62 jobs found

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. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Are you an Apache Kafka committer who wants to operate at the highest level of technical and community influence? This role connects deep upstream work, including binding committer authority, KIP-level design, and protocol-aware engineering, directly to production-scale outcomes in enterprise Kafka deployments. NetApp Instaclustr runs one of the industry's largest managed open source data platform portfolios, including Apache Kafka services for enterprise customers across financial services, retail, and technology sectors. Our open source engineering team contributes to projects that matter to production operators at scale, and this role strengthens our ability to influence Apache Kafka upstream in areas that affect reliability, performance, operability, and customer delivery. You will work at both levels - upstream influence and customer impact - with meaningful autonomy, strong peer collaboration, and direct access to the product and field relationships that turn technical work into commercial outcomes. This is a globally distributed team with up to 10% travel. The role is based in one of our office locations - US REMOTE Note that we have global opportunities as well in Cork,Ireland & Netherlands (Schiphol). Postings also available in those markets/locations. Overview As a Senior Open Source Software Engineer, your responsibilities will include: Lead end-to-end upstream initiatives in Apache Kafka, from KIP authoring and design consensus through implementation, review, and release, in domains such as broker internals, storage and log management, replication, KRaft metadata quorum, consumer group coordination, Kafka Streams, Kafka Connect, observability, and release quality. Provide binding committer reviews on upstream patches and community contributions, applying the technical rigor and authority that moves high-quality work through the Apache Kafka review process. Contribute to Apache Kafka release management as part of the committer community, including release planning, blocker triage, test stabilization, release candidate validation, documentation readiness, and post-release follow-through. Translate enterprise customer and operator needs into credible upstream proposals, KIP-level designs, and sustained technical engagement that only a committer can supply; advise product and field teams on complex Kafka trade-offs. Shape community direction through evidence-based participation relevant Kafka community channels; influence project decisions on architecture, compatibility, protocol evolution, release policy, contribution standards, and long-term roadmap. Mentor engineers toward committer standing and raise overall contribution quality through rigorous review practices, test discipline, and clear engineering guidance. Improve upstream infrastructure, including CI reliability, test coverage, contributor tooling, benchmarking, release automation, and compatibility validation, to reduce project-wide maintenance burden. Job Requirements A minimum of 12 years of applicable professional software engineering experience is required. Current Apache Kafka committer status with a sustained and publicly verifiable upstream track record across patches, reviews, KIPs, and community standing in Kafka core or a closely related area such as Streams, Connect, clients, or release engineering. Expert Java engineering capability in performance-sensitive, concurrent, and production-grade distributed systems, with the ability to write, review, and reason about complex Kafka internals at depth. Deep mastery of Apache Kafka internals in at least one major domain: broker storage and log replication, KRaft and metadata management, consumer group coordination and rebalancing, protocol and client compatibility, Kafka Streams, Kafka Connect, observability, performance, or release management and CI. Demonstrated ability to lead complex technical work through the Apache open source governance model: KIP authoring or co-sponsorship, design consensus, mailing-list engagement, and Jira-driven delivery from proposal through merge. Strong written communication for asynchronous, global, public technical collaboration - mailing lists, design documents, code reviews, and Jira threads. Proven senior-level technical judgment that resolves most blockers independently, determines approach on novel or ambiguous assignments, surfaces systemic risks proactively, and produces work that is consistent with project and team objectives. Preferred qualifications PMC membership in Apache Kafka or a related Apache project. Track record of work in current Kafka feature and maintenance areas such as KRaft maturity, controller and metadata reliability, consumer rebalance protocol improvements, exactly-once semantics, tiered storage, Kafka Connect security and operability, Streams APIs, client metrics, or release stabilization. Experience connecting upstream technical leadership to enterprise customer and operator outcomes - translating production pain points into accepted community improvements. History of mentoring contributors toward reviewer or committer standing in an open governance project. Familiarity with the Kafka ecosystem: Kafka Streams, Kafka Connect, MirrorMaker 2, Kafka clients, schema and serialization patterns, Kubernetes-based Kafka operations, or adjacent open source projects such as Strimzi. Education Bachelor's degree in engineering or technical related field of study Or additional equivalent experience. Team Information Leadership and team culture The hiring manager for this role is an Engineering Manager for the Open Source Engineering team. You will join a globally distributed group that values committer-grade technical judgment, clear ownership, transparent community engagement, and practical impact on real customer outcomes. The team culture is high-trust and high-accountability. We support engineers who can go deep technically, mentor others generously, collaborate across product and field functions, and improve both code and the contributor ecosystem around it. You will have significant autonomy paired with close collaboration and genuine visibility into the strategic bets your work enables. Compensation: The target salary range for this position is $220,000-265,000. 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 (PTO), 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, 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. 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. Submitting an Application To ensure a streamlined and fair hiring process for all candidates . 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. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Are you an Apache Kafka committer who wants to operate at the highest level of technical and community influence? This role connects deep upstream work, including binding committer authority, KIP-level design, and protocol-aware engineering, directly to production-scale outcomes in enterprise Kafka deployments. NetApp Instaclustr runs one of the industry's largest managed open source data platform portfolios, including Apache Kafka services for enterprise customers across financial services, retail, and technology sectors. Our open source engineering team contributes to projects that matter to production operators at scale, and this role strengthens our ability to influence Apache Kafka upstream in areas that affect reliability, performance, operability, and customer delivery. You will work at both levels - upstream influence and customer impact - with meaningful autonomy, strong peer collaboration, and direct access to the product and field relationships that turn technical work into commercial outcomes. This is a globally distributed team with up to 10% travel. The role is based in one of our office locations - US REMOTE Note that we have global opportunities as well in Cork,Ireland & Netherlands (Schiphol). Postings also available in those markets/locations. Overview As a Senior Open Source Software Engineer, your responsibilities will include: Lead end-to-end upstream initiatives in Apache Kafka, from KIP authoring and design consensus through implementation, review, and release, in domains such as broker internals, storage and log management, replication, KRaft metadata quorum, consumer group coordination, Kafka Streams, Kafka Connect, observability, and release quality. Provide binding committer reviews on upstream patches and community contributions, applying the technical rigor and authority that moves high-quality work through the Apache Kafka review process. Contribute to Apache Kafka release management as part of the committer community, including release planning, blocker triage, test stabilization, release candidate validation, documentation readiness, and post-release follow-through. Translate enterprise customer and operator needs into credible upstream proposals, KIP-level designs, and sustained technical engagement that only a committer can supply; advise product and field teams on complex Kafka trade-offs. Shape community direction through evidence-based participation relevant Kafka community channels; influence project decisions on architecture, compatibility, protocol evolution, release policy, contribution standards, and long-term roadmap. Mentor engineers toward committer standing and raise overall contribution quality through rigorous review practices, test discipline, and clear engineering guidance. Improve upstream infrastructure, including CI reliability, test coverage, contributor tooling, benchmarking, release automation, and compatibility validation, to reduce project-wide maintenance burden. Job Requirements A minimum of 12 years of applicable professional software engineering experience is required. Current Apache Kafka committer status with a sustained and publicly verifiable upstream track record across patches, reviews, KIPs, and community standing in Kafka core or a closely related area such as Streams, Connect, clients, or release engineering. Expert Java engineering capability in performance-sensitive, concurrent, and production-grade distributed systems, with the ability to write, review, and reason about complex Kafka internals at depth. Deep mastery of Apache Kafka internals in at least one major domain: broker storage and log replication, KRaft and metadata management, consumer group coordination and rebalancing, protocol and client compatibility, Kafka Streams, Kafka Connect, observability, performance, or release management and CI. Demonstrated ability to lead complex technical work through the Apache open source governance model: KIP authoring or co-sponsorship, design consensus, mailing-list engagement, and Jira-driven delivery from proposal through merge. Strong written communication for asynchronous, global, public technical collaboration - mailing lists, design documents, code reviews, and Jira threads. Proven senior-level technical judgment that resolves most blockers independently, determines approach on novel or ambiguous assignments, surfaces systemic risks proactively, and produces work that is consistent with project and team objectives. Preferred qualifications PMC membership in Apache Kafka or a related Apache project. Track record of work in current Kafka feature and maintenance areas such as KRaft maturity, controller and metadata reliability, consumer rebalance protocol improvements, exactly-once semantics, tiered storage, Kafka Connect security and operability, Streams APIs, client metrics, or release stabilization. Experience connecting upstream technical leadership to enterprise customer and operator outcomes - translating production pain points into accepted community improvements. History of mentoring contributors toward reviewer or committer standing in an open governance project. Familiarity with the Kafka ecosystem: Kafka Streams, Kafka Connect, MirrorMaker 2, Kafka clients, schema and serialization patterns, Kubernetes-based Kafka operations, or adjacent open source projects such as Strimzi. Education Bachelor's degree in engineering or technical related field of study Or additional equivalent experience. Team Information Leadership and team culture The hiring manager for this role is an Engineering Manager for the Open Source Engineering team. You will join a globally distributed group that values committer-grade technical judgment, clear ownership, transparent community engagement, and practical impact on real customer outcomes. The team culture is high-trust and high-accountability. We support engineers who can go deep technically, mentor others generously, collaborate across product and field functions, and improve both code and the contributor ecosystem around it. You will have significant autonomy paired with close collaboration and genuine visibility into the strategic bets your work enables. Compensation: The target salary range for this position is $220,000-265,000. 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 (PTO), 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, 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. 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. Submitting an Application To ensure a streamlined and fair hiring process for all candidates . 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. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Are you an Apache Kafka committer who wants to operate at the highest level of technical and community influence? This role connects deep upstream work, including binding committer authority, KIP-level design, and protocol-aware engineering, directly to production-scale outcomes in enterprise Kafka deployments. NetApp Instaclustr runs one of the industry's largest managed open source data platform portfolios, including Apache Kafka services for enterprise customers across financial services, retail, and technology sectors. Our open source engineering team contributes to projects that matter to production operators at scale, and this role strengthens our ability to influence Apache Kafka upstream in areas that affect reliability, performance, operability, and customer delivery. You will work at both levels - upstream influence and customer impact - with meaningful autonomy, strong peer collaboration, and direct access to the product and field relationships that turn technical work into commercial outcomes. This is a globally distributed team with up to 10% travel. The role is based in one of our office locations - US REMOTE Note that we have global opportunities as well in Cork,Ireland & Netherlands (Schiphol). Postings also available in those markets/locations. Overview As a Senior Open Source Software Engineer, your responsibilities will include: Lead end-to-end upstream initiatives in Apache Kafka, from KIP authoring and design consensus through implementation, review, and release, in domains such as broker internals, storage and log management, replication, KRaft metadata quorum, consumer group coordination, Kafka Streams, Kafka Connect, observability, and release quality. Provide binding committer reviews on upstream patches and community contributions, applying the technical rigor and authority that moves high-quality work through the Apache Kafka review process. Contribute to Apache Kafka release management as part of the committer community, including release planning, blocker triage, test stabilization, release candidate validation, documentation readiness, and post-release follow-through. Translate enterprise customer and operator needs into credible upstream proposals, KIP-level designs, and sustained technical engagement that only a committer can supply; advise product and field teams on complex Kafka trade-offs. Shape community direction through evidence-based participation relevant Kafka community channels; influence project decisions on architecture, compatibility, protocol evolution, release policy, contribution standards, and long-term roadmap. Mentor engineers toward committer standing and raise overall contribution quality through rigorous review practices, test discipline, and clear engineering guidance. Improve upstream infrastructure, including CI reliability, test coverage, contributor tooling, benchmarking, release automation, and compatibility validation, to reduce project-wide maintenance burden. Job Requirements A minimum of 12 years of applicable professional software engineering experience is required. Current Apache Kafka committer status with a sustained and publicly verifiable upstream track record across patches, reviews, KIPs, and community standing in Kafka core or a closely related area such as Streams, Connect, clients, or release engineering. Expert Java engineering capability in performance-sensitive, concurrent, and production-grade distributed systems, with the ability to write, review, and reason about complex Kafka internals at depth. Deep mastery of Apache Kafka internals in at least one major domain: broker storage and log replication, KRaft and metadata management, consumer group coordination and rebalancing, protocol and client compatibility, Kafka Streams, Kafka Connect, observability, performance, or release management and CI. Demonstrated ability to lead complex technical work through the Apache open source governance model: KIP authoring or co-sponsorship, design consensus, mailing-list engagement, and Jira-driven delivery from proposal through merge. Strong written communication for asynchronous, global, public technical collaboration - mailing lists, design documents, code reviews, and Jira threads. Proven senior-level technical judgment that resolves most blockers independently, determines approach on novel or ambiguous assignments, surfaces systemic risks proactively, and produces work that is consistent with project and team objectives. Preferred qualifications PMC membership in Apache Kafka or a related Apache project. Track record of work in current Kafka feature and maintenance areas such as KRaft maturity, controller and metadata reliability, consumer rebalance protocol improvements, exactly-once semantics, tiered storage, Kafka Connect security and operability, Streams APIs, client metrics, or release stabilization. Experience connecting upstream technical leadership to enterprise customer and operator outcomes - translating production pain points into accepted community improvements. History of mentoring contributors toward reviewer or committer standing in an open governance project. Familiarity with the Kafka ecosystem: Kafka Streams, Kafka Connect, MirrorMaker 2, Kafka clients, schema and serialization patterns, Kubernetes-based Kafka operations, or adjacent open source projects such as Strimzi. Education Bachelor's degree in engineering or technical related field of study Or additional equivalent experience. Team Information Leadership and team culture The hiring manager for this role is an Engineering Manager for the Open Source Engineering team. You will join a globally distributed group that values committer-grade technical judgment, clear ownership, transparent community engagement, and practical impact on real customer outcomes. The team culture is high-trust and high-accountability. We support engineers who can go deep technically, mentor others generously, collaborate across product and field functions, and improve both code and the contributor ecosystem around it. You will have significant autonomy paired with close collaboration and genuine visibility into the strategic bets your work enables. Compensation: The target salary range for this position is $220,000-265,000. 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 (PTO), 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, 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. 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. Submitting an Application To ensure a streamlined and fair hiring process for all candidates . 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. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Are you an Apache Kafka committer who wants to operate at the highest level of technical and community influence? This role connects deep upstream work, including binding committer authority, KIP-level design, and protocol-aware engineering, directly to production-scale outcomes in enterprise Kafka deployments. NetApp Instaclustr runs one of the industry's largest managed open source data platform portfolios, including Apache Kafka services for enterprise customers across financial services, retail, and technology sectors. Our open source engineering team contributes to projects that matter to production operators at scale, and this role strengthens our ability to influence Apache Kafka upstream in areas that affect reliability, performance, operability, and customer delivery. You will work at both levels - upstream influence and customer impact - with meaningful autonomy, strong peer collaboration, and direct access to the product and field relationships that turn technical work into commercial outcomes. This is a globally distributed team with up to 10% travel. The role is based in one of our office locations - US REMOTE Note that we have global opportunities as well in Cork,Ireland & Netherlands (Schiphol). Postings also available in those markets/locations. Overview As a Senior Open Source Software Engineer, your responsibilities will include: Lead end-to-end upstream initiatives in Apache Kafka, from KIP authoring and design consensus through implementation, review, and release, in domains such as broker internals, storage and log management, replication, KRaft metadata quorum, consumer group coordination, Kafka Streams, Kafka Connect, observability, and release quality. Provide binding committer reviews on upstream patches and community contributions, applying the technical rigor and authority that moves high-quality work through the Apache Kafka review process. Contribute to Apache Kafka release management as part of the committer community, including release planning, blocker triage, test stabilization, release candidate validation, documentation readiness, and post-release follow-through. Translate enterprise customer and operator needs into credible upstream proposals, KIP-level designs, and sustained technical engagement that only a committer can supply; advise product and field teams on complex Kafka trade-offs. Shape community direction through evidence-based participation relevant Kafka community channels; influence project decisions on architecture, compatibility, protocol evolution, release policy, contribution standards, and long-term roadmap. Mentor engineers toward committer standing and raise overall contribution quality through rigorous review practices, test discipline, and clear engineering guidance. Improve upstream infrastructure, including CI reliability, test coverage, contributor tooling, benchmarking, release automation, and compatibility validation, to reduce project-wide maintenance burden. Job Requirements A minimum of 12 years of applicable professional software engineering experience is required. Current Apache Kafka committer status with a sustained and publicly verifiable upstream track record across patches, reviews, KIPs, and community standing in Kafka core or a closely related area such as Streams, Connect, clients, or release engineering. Expert Java engineering capability in performance-sensitive, concurrent, and production-grade distributed systems, with the ability to write, review, and reason about complex Kafka internals at depth. Deep mastery of Apache Kafka internals in at least one major domain: broker storage and log replication, KRaft and metadata management, consumer group coordination and rebalancing, protocol and client compatibility, Kafka Streams, Kafka Connect, observability, performance, or release management and CI. Demonstrated ability to lead complex technical work through the Apache open source governance model: KIP authoring or co-sponsorship, design consensus, mailing-list engagement, and Jira-driven delivery from proposal through merge. Strong written communication for asynchronous, global, public technical collaboration - mailing lists, design documents, code reviews, and Jira threads. Proven senior-level technical judgment that resolves most blockers independently, determines approach on novel or ambiguous assignments, surfaces systemic risks proactively, and produces work that is consistent with project and team objectives. Preferred qualifications PMC membership in Apache Kafka or a related Apache project. Track record of work in current Kafka feature and maintenance areas such as KRaft maturity, controller and metadata reliability, consumer rebalance protocol improvements, exactly-once semantics, tiered storage, Kafka Connect security and operability, Streams APIs, client metrics, or release stabilization. Experience connecting upstream technical leadership to enterprise customer and operator outcomes - translating production pain points into accepted community improvements. History of mentoring contributors toward reviewer or committer standing in an open governance project. Familiarity with the Kafka ecosystem: Kafka Streams, Kafka Connect, MirrorMaker 2, Kafka clients, schema and serialization patterns, Kubernetes-based Kafka operations, or adjacent open source projects such as Strimzi. Education Bachelor's degree in engineering or technical related field of study Or additional equivalent experience. Team Information Leadership and team culture The hiring manager for this role is an Engineering Manager for the Open Source Engineering team. You will join a globally distributed group that values committer-grade technical judgment, clear ownership, transparent community engagement, and practical impact on real customer outcomes. The team culture is high-trust and high-accountability. We support engineers who can go deep technically, mentor others generously, collaborate across product and field functions, and improve both code and the contributor ecosystem around it. You will have significant autonomy paired with close collaboration and genuine visibility into the strategic bets your work enables. Compensation: The target salary range for this position is $220,000-265,000. 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 (PTO), 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, 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. 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. Submitting an Application To ensure a streamlined and fair hiring process for all candidates . 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. Join teams that innovate to elevate, drive results, and excel together across every function. 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. 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. 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. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.