Storage Server And Engineering Jobs

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 a Principal Hardware Systems Engineer within Everpure’s EXA Hardware Engineering organization, you will serve as a primary technical authority driving the architectural vision, end-to-end design, and system-level validation of our next-generation enterprise and cloud-scale storage platforms. In this principal-level role, you will define the technology roadmap that bridges deep silicon/board-level hardware innovation with complex, multi-node cloud execution. You will establish design patterns, set high-speed and power/thermal benchmarks, and lead technical strategy across internal platform software teams, cross-functional executives, and global OEM/ODM/JDM partners. By defining next-generation server architectures, rack-scale power/thermal strategies, and zero-downtime resilience models, you will ensure EverPure maintains its industry-leading edge in storage performance and platform reliability. WHAT YOU’LL DO Architectural Leadership & Platform Strategy: Define and own the end-to-end multi-generational hardware roadmap for enterprise storage platforms. Drive architectural trade-off decisions across compute (x86/ARM), memory subsystems, DPUs, high-speed fabrics (PCIe Gen 5/6, CXL), and media technologies to maximize storage density, performance per watt, and TCO. JDM/ODM Governance & System Design: Lead system-level HW design reviews (schematics, layout, power tree design, thermal topology) across global

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role We are seeking skilled and motivated Senior Software Engineer, Backend Development(BotBonnie) to join our dynamic team. As a Senior Backend Development (BotBonnie), you will play a crucial role in designing, developing, and maintaining the server-side applications that power our web. Responsibilities Develop efficient and scalable backend services using Node.js, Express.js, and other relevant technologies. Collaborate with cross-functional teams, including frontend developers, product managers, and designers, to design and implement robust APIs and web services. Ensure the performance, security, and reliability of server-side applications, identifying and resolving bottlenecks and bugs as necessary. Integrate with databases and data storage solutions, such as MongoDB, MySQL, Redis, RedShift or other NoSQL databases. Implement unit tests and conduct code reviews to maintain high code quality and foster a collaborative development environment. Participate in architectural discussions and contribute innovative ideas to improve system architecture and performance. Stay up-to-date with the latest trends and advancements in Node.js and backend technologies to propose suitable improvements to existing systems. Troubleshoot and debug production issues, providing timely resolutions and minimizing downtime. Optimize applications for maximum speed and scalability, considering factors like caching, load balancing, and distributed systems. Continuously improve development processes and best practices to ensure efficient and reliab

Deeply understanding what’s in the enterprise data has been a challenge that Databricks has been addressing by providing analytics and machine learning tools. From data warehousing with Databricks SQL to large-scale distributed processing with Spark and advanced ML tools for experimentation and model serving, we empower our customers to gain insights and drive innovation. To enable all of this on Databricks, making data ingestion seamless is crucial. That’s the mission of the Ingestion Core Team: to make the ingestion of all data—structured and unstructured—simple, reliable, and efficient. Simplifying the complex is hard, and that’s where you come in. This role requires building distributed platform systems to incrementally ingest high-volume, petabyte-scale data from diverse sources—including cloud storage (SQS, ADLS, GCS), databases (Oracle, SQL Server, MySQL, Postgres), and file sources (Google Drive, SharePoint)—at high throughput and low cost. The data includes structured formats (JSON, Parquet, CSV) as well as unstructured data (text, images, docs, PPTs, and blobs), all of which land in Delta Lake with schema evolution and change data capture (CDC) capabilities. Join us in making data ingestion effortless and be part of the team that powers the future of AI + data at Databricks! As an engineer on the team, you will work on projects that: Build distributed infrastructure to ingest data from diverse sources and support streaming ingestion, incremental processing, and replication. This isn’t just about building plugin connectors. Reduce end-to-end latency, increase throughput, and reduce costs from the time data appears in source systems to when it is available in Delta Lake. Design and optimize streaming and distributed workloads for throughput, cost, latency, reliability, and scale. Optimize streaming workloads by exploring and applying ML techniques. Build monitoring and observability capabilities (customer-facing and internal) that

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. Edge Functions are server-side TypeScript functions, distributed globally at the edge - close to your users. They power use cases such as webhook receivers, AI inferences, OG image generation and real-time bots (Slack, Discord, etc). Built on top of Supabase Edge Runtime : an open-source, Deno-based runtime written in Rust that runs JavaScript, TypeScript, and WASM services. We want developers to be able to build truly global applications by distributing both compute and data globally. Infrastructure concerns like regions, cold starts, CPU and memory provisioning should fade into the background so developers can focus on iterating on business logic. We are looking for experienced and passionate engineers to help us go further in this vision. What You’ll Own Evolving Supabase Edge Runtime - an Open-sourced Rust-based host that runs the Deno isolate, manages the main/user runtime split, and enforces per-request memory and CPU limits. Implementing monitoring, alerting, and OpenTelemetry tracing across the runtime, then using that visibility to drive optimizations that improve latency and reliability of the service. Working closely with the Deno and other open-source teams, contributing to upstream and relaying our users' requirements. Participating in an on-call rotation to keep Edge Functions healthy in production. Help manage and improve features like scheduled functions, background tasks, WebSockets streaming, ephemeral file storage, and custom routing. Integrating functions more tightly with the rest of the Supabase stack - Auth, Postgres, Storage, and Realtime. Expanding functions to support more use cases (AI inference, MCP servers, hosting simple websites, URL shorteners). Improving the DX

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. Compute is our newly launched microVM architecture for running agentic workloads, operating alongside our existing Edge Functions service for server-side TypeScript functions distributed globally at the edge. We want developers to be able to build truly global applications by distributing both compute and data globally. Infrastructure concerns like regions, cold starts, CPU and memory provisioning should fade into the background so developers can focus on iterating on business logic, and fast, flexible runtimes a growing range of agent-driven code. We are looking for experienced and passionate engineers to help us go further in this vision. What You’ll Own Help build & architect the Supabase Compute platform, built on Firecracker microVMs. Implementing monitoring, alerting, and OpenTelemetry tracing across the runtime, then using that visibility to drive optimizations that improve latency and reliability of the service. Working closely with the Firecracker, Deno, and other open-source teams, contributing to upstream and relaying our users' requirements. Participating in an on-call rotation to keep Compute healthy in production. Help manage and improve features like scheduled functions, background tasks, WebSockets streaming, ephemeral file storage, and custom routing. Integrating Compute more tightly with the rest of the Supabase stack — Auth, Postgres, Storage, and Realtime. Expanding the Compute runtime to support more use cases (AI inference, MCP servers, hosting simple websites, URL shorteners). Improving the DX of developing and debugging Compute locally through the Supabase CLI, including DevTools integration, logging, and production parity. What You’ll Bring At least 5 years of backe

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Software Engineer on Creator Services Data, you’ll be leading the company’s efforts to build the next generation Data Storage systems to power the millions of experiences on the Roblox Platform. We run the mission critical cloud services, Data Stores , Memory Stores , and Badges , which are crucial for storing game state such as inventory and scores, implementing leaderboards, server lists, and trading, and tracking player progress and achievements. Our team is also responsible for building dashboards to provide insights to Creators using cloud services including Client/Server Performance , Data Stores , and Memory Stores . Finally, our team owns the Roblox Extended Services platform, which provides the capability for large experiences to purchase additional resources for existing services like Data Stores and new services built around compute and generative AI. At its core, this team is focused on solving complex back end distributed systems and storage problems at scale. However, our scope extends to full stack projects spanning all the way from the infrastructure layer, through data storage and data pipelines, microservices, telemetry, game servers,

LilEngine is leading the Lakehouse, a company-strategic effort to make Apache Iceberg a first-class citizen in Spotify's data ecosystem. We're building it in close collaboration with Google, on open standards, so that different kinds of data are queryable the same way and teams can bring the right engine, from BigQuery to Dataflow to Trino, to the job. The work has two parts. Hecate enables Iceberg for the Parquet datasets that already exist across Spotify, so teams get the benefits without rewriting their data. Alongside it, we're building the foundations of a new Lakehouse architecture that lets workflows write Iceberg tables natively. We're shipping the MVP this cycle, and you'll help shape what comes next. We also own BigQuery for all of Spotify. Thousands of engineers, data scientists and pipelines depend on it every day, which puts us on the critical path for storing, finding and querying data. We're judged on reliability, cost efficiency and how quickly we unblock users when something breaks. This backend role sits where open table formats, cloud data warehouses and processing engines meet. What You'll Do Build and evolve the lakehouse: Help build the foundations that let data workflows read and write Iceberg tables directly, from this cycle's MVP to a production-grade platform. Drive adoption: Help migrate data pipelines from across Spotify onto the new stack, making the move as painless as possible through tooling, standards and hands-on support. Own BigQuery at Spotify scale: Manage reservations and capacity, build monitoring and anti-pattern detection, and develop tooling like the BigQuery MCP server so teams can use BigQuery well. Keep the platform healthy: Take part in a weekly support rotation and shared on-call. You'll debug production issues that span storage formats, catalog APIs, Kubernetes reconciliation, GCP IAM and BigQuery internals,

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 make sure Micron DRAM performs where it matters most: inside next-generation servers, client systems, and emerging compute platforms. Our team works at the intersection of memory technology, silicon behavior, platform architecture, firmware interaction, and system-level validation. We partner across engineering fields to bring new memory products from initial platform bring-up through qualification and readiness, helping develop the future of computing. In this role, you will validate Micron DRAM products on cutting-edge compute platforms and play a key role in ensuring system readiness before customer deployment. You will lead complex debug efforts, collaborate with internal teams and external platform partners, and use data-driven analysis to solve challenging technical issues. This hands-on position is ideal for an engineer who enjoys working in the lab, uncovering root causes, and driving issues through resolution. Responsibilities : Lead platform bring-up and system debug across server, client, and emerging compute platforms, including BIOS, firmware, memory training, and system stability Develop and implement memory validation plans to assess performance, compatibility, reliability, and platform readiness Drive failure analysis and root cause investigations, documenting findings, corrective actions, and readiness risks Partner with engineering, product, quality, and program teams to resolve technical issues and support pr

Join the MongoDB Server Query Optimization team, and help us build a world-class distributed open-source query optimizer. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, through parsing, optimization and plan selection. We have a presence across the US and Europe including New York, Dublin, Seattle, Palo Alto, and Chicago. We support office-based and remote work and align projects with convenient work hours for each time zone. We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. The team is endeavoring to systematically rewrite every major component of our optimization and execution systems. We need your help to design and build the heart of a distributed, flexible schema, document database. ​​This role can be based out of our US offices or remotely in the North America region. Candidate Profile 10+ years of experience in data management systems, distributed systems, or large-scale backend engineering Experience with building production-level code with a large user base, robust design structure and rigorous code quality Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system A strong foundation in core database internals is essential. While direct experience in query optimization is a massive bonus, it is not a prerequisite. We are also excited to meet candidates with strong backgrounds in compilers, language transpilers, or distributed storage systems Position Expectations Innovate in the area of flexible schema d

Join the MongoDB Server Query Optimization team, and help us build a world-class distributed open-source query optimizer. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, through parsing, optimization and plan selection. We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. The team is endeavoring to systematically rewrite every major component of our optimization and execution systems. We need your help to design and build the heart of a distributed, flexible schema, document database. This role can be based remotely in the U.S. or Canada, limited to Eastern or Central time zones only. Candidate Profile 5+ years of experience in data management systems, distributed systems, or large-scale backend engineering Experience with building production-level code with a large user base, robust design structure and rigorous code quality Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system A strong foundation in core database internals is essential. While direct experience in query optimization is a massive bonus, it is not a prerequisite. We are also excited to meet candidates with strong backgrounds in compilers, language transpilers, or distributed storage systems Position Expectations Innovate in the area of flexible schema databases. Help us build a world-class query optimization system Research state-of-the art query systems to inform our design Leverage deep knowledge of the strength and weakness of the product and o

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. Role Summary Lead hardware development for next-generation NAS and enterprise storage platforms, from architecture through production. You'll design high-performance storage hardware, solve complex system-level challenges, and deliver reliable, scalable products. Responsibilities Architect, design, and develop NAS and enterprise storage hardware platforms utilizing PCIe, SATA, NVMe, DDR4/DDR5, USB, and high-speed Ethernet interfaces. Own schematic capture, component selection, and PCB design reviews, ensuring SI/PI, manufacturability, and product reliability. Lead hardware bring-up, debugging, and system validation, including functional, performance, thermal, and EMI/EMC testing. Collaborate with firmware, BSP, SI/PI, DQA, mechanical, manufacturing, and software teams throughout product development. Investigate and resolve hardware issues while continuously improving product performance, reliability, and cost. Requirements Bachelor's or Master's degree in Electrical Engineering or a related field. 3+ years of hardware design experience in NAS, enterprise storage, server platforms, or storage appliances. Strong foundation in digital and analog circuit design. Experience with PCIe, DDR4/DDR5, SATA, NVMe, USB, Ethernet, and SerDes. Experience designing power delivery systems with a solid understanding of SI/PI, thermal design

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. Project Title Mechanical Hot-Plug Automation Solution for Solid-State Drive Validation Project Description Solid-state drive hot-plug capability enables a storage device to be connected to or disconnected from an operating server system. Evaluating this capability is an important part of understanding solid-state drive reliability and system behavior. This engineering internship project is intended to provide the intern with practical exposure to solid-state drive technology, server hardware, mechanical design, microcontroller integration, and test automation. The intern will develop and evaluate a mechanical automation solution that can perform controlled and repeatable hot-plug actions for multiple devices under test within an enterprise server environment. Through a structured project plan and technical guidance from engineers, the intern will apply engineering principles to progress from requirements definition and concept development to prototype integration, verification, and technical documentation. The project is developmental and project-based and is not intended to replace routine validation activities performed by regular employees. Objective of the Project The objective is to design and demonstrate a cost-effective mech

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. Role Scope Country-wide leadership of Japan Sales strategy, business performance, customers, organization and ecosystem engagement Role Summary The Japan Sales Director owns the overall sales strategy, business performance, customer engagement and organizational leadership for Micron in Japan. The role is accountable for translating Micron and Asia Sales priorities into a clear Japan growth strategy, delivering sustainable revenue and market-share expansion, and strengthening Micron’s position across strategic OEM, automotive, gaming, consumer, server, industrial, enterprise, cloud and channel ecosystems. This leader serves as the senior commercial voice for Japan, representing customer and market needs within Micron while aligning closely with Business Units, global and regional Sales, Customer Engineering, Commercial Strategy, Supply Chain, Pricing, Government Affairs and other cross-functional partners. The role leads the Japan Sales organization, builds future leadership capability and ensures disciplined execution in a dynamic memory market. Key Responsibilities • Own the Japan country

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to help our customers to be successful with MongoDB. We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. Cool things you’ll do You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. As an ideal candidate, you will have We consider all candidates with an eye for those who are self taught, curious, and multi-faceted. Our ideal TSE candidate should also have 6 plus years of experience Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, Storage, networking, clusters, and troubleshooting Should have a good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc.) Broad awareness of customer workloads and use cases, including performance, availability, and scalability Experience analyzing issues holistically, from the application tier through the dat

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. Micron’s DRAM Product Architecture Group partners across fabs, test, module, and system teams worldwide to deliver high-performance memory products. We work across geographies and functions to solve complex technical challenges, drive product innovation, and enable industry-leading DRAM solutions. Our team values collaboration, continuous learning, and making a measurable impact through engineering excellence. As a New College Graduate DRAM Yield & Quality Engineer, you will play a key role in monitoring and improving the health of Micron’s server DRAM products. Working with experienced engineers and cross-functional teams around the globe, you will analyze product and manufacturing data, investigate technical issues, and contribute to strategies that improve yield, quality, and performance throughout the product lifecycle. This is a highly visible role with direct impact on customer success and product reliability. Responsibilities Analyze silicon parametric, test, and manufacturing data to identify trends, resolve product issues, and support root cause investigations. Contribute to yield and quality improvement initiatives across new product introduction (NPI), qualification, ramp, and high-volume manufacturing. Collaborate with fab, test, module, quality, and operations teams to drive execution of product health objectives. Develop and maintain automation solutions to improve engineering efficiency, data analysis, and reporting. Apply AI, Agentic AI, and Generative AI tools to en