Storage Server And Engineering Jobs

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As an Internal Audit IT Manager, you'll join the Internal Audit team and own a portfolio of complex IT and security audits across Coinbase's global cloud infrastructure, security operations, and crypto-native products. This team delivers independent, third-line assurance over technology, information security, and IT governance, helping Coinbase protect customers and maintain trust at scale. . You'll shape audit coverage, ensure that findings from complex audit work are communicated appropriately to executive and Board-level audiences, and lead team members to build a best-in-class IT audit function. What you'll do: Own and coordinate a portfolio of IT and security audits covering cloud infrastructure (AWS, GCP), application security, identity and access management, vendor/third-party risk, and blockchain-related products including wallets and cold storage. Shape the execution of the multi-year IT and security audit roadmap, coordinating coverage with co-sourced partners and aligning with enterprise risk initiatives. Synthesize complex audit findings into high-impact reports and presentations for executive leadership, the Chief Audit Executive, and the Audit Committee, ensuring conclusions are rigorous and actionable. Drive remediation strategy for IT and security findings, challenging management on risk-based solutions, validating corrective actions, and escala

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Lead end-to-end SSD firmware test architecture design and quality validation for enterprise/data center/automotive SSD products. Build high-efficiency automation platforms and CI/CD pipeline, drive critical issue resolution and product mass production. Key Responsibilities Own overall test architecture, validation strategy and quality system for enterprise SSD firmware. Design and implement test solutions covering functionality, performance, reliability, QoS, PLP, FTL, GC, power and security. Build and optimize automation test framework, long-stability test system and CI/CD pipeline to support mass validation. Lead root cause analysis and closure of critical FW issues including hang, drop, performance degradation and compatibility problems. Participate in product architecture review and provide technical suggestions on FW design, NAND selection and reliability targets. Drive test team capability improvement, process optimization and technical standardization. Track new storage technologies: PCIe 5.0/6.0, NVMe 2.0, ZNS, CXL, automotive and industrial storage. Requirements <s

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Lead end-to-end SSD firmware test architecture design and quality validation for enterprise/data center/automotive SSD products. Build high-efficiency automation platforms and CI/CD pipeline, drive critical issue resolution and product mass production. Key Responsibilities Own overall test architecture, validation strategy and quality system for enterprise SSD firmware Design and implement test solutions covering functionality, performance, reliability, QoS, PLP, FTL, GC, power and security Build and optimize automation test framework, long-stability test system and CI/CD pipeline to support mass validation Lead root cause analysis and closure of critical FW issues including hang, drop, performance degradation and compatibility problems Participate in product architecture review and provide technical suggestions on FW design, NAND selection and reliability targets Drive test team capability improvement, process optimization and technical standardization Track new storage technologies: PCIe 5.0/6.0, NVMe 2.0, ZNS, CXL, automotive and industrial storage. Requirements Ba

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. We are looking for an engineer with strong experience in machine learning and solid foundations in math and computer science to join our growing Post-Training team at Baseten. THE ROLE Custom models are instrumental to the success of Baseten customers. By inference volume, the overwhelming majority of traffic at Baseten is to and from models that have been post-trained in some way, whether that be through reinforcement learning, supervised finetuning, a recent technique from the literature, or an in-house research technique from Baseten. The Post-Training team is responsible for the success of our customers’ post-trained models, and we employ a wide array of techniques to produce models that are more efficient and higher quality than even the biggest closed source models for the customer’s specific needs. Your role as a research engineer is to build the in-house tooling to support all of this. We care about training a wide spectrum of different model architectures with a variety of techniques efficiently and at scale. At times this involves zooming deep into a particular technical topic, but more often it involves working across the stack as a whole - systems-level concepts like Kubernetes, cgroups, storage systems, and networking topologies, as well as PyTorch distributed tensor computation, and GPU kernels. The Manifesto: https://labs.baseten.co/manifesto RECENT RESEARCH Dense, on-policy or both? Repeated kv cache for

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As an Infra Product Manager, you will be responsible for the design, development, and lifecycle management of Web3 cross-business infrastructure products, with a focus on core components such as central data services, market data systems, labeling systems, asset category management, and algorithm platforms for Wallet, DEX and other businesses. You will collaborate closely with engineering, data, and business teams to ensure products meet the performance, security, and scalability requirements of Web3 businesses. This role demands strong product thinking, technical depth, and insight into the Web3 industry to help the team build an efficient and reliable Web3 Infra system. What You’ll Be Doing Central Data Services Management : Oversee the design of central data services for Web3 cross-business domains, including data collection, integration, storage, querying, and distribution. Ensure real-time data accuracy, security, and support for complex business needs and multi-platform environments. Market Data System Development and Optimization : Contribute to the product design a

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As an Infra Product Manager, you will be responsible for the design, development, and lifecycle management of Web3 cross-business infrastructure products, with a focus on core components such as central data services, market data systems, labeling systems, asset category management, and algorithm platforms for Wallet, DEX and other businesses. You will collaborate closely with engineering, data, and business teams to ensure products meet the performance, security, and scalability requirements of Web3 businesses. This role demands strong product thinking, technical depth, and insight into the Web3 industry to help the team build an efficient and reliable Web3 Infra system. What You’ll Be Doing Central Data Services Management : Oversee the design of central data services for Web3 cross-business domains, including data collection, integration, storage, querying, and distribution. Ensure real-time data accuracy, security, and support for complex business needs and multi-platform environments. Market Data System Development and Optimization : Contribute to the product design a

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Staff ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit. Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges Who You Might Be: 8+ years of experience in ML infrastructure, including model training and model deployments Hands-on experience with ML optimization, including memory and GPU profiling Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit. Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges Who You Might Be: 5+ years of experience in ML infrastructure, including model training and model deployments Hands-on experience with ML optimization, including memory and GPU profiling Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code

P-1110 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. We are the Lakeflow Engineering team, responsible for Databricks ETL product line: Jobs , Spark Declarative Pipelines , and Genie Code for Data Engineering . We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers. We're seeking a dedicated Engineering Leader to spearhead the Pipelines Engine engineering team. The team is responsible for building next generation Runtime ETL features and ensuring that Lakeflow Pipelines has state of art performance for ETL workloads. You will also spearhead the Agentic Data Engineering infrastructure, by building the next generation engine to power agentic pipeline authoring, execution and maintenance. The main responsibilities include: You will lead an engineering team building the next-generation ETL features for the Databricks Lakeflow platform. You will oversee sustained recruitment of top-tier talent, and upskilling talent on the team. You will build processes to implement product vision and strategy, according to organizational goals and priorities. You will build software that is not just high quality but easy to operate. You will manage technical debt, including long-term technical architecture decisions and balance product roadmap. What we look for: Minimum 3 years of experience in managing top-tier engineering teams 5+ years experience building data infrastructure systems such as Apache Spark™ or database internals. A passion for database systems, storage systems, distributed systems, or performance optimization

Scale AI is seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, & Compute) to join our dynamic Public Sector Engineering team. As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments. You will: Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure. Own services or systems and define their long-term health goals, while also improving the health of surrounding components. Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product. Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments. Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings. Must have: At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance Ideally you'd have: Full Stack Development: Prof

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . The Data team within Foundation processes data at scale. It builds and operates tools that scan petabytes of data to extract insights. The team builds indices and views for semi-structured data to facilitate analytics, using both in-house and off-the-shelf tools. . The team diligently keeps track of newer services, storage tiers, and various aspects of existing AWS services to take advantage of the continuous evolution of services and use them effectively in the background. As a Sr. Software Engineer, you will be providing technical leadership to create high-quality software by owning low level , design and implementation of services within a product. This role will require excellent communication skills as you will collaborate with Product Management to refine requirements, product architects to propose design changes, and other product owners to drive features to completion with good quality. Key Skill AI first mindset to software development, having experience using genAI during various phases of software development lifecycle from design to code to test using tools like 'cursor' 5-7

Job Responsibilities Prepare and cook food items according to standardized recipes and menu specifications. Follow proper food safety and sanitation procedures to ensure food quality and safety. Adhere to portion control guidelines and presentation standards. Collaborate with kitchen team members to coordinate food preparation and order execution. Maintain a clean and organized kitchen area, including washing dishes and equipment. Assist in food inventory management as needed. Demonstrate Topgolf’s Core Values: Fun, One Team, Excellence, Edgy Spirit, and Caring. Critical Skills & Experience Requirements Prior experience in a high-volume kitchen or culinary environment preferred. Knowledge of food safety and sanitation standards. Ability to work in a fast-paced and teamwork-oriented environment. Excellent communication and time management skills. Flexibility to work varied shifts, including evenings, weekends, and holidays. High school diploma or equivalent preferred. Job Responsibilities Wash dishes, glassware, flatware, pots, or pans using dishwashers or by hand. Place clean dishes, utensils, and cooking equipment in designated storage areas. Maintain kitchen work areas, equipment, and utensils in clean and orderly condition. Sweep and mop floors, empty trash, and ensure cleanliness and safety in the kitchen area. Sort and remove trash, placing it in designated pickup areas. Ensure compliance with sanitation regulations and food safety guidelines. Assist with unloading and storing deliveries. Perform other kitchen duties as assigned by the culinary team or supervisor. Critical Skills & Experience Requirements No specific educational requirements; a hi

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: Vercel is hiring a Strategic Cloud Partnerships Lead to own and grow our relationships with the cloud and infrastructure companies that underpin our platform and help us reach enterprise customers. This role sits at the intersection of infrastructure, product, and go-to-market. You will work with Vercel’s Product and Engineering teams to understand how we use our partners’ infrastructure today, identify where deeper technical collaboration could improve our platform or economics, and turn those opportunities into executable partnership strategies. At the same time, you will build joint go-to-market motions that create pipeline, accelerate enterprise deals, and make Vercel more strategic to our partners’ field organizations. You will report to the Head of Strategic Partnerships and own a named set of cloud partners end to end. You will work across those partners’ product, engineering, sales, marketplace, and executive teams, connecting technical opportunities with commercial outcomes. This is not a role for someone who only manages relationships or coordinates partner programs. You will need the technical depth to understand how Vercel is leveraging—or could leverage—a partner’s compute, networking, storage, security, data, and AI infrastructure. You will also need the commercial judgment and executive presence to build a joint business case, mobilize two organizations, and hold your own in conversations with sophisticated enterprise customers. We are looking for someone with strong ownership who operates at a senior level, moves co

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. The Ubiquiti Prague office is looking for a QA Automation Engineer . This role involves establishing and scaling QA automation for a new product area, including building end-to-end test coverage, test infrastructure, and supporting frameworks from the ground up. We’re looking for a reliable team player with knowledge of computer storage. We expect you to bring your enthusiasm and creativity wherever you go and put them in the work you do. You should be able to think out of the box when finding solutions to brand new problems and make things work when the solution is not straightforward. Candidates should be prepared to work from our Prague office at least two times per week. Responsibilities: Design, build, and maintain automated end-to-end tests for network, storage, and related software systems Help establish QA automation practices, test coverage, and supporting infrastructure for a new and evolving product area Identify risk areas, define effective test scenarios, and keep automated coverage aligned with product changes Investigate issues, document defects, and work closely with developers to improve product quality Requirements: 3+ years of experience in QA automation or a similar role, with strong Linux and Bash skills Experience with at least one programming language, such as Python or Go Solid understanding

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Sao Paulo for our hybrid working model. As an ideal candidate, you will have: 8+ years of pre-sales experience with enterprise software and technical aptitude Working knowledge and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) Experience with scalable and highly available distributed systems 2+ years of software development experience Excellent presentation and communication skills The ability to travel up to 50% A Bachelor’s degree or equivalent work experience Professional proficiency in speaking and writing Portuguese and English Professional proficiency in speaking and writing Spanish is highly preferred As an ideal candidate, you may also have: Experience selling databases and/or deploying applications with any of the major cloud providers Experience with database programming and data modelling Knowledge of modern technologies - their function and integration requirements - e.g. Spark, cloud storage/streaming, API mgmt, Kafka, serverless. A cloud provider certification A MongoDB