Storage Server And Engineering Jobs

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Mapping team at Lyft is tasked with building a digital representation of the physical world - a map. We collect and serve the freshest and most accurate mapping data possible, along with algorithms, models, platform services, and map-based user experiences that power Lyft’s current and future transportation offerings. Mapping represents a huge opportunity for Lyft’s business, but also a big challenge. We build and scale systems that deal with large data storage, real-time data processing, machine / deep learning pipelines, routing and ETA models, driver and passenger location tracking, and more. We built beautiful and magical user experiences on top of all those services, and compete with companies that have been in the mapping business for decades. Our engineering team is growing rapidly, and we are looking for Engineering Managers to help us scale. Our engineers are smart, flexible, and love solving difficult challenges. They look to their managers for organizational transparency, career development, mentorship, and honest feedback. They move fast and ship code to production continuously, relying on their leadership to increase productivity by removing obstacles and keeping processes lean. Responsibilities: Manage a rapidly growing team of engineers developing user-facing Mapping experiences Mentor and guide the professional and technical development of your team members. Help develop their careers and assign them to projects tailored to their skill levels, personalities, work styles, and professional goals Build teams that are collaborative, inclusive, and respectful of each other Provide continuous feedback, address underperformance, and recognize the individual strengths and contributions of your team members Create plans for prioritizing technical and resourcing challenges in your organizat

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As the Engineering Manager for the Lakehouse Foundation team, you will lead a group of engineers responsible for the foundational data layer that all of Lyft's data systems and emerging AI workloads are built on. The team owns catalog and metadata management, table formats and storage, and the access patterns and gateways through which other engineering teams interact with Lyft's data. As Lyft converges on a unified lakehouse architecture, this team builds and operates the single source of truth that powers analytics, machine learning, experimentation, and every business decision made from data. You will play a key role in shaping the team's technical direction, partnering with peer Data Platform teams on a multi-year platform evolution, and developing engineers who operate with autonomy on systems of significant scale and complexity. Lyft's Infrastructure teams build the foundational systems that the rest of engineering depends on to move fast, ship reliably, and scale efficiently. These are high-leverage roles where the work you and your team do has a multiplicative effect across the company. We're looking for experienced leaders who can balance the discipline of operating critical infrastructure with the curiosity to keep evolving how Lyft builds. Engineering at Lyft is a place where managers and engineers operate with high ownership and strong technical judgment. Our engineers expect their managers to be honest, available, and focused on the work that matters: developing their teams, removing obstacles, and giving people the support they need to do their best work. We build teams that are inclusive, technically rigorous, and have a strong sense of ownership for what they build. Responsibilities: Lead a team responsible for Lyft's foundational data layer, including catalog and metadata management,

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Mapping team at Lyft is tasked with building a digital representation of the physical world - a map. We collect and serve the freshest and most accurate mapping data possible, along with algorithms, models, platform services, and map-based user experiences that power Lyft’s current and future transportation offerings. Mapping represents a huge opportunity for Lyft’s business, but also a big challenge. We build and scale systems that deal with large data storage, real-time data processing, machine / deep learning pipelines, routing and ETA models, driver and passenger location tracking, and more. We built beautiful and magical user experiences on top of all those services, and compete with companies that have been in the mapping business for decades. Our engineering team is growing rapidly, and we are looking for Engineering Managers to help us scale. Our engineers are smart, flexible, and love solving difficult challenges. They look to their managers for organizational transparency, career development, mentorship, and honest feedback. They move fast and ship code to production continuously, relying on their leadership to increase productivity by removing obstacles and keeping processes lean. Responsibilities : Manage a rapidly growing team of engineers developing user-facing Mapping experiences Mentor and guide the professional and technical development of your team members. Help develop their careers and assign them to projects tailored to their skill levels, personalities, work styles, and professional goals Build teams that are collaborative, inclusive, and respectful of each other Provide continuous feedback, address underperformance, and recognize the individual strengths and contributions of your team members Create plans for prioritizing technical and resourcing challenges in y

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As Director of Strategy and Business Operations, you will serve as a strategic operational leader driving the execution of Everpure’s R&D strategy and product priorities. Partnering directly with R&D executives, Product Management, Finance, and Engineering leadership, you will translate corporate objectives into integrated operating plans, resource allocations, and governance frameworks. You will align headcount, OpEx, and CapEx investments to high-impact initiatives while establishing performance scorecards that accelerate engineering effectiveness and decision-making speed across the enterprise. WHAT YOU'll DO Strategic & Operational Planning : Translate R&D priorities into integrated operating plans, measurable outcomes, and cross-functional execution roadmaps that align investments with corporate goals. Investment & Resource Optimization : Oversee R&D headcount, OpEx, CapEx, and infrastructure resource planning, delivering data-backed recommendations to guide executive prioritization and trade-off decisions. Engineering & Business Performance Metrics : Establish R&D scorecards and performance metrics that convert operational data into actionable insights, shifting business reviews toward proactive risk mitigation and outcome-driven decisions. Governance & Operating Cadence : Design and manage executive operating mechanisms, business reviews, and planning forums that ensure c

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are building the future of semiconductor manufacturing through world-class facilities engineering and construction at our Boise campus. Our team partners across engineering, construction, operations, and technology disciplines to deliver complex projects that enable Micron's growth and innovation. We value collaboration, technical excellence, continuous improvement, and the use of emerging technologies to improve project outcomes. As an Engineering Design Manager, you will serve as an individual contributor responsible for leading and coordinating engineering design execution for major semiconductor facility projects. While this role provides technical leadership and oversight of external architecture and engineering partners and guides matrixed project teams, it does not have direct people management responsibilities. You will play a critical role in ensuring design quality, constructability, schedule alignment, and successful project delivery from concept through construction. Responsibilities: Lead engineering design activities from concept development through issued-for-construction design packages Coordinate multidisciplinary engineering teams and external A&E partners to deliver safe, compliant, constructible, and high-quality designs Drive design reviews, resolve technical issues and design conflicts, and manage design-related risks throughout project execution Partner with construction, procurement, operations, and project stakeholders to align engineering deliverables w

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a Data Engineer in X product engineering team, you will play a key role in providing comprehensive data solutions that own or serve a wide range of stakeholders, including our end-users and internal teams such as Product engineering, Algorithm, Legal, Finance and Sales. Our work utilizes AI, distributed computing and hybrid storage technologies, but extends beyond purely data-centric solutions, encompassing non-data-related challenges, ultimately maximizing the potential of data for the benefit of our diverse user base. RESPONSIBILITIES: You'll help build and operate a distributed data platform that powers hundreds of realtime and batch pipelines processing billions of events per day. The team runs like an internal startup — we own problems end to end, from raw event streams to the datasets, tooling, and metrics that product, growth, safety, and business teams depend on daily. In this role you will: Design, build, and operate production-grade realtime and batch pipelines that ingest, process, validate, and deliver data powering user-behavior insights and product decisions. Create shared datasets, fact tables, and internal data products that let other teams ana

Sr. Director of Commercial and Legal Affairs About Backblaze Backblaze is a public company that makes storing and using data astonishingly easy. When our founding team got together, they committed to helping people save their data. Today, the Backblaze Storage Cloud provides a foundational platform around the world for a broad community of developers, IT generalists, entrepreneurs, and individuals who seek the easy, affordable, trusted solutions we provide. We have managed to nurture a team-oriented culture with amazingly low turnover. Our approach is guided by honesty, transparency, and a commitment to doing the right thing. Our customers are happy, and so are our coworkers: in the most recent “Great Place to Work” survey, 97% of our team rated Backblaze as “a great place to work.” Check out what our employees are saying on Glassdoor! About the Role We are seeking a Sr. Director of Commercial and Legal Affairs to lead and oversee Backblaze’s commercial, privacy, and product legal functions. This is a people leader role that will serve as a strategic business partner across Sales, Product, Engineering, Security, and Compliance. The ideal candidate is a highly experienced commercial lawyer with a strong track record of drafting and negotiating complex technology transactions, including enterprise and strategic partnership deals. This role also requires fluency in privacy and data protection issues and hands-on experience advising product and engineering teams throughout the product lifecycle. This position will play a critical role in enabling scalable growth while thoughtfully managing legal and regulatory risk as Backblaze continues to expand globally. This role includes people management responsibilities and will lead, mentor, and develop attorney(s) and legal professional(s) supporting commercial, privacy, and product work. This role reports to the Head of Legal & Compliance and is fully remote (US-based). What You’ll Do Commercial Leadership and Deal Executi

Sr. Director of Commercial and Legal Affairs About Backblaze Backblaze is a public company that makes storing and using data astonishingly easy. When our founding team got together, they committed to helping people save their data. Today, the Backblaze Storage Cloud provides a foundational platform around the world for a broad community of developers, IT generalists, entrepreneurs, and individuals who seek the easy, affordable, trusted solutions we provide. We have managed to nurture a team-oriented culture with amazingly low turnover. Our approach is guided by honesty, transparency, and a commitment to doing the right thing. Our customers are happy, and so are our coworkers: in the most recent “Great Place to Work” survey, 97% of our team rated Backblaze as “a great place to work.” Check out what our employees are saying on Glassdoor! About the Role We are seeking a Sr. Director of Commercial and Legal Affairs to lead and oversee Backblaze’s commercial, privacy, and product legal functions. This is a people leader role that will serve as a strategic business partner across Sales, Product, Engineering, Security, and Compliance. The ideal candidate is a highly experienced commercial lawyer with a strong track record of drafting and negotiating complex technology transactions, including enterprise and strategic partnership deals. This role also requires fluency in privacy and data protection issues and hands-on experience advising product and engineering teams throughout the product lifecycle. This position will play a critical role in enabling scalable growth while thoughtfully managing legal and regulatory risk as Backblaze continues to expand globally. This role includes people management responsibilities and will lead, mentor, and develop attorney(s) and legal professional(s) supporting commercial, privacy, and product work. This role reports to the Head of Legal & Compliance and is fully remote (US-based). What You’ll Do Commercial Leadership and Deal Executi

RDQ427R204 Databricks builds the world's leading data and AI platform, used by tens of thousands of organizations to turn raw data into decisions that matter. The Lakeflow Engineering team owns the entirety of the ETL product line: Declarative Dataflow Graphs, Materialized Views, Structured Streaming, and Flows. We run what is arguably the world's largest data engineering platform, processing exabytes of data daily across tens of thousands of customers. The problems we solve (fault-tolerant incremental computation, stream-batch unification, declarative pipeline orchestration at massive scale) sit at the frontier of what distributed data systems can do. We're looking for a Senior Staff Engineer to serve as a technical architect and engineering leader for this platform. You'll own the long-term technical direction for how pipelines are defined, optimized, executed, and operated, shaping the systems that data teams worldwide depend on every day. You will work across one or more of the following areas to design and build the next generation of data infrastructure: Declarative Dataflow Processing Resource management Efficient storage structures Stream Processing and Complex Event Processing Autonomic Computing and Self-Managing Systems The Impact you will have: Architect and deliver a highly scalable, fault-tolerant platform for declarative pipelines and materialized views serving thousands of production customers. Turn ambiguous, large-scale technical challenges into clear execution plans that ship incrementally and hold up at exabyte scale. Bridge the gap between research and production by bringing ideas from the academic literature or internal R&D into systems that solve real customer problems. Lead deep systems work: performance diagnosis on large production clusters, low-level debugging, and optimization that moves the needle on cost and latency. Shape product direction alongside engineering and product leadership, owning technical strategy from design thr

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About the Role: We’re looking for our first IT Lead to build and own the systems that enable everyone at Modal to work effectively and securely. You’ll own our employee technology environment end-to-end, including identity and access, devices, internal systems, SaaS applications, and day-to-day IT operations. You’ll work closely with Security and Engineering to build an environment that is secure by default, easy to operate, and scales with the company. This is initially a hands-on role. You’ll build systems, automate workflows, and solve problems directly. As Modal grows, you’ll define how the IT function should scale and eventually build a team around it. What You’ll Work On: Identity & Access Own employee identity and access across internal systems and SaaS applications Build scalable onboarding, offboarding, and access lifecycle workflows Improve SSO, MFA, least privilege, and access management in p

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This internship is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustness in high-stakes real-world deployments. Preferred Qualifications: Currently pursuing a PhD in computer science, machine learning, or a related field. A demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas. Experience developing and evaluating large-scale models or machine learning systems. Familiarity with distributed training, lar

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work. What You'll Do: We are looking for research scientists with a strong track record in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This role is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustness in high-stakes real-world deplo

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake runs large scale cloud infrastructure to deliver its own service — production and internal deployments, Kubernetes fleets, CI/CD, etc. Our cloud spend is in billions of dollars per year. The Cloud Efficiency team builds a unified, self-serve cloud efficiency platform along with AI skills and agents that makes spend observable, attributable, governable while driving insights and optimization of our cloud spend. AS A SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: Design, develop, and maintain scalable platform for resource ownership registry, usage attribution, utilization measurement, and cost modeling. Build AI agents, tools and automation to enhance system monitoring, alerting, and root cause analysis. Improve and optimize data ingestion, storage, and query efficiency for cloud utilization, cost and efficiency data at scale. Collaborate with teams across Snowflake to understand attribution and observability needs and implement solutions that improve operational visibility. Contribute to open-source and industry best practices in monitoring and distributed systems monitoring. Ensure high availability, reliability, and performance of team-managed platforms by participating in on-call rotations and incident management. Partner with Finance, Product and Engineering teams t

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The HBM Design Technology Package Co-Optimization (DTPCO) organization is seeking a Staff Engineer! Lead the design and development of test vehicles that enable technology learning and risk reduction for future HBM products! This role serves as a key technical contributor within DTPCO, partnering closely with Architecture, Design, Layout, Product Engineering, Reliability, and Advanced Packaging teams to translate emerging product requirements and technology challenges into actionable test vehicle solutions. You will apply expertise in semiconductor design, physical implementation, silicon characterization, and advanced packaging technologies to define test structures, develop validation strategies, and generate data that drives product decisions across future HBM generations. Unlike a traditional product role centered on ownership of product blocks, this position emphasizes enabling learning in development and engineering. It does so by developing representative test vehicles and characterization structures. Key Responsibilities Serve as a technical lead for HBM test vehicle design and structure development within DTPCO. Partner with HBM product, technology and reliability team. Define and implement test structures targeting key learning areas such as package interaction and reliability Drive test vehicle content definition, structure specifications, measurement requirements, and validation objectives. Analyze silicon characterization and qualification results to identify optimization opportunit

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron, our Global Quality Operations (GQ Ops) team plays a critical role in supporting manufacturing excellence, improving cycle time, enhancing data quality, and enabling operational efficiency across the factory. We are looking for a highly motivated GQ Operations Technician to serve as a technical resource and operational leader who bridges production and engineering teams. In this role, you will drive workflow optimization, resolve complex manufacturing issues, support advanced technician training, and contribute to continuous improvement initiatives that impact product quality, throughput, and customer satisfaction. As a GQ Operations Technician, you will leverage technical expertise, problem-solving skills, and Generative AI tools to improve operational performance, support engineering activities, and ensure smooth product movement through manufacturing processes. Responsibilities: · Monitor workstation performance, cycle time, and manufacturing reports to identify operational constraints and implement improvement actions. · Troubleshoot and resolve product flow interruptions, lot holds, lockups, tracking issues, equipment group holds, data transfer concerns, and manufacturing execution system errors. · Partner with Engineering, Equipment Support, and Production teams to improve equipment productivity, job release accuracy, process execution, and overall factory performance. · Lead advanced technical training efforts by mentoring, certifying, and coaching Manufacturing Technicians while developing and