Backbone Systems jobs

Senior Frontend Infrastructure Engineer New York, United States Uniswap Labs builds products that help millions of people access DeFi simply and securely - from the Uniswap Web App and Wallet to crypto infrastructure like the Uniswap Trading API, and Unichain. Uniswap Labs also contributes to the development of the Uniswap Protocol, which has processed over $2.9 trillion in volume across thousands of tokens on Ethereum and 12+ other chains. When you join Uniswap, you become part of a team that's reshaping the way value flows on the internet. The Apps Infra team is the horizontal foundation that every product team at Uniswap builds on. We own the data layer, design systems, release and QA automation, UI libraries, and shared frontend services. We're product-centric at our core - the infra we build is always in service of the user experience, and we regularly contribute to product and design engineering work alongside our tooling and platform responsibilities. We also contribute heavily to AI-powered internal tools and automations that help the engineering org ship faster. We're looking for a senior engineer who goes deep: someone who can drive a large-scale migration one week, build an AI-powered CLI tool the next, and ship a polished UI component the week after that. You'll have strong opinions on tooling, care about developer experience, and treat product quality as the backbone of everything you build. Responsibilities - Own and evolve Uniswap's shared frontend infrastructure - design systems, UI component libraries, data-fetching layers (React Query), and notification systems

Staff Site Reliability Engineer – Automation and Platform Remote, California, United States; Sunnyvale, CA; Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role We are building a high-performance SRE function to support one of the world's fastest-growing AI inference services, powered by the Wafer-Scale Engine (WSE). This team will help deliver world-class, ultra-reliable inference infrastructure for leading model builders such as OpenAI and other frontier labs. As a Staff SRE, you will lead the engineering effort to eliminate toil at scale by driving implementation of self-service delivery pipelines, shared observability common tooling. This role starts

Crew Lead Electrician (Houston) Houston, TX, Houston, Texas, United States About Base Base is America's next-generation power company. We're rebuilding the foundation of modern civilization-electricity-by deploying a vast network of distributed batteries that is transforming today's fragile, centralized grid into a resilient and abundant system. We are engineers, operators, and creatives solving some of the most complex, interdisciplinary challenges of our time. About the Role Base is scaling the future of energy, and we're looking for a Journeyman Electrician who thrives in the field. You will be on-site daily-pulling wire, opening panels, troubleshooting real problems, and setting the standard through action. You are the technical backbone of our Houston, TX battery fleet. While you'll guide others, your primary value comes from doing the work yourself and doing it right. What You'll Do You will be actively involved in the field every day, including: - Hands-On System Diagnostics : Personally troubleshoot and repair complex electrical and battery system failures in the field. - Quality & Compliance: Perform rework to ensure installs pass inspection and meet internal quality benchmarks. - On-Site Authority Representation: Meet inspectors and AHJs in the field, walk installs with them, and resolve issues in real time. - Crew Mentorship: Onboard and provide hands-on training for new installation crews to maintain high performance. - Expert Oversight: Maintain deep mastery of Base hardware, NEC Codes, and general electrical principles. - Emergent Support: Participate in a scheduled on-call rotation to address urgent night/weekend electrical issues. What You'll Bring - Credentials: Valid

Wayfinding Strategist Multiple Locations

Founding AI Engineer San Francisco | OnSite About Uplane (YC F25) Companies waste billions on bad ads, mismatched landing pages, and poor budget allocation. Uplane fixes this by replacing a patchwork of agencies, spreadsheets, and siloed tools with one self-improving AI system. It creates ads, builds matching landing pages, allocates budgets across different channels, and more. We are building the AI engine that will manage and spend the world's marketing budget. About The Role We're seeking a highly skilled and proactive AI Software Engineer to join our team full-time, on-site in San Francisco. This role offers an excellent chance to take full ownership of features from concept to deployment within an early-stage startup setting. Why Join - Be one of the first employees at a well-funded startup - Solve a massive problem in a massive market - Take ownership and grow quickly - Culture: fast-moving, ambitious, fun, humble Responsibilities - Build AI systems with LangGraph: Design, build, and maintain scalable AI systems with LangGraph and TypeScript to create automated marketing campaigns. - Design Data Backbone: Work on the data analytics infrastructure that will allow AI agents to get smarter over time. - System Architecture: Architect and manage robust database schemas with PostgreSQL and Supabase, ensuring data integrity and performance. - Product Ownership: Own projects across the full lifecycle, including concept development, implementation, deployment, and ongoing maintenance. - User-Centric Design: Apply sound product and design judgment to build user-centric software features aligned with current market and customer needs. - Collaboration: Collaborate

Research Engineer / Scientist (SLAM) San Francisco About World Labs: We build foundational world models that can perceive, generate, reason, and interact with the 3D world - unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating. We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds. We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology - from AI research to systems engineering to product design - creating a tight feedback loop between our cutting-edge research and products that empower our users. Role Overview We're looking for a SLAM Specialist to design, implement, and advance state-of-the-art simultaneous localization and mapping systems that enable accurate, robust spatial understanding from real-world sensor data. This role is focused on modern SLAM techniques-both classical and learning-based-with an emphasis on scalable state estimation, sensor fusion, and long-term mapping in complex, dynamic environments. This is a hands-on, research-driven role for someone who enjoys working at the intersection of robotics, computer vision, and probabilistic inference. You'll collaborate closely with research scientists, ML engineers, and systems teams to translate cutting-edge SLAM ideas into production-ready capabilities that form the backbone of our world modeling stack. What You Will Do: - Design and implement modern SLAM systems for real-world environments, including visual, visual-inertial, lidar, or multi-sensor configurations. - Develop robust localization and mapping pipelines, including pose estimation, map management, loop closure,

Lead Solutions Architect Munich, Germany FEQ427R168 At Databricks, our core values are at the heart of everything we do. Creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. As a recognised thought leader, you will be measured by your impact and contributions to impactful initiatives, such as leading SME teams and delivering regular presentations at conferences and industry events. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: - Lead and manage complex enterprise and strategic customer accounts, ensuring exceptional customer satisfaction and value delivery. - Serve as a role model within Field Engineering, embodying Databricks' core principles and acting as a recognised leader. - Collaborate with Field Engineering leadership to mentor and guide the development of Solutions Architects and Senior SAs, fostering team growth. - Enhance Databricks' technical community presence by developing impactful customer-facing materials and leading workshops, seminars, and industry events. - Contribute to the development and

Gruppenleiter CDH DevOps und Product Owner "Deployments and Initial Load"-Team Customer Data Hub (m/ Düsseldorf, Germany

Senior Manager, Order Management – Partnership NPI & Automation San Francisco, CA | New York City, NY | Seattle, WA 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 We're seeking an experienced Order Management and Quote-to-Cash professional to lead our third-party marketplace operations and drive automation across the order lifecycle. In this pivotal role, you'll own the operational backbone of how our products are transacted through cloud marketplaces, scale the systems and processes that support new product introductions, and solve complex, cross-functional challenges that sit at the intersection of finance, engineering, and go-to-market. You'll partner across the organization-and with external marketplace teams-to build financial infrastructure that scales with a rapidly growing business. If you're passionate about making a significant impact at an innovative company at the forefront of AI development, join us in our mission to build cutting-edge, safe AI systems. Key responsibilities Third-Party Marketplace Operations - Own end-to-end order management operations across third-party cloud marketplaces (AWS, GCP, Azure), ensuring accuracy, completeness, and timeliness of provisioning and transactions - Manage private offer creation, pricing configuration, and offer lifecycle across marketplace platforms, resolving non-standard pricing structures and contract modifications - Serve as the operational point of contact with external marketplace teams, coordinating onboarding,

Director, Engineering Governance- Mountain View, CA Mountain View, California P-1494 Databricks is the Lakehouse company. More than 7,000 organizations worldwide - including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 - rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems. To learn more, follow Databricks on Twitter, LinkedIn, andFacebook. For more information, visit www.databricks.com . About the Team We are seeking a highly technical and influential Director of Engineering, Governance Foundation to define how security, privacy, and responsible data practices are built into the core of Databricks' products and infrastructure. This role is not simply about running programs-it is about designing and scaling the engineering platforms, guardrails, and operating models that make secure and compliant product development the default across a rapidly growing, multi-cloud ecosystem. This is a strategic, hands-on technical leadership role with significant cross-company impact. You will lead a team of senior security engineers, partner with product and infrastructure leaders, and shape the foundational governance systems that enable Databricks to innovate quickly while maintaining world-class security and customer trust. What You'll Own Security & Privacy Governance Architecture - Define the company-wide strategy for embedding security, privacy, and responsible data use across engineering workflows and platform components. - Build scalable governance frameworks that help engineering

Senior Infrastructure Engineer New York, NY, United States, Remote About Polymarket Polymarket is the world's largest prediction market platform. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized "house," Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future. We're growing fast, both in terms of volume ($21B traded in 2025) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire. About the Role Polymarket is looking for a world-class infrastructure engineer to join our DeFi team and help scale the systems that power our trading platform. You'll be responsible for designing, building, and maintaining the backbone of our engineering platform: from developer workflows and CI/CD pipelines to core infrastructure supporting the high-performance APIs, data services, and real-time trading systems at the heart of what we do. You'll have the autonomy to make big technical decisions, drive system architecture, and implement solutions that balance speed, reliability, and long-term maintainability in one of the most demanding technical environments in crypto. What You'll Do - Build and automate development workflows. Design and maintain infrastructure that standardizes how we develop, version, test, and deploy software across environments. - Architect scalable systems. Make thoughtful architectural decisions and tradeoffs, balancing risk, performance, cost, and maintainability across the DeFi trading stack.

Staff Full Stack Engineer, Platform San Diego, CA Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth. POSITION SUMMARY: We are looking for a staff full-stack engineer whose core strength is backend systems and infrastructure. You will own the platform that ingests, processes, stores, and serves large volumes of video and sensor data. The primary data sources are edge/IoT devices operating in the field. You need to understand how to design systems that work reliably under those conditions. You care about reliability, scalability, and cost efficiency, and you are comfortable making architectural decisions early when requirements are still evolving. Privacy and security engineering is a first-class concern for this product, and you will own that infrastructure. If you have ML engineering experience, there are opportunities to apply it - but it is not required. This is a small, early-stage team. You will design systems from scratch, make foundational architecture choices, and own entire subsystems end-to-end ESSENTIAL FUNCTIONS: - Device-to-cloud data platform: the systems that receive data from edge devices in the field, process it, store it efficiently, and make it queryable. This includes handling store-and-forward uploads, media pipelines, metadata indexing, tiered storage, and APIs that serve rich content to

Principal Software Engineer, Data Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Join us in shaping the future of science! We are seeking Principal Software Engineers with backend experience to join our Data Platform Team (Data), where you'll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you! About The Team The Data Platform Team (Data) builds and support the data systems that underpins Lila's AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter. What You'll Be Building - Design & Build APIs: Design and build high-performance, secure, and well-documented APIs that integrate with AI-driven applications. - Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability. - Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads. - Cloud & Infrastructure: Leverage AWS services, Kubernetes and

Data Architect Warminster, Wiltshire posted: Posted 2 Days Ago

Mechanical Harness Engineer US - Remote AST SpaceMobile is building the first and only global cellular broadband network in space to operate directly with standard, unmodified mobile devices based on our extensive IP and patent portfolio and designed for both commercial and government applications. Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by today's five billion mobile subscribers and finally bring broadband to the billions who remain unconnected. Position Overview We are seeking a highly skilled and detail-oriented Mechanical Harness Engineer to join our dynamic team working on state-of-the-art Low Earth Orbit (LEO) satellite systems. In this role, you will design, develop, and integrate electrical harnesses that form the backbone of the satellite's electrical system, ensuring reliable and efficient power and data transfer for successful missions. Key Responsibilities - Design and develop electrical harnesses for LEO satellite systems, considering mission requirements, space constraints, thermal considerations, and EMC requirements. - Collaborate with system engineers, electrical designers, and mechanical engineers to define harness specifications and design constraints. - Create and manage detailed harness drawings, including cable/wire routing, connector selection, splicing, and termination plans using CAD tools. - Ensure compliance with industry standards (e.g., IPC-WHMA-A-620, ECSS-E-HB-10-10) and space agency requirements. - Conduct analyses and simulations to verify mechanical integrity, electrical performance, and environmental resistance. - Support fabrication, assembly, and testing of harnesses, providing guidance to ensure quality and adherence to specifications. - Perform in-house testing and validation, including continuity checks, insulation resistance, and signal integrity testing.

Software Development Engineer II, Aurora, Aurora Storage Bengaluru, Karnataka, IND AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Build the storage backbone powering millions of databases worldwide. Join Aurora Storage's Fabric team to architect foundational systems that ensure excellence for Amazon's cloud-native database service used by customers globally. As an SDE on the Aurora Storage Fabric team, you'll design and build critical infrastructure that keeps Aurora running at scale-from intelligent volume placement and auto-scaling to health monitoring and storage repair systems. You'll work on challenging distributed systems problems that directly impact AWS customers' database reliability and performance. This role offers the opportunity to innovate on next-generation storage platforms while collaborating with senior technical leaders and principal engineers who are shaping the future of cloud databases. What makes this role exciting: Massive impact: Your code will support the storage layer for one of AWS's fastest-growing database services Technical depth: Solve complex distributed systems challenges involving petabyte-scale storage, automated healing, and intelligent resource management Innovation focus: Help build the modern, cost-efficient foundational platform that enables Aurora's next

Solutions Architect (Lakebase) Melbourne, Australia; Sydney, Australia FEQ327R242 Mission The Solutions Architect (Lakebase) team executes on Databricks' strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way. The Lakebase product-line requires the following core technical competencies: - 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. - Credibility in influencing OLTP products with the market insight needed to shape and

GNC System Development Engineer, Prime Air Seattle, Washington, USA Amazon Prime Air is seeking a Systems Development Engineer II to join the Drone Guidance, Navigation & Controls (GNC) team as a DO-178C Requirements and Verification Engineer. In this role, you will be a key individual contributor responsible for developing the software requirements, architecture documentation, interface control documents, and verification evidence that form the backbone of Prime Air's DO-178C-compliant software lifecycle. The ideal candidate brings software development experience background and applies that knowledge to the requirements and verification artifacts that govern how that code is built and tested. You will also develop software tools to support simulation, test automation, and analysis, bridging the gap between requirements engineering and the software development team. You operate with moderate autonomy, own your assigned work products end-to-end, and collaborate closely with the tech lead and senior engineers to ensure your artifacts meet DO-178C objectives and certification standards. Key job responsibilities - Work on guidance and navigation and control algorithm software. - Develop High and Low level software requirements, capturing functional, performance, and safety requirements for GNC software components in compliance with DO-178C planning and development objectives - Author software architecture documents describing the structure, components, interfaces, and data flows of GNC software modules, ensuring architectural decisions are traceable to requirements - Develop Interface Control Documents (ICDs) defining software-to-software and software-to-hardware interfaces for GNC components, coordinating with hardware and systems engineering teams to ensure consistency - Develop verification evidence including test cases and test procedures for

Databricks Developer Ashburn, VA posted: Posted 30+ Days Ago

PhD Student : Agentic AI : Knowledge Graphs, LLMs & Autonomous Query Reasoning F/M Region Europe | Country France | Internal Posting Location Mougins We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build In this role, you'll design and implement a next-generation agentic AI system that integrates Knowledge Graphs (KG), Large Language Models (LLMs), and autonomous agents to power sophisticated SAP service and support capabilities. You'll construct a rich, multi-source knowledge graph - grounded in RDF standards and a formally defined ontology - by ingesting and connecting heterogeneous SAP data: SAP Notes, Help Documentation, System Alerts, Application Components, and SimCat taxonomies, as well as structured product and software lifecycle metadata from the PPMS ontology (ProductLine, Product, ProductVersion, SoftwareComponent, SupportPackage, and related entities). This semantically structured graph forms the backbone of an intelligent support system. Building on the KG, you'll develop LLM-powered agents capable of reasoning over interconnected knowledge and translating complex natural language queries into SPARQL - enabling precise, explainable retrieval over the en

Systems Architect Tampa posted: Posted 30+ Days Ago

Satellite Test Hardware Engineer, Integrated Vehicle Test Team Redmond, Washington, USA Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. We are looking for an experienced Test Hardware Development Engineer to help architect innovative test infrastructure to improve and optimize Amazon Leo's satellite level test systems . Our team is responsible for core infrastructure and tools that serve as the backbone for automated satellite testing operations. In this role, you will bridge hardware and systems engineering with hands-on lab and test development capabilities. You will lead the design, build, and deployment of test hardware across Amazon Leo's vehicle integration venues, contribute to infrastructure planning, and directly support ground systems involving RF, networking, mechanical interfaces, and electrical systems. The ideal candidate brings a strong foundation in electrical engineering, is comfortable in hands-on lab environments, and can work across teams to scale test operations in a fast-paced development and production settings. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities - Architect, design, and implement test rack and bench-top hardware platforms to support satellite integration and test - Lead

Manager, Services Portfolio Manager, Services Portfolio

Data Architecture – Advisor II Berkeley Heights, New Jersey posted: Posted 2 Days Ago