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RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: SCI TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Space Systems Sector is seeking a Systems Engineer - Level 6 to join our team in Redondo Beach, CA. For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on. Please be aware that this position is contingent upon capturing program award(s) and obtaining and maintaining associated business and/or customer funding. Furthermore, this position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance at the level of clearance and program access required for the position in the future. In this role, the Systems Engineer - Level 6 will work in tandem with a scrum team of other software and systems engineers responsible for defining the product vision, managing the product backlog, and ensuring that all features align with business objectives. You will work closely with cross-functional teams to prioritize tasks and facilitate the timely delivery of high-quality mission focused software systems solutions. Additionally, you will incorporate user feedback to continuously refine the product roadmap and drive innovation in response to evolving customer needs. Development is done within the Agile paradigm using the Atlassian tool suite, so you will need to be able to work within an Agile environment. You will have experience in systems engineering with space domain knowledge, and you will define the requirements, interfaces, processes, use cases, protocols, schemas, sequence of interactions driving the software design for Ground Segment Functions for a system. You will integrate and test software segments, automate tests, verify requirements, and deliver products to operations. You will be supporting a program through full life-cycle milestones in Agile sprints to achieve the mission, you will have strong verbal and written communication skills, and you are expected to operate independently with little oversight in a dynamic environment. You will have experience with MBSE (Model Based Systems Engineering), CAMEO, SysML diagramming, requirements & verification, domain and mission knowledge, and work with or as software system engineering. You are highly self-motivated, reporting information to leads and the customer. You are expected to handle diverse assignments with efficiency, find unique solutions, and work in a very collaborative and fast-paced environment that continues to grow. Job responsibilities include, but are not limited to, the following: -Drive development and execution of features for the satellite ground systems domain with familiarity in reading CAMEO/MBSE models -Participate in working groups, research customer needs and interfaces, and then translate them into digital artifacts to enable software implementation -Support and/or lead development of verification planning, test requirements, and other key products -Work scope covers a range of Systems Engineering disciplines and products, including requirements & verification, interfaces, architecture, and design, integration, test and sell-off -Engage in sprint planning, stand ups, retrospectives, and reviews while maintaining alignment with product vision and mission goals -Provide subject matter expertise in Space-Vehicle Command and Control System areas and collaborate with other teams and unit level engineers supporting subsystems -Conduct demos and briefings for customers and senior leadership -Ensure seamless integration of capabilities, epics, and features with ground satellite software systems solutions -Utilize Atlassian tool suite, including Jira dashboards and Confluence knowledge bases -Support and/or lead preparation and execution of milestones and Agile product increments -Engage with multiple working groups and control boards -Additional specifics of responsibilities can be tailored based on the skillset and experience of the selected candidate Basic Qualifications for Systems Engineer - Level 6: -Bachelor's degree in STEM (Science, Technology, Engineering, Math) discipline with 14+ years of engineering experience OR -Master's degree in STEM (Science, Technology, Engineering, Math) discipline with 12+ years of engineering experience OR -PhD in STEM (Science, Technology, Engineering, Math) discipline with 10+ years of engineering experience -Candidate must have an active SCI at time of application and prior to start date. Continued employment thereafter will be subject to maintenance at the level of clearance and program access required for the position in the future. -2+ years of experience with developing and evaluating behavioral and structural architecture diagrams using MBSE (Model Based Systems Engineering) methodology and tooling or equivalent -2+ years of experience using No Magic Cameo or equivalent -Experience with space-vehicle, command-and-control, mission management, mission data processing, or software subsystems -Demonstrated written and oral communications skills through written requirements, test, and evaluation criteria -2+ years of experience with Systems Engineering processes and artifacts development in support of SW development, including use cases, interface control documents, class diagrams, sequence diagrams, database design, schema development, and SW protocols such as REST, & RESP or equivalent -Experience working on Agile programs and methodology Preferred Qualifications for Systems Engineer - Level 6: -3+ years of experience with command-and-control, network management, flight dynamics, and/or orbit determination for space-vehicle related software systems -Experience working with Space Vehicle Subsystems including thermal, power, attitude control system, propulsion, and/or communications -Familiarity with cloud-based architectures such as Kubernetes, containers, and orchestrators -Experience working mission focused threads -Experience with the software development lifecycle -Experience with JIRA/Confluence -Experience working with a geographically distributed team -Experience with Automated Test and Integration frameworks including Playwright Please be aware that this position is contingent upon capturing program award(s) and obtaining and maintaining associated business and/or customer funding. Furthermore, this position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance at the level of clearance and program access required for the position in the future. Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site: Northrop Grumman Total Rewards As a full-time employee of Northrop Grumman, you are eligible for: -Medical, Dental & Vision coverage -401k -Educational Assistance -Life Insurance -Employee Assistance Programs & Work/Life Solutions -Paid Time Off -Health & Wellness Resources -Employee Discounts -Flexible Schedules: for example, the ability to work a 9/80 work schedule, which allows an employee to work a nine-hour day Monday through Thursday and take every other Friday off of work. Primary Level Salary Range: $192,800.00 - $289,200.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan . click apply for full job details

Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are hiring experienced Systems Software Engineers across multiple NetApp engineering organizations. This pipeline posting is designed to attract strong C/C++ systems-level engineers who can contribute to core storage and data management technologies across ONTAP and other NetApp products. Candidates will be considered for roles on several teams, including ONTAP, WAFL, Replication/HA, Protocols (NFS/SMB/SAN/NVMe), Distributed Systems, Cloud Platforms, and Performance Engineering. Ensure you read the information regarding this opportunity thoroughly before making an application. Engineers in these roles design, build, and optimize foundational components of NetApp's storage stack. You will work on real-world problems involving filesystems, storage internals, distributed systems, performance, scalability, reliability, and data integrity. Work may include developing new features, enhancing subsystems, analyzing complex code paths, improving throughput and latency, debugging customer issues, or driving proofs of concept. You will collaborate with senior engineers, product teams, hardware teams, and cloud engineering groups to deliver high-quality software used globally by enterprise customers. This posting can support multiple levels (3, 4, and 5). Team and level placement will be determined during the interview process based on experience, technical depth, and demonstrated capabilities. Job Requirements Core Responsibilities (All Levels) Design, implement, and enhance features within ONTAP and related NetApp storage systems Write high-quality C/C++ code that is efficient, reliable, and maintainable Analyze and improve existing code paths for performance, scalability, and correctness Debug complex issues using system-level tools, logs, tracing, and profiling Collaborate across engineering teams, including filesystem, protocol, cloud, hardware, and QA Participate in design and code reviews, contributing to engineering best practices Investigate performance bottlenecks and implement optimizations Support prototyping, research, and feasibility analysis for new ideas and features Communicate design decisions, technical findings, and progress clearly with peers Use AI-assisted tools to accelerate design, development, testing, and troubleshooting Level-Specific Requirements Software Engineer 3 (5-8 years) Owns well-defined components or features Implements end-to-end functionality with guidance Performs profiling, debugging, and testing across subsystems Contributes to design discussions and supports cross-team integration Ramps quickly on ONTAP, WAFL, protocols, or storage technologies Software Engineer 4 (9-15 years) Designs and owns complex subsystems or multi-sprint epics Drives cross-team delivery with minimal supervision Mentors junior and mid-level engineers Leads deep-dive debugging and performance analysis Improves reliability, observability, and architecture patterns Software Engineer 5 (12-16 years) Leads major technical initiatives across teams or product line Defines long-term architectural direction and technical strategy Resolves highly complex system-wide issues in performance, data integrity, HA, scale, or protocols Mentors senior engineers and influences engineering culture Demonstrates deep domain expertise in filesystems, operating systems, HA/replication, or distributed systems Qualifications Required Technical Qualifications Strong proficiency in C/C++ for systems-level development Understanding of data structures, algorithms, memory management, and concurrency Experience with Unix/Linux systems programming Experience with one or more: filesystems, storage systems, networking/protocol stacks, distributed systems, high-availability architectures Strong debugging and performance analysis skills (gdb, perf, tracing, profiling tools) Ability to write maintainable, well-documented code Effective communication and collaboration skills Qualifications that make you stand out: Experience with ONTAP, WAFL, or similar storage operating systems Experience with NFS, SMB, SAN (iSCSI/FC), NVMe/TCP, NVMe-oF Experience with replication, clustering, HA, or consistency protocols Familiarity with cloud platforms (AWS, Azure, GCP, OCI) Exposure to kernel subsystems, VFS, IO schedulers, caching, or media management Experience with distributed systems design and large-scale performance tuning Knowledge of CI/CD, test automation, and modern development practices Education Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field Equivalent practical experience considered Compensation: The target salary range for this position is $120,000 - $280,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. xibtplm We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.

Own Every Moment at NetApp While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required. At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary NetApp is hiring a?principal-level product leader?to own the?AI product strategy?for?Azure NetApp Files (ANF)-a?first-party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between NetApp and Microsoft. In the spirit of NetApp's?"business builder"?cloud roles, you will translate a fast-moving AI landscape into?differentiated platform capabilities,?joint roadmap bets?with Microsoft, and?enterprise outcomes?(performance, data locality, governance, and time-to-value for AI pipelines). You will sit at the intersection of?enterprise storage,?Azure AI infrastructure, and?industry AI workloads, ensuring ANF is positioned and built as a?strategic data foundation?for training, inference, RAG, analytics, simulation, and agentic workflows-without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models. Role Overview We need a?highly strategic and deeply technical?principal PM who can: Define?multi-year AI vision and roadmap?for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments. Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high-throughput checkpointing) into?concrete product requirements?and?joint go-to-market?narratives with Microsoft. Balance?hyperscaler co-development?constraints with?NetApp differentiation?(enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency where relevant). Responsibilities AI strategy & roadmap Own end-to-end?AI strategy?for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across?performance,?scale,?data services,?protocol and API surfaces, and?operational excellence?for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with?Microsoft?teams across?Azure AI / Foundry,?Azure Machine Learning,?AKS / container platforms,?GPU infrastructure,?data/analytics?(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with?Azure-wide AI data?guidance and reference architectures, and feed?real customer workload evidence?back into joint planning. Cross-functional leadership Lead across?engineering, product marketing, sales, customer success, and professional services?to ship capabilities and repeatable?reference architectures / proof points. Engage?strategic customers?and?design partners?to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into?differentiated bets. Represent ANF as a?credible technical executive?in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example:?semiconductor/EDA,?manufacturing,?healthcare imaging,?financial services,?energy,?media & entertainment, and?HPC/simulation-including compliance and data residency realities. AI strategy & roadmap Own end-to-end?AI strategy?for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across?performance,?scale,?data services,?protocol and API surfaces, and?operational excellence?for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with?Microsoft?teams across?Azure AI / Foundry,?Azure Machine Learning,?AKS / container platforms,?GPU infrastructure,?data/analytics?(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with?Azure-wide AI data?guidance and reference architectures, and feed?real customer workload evidence?back into joint planning. Cross-functional leadership Lead across?engineering, product marketing, sales, customer success, and professional services?to ship capabilities and repeatable?reference architectures / proof points. Engage?strategic customers?and?design partners?to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into?differentiated bets. Represent ANF as a?credible technical executive?in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example:?semiconductor/EDA,?manufacturing,?healthcare imaging,?financial services,?energy,?media & entertainment, and?HPC/simulation-including compliance and data residency realities. Job Requirements Required 10+ years?product management in?cloud infrastructure,?enterprise storage,?AI/ML infrastructure, or?data platforms?(principal scope: portfolio strategy, multi-team alignment, executive storytelling). Strong command of?enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large-scale filesystem behavior under parallel workloads. Hands-on familiarity with?modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference IO profiles, orchestration, and enterprise AI data pipelines. Demonstrated success influencing?engineering and partner roadmaps?without direct authority; experience with?hyperscaler first-party?or deeply partnered services is a strong plus. Excellent written and verbal communication to?customers, executives, and engineers. Preferred Direct experience with?Microsoft Azure?AI services,?GPU?estates on Azure, and/or?Azure Kubernetes Service?+ ML platform integrations. Familiarity with?Databricks,?Iceberg/Delta-class open table patterns,?Kubernetes?storage patterns,?NVIDIA AI?software stacks, and?enterprise MLOps?release cadences. Background in?regulated industries?and enterprise security/governance requirements for AI data. Education MBA?or advanced degree in?CS/Engineering?(helpful, not a substitute for demonstrated technical depth). Compensation: The target salary range for this position is $228,000 - $325,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: . click apply for full job details

Own Every Moment at NetApp You can get further details about the nature of this opening, and what is expected from applicants, by reading the below. At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary We are seeking a?Principal Product Manager?to lead the definition and evolution of NetApp's?AI Data Infrastructure (AIDI)?portfolio. This role owns a?broad, end-to-end AI infrastructure strategy, spanning?ONTAP-based data services delivered across multiple hardware platforms, integrated systems, reference architectures, and full-stack AI solutions. This PM operates at the center of NetApp's most strategic AI initiatives-working closely with?architecture, engineering, and strategic technology partners-to define scalable, repeatable, and monetizable AI data platforms. The role focuses on?enabling ONTAP and complementary data services across diverse system architectures, including?high-performance file and block platforms, scale-out systems, and object storage, as well as?validated reference architectures. The role supports both?Neocloud providers?and?Strategic Enterprise customers, shaping solutions that enable?training, fine-tuning, inference, and emerging AI workloads across?hybrid and on-prem?environments. Job Responsibilities AI Data Infrastructure Strategy & Vision Define and own the?holistic AIDI product strategy, centered on?ONTAP-based data services delivered across multiple hardware platforms, integrated systems, reference designs, and full solution architectures. Develop a?phased AIDI roadmap, clearly articulating MVP capabilities, platform extensions, and long-term architectural evolution. Identify and prioritize?AI workload use cases?(training, fine-tuning, inference, multi-tenant AI platforms), and map them to?storage platforms, data services, and deployment models. Reference Architectures & Partner Ecosystem Lead?co-development and integration efforts with strategic technology partners, spanning compute, accelerator, networking, and platform ecosystems. Define, productize, and maintain?validated reference architectures and certified AI designs?(e.g., clustered AI platforms, modular AI stacks), ensuring they are repeatable, supportable, and field-ready. Act as the product interface between?NetApp storage platforms (ONTAP-based systems, E-Series, StorageGRID)?and external partner ecosystems. Platform & Ecosystem Definition Drive?platform and system architecture decisions, including storage platforms, interconnects, and system-level tradeoffs, in close partnership with architecture and engineering. Define?end-to-end AI infrastructure solutions, combining multiple storage platforms, data services, lifecycle management, and operational integration-not just standalone components. Evaluate and define?fulfillment and delivery models, including: Meet-in-the-channel offerings OEM- and ODM-based solutions Integrated and validated system offerings Customer, Market & Business Requirements Gather and synthesize requirements from?Neocloud providers?and?large enterprise customers, addressing performance, scale, multi-tenancy, and operational simplicity. Translate customer needs into?clear product requirements, differentiated value propositions, and business cases. Partner with GTM, sales, and field teams to ensure offerings are?consumable, supportable, and aligned with real-world deployment models. Monetization & Business Models Define?monetization strategies?for AIDI offerings, including software licensing, subscriptions, consumption-based models, and bundled platform offerings. Partner with finance and GTM teams to assess?revenue impact, pricing, margin, and cost structure?across solution types. Cross-Functional Leadership Serve as the?single point of accountability?across architecture, engineering, sales, marketing, alliances, and operations for AIDI. Communicate strategy, architectural tradeoffs, and roadmap clearly to?executive leadership and field organizations. Influence?long-term platform decisions?that impact multiple product lines and business units. Job Requirements 15+ years of product management experience with?enterprise infrastructure, storage platforms, or cloud-adjacent systems. Strong understanding of?on-prem and/or cloud infrastructure?and modern data center architectures. Proven experience partnering with?architecture and engineering teams?to translate technical concepts into market-ready products. Experience defining?product roadmaps, phased releases, and go-to-market strategies. Preferred Experience working with?hyperscalers, Neocloud providers, or large enterprise customers. Familiarity with?OEM/ODM ecosystems, multi-vendor platforms, and channel-based delivery models. Background in defining?monetization and licensing models?for software, platforms, or integrated solutions. Why This Role Matters This role is critical to shaping the future of our?AI Data Infrastructure?business. You'll influence core architectural decisions, unlock new revenue opportunities, and position NetApp as a leader in?AI-ready data platforms and solutions, while working closely with senior leaders across the company. EducationIC - Typically requires a minimum of 15 years of related experience.Mgr & Exec - Typically requires a minimum of 10 years of related experience. Compensation: The target salary range for this position is 227,800 - 338,800 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. xibtplm We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.

Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary NetApp is hiring a principal-level product leader to own the AI product strategy for Azure NetApp Files (ANF)-a first-party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between NetApp and Microsoft. In the spirit of NetApp's "business builder" cloud roles, you will translate a fast-moving AI landscape into differentiated platform capabilities, joint roadmap bets with Microsoft, and enterprise outcomes (performance, data locality, governance, and time-to-value for AI pipelines). You will sit at the intersection of enterprise storage, Azure AI infrastructure, and industry AI workloads, ensuring ANF is positioned and built as a strategic data foundation for training, inference, RAG, analytics, simulation, and agentic workflows-without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models. Role Overview We need a highly strategic and deeply technical principal PM who can: Define multi-year AI vision and roadmap for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments. Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high-throughput checkpointing) into concrete product requirements and joint go-to-market narratives with Microsoft. Balance hyperscaler co-development constraints with NetApp differentiation (enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency where relevant). Responsibilities AI strategy & roadmap Own end-to-end AI strategy for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across performance, scale, data services, protocol and API surfaces, and operational excellence for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with Microsoft teams across Azure AI / Foundry, Azure Machine Learning, AKS / container platforms, GPU infrastructure, data/analytics (e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with Azure-wide AI data guidance and reference architectures, and feed real customer workload evidence back into joint planning. Cross-functional leadership Lead across engineering, product marketing, sales, customer success, and professional services to ship capabilities and repeatable reference architectures / proof points. Engage strategic customers and design partners to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into differentiated bets. Represent ANF as a credible technical executive in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example: semiconductor/EDA, manufacturing, healthcare imaging, financial services, energy, media & entertainment, and HPC/simulation-including compliance and data residency realities. AI strategy & roadmap Own end-to-end AI strategy for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across performance, scale, data services, protocol and API surfaces, and operational excellence for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with Microsoft teams across Azure AI / Foundry, Azure Machine Learning, AKS / container platforms, GPU infrastructure, data/analytics (e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with Azure-wide AI data guidance and reference architectures, and feed real customer workload evidence back into joint planning. Cross-functional leadership Lead across engineering, product marketing, sales, customer success, and professional services to ship capabilities and repeatable reference architectures / proof points. Engage strategic customers and design partners to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into differentiated bets. Represent ANF as a credible technical executive in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example: semiconductor/EDA, manufacturing, healthcare imaging, financial services, energy, media & entertainment, and HPC/simulation-including compliance and data residency realities. Job Requirements Required 10+ years product management in cloud infrastructure, enterprise storage, AI/ML infrastructure, or data platforms (principal scope: portfolio strategy, multi-team alignment, executive storytelling). Strong command of enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large-scale filesystem behavior under parallel workloads. Hands-on familiarity with modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference IO profiles, orchestration, and enterprise AI data pipelines. Demonstrated success influencing engineering and partner roadmaps without direct authority; experience with hyperscaler first-party or deeply partnered services is a strong plus. Excellent written and verbal communication to customers, executives, and engineers. Preferred Direct experience with Microsoft Azure AI services, GPU estates on Azure, and/or Azure Kubernetes Service + ML platform integrations. Familiarity with Databricks, Iceberg/Delta-class open table patterns, Kubernetes storage patterns, NVIDIA AI software stacks, and enterprise MLOps release cadences. Background in regulated industries and enterprise security/governance requirements for AI data. Education MBA or advanced degree in CS/Engineering (helpful, not a substitute for demonstrated technical depth). Compensation: The target salary range for this position is $228,000 - $325,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal . click apply for full job details

Own Every Moment at NetApp All potential candidates should read through the following details of this job with care before making an application. At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary NetApp is developing a new portfolio of data-centric storage platforms and services to help the world's leading organizations harness their data in new and interesting ways. NetApp is bringing its industry leading, enterprise class data storage technologies into the world's biggest public clouds and the simplicity & flexibility of cloud into customer data centers. As a Software Engineer, you will work as part of an exceptionally talented engineering team responsible for architecture, design and development of ONTAP RAID and Storage software. The overall focus of the team will be on delivering innovative technologies to address competitive market and customer requirements with enterprise-class product quality and time-to-market. The team will also be responsible for maintenance and enhancements to existing technologies and products. Job Requirements Apply modern software engineering skills and best practices to contribute to both new product development and enhancements of existing technologies. Design and develop storage system software, including kernel-level programming and debugging. Write unit tests in C/C++ and develop test automation scripts using Python. Work as part of an exceptionally talented global team, engaging in technical discussions and acting as a resource for peers. Contribute to design, coding, debugging, performance analysis, and troubleshooting across development, test, and production environments. Be proactive in learning and applying the latest testing technologies, tools, and frameworks, while also driving automation initiatives. Develop, modify, and execute comprehensive software test plans and test cases-both manually and through automation-to ensure high product quality. Investigate and resolve issues, collaborating closely with other team members and across teams to address challenges in test and production environments. Work collaboratively with engineers distributed across the globe to ensure integrated and consistent testing and development efforts. Contribute to technical design discussions and share insights on systems engineering concepts, including computer architecture, operating systems, file systems, networking, algorithms, and data structures. Opportunity to work with storage protocols such as NVMe, SAS, and Fibre Channel. Qualifications Strong programming skills in C/C++ and Python with hands-on experience in Linux/UNIX environments. Experience in System Software programming and Kernel level debugging. Experience in writing unit tests code and develop test automation scripts. Familiarity with modern automation tools and frameworks and a passion for implementing the latest testing methodologies. Solid understanding of core systems engineering concepts. Excellent problem-solving skills with meticulous attention to detail. Ability to work effectively in cross-functional, geo-distributed teams. Excellent oral and written communication skills. Experience with storage and cloud technologies is a plus. Education A Bachelor of Science Degree in Electrical Engineering or Computer Science, or equivalent experience is required. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. xibtplm We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.

Own Every Moment at NetApp While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required. At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary NetApp is hiring a?principal-level product leader?to own the?AI product strategy?for?Azure NetApp Files (ANF)-a?first-party, fully managed enterprise file service on Microsoft Azure, delivered in deep partnership between NetApp and Microsoft. In the spirit of NetApp's?"business builder"?cloud roles, you will translate a fast-moving AI landscape into?differentiated platform capabilities,?joint roadmap bets?with Microsoft, and?enterprise outcomes?(performance, data locality, governance, and time-to-value for AI pipelines). You will sit at the intersection of?enterprise storage,?Azure AI infrastructure, and?industry AI workloads, ensuring ANF is positioned and built as a?strategic data foundation?for training, inference, RAG, analytics, simulation, and agentic workflows-without forcing customers to abandon enterprise file semantics, protection, or hybrid operating models. Role Overview We need a?highly strategic and deeply technical?principal PM who can: Define?multi-year AI vision and roadmap?for ANF in the context of Azure AI services, GPU estates, data platforms, and regulated enterprise environments. Turn emerging patterns (LLMs, RAG, agents, orchestration, multimodal data, vector retrieval, high-throughput checkpointing) into?concrete product requirements?and?joint go-to-market?narratives with Microsoft. Balance?hyperscaler co-development?constraints with?NetApp differentiation?(enterprise data services, multiprotocol access, lifecycle management, resiliency, and cross-cloud consistency where relevant). Responsibilities AI strategy & roadmap Own end-to-end?AI strategy?for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across?performance,?scale,?data services,?protocol and API surfaces, and?operational excellence?for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with?Microsoft?teams across?Azure AI / Foundry,?Azure Machine Learning,?AKS / container platforms,?GPU infrastructure,?data/analytics?(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with?Azure-wide AI data?guidance and reference architectures, and feed?real customer workload evidence?back into joint planning. Cross-functional leadership Lead across?engineering, product marketing, sales, customer success, and professional services?to ship capabilities and repeatable?reference architectures / proof points. Engage?strategic customers?and?design partners?to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into?differentiated bets. Represent ANF as a?credible technical executive?in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example:?semiconductor/EDA,?manufacturing,?healthcare imaging,?financial services,?energy,?media & entertainment, and?HPC/simulation-including compliance and data residency realities. AI strategy & roadmap Own end-to-end?AI strategy?for ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. Prioritize investments across?performance,?scale,?data services,?protocol and API surfaces, and?operational excellence?for AI pipelines. Workload-led product definition Drive requirements for AI-centric scenarios, including: Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) RAG and enterprise search (datasets, versioning, clones, refresh patterns) Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) Large multimodal and enterprise datasets (governance, access control, lifecycle) Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) Hyperscaler & ecosystem partnership Partner with?Microsoft?teams across?Azure AI / Foundry,?Azure Machine Learning,?AKS / container platforms,?GPU infrastructure,?data/analytics?(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. Align ANF's AI story with?Azure-wide AI data?guidance and reference architectures, and feed?real customer workload evidence?back into joint planning. Cross-functional leadership Lead across?engineering, product marketing, sales, customer success, and professional services?to ship capabilities and repeatable?reference architectures / proof points. Engage?strategic customers?and?design partners?to validate pain, quantify value, and de-risk roadmap bets. Market intelligence & evangelism Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate into?differentiated bets. Represent ANF as a?credible technical executive?in briefings, advisory councils, and industry forums. Industry segmentation Tailor AI storage strategy for segments where file semantics and performance matter, for example:?semiconductor/EDA,?manufacturing,?healthcare imaging,?financial services,?energy,?media & entertainment, and?HPC/simulation-including compliance and data residency realities. Job Requirements Required 10+ years?product management in?cloud infrastructure,?enterprise storage,?AI/ML infrastructure, or?data platforms?(principal scope: portfolio strategy, multi-team alignment, executive storytelling). Strong command of?enterprise storage: NFS/SMB semantics, snapshots/clones, replication, backup integration patterns, capacity/performance tiers, and large-scale filesystem behavior under parallel workloads. Hands-on familiarity with?modern AI stacks: LLMs, RAG architectures, embeddings/vector retrieval patterns, training vs. inference IO profiles, orchestration, and enterprise AI data pipelines. Demonstrated success influencing?engineering and partner roadmaps?without direct authority; experience with?hyperscaler first-party?or deeply partnered services is a strong plus. Excellent written and verbal communication to?customers, executives, and engineers. Preferred Direct experience with?Microsoft Azure?AI services,?GPU?estates on Azure, and/or?Azure Kubernetes Service?+ ML platform integrations. Familiarity with?Databricks,?Iceberg/Delta-class open table patterns,?Kubernetes?storage patterns,?NVIDIA AI?software stacks, and?enterprise MLOps?release cadences. Background in?regulated industries?and enterprise security/governance requirements for AI data. Education MBA?or advanced degree in?CS/Engineering?(helpful, not a substitute for demonstrated technical depth). Compensation: The target salary range for this position is $228,000 - $325,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: . click apply for full job details

Own Every Moment at NetApp The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have. At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Job Summary NetApp is uniquely placed in the industry and in a unique position partnering with major hyper scalers (AWS, GCP and Azure) which adds a new challenge for Service Oriented Architectures (SOA) driving innovation in the space of Cloud Fundamentals. Cloud Storage team is embarking on a new charter to address these challenges for Cloud native applications, of simplifying customer operations and being a key differentiator. Bring in your experience and expertise for the new frontier, to build best in class SaaS applications, woven with architecture and design that are deployed across multiple hyper scalers. This is an opportunity to challenge yourself with cutting-edge technologies and thrive. Key Responsibilities Own and drive the architecture and technical direction for complex cloud-native services, while remaining hands-on by making meaningful code contributions (design, implementation, reviews, and quality). Ensure solutions meet performance, scale, reliability, and enterprise-readiness requirements through validation and qualification. You ideate and work to solve complex customer problems and thereby contributing to intellectual property. Coach and mentor engineers across the team (including new hires and early-in-career talent) through design guidance, code reviews, and pairing, raising the bar on engineering excellence and execution. As part of a larger team, you are required to work closely with team members and leadership in ensuring the overall team objectives are met as ONE team. Your partnership with other team members will be crucial to success of all customer deliverables. Job Requirements 12+ years of industry experience in software development. 5+ years of experience in data management/migration systems & storage platforms for managing and storing data across various workloads and environments. 3+ years of expert level hands-on experience in fault tolerant, highly scalable cloud architectures including service-oriented architectures, cloud-native (FAAS, PAAS), and cloud storage services with at least one hyper scaler (Azure, AWS, GCP) Proficiency with Filesystems, or file/cloud storage protocols?. Experience in NFS/SMB/iSCSI protocols. Proficiency in Programming languages like C, C++, Golang, Node.js, Python Experience with docker, Kubernetes. Experience with GitHub, Jenkins, Ansible, CI build systems and Automated Testing. Proactive and self-driven, with strong technical judgment and influential skills. Expertise to provide both architectural guidance and detailed technical direction. Excellent communication and writing skills, with the ability to effectively engage with customers, stakeholders, and the engineering community. Preferred Experience Excellent understanding of concepts related to storage architecture, storage management, data management, standard networking. Excellent written and verbal communication skills. Experience in Agile Software Development practices. Work effectively with the stake holders, excellent in technical communication, and a proven track record in a fast-paced environment. Ability to work on, troubleshoot, and solve complex customer problems. Education Bachelor's degree in technical area of study: engineering disciplines Master's degree in technical field such as engineering, software development, preferred with less additional experience stated above At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. xibtplm We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.