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 Pre-Sales Solutions Architect - India Job Description: We are currently seeking candidate for Pre-Sales Solutions Architect India, to join our dynamic team of passionate customer-enabling technologists ! The ideal candidate will have a deep understanding of AI & HPC infrastructure solutions and a proven track record of driving successful pre-sales engagements with great communications and presentation skills. The candidate expected to: Design solutions and proposals to meet customer-defined specifications, Help customers define solution specifications matching DDN products, Provide Proof of Concept (POC) and benchmarking support, Compare and contrast with competitive products to highlight DDN s superior features & functionality Work with DDN engineering, professional services and sales teams to drive win ratio. Duties and Responsibilities: The duties and responsibilities for this role include but are not limited to; Pre-sales activity supporting HPC and AI customers. Assist in closing new business opportunities by gaining a thorough technical and business understanding of clients needs and helping sales identify, qualify, and close new opportunities. Understand the sales process and how to utilize company resources to close accounts. Participate in customer-focused seminars, tradeshows, events, and training. Provide RFP responses, technical drawings, presentations, and recommendations. Acquire and maintain a thorough technical and procedural understanding of DDN Sales cycles, products/services and a thorough technical understanding of similar industries. Create of Bill of Materials of proposed solutions for DDN products and professional services. Ability to work with DDN Subject Matter Experts from different geographies and time zones. Ability to manage customer relationship post-sale, including strategy to close repeat business. Qualifications: BSc or higher degree or equivalent PERSONAL SKILLS: Ability to simplify and explain complex tasks, architectures and environments. Good written and oral communication skills. Must be able to develop and deliver presentations; connect and build a rapport with customers via phone, face to face meetings, and in written correspondences. Ability to work independently, respond timely and remain composed in hectic environments. Ability to listen, understand and articulate the customers needs, along with possible solutions to sales team and sales management. IT INCREASE YOUR CHANCES OF GETTING HIRED IF YOU HAVE: 5+ years of relevant pre-sales experience Good understanding of AI ecosystem of NVIDIA/AMD/INTEL GPUs including but not limited to hardware components, software libraries, containerization technologies like Docker and Kubernetes, middleware and application stack. Good understanding of storage technologies including SAN, NAS, DAS, Parallel Filesystems, Object Storage, Software Defined Storage etc. Good knowledge of storage protocols like BLOCK I/O, NFS, SMB and S3 and what s required to build solutions around them. Good understanding of Ethernet and InfiniBand networking technologies including network topology, blocking ratios, throughput and IOPS capabilities etc. Experience of working with Lustre/GPFS/Weka/BeeGFS in the capacity of building or deploying the solution is a plus. Experience of architecting or deploying solutions in public or private clouds and multitenant environments. Understanding of appropriate content to be developed to address different set of customers (as per their seniority level in the organization). DDN DDN Core Competencies: DDN has a very strong orientation towards these four characteristics and any successful employee will demonstrate these capabilities: Self-Starter - Takes independent action to identify and solve problems. Seeks out relevant information needed to make decisions. Gets involved with new initiatives. Success/Achievement Orientation - Delivers quality results consistently. Targets, achieves (or exceeds) measurable results. Sets challenging goals, focuses on critical priorities, and is accountable. Problem Solving - Recognizes problems and responds with a systematic assessment that identifies and addresses cause of issue. Practical, realistic, and resourceful. Innovative - Builds and improves key business processes that enhance the effectiveness of DDN. Generates new ideas, challenges the status quo, and solves problems creatively. 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.

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 Job Summary: We are looking for a Lead Quality Assurance (QA) Engineer to work on validation of high-performance storage solutions for HPC and AI markets. The ideal candidate will have experience designing, implementing, debugging and running both automated and manual software-based tests in a Linux environment, using shell tools and scripts. Responsibilities for this role include but are not limited to : Design and develop both automated and manual test cases to validate product features Run automated and manual tests as needed to validate product defect fixes and functionality Work with the Engineering manager and a geographically distributed team to understand product requirements and features Triage test failures on a daily basis Contribute to QA reports and provide input on release metrics Contribute to and validate product documentation Qualifications: BS/MS in Computer Science, Computer Engineering or equivalent degree/experience. 5+ years of component and system-level test experience 5+ years of experience working in Linux environments with shell script languages; experience with bash is highly desirable, Python experience is a plus 3+ years of experience working with enterprise-class or HPC storage systems and/or distributed systems Attention to detail and commitment to high quality/error free deliverables. Strong team player with good communication skills and should be self-starter Excellent time management skills, with the ability to independently prioritize, multitask, and work under deadlines in a fast paced environment Knowledge of Parallel File Systems, in particular Lustre, is highly preferred. Experience with git, JIRA, Jenkins and gerrit preferred DDN 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.

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 As a Staff Software Engineer - AI In-Market Engineering , you ll be the final escalation point for the most complex and critical issues affecting enterprise and hyperscale environments. This hands-on role is ideal for a deep technical expert who thrives under pressure and has a passion for solving distributed system challenges at scale. You ll collaborate with Engineering, Product Management, and Field teams to drive root cause resolutions, define architectural best practices, and continuously improve product resiliency. Leveraging AI tools and automation, you ll reduce time-to-resolution, streamline diagnostics, and elevate the support experience for strategic customers. Key Responsibilities Technical Expertise & Escalation Leadership Own critical customer case escalations end-to-end, including deep root cause analysis and mitigation strategies. Act as the highest technical escalation point for Infinia support incidents especially in production-impacting scenarios. Lead war rooms, live incident bridges, and cross-functional response efforts with Engineering, QA, and Field teams. Utilize AI-powered debugging, log analysis, and system pattern recognition tools to accelerate resolution. Product Knowledge & Value Creation Become a 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. Customer Engagement & Business Enablement 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. Required Qualifications 8+ years in enterprise storage, distributed systems, or cloud infrastructure support/engineering. Deep understanding of file systems (POSIX, NFS, S3), storage performance, and Linux kernel internals. Proven debugging skills at system/protocol/app levels (e.g., strace, tcpdump, perf). Hands-on experience with AI/ML data pipelines, container orchestration (Kubernetes), and GPU-based architectures. Exposure to RDMA, NVMe-oF, or high-performance networking stacks. Exceptional communication and executive reporting skills. Experience using AI tools (e.g., log pattern analysis, LLM-based summarization, automated RCA tooling) to accelerate diagnostics and reduce MTTR. Preferred Qualifications Experience with DDN, VAST, Weka, or similar scale-out file systems. Strong scripting/coding ability in Python, Bash, or Go. Familiarity with observability platforms: Prometheus, Grafana, ELK, OpenTelemetry. Knowledge of replication, consistency models, and data integrity mechanisms. Exposure to Sovereign AI, LLM model training environments, or autonomous system data architectures. This position requires participation in an on-call rotation to provide after-hours support as needed. Success Metrics First 30 Days Technical Ramp-Up Complete Infinia training, labs, and architecture deep dives. Stand up a fully functioning Infinia test system. Shadow at least 5 complex escalations and participate in 2 customer calls. Operational Integration Lead one live incident response and deliver a full RCA within 48 hours. Propose 3+ enhancements to internal tools, AI/automation usage, or documentation. Establish key partnerships with Engineering and Field teams. Strategic Insight Deliver a written 30-day reflection with gaps and high-impact recommendations. Begin identifying patterns where AI or automation can reduce MTTR or improve proactive detection. Success Metrics Beyond 30 Days MTTR on high-severity cases consistently below internal SLAs. Volume and quality of resolved L4 escalations. Strategic tooling or automation contributions adopted across the support org. Executive-ready RCAs that inform product improvement. High-impact engagements with strategic accounts (prevention, performance tuning, etc.) DDN 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.

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 As a Sr. Staff Software Engineer - AI In-Market Engineering , you ll be the final escalation point for the most complex and critical issues affecting enterprise and hyperscale environments. This hands-on role is ideal for a deep technical expert who thrives under pressure and has a passion for solving distributed system challenges at scale. You ll collaborate with Engineering, Product Management, and Field teams to drive root cause resolutions, define architectural best practices, and continuously improve product resiliency. Leveraging AI tools and automation, you ll reduce time-to-resolution, streamline diagnostics, and elevate the support experience for strategic customers. Key Responsibilities Technical Expertise & Escalation Leadership Own critical customer case escalations end-to-end, including deep root cause analysis and mitigation strategies. Act as the highest technical escalation point for Infinia support incidents especially in production-impacting scenarios. Lead war rooms, live incident bridges, and cross-functional response efforts with Engineering, QA, and Field teams. Utilize AI-powered debugging, log analysis, and system pattern recognition tools to accelerate resolution. Product Knowledge & Value Creation Become a 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. Customer Engagement & Business Enablement 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. Required Qualifications 10+ years in enterprise storage, distributed systems, or cloud infrastructure support/engineering. Deep understanding of file systems (POSIX, NFS, S3), storage performance, and Linux kernel internals. Proven debugging skills at system/protocol/app levels (e.g., strace, tcpdump, perf). Hands-on experience with AI/ML data pipelines, container orchestration (Kubernetes), and GPU-based architectures. Exposure to RDMA, NVMe-oF, or high-performance networking stacks. Exceptional communication and executive reporting skills. Experience using AI tools (e.g., log pattern analysis, LLM-based summarization, automated RCA tooling) to accelerate diagnostics and reduce MTTR. Preferred Qualifications Experience with DDN, VAST, Weka, or similar scale-out file systems. Strong scripting/coding ability in Python, Bash, or Go. Familiarity with observability platforms: Prometheus, Grafana, ELK, OpenTelemetry. Knowledge of replication, consistency models, and data integrity mechanisms. Exposure to Sovereign AI, LLM model training environments, or autonomous system data architectures. This position requires participation in an on-call rotation to provide after-hours support as needed. Success Metrics First 30 Days Technical Ramp-Up Complete Infinia training, labs, and architecture deep dives. Stand up a fully functioning Infinia test system. Shadow at least 5 complex escalations and participate in 2 customer calls. Operational Integration Lead one live incident response and deliver a full RCA within 48 hours. Propose 3+ enhancements to internal tools, AI/automation usage, or documentation. Establish key partnerships with Engineering and Field teams. Strategic Insight Deliver a written 30-day reflection with gaps and high-impact recommendations. Begin identifying patterns where AI or automation can reduce MTTR or improve proactive detection. Success Metrics Beyond 30 Days MTTR on high-severity cases consistently below internal SLAs. Volume and quality of resolved L4 escalations. Strategic tooling or automation contributions adopted across the support org. Executive-ready RCAs that inform product improvement. High-impact engagements with strategic accounts (prevention, performance tuning, etc.) DDN 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.

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 Job Description Location: Pune, India About the Role We are looking for a Senior DevOps Engineer to join our high-impact team in Pune, India. You will lead the design and implementation of scalable, secure, and highly available infrastructure across both cloud and on-premise environments. This role demands a deep understanding of Linux systems, infrastructure automation, and performance tuning, especially in high-performance computing (HPC) setups. As a technical leader, you ll collaborate closely with development, QA, and operations teams to drive DevOps best practices, tool adoption, and overall infrastructure reliability. Key Responsibilities Design, build, and maintain Linux-based infrastructure across cloud (primarily AWS) and physical data centers. Implement and manage Infrastructure as Code (IaC) using tools such as CloudFormation, Terraform, Ansible, and Chef. Develop and manage CI/CD pipelines using Jenkins, Git, and Gerrit to support continuous delivery. Automate provisioning, configuration, and software deployments with Bash, Python, Ansible, etc. Set up and manage monitoring/logging systems like Prometheus, Grafana, and ELK stack. Optimize system performance and troubleshoot critical infrastructure issues related to networking, filesystems, and services. Configure and maintain storage and filesystems including ext4, xfs, LVM, NFS, iSCSI, and potentially Lustre. Manage PXE boot infrastructure using Cobbler/Kickstart, and create/maintain custom ISO images. Implement infrastructure security best practices, including IAM, encryption, and firewall policies. Act as a DevOps thought leader, mentor junior engineers, and recommend tooling and process improvements. Maintain clear and concise documentation of systems, processes, and best practices. Collaborate with cross-functional teams to ensure reliable and scalable application delivery. Required Skills & Experience 5+ years of experience in DevOps, SRE, or Infrastructure Engineering. Deep expertise in Linux system administration, especially around storage, networking, and process control. Strong proficiency in scripting (e.g., Bash, Python) and configuration management tools (Chef, Ansible). Proven experience in managing on-premise data center infrastructure, including provisioning and PXE boot tools. Familiar with CI/CD systems, Agile workflows, and Git-based source control (Gerrit/GitHub). Experience with cloud services, preferably AWS, and hybrid cloud models. Knowledge of virtualization (e.g., KVM, Vagrant) and containerization (Docker, Podman, Kubernetes). Excellent communication, collaboration, and documentation skills. Nice to Have Hands-on with Lustre or other distributed/parallel filesystems. Experience in HPC (High-Performance Computing) environments. Familiarity with Kubernetes deployments in hybrid clusters. DDN 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.

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 The Role Were seeking a hands-on Senior Software Engineer specializing in Test Automation to help design, build, and ensure the quality of our data management platform through comprehensive automated testing strategies. About Our Team DDNs Infinia engineers represent the highest tier of technology innovators globally, coming from diverse backgrounds united by excellence. Our team has created, architected, and pioneered numerous advancements in data-enabling technologies, delivering groundbreaking ideas that have shaped and transformed the storage industry. What Youll Bring to DDN Technical Expertise: 5+ years of software development experience with strong proficiency in Python for test automation Hands-on experience with test automation frameworks (pytest, unittest, Robot Framework, or similar) Experience with continuous integration/continuous deployment (CI/CD) pipelines and automated testing integration Knowledge of API testing tools and methodologies (REST, GraphQL) Familiarity with containerized testing environments and Docker Understanding of distributed systems testing challenges and solutions Good to have hands-on experience with monitoring and observability tools like Prometheus and Grafana. Systems Knowledge: Advanced Linux skills including networking, filesystems, and block storage Experience with Kubernetes testing and validation Working knowledge of containers, key/value databases, and timeseries data testing Experience with platform deployment and testing tools (MAAS, Cobbler) is a plus Collaboration & Process: Experience working effectively with geographically distributed teams Demonstrated results in innovative testing approaches and delivery Strong communication skills for test planning and results reporting What Youve Achieved Testing Excellence: Proven track record developing comprehensive test automation suites for complex systems Experience with performance testing, load testing, and scalability validation Strong background in both functional and non-functional testing methodologies Experience testing REST APIs, CLIs, and storage or computation resource management systems Delivery & Leadership: Demonstrated ability to own and deliver test automation features in fast-paced environments Experience mentoring team members on testing best practices and automation strategies Track record of implementing testing frameworks that improve development velocity Experience working on developer tooling and testing infrastructure Domain Knowledge: Understanding of storage systems testing requirements and challenges Experience with test data management and synthetic data generation Knowledge of security testing practices for enterprise storage solutions What Youll Be Doing Test Strategy & Development: Design and implement comprehensive test automation strategies for our Data Services and Software Defined Storage solutions Develop and maintain automated test suites covering functional, integration, performance, and regression testing Create innovative testing approaches that simplify validation of complex storage and data management scenarios Collaboration & Process: Work within the Scrum framework to participate in full product development lifecycle including test planning, automation development, execution, analysis, and maintenance Collaborate closely with development teams to ensure testability is built into new features from the ground up Contribute to code reviews with a focus on testability and quality assurance Infrastructure & Tools: Build and maintain test automation infrastructure and CI/CD integration Develop testing tools and utilities that enhance team productivity Ensure test environments accurately reflect production configurations and use cases Quality Assurance: Monitor and analyze test results to identify trends, risks, and opportunities for improvement Participate in usability and design reviews from a testing perspective Maintain high standards for test coverage and automation reliability 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.

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 We are currently seeking candidate for the position of Technical Support Engineer L1 in Pune. Job Title: The Technical Support Engineer - Level 1 (TSE) will primarily be responsible for telephone based post-sales activity, supporting all installation efforts worldwide. This position will be office based. The TSE will need to be able to partner strongly with Field Technical team to help resolve all technical problems. A TSE must have considerable knowledge of storage, operating system, networking, enterprise servers, tracking tool, email, and internet technology. Must have strong communication skills, including: ability to connect with customers via phone, face to face, and in written correspondences. Duties and Responsibilities: Provide post-implementation, support desk and front/back line support for customers to solve technical issues on storage hardware and software products. Provide daily remote monitoring for storage environment. Write, proof read and submit knowledge-based articles on cases closed . Manage all open tickets and ensure customers get daily updates regarding case status. Manage all open cases to the fastest resolution. Responsible to liaise with customer facing and internally focused teams for problem resolution. Support work is done via e-mail, remote access & phone. Demonstrate a thorough technical and business understanding of clients needs, including how those pertain to DDN products and services. Develop innovative, customized solutions to meet customers business needs. Clearly communicate complex technical topics to the varied knowledge levels of external customers. Develop positive and trustworthy relationships with customers. Manage customer relationship post-sale to ensure the highest caliber customer satisfaction. Ability to multi-task and manage competing priorities, ensuring all objectives are accomplished. Provide reliable information: Builds credibility in a resource role by remaining factual and timely in providing information; maintains his sources for quick access to time-sensitive information and to stay abreast of new developments; proactively educates customers or shares information as part of the service they deserve. Constantly seeks information that will be useful but is not readily available to colleagues; enjoys being sought for advice and instruction; spends the time to build a base of knowledge that ultimately helps others to be more effective. Qualifications: BS in technical discipline such as Electrical Engineering, Computer Science, Mathematics, Sciences, or equivalent industry experience. Does not wait for guidance, pro-actively identifies and delivers value to customers. Must have in-depth technical knowledge and problem analysis skills. Excellent troubleshooting skills. Skills and Experience: Skills: Able to work a 1st, 2nd or 3rd work shift with occasional overtime work/Able to work either a Tuesday thru Saturday shift or a Sunday thru Thursday APAC or EMEA shift with occasional overtime work. Exceptional customer service skills. Experience: Preferred to have 2+ years experience providing technical support to end user customers for storage and or enterprise level infrastructure products. Experience supporting hardware and or SW products. Good understanding of the technical fundamentals of the system infrastructure including open system platforms (UNIX, Linux, Windows) and networking. Technical Expectations: The following are preferred technical requirements: Linux OS, Unix OS, Windows OS, Mac OS, SCSI, Lustre, GPFS, CXFS, QFS, ZFS, NAS, SAN, Pearl, Shell Scripting, Solaris, C Plus+ and Visio. DDN DDN has a very strong orientation towards these 4 characteristics and any successful employee will demonstrate these capabilities: Self-Starter - Takes independent action to identify and solve problems. Seeks out relevant information needed to make decisions. Gets involved with new initiatives. Success/Achievement Orientation - Delivers quality results consistently. Targets, achieves (or exceeds) measurable results. Sets challenging goals, focuses on critical priorities, and is accountable. Problem Solving - Recognizes problems and responds with a systematic assessment that identifies and addresses cause of issue. Practical, realistic, and resourceful. Innovative - Builds and improves key business processes that enhance the effectiveness of DDN. Generates new ideas, challenges the status quo, and solves problems creatively.

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 We are currently seeking a Senior Software Engineer in India. As a Senior Software Engineer, the primary focus will be to support Continuation Engineering s development activities. The role mainly involves but not limited to following: Development in C, Python on Linux platform for storage products. Code analysis , debugging & fixing to help Level 3 engineering support in resolving customer issues. Hands-on experience in protocols like S3, NFS and SMB. Help the team with maintenance releases. Understand customer requirements and work towards enhancing the product quality by improving reliability, serviceability & usability. Analyze hardware/equipment issues and troubleshoot. Work with multi-location global set of team members. Requirements/Qualifications More than 5 years of hands on experience in software development and product support. Software development with strong C programming. Deep & a strong understanding of operating system principles & architecture including the demands of real time systems, distributed systems. Well versed with Linux internals, kernel level coding & debugging, conversant with GDB and Linux device drivers. Experience with big data technologies (e.g., Cassandra) and containerization tools (e.g., Docker, Podman) is a plus. Excellent analytical & debugging skills. Knowledge of assembly language , C++, Perl & Java is a plus. Understand the complexities & challenges in the high speed parallel data transmission including but not limited to SAS, Fibre Channel & InfiniBand topologies. Understand, interpret industry standards & protocols, specifications from ISO/IEC, RFCs and be able to translate into software specifications Knowledge of storage system file systems and big data challenges is required. Knowledge of cloud storage, cloud computing, data centre operations is desirable. Exceptional verbal & written English communication skill. Experience working with cross-functional and remote teams. Demonstrated experience in handling technical issues with customers installation Experience and flexibility in working across countries and different time zones. A bachelors degree in Electronics Engineering or Computer Science or equivalent. A dynamic person with Master s degree in the relevant field with excellent academic record and right attitude, with no experience will also be considered. 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. Here, youll have the opportunity to work across various areas of the company, thanks to our flat organizational structure that encourages hands-on involvement and direct contributions to our mission. Leadership is earned by those who take initiative and consistently deliver outstanding results, both in their work ethic and deliverables, making strong prioritization skills essential. Additionally, we value strong communication skills in all our engineers and researchers, as they are crucial for the success of our teams and the company as a whole. 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.