Storage Server And Engineering Jobs

About the Team DashMart Kitchens (DMK) is a dedicated culinary team operating within a shared DashMart facility. While we work inside a DashMart building, we are a specialized team focused on preparing high-quality meals for customers ordering through the DoorDash app. We work side-by-side with our DashMart partners to deliver a seamless customer experience — supporting both kitchen execution and shared facility standards. We operate as one team within four walls, collaborating to ensure operational excellence, food quality, and a clean, organized environment. Shifts: Morning, Day, Evening, Weekend, Part-Time About the Role As a Kitchen Operations Associate , you are responsible for preparing meals to standard, maintaining kitchen and warehouse organization, and supporting order fulfillment within a shared facility environment. What You’ll Do: Meal Preparation & Quality Prepare and assemble menu items according to brand and food safety standards Ensure every meal meets quality, accuracy, and presentation standards before handoff Follow all food safety, cleanliness, and dress code compliance guidelines Warehouse & Kitchen Organization Maintain organized dry, refrigerated, and frozen storage areas Follow cleanliness and sanitation standards across shared workspaces Support inventory organization and proper product rotation (FIFO) Facility Support Collaborate with DashMart Operations Associates to maintain a cohesive and efficient site Assist with light operational tasks as needed to support overall facility success Uphold a “One Team” mindset to create a positive experience for all team members and customers You're excited about this opportunity because... You enjoy working with food and have a passion for culinary execution and quality while maintaining food safety You want to be part of a dedicated kitchen team operating within a fast-paced fulfillment environment Market competitive pay (10pm–6am will receive a $2 increase in pay) AM/PM/Overnight shift

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The IT Operations team keeps Anthropic running. We make sure every employee can do their best work without friction. We're hiring an IT Operations Engineer to develop our global asset management and hardware lifecycle program across our offices in San Francisco, New York, Seattle, London, Dublin and Sydney. You will bring program expertise to how we track hardware as inventory through its whole life: procurement and receiving, the inventory of record, assignment, refresh, collection and recovery, e-waste and secure disposal, and reseller relationships, iterating and scaling practices as we mature. The same person runs day-to-day operations for our corporate mobile program in addition to expertise in management of laptop and workstation lifecycle operations. You'll partner with several teams within the IT, Security and business operations organizations: IT Hardware Ops runs procurement, fleet logistics, onboarding and offboarding, the storage room, and physical intake. The Endpoint pod owns MDM, device policy and enrollment. Finance owns the budget and vendor contracts. Hardware requests that come through the IT Support queue land with the IT Support team, and you'll help define how they are handled. Responsibilities Strategy and Tooling Develop the global asset management strategy: the lifecycle model, the data we keep on every device, and how each office executes against it Select, implement and administer the asset management tool, define its data model and integrations, and partner with IT Engineering where the work needs platform-level access Contribute to and develop the processes on-site engineers in each office e

About the Team The Compute & Infrastructure Strategy team handles strategy and execution of OpenAI’s compute roadmap. This team’s key responsibilities span financial analysis & reporting, capacity planning, commercial and business development, and strategic partnerships. We partner across the business to allocate and deploy our resources for the highest impact outcomes. About the Role Compute is central to OpenAI’s roadmap and vision. We are seeking a candidate to support financial and strategic work across our compute and infrastructure portfolio. This is a finance generalist role that includes core FP&A responsibilities as well as having the ability to understand investment analysis, commercial decision support, and strategic planning. You will partner closely with deal teams, technical and finance teams, Corporate FP&A and help shape decisions about how OpenAI invests in and manages compute. In this role, own and drive all financial planning, forecasting & close processes for the Compute & Infrastructure org by partnering with various stakeholders across Finance, Accounting, Tax and Engineering. You will play a critical role in planning and forecasting the company’s largest and most complex cost center ( Compute & Infrastructure ) In this role, you will: Support & scale all FP&A functions including planning, forecasting, close, budgeting, reporting, and variance analysis across compute and infrastructure Build and maintain driver based high level financial models across different elements of compute, including GPUs, CPUs, storage, networking, data centers, and power to support rapid / iterative short term and long term planning. Consolidate various investment analysis across programs and create high-quality analyses, recommendations, and Exec and Board-facing presentations Support business partners across compute infrastructure, FP&A, and strategic finance Drive the improvement of the team’s processes, tools, and ways of wo

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: The Materials Management organization is a crucial part of data center operations, managing all critical materials to build and operate the world’s largest supercomputer clusters. Our goal is to become a leader in inventory performance with high accuracy and efficiency. The Manager will be responsible for managing day-to-day activities and exceeding customer expectations by leading continuous improvement. RESPONSIBILITIES: Perform administrative duties, including but not limited to reviewing timecard compliance, scheduling, periodic reviews, supply ordering, one-on-one mentoring and training of direct reports. Support and maintain operational targets and objectives for fulfillment, distribution, and storage centers. Strategy – Understand the processes, procedures, and needs of the business to develop strategy, business metrics, and goals to guide the organization in the direction needed. Leadership – Manage a multi-level deep organization, consisting of both hourly and salary individuals across 4 shift patterns that support 24/7 operations; assess employee performance, provide positive/constructive feedback, facilitate conflict resolution, and address repeat issu

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 Infrastructure organization enables Reddit to deliver reliability, performance, and efficiency with a single opinionated technology stack. The Ingestion Platform team within Infrastructure builds a low-code interface for moving data from supported sources to supported sinks, making it easier for teams across Reddit to create reliable, scalable data pipelines without building and operating bespoke infrastructure. Our platform supports streaming and batch data movement from Kafka to destinations such as BigQuery and object storage, and is expanding toward S3/GCS, Apache Iceberg, transformations, deduplication, and additional sinks. We work closely with Data Pipelines, Data Movement, Ads Data Platform, ML Indexing, Flink Platform, Storage, and other partner teams to improve developer velocity, reliability, observability, and operational efficiency. We are looking to hire a Staff Software Engineer to help shape and scale this platform. This is a high-impact role where your technical judgment, customer empathy, and operational mindset will influence the future direction of data movement at Reddit. What You’ll Do: As a Staff Engineer, you will lead the development and evolution of Reddit’s Ingestion Platform. Design, write, and deliver reliable software for distributed data movement across streaming and batch workloads, with a focus on availability, scalability, latency, correctness, and cost efficiency. Own the architecture and evolution of the platform’s control plane and data plane, includ

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: As a member of the Global Technical Operations (TechOps), you will be a part of a team that focuses on operational reliability within a cloud-based infrastructure. You have hands-on cloud experience in architecting, building, deploying, managing databases, compute instances, and storage buckets. You have a passion for providing solutions through automation. You know that success is through collaboration and communication. What you'll be doing: Work in cross-functional teams to develop solutions and identify opportunities to bring efficiency and effectiveness. Research, evaluate, and incorporate new technologies/concepts into existing frameworks. Proactively identify areas to improve efficiency and effectiveness, recommend and implement solutions towards them. Develop and innovate operational practices, procedures for workflows, and documentation. Implement and contribute to IT security best practices. Automate tasks to ensure consistency and speed of deployment. Identify, analyze, and troubleshoot issues and work towards resolution. Explain technical solutions to bo

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise-scale data transformation across a broad range of projects. Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks . As part of a team, you will implement world-class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks. As a hands-on technologist with an extensive data engineering background using Databricks , you will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life-long learning and collaboration. What you'll be doing: Design, build, test and maintain data pipelines (ELT), according to business and technical requirements. Implement secure platforms

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Quality Control Intern – Hardware Bengaluru, Karnataka, India Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we're looking for exceptional talent to reimagine the way the world works. Role Overview The Quality Control Intern – Hardware is the checkpoint every recording rig passes through, in both directions. When rigs return from the field, you inspect their condition, run a functional check, and capture a short test recording that you review to confirm the cameras, footage, audio, and storage are all working. Before any rig goes back out, you give the final sign-off that it is field-ready. This is a small role with an outsized impact: a rig that leaves your desk in a bad state means a Field Officer travels to a business, records for hours, and returns with unusable or missing data — a full day lost, and sometimes a burned business relationship. Your job is to make sure that never happens. Precision, consistency, and discipline are the whole game here. What You'll Own Nothing goes to field without your approval; nothing comes back without your inspection and log. You are the last line of defense on rig quality before it reaches a business. Key Responsibilities 1

Job Details: Job Description: About the Role The CEG NAG (Networking Architecture Group) is Intel's premier team focused on defining the future of high-performance networking silicon. Our team architects next-generation networking solutions that enable hyperscale data centers, cloud infrastructure, and AI workloads to achieve unprecedented performance and efficiency. We specialize in IPU/DPU platforms, advanced packet processing architectures, and programmable networking technologies that form the backbone of modern distributed computing systems. We are seeking a Senior SoC Compute & Memory Architect to define and drive the architecture of compute complexes and high-performance memory subsystems for next-generation IPU/DPU platforms. This role is responsible for end-to-end architecture of CPU clusters, cache hierarchies, coherency models, and memory subsystems. You will optimize system-level performance, scalability, power efficiency, and programmability while ensuring seamless interaction with networking, storage, and accelerator subsystems in hyperscale environments. What You’ll Do Key responsibilities will include but not limited to: Cache Hierarchy and Coherency Architecture 1. Define and evolve multi-level cache hierarchy (private/shared caches, system-level cache). 2. Architect coherency models across compute cores, accelerators, and IO subsystems (coherent vs non-coherent interactions). 3. Evaluate tradeoffs between latency, bandwidth, scalability, and coherence domain complexity. Memory Subsystem Architecture 1. Architect system memory subsystems including: -DDR / LPDDR interfaces. -Memory controllers and scheduling policies. -Bandwidth provisioning and scaling strategies. 2. Work with Perfo

About the Team The ChatGPT organization at OpenAI supports our mission by bringing advanced AI capabilities to hundreds of millions of users worldwide. The Image Generation team is responsible for one of the fastest-growing experiences in ChatGPT, enabling users to create, edit, and transform images through natural language. Recent advances in our multimodal image models have dramatically improved image quality, instruction following, editing precision, consistency, and text rendering, unlocking entirely new creative and professional workflows. We work at the intersection of research, infrastructure, and product to build the systems that power image generation at global scale. Our team partners closely with researchers, product engineers, designers, and platform teams to bring state-of-the-art image capabilities to millions of users while continuously pushing the boundaries of what AI-powered creation can do. About the Role We are looking for an experienced Backend Engineer to join the Image Generation team and help build the systems that power image creation and editing across ChatGPT. You'll work on the core backend infrastructure that enables users to generate, edit, and iterate on visual content using cutting-edge multimodal AI models. This includes building highly scalable services, orchestration systems, APIs, storage platforms, and distributed infrastructure that support billions of image generations and editing workflows. You'll partner closely with product, research, and mobile teams to transform breakthrough AI capabilities into reliable, performant experiences used by millions around the world. In this role, you will: Design, build, and operate backend systems that power image generation and image editing experiences in ChatGPT. Develop scalable APIs, services, and infrastructure that support multimodal AI workflows. Optimize reliability, latency, throughput, and cost across large-scale distributed systems. Partner with researchers to productionize new im

Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. What you'll do Take on ownership of the cloud platform infra layer that powers Lab37's robotics fleet. This spans building Cloud infra, ML, ETL, CI/CD pipelines that turn raw robot telemetry into actionable analytics, managing data discovery, data lineage and contributing to models training pipelines on our robots, and ensuring the observability and reliability of the entire data stack. Work with a small, high-impact platform team to build the systems that every product team at Lab37 consumes — from data scientists training models, to kitchen operations teams viewing dashboards, to engineers deploying new ML models to robots in the field. Responsibilities Design, build, and maintain scalable ML infrastructure that abstracts away underlying storage, pipeline management, and repetitive environment setup tasks. Implement robust systems for automated model checkpointing, persistent metadata management, and experiment tracking across distributed training runs. Create self-service ML workflows and tooling that empower ML engineers and data scientists to focus on core logic, model architecture, and validation. Build and maintain automated ETL and data ingestion pipelines that stream and transform raw robot telemetry into clean datasets for training and analytics. Contribute to infrastructure-as-code (Terraform) and CI/CD automation for model deployment, data processing, and cloud services. Partner with cloud and embedded engineers to streamline model deployment to fleets of robots in the field and participate i

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. Ubiquiti Prague office is looking for talented Backend developer for the UniFi Team. You’ll be working on the UniFi application back-end to develop efficient, scalable and maintainable features. This role requires working from our Prague office at least two days per week. The project stack: Kotlin; Spring Boot 4.0; PostgreSQL; Github Actions; Go. Responsibilities: REST API development Develop integrations with network device firmware and other UniFi OS applications. Participate in all phases of development, including feature design and testing. Code reviews for other team members. Requirements: Senior-level engineering experience, typically 5+ years shipping production systems. Strong problem-solving and systems thinking - you can break down ambiguous problems and design good solutions. Good understanding of SOLID principles. Experience in web application development. Daily, fluent use of AI coding assistants as a core part of your workflow. Fluent in English and Czech. Nice to have: Kotlin and Spring framework knowledge. Advanced knowledge of networking. Familiarity with networking, virtualization, storage and HW in general. Experience with Bash and Unix. Benefits​: Competitive salary, 5 weeks of vacation per year. Discretionary bonuses based on individual performance

Location Qualifications: This role is available for hybrid work (2 days in office) from our office in Bucharest. About the position As a Backend Engineer, you'll be pivotal in crafting innovative solutions that transform the creation, organization, and distribution of sales content. Catering to Sales Enablement specialists and Marketing Content Owners, you'll harness cutting-edge technologies to continuously elevate our platform, maximizing its impact on our users. Your role will involve not just expanding and refining our codebase, but also driving innovation for new features. You’ll take full ownership, writing functional, automated, and scalable code that operates seamlessly within our cloud infrastructure and is efficiently monitored. Key Responsibilities Develop high-throughput, maintainable backend services and API integrations using Node.js, TypeScript , or Go. Design cloud-native microservices and serverless workflows optimized for resilience, speed, and cost efficiency. Take features from design and technical RFCs through development, automated testing, CI/CD, and production deployment. Lead impactful code reviews, mentor teammates, and refine operational standards like observability, telemetry, and alerting. Identify bottlenecks across storage, databases, and network layers to keep platform latency minimal as we scale. Required Skills 3+ years of hands-on experience building production-grade backend systems. Strong proficiency in at least one modern language/runtime: TypeScript, Node.js, or Go. Experience architecting and deploying services on AWS (e.g., Lambda, ECS/EKS, DynamoDB, SQS/SNS, RDS). Practical understanding of distributed systems, API design (REST/GraphQL/gRPC), caching strategies, and telemetry (Datadog, OpenTelemetry, etc.). Strong commitment to automated testing (unit, integration, e2e) and continuous deployment practices. Excellent asynchronous communication skills and a preference for building iteratively in agile environments. Comp

RDQ427R70 Our mission at Databricks is to radically simplify the data lifecycle with a unified Lakehouse platform for data engineering, analytics, and AI. The Lakehouse addresses major challenges in enterprise data platforms, including reliability, data staleness, operational complexity, total cost of ownership, and data lock-in. Learn more about the Lakehouse architecture. Lakeflow is a critical part of this vision, helping customers build and operate streaming and batch ETL pipelines that power business-critical data products. As these workloads become increasingly mission-critical, customers need them to continue operating through infrastructure failures and cloud-region outages. As a Staff Engineer on the part of the Lakeflow Disaster Recovery team, you will design and implement distributed systems that replicate and recover pipelines across regions. A pipeline is more than source code and output tables: it includes streaming checkpoints, source offsets, stateful operator state, table versions, transaction metadata, schedules, and dependencies across a dataflow graph. You will solve challenging problems involving consistency, idempotency, causal ordering, failover, failback, and safe recovery without silent data loss or duplication. You will work in one or more of the following areas: Cross-region replication and recovery for Lakeflow pipelines, streaming tables, and materialized views Distributed consistency across pipeline dependencies, table versions, and transaction logs Failover and failback workflows with conservative correctness guardrails Deep clone, metadata reconciliation, observability, and failure-injection testing High-fidelity recovery simulations, game-day testing, and formal reasoning about failure modes What we look for: A passion for distributed systems, databases, storage systems, streaming systems, or reliability engineering Strong software engineering skills in Java, Scala, C++, Go, Python, or a similar production language Understandin

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. Senior Full-Stack AI Engineer, IPAI, SMAI Job Summary Join Micron's AI Revolution in Smart Manufacturing Be part of a groundbreaking transformation as Micron accelerates the future of AI-driven manufacturing. As a Senior Full-Stack AI Engineer , you will architect, build, and deploy cutting-edge AI applications that power smarter, faster, and more autonomous operations across Micron's global network of semiconductor fabs and assembly/test facilities. Working at the intersection of Artificial Intelligence, Software Engineering, and Advanced Manufacturing , you will collaborate with data scientists, engineers, and business stakeholders to develop scalable machine learning solutions, modern web applications, APIs, and intelligent automation platforms. Your work will directly influence how the world's most advanced memory and storage products are manufactured, driving efficiency, quality, and innovation at a global scale. Main Responsibilities Design and build end-to-end AI solutions, including data ingestion pipelines, feature engineering, model training and inference, APIs, web applications, and observability capabilities. Architect and develop scalable full-stack AI applications usin