team.

Lead Software Engineer

Support Engineer

• Serve as Product Support Specialist for DDN Infinia, providing technical expertise during product development, testing, and post-release.
• Act as subject matter expert for L1/L2 teams to address and resolve complex customer issues and support critical incidents/escalations.
• Assist technical support team with case root-cause analysis and help define AI-powered debugging, log analysis, and system pattern recognition tools.
• Collaborate with Engineering and Product Management to support product design, release, and ongoing quality, including developing tooling and support processes for new product introduction.
• Participate in product testing, beta programs, and analyze/report on field data post-release to identify trends and optimizations.
• Develop and maintain technical documentation, KB articles, playbooks, troubleshooting guides, and integration manuals for new product releases.
• Provide technical training and knowledge transfer to FLS/L1/L2 engineers and mentor support on AI/Automation adoption.

Product Support Engineer

• Triage, diagnose, and troubleshoot problems with DDN storage systems in customer production environments.
• Take ownership of customer cases, validate technical aspects, and drive them to resolution with root cause analysis.
• Serve as primary escalation point for high-severity support cases, coordinating with customers and internal teams to minimize customer impact.
• Develop and contribute to AI-powered debugging, log analysis, and system pattern recognition tools to accelerate resolution.
• Collaborate with engineering, support, and services teams to coordinate feature development and software patches addressing field issues.
• Review product documentation and provide feedback for internal and external customer needs; propose product quality and usability improvements.
• Conduct product and feature training sessions for Technical Support & Professional Services teams.
• Participate in PIER (Post Incident & Escalations Review) discussions and executive briefings; produce executive-ready RCAs.
• Provide on-call assistance outside regular hours during critical customer issues.

Staff Software Engineer

• Be the final escalation point for the most complex and critical issues affecting enterprise and hyperscale environments.
• Technical leader of the In-Market Engineering team, driving technical decisions for the team.
• Build and implement a tools platform strategy for Infinia.
• Build a reporting platform for Infinia using dial-home data.
• Define and implement training for the support organisation.
• Deliver log analytics strategy and design framework for Infinia.
• Own critical customer case escalations end-to-end, including deep root cause analysis and mitigation strategies.
• Utilize AI-powered debugging, log analysis, and system pattern recognition tools to accelerate resolution.
• Be the subject-matter expert on Infinia internals: metadata handling, storage fabric interfaces, performance tuning, AI integration, etc.
• Reproduce complex customer issues and propose product improvements or workarounds.
• Author and maintain detailed runbooks, performance tuning guides, and RCA documentation.
• Feed real-world support insights back into the development cycle to improve reliability and diagnostics.
• Partner with Field CTOs, Solutions Architects, and Sales Engineers to ensure customer success.
• Translate technical issues into executive-ready summaries and business impact statements.
• Participate in post-mortems and executive briefings for strategic accounts.
• Drive adoption of observability, automation, and self-healing support mechanisms using AI/ML tools.

Senior Staff Engineer – AI In-Market Engineering

• Serve as final escalation point for complex and critical issues in enterprise and hyperscale environments
• Lead technical direction of the In-Market Engineering team and drive technical decisions
• Build and implement tools platform strategy for Infinia and a reporting platform using dial-home data
• Define and implement training for the support organization and author runbooks, performance tuning guides, and RCA documentation
• Deliver log analytics strategy and design framework for Infinia; utilize AI-powered debugging, log analysis, and system pattern recognition tools
• Own critical customer case escalations end-to-end, including deep root cause analysis and mitigation strategies
• Reproduce complex customer issues, propose product improvements or workarounds, and feed real-world support insights back into development
• Partner with Field CTOs, Solutions Architects, and Sales Engineers to ensure customer success and translate technical issues into executive-ready summaries
• Participate in post-mortems and executive briefings for strategic accounts; drive adoption of observability, automation, and self-healing support mechanisms

• Participate in the design and development of our Data Services and Software Defined Storage solution
• Conceptualize original ideas that bring simplicity and user friendliness to complex design challenges and user scenarios
• Led the design of our platform management effort, targeting an user-friendly experience when deploying Infinia on a variety of platforms.
• Within the Scrum model, participate in full product development lifecycle including planning, design, code, test, usability reviews, release and maintenance
• This position requires participation in an on-call rotation to provide after-hours support as needed.

Staff Software Engineer - Platform Management

• Design and develop DDN’s Next Generation Data Services and Software Defined Storage platform
• Help design and build the data management platform and platform management effort, targeting user-friendly deployments of Infinia on various platforms
• Conceptualize original ideas to simplify complex design challenges and user scenarios
• Participate in full product development lifecycle within Scrum: planning, design, code, test, usability reviews, release and maintenance
• Lead platform deployments, orchestration, and resource management features
• Participate in an on-call rotation to provide after-hours support as needed
• Collaborate with cross-functional and geographically distributed teams

Staff Software Engineer, Platform Management

Data Scientist

• Developing strategies to identify and mitigate inefficiencies in support operations for ExaScaler and SFA systems.
• Automating the collection and analysis of logs to reduce support resolution times.
• Designing and implementing real-time health scoring systems and dashboards for quick assessment of system status.
• Enhancing the search functionality of the knowledge base using natural language processing (NLP) algorithms.
• Developing a recommendation engine to suggest relevant articles and solutions based on context.
• Implementing machine learning algorithms to detect duplicate issues in Jira and providing automated merge suggestions.
• Creating and maintaining a centralized database of available patches and developing automated notifications for relevant patches.
• Collaborating with support engineers, sales engineers, and other stakeholders to understand requirements and deliver effective solutions.
• Documenting solutions, including implementation details and user guides, and providing training to support teams.

Data Science Specialist

Director

• Lead the engineering managers and teams responsible for building the management, deployment, and monitoring ecosystems of the Infinia product
• Ensure alignment, scalability, and consistency across the full software and hardware lifecycle of Infinia
• The Director will set the technical vision and strategy, guide manager and team development, and drive cross-functional collaboration with product management, QA, DevOps, Support, and hardware engineering
• This leader will ensure that Infinia provides a cohesive, reliable, and user-friendly management experience across all supported platforms
• Define and drive the vision for platform and cluster management in alignment with overall Infinia product strategy
• Translate business objectives into technical roadmaps for both teams and foster a culture of engineering excellence
• Provide career development, mentorship, and performance feedback to managers and senior engineers
• Scale the organization to meet product and business growth needs
• Execute end-to-end delivery of features spanning software deployment, upgrades, hardware and firmware management, monitoring, licensing, security, and APIs/CLIs
• Oversee integration and alignment between platform and cluster management entry points
• Establish clear ownership boundaries and cross-team collaboration processes
• Partner with product management to shape requirements and priorities; coordinate with devops on deployment and automation; work with QE to ensure high quality
• Collaborate with support and field engineering on customer issues, feedback loops, and product quality; engage with hardware vendors, certification partners, and cloud providers to ensure ecosystem readiness
• Champion testability, reliability, and security across all deliverables; drive documentation and publication consistency; implement metrics, monitoring, and KPIs for engineering execution and product quality
• Participate in an on-call rotation as needed

Director, Platform and Cluster Management

Artificial Intelligence

• Design and execute performance benchmarks across AI, HPC, and storage platforms
• Run and tune AI inference workloads using frameworks such as PyTorch, TensorFlow, Triton, NVIDIA NIMs, and vector databases
• Benchmark large-scale RAG pipelines including data ingestion, retrieval, and inference performance
• Profile and optimize MPI and multi-node distributed applications
• Compile and debug C/C++, Python, and CUDA-based codes across heterogeneous systems
• Generate automated test scripts and benchmarking workflows (e.g., with Bash, Python, or Slurm job scripts)
• Analyze and visualize results using Excel, Jupyter, or reporting tools; create comparison graphs and KPIs
• Write clear, concise performance reports for both technical and non-technical stakeholders
• Present findings internally and externally, translating results into architectural guidance for field engineers and sales teams
• Collaborate with system engineers, product managers, and partners to tune and improve software/hardware stack performance
• Validate and tune performance on storage systems including parallel file systems (e.g., Lustre, GPFS), object storage, and NVMe over Fabrics
• Contribute to internal tooling to automate test cycles and performance regression tracking

Senior Benchmark and Performance Engineer – AI and Storage Systems

• DDN is a global leader in AI and high-performance data storage, accelerating AI workloads
• DDN’s Next Generation Data Services Platform: intelligent resource management, real time analytics, mobile-era UX
• Hands-on Staff Software Engineer to design and build the data management platform
• Participate in design and development of Data Services and Software Defined Storage solution
• Conceptualize original ideas to simplify complex design challenges and user scenarios
• Participate in full product development lifecycle within Scrum: planning, design, code, test, usability reviews, release and maintenance
• Position requires participation in an on-call rotation to provide after-hours support as needed.

Manager

• Manage and optimize DDN’s GSS logistics network, UPS-SCS to ensure efficient and timely delivery of products globally
• Forward and reverse logistics and planning teams oversight
• Oversee and ensure compliance with international trade regulations, including IOR/EOR requirements
• Develop and maintain relationships with IOR/EOR partners and coordinate global trade and strategic planning activities
• Work directly with the factory on open order backlogs
• Control costs to ensure adherence to budget
• Collaborate with internal teams to streamline logistics processes and improve overall efficiency
• Monitor and analyze logistics performance metrics to identify areas for improvement and implement effective strategies
• Stay updated on industry trends, regulations, and best practices to ensure continuous compliance and innovation

Senior Software Development Engineer in Test

Lead Software Engineer

Product Support Engineer

Staff Software Engineer

Senior Staff Engineer – AI In-Market Engineering

Senior Staff Engineer – AI In-Market Engineering

Staff Software Engineer - Platform Management

Staff Software Engineer, Platform Management

Data Science Specialist

Director, Platform and Cluster Management

Senior Benchmark and Performance Engineer – AI and Storage Systems

Staff Software Engineer

GSS Logistics Manager