Infrastructure Network And Supply Engineer Jobs

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 UX research at Anthropic works across products used by millions of people, on interactions that don't have established conventions yet. We inform critical decisions through rigorous research, working closely with curious, open-minded stakeholders who are eager to learn along with us. We combine qualitative and quantitative methods to understand user needs in a space that's evolving faster than anyone can track. We move fast, favor impact over polish, and increasingly build our own tools, deeply leveraging Claude to do research at the speed and rigor this environment demands. This role is on the Platform research team, embedded in Anthropic's Platform organization, which comprises the API, the agent and connector infrastructure developers build on top of it, and the Console, SDKs, and documentation they use to do it. A large share of what gets built with Claude is built on this platform, including many of Anthropic's own products, and the people who use it range from individual developers to the largest enterprises. The teams that build the platform are deeply technical, move quickly, and are deeply curious about and engaged with users. User research's job here is to give them a deeper and more systematic understanding of those users than they can get on their own, and to help the organization decide what to build for them next. This is a senior individual-contributor role with a great deal of autonomy. You'll work with the rest of the Platform user research team and with Platform's leaders to decide where research can make the biggest difference, and then lead that work yourself. Key responsibilities Work with Platform'

About BlockTech BlockTech is a fast-paced algorithmic trading firm trading crypto derivatives and spot across global venues, 24/7, with our own capital. Crypto is one of the few markets where a researcher can still move the edge. The data is abundant, the microstructure is novel, and the loop between an idea and live PnL is short. High-frequency options trading is where we're strongest, and we're widening our scope to include more mid-frequency work. We're looking for a senior Quantitative Researcher with a mid-frequency background to join our Amsterdam trading floor. The role You'll be in charge of developing our mid-frequency capabilities, owning the research agenda end to end, from hypothesis and dataset construction through model training and backtesting to live deployment. You'll sit with traders, researchers, and analysts, and raise the bar for research across the floor. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 3+ years of quantitative research experience at a hedge fund, trading firm, or similar, with mid-frequency models you've taken live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, or computer science) Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep grasp of overfitting, validation design, and feature engineering. You can explain why a model works, not just that it does Software engineering instincts: you write product

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 Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security and control commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward continuous assurance, to challenge and evidence the performance of controls continuously rather than through periodic audits. As Anthropic scales to meet public-company standards, the Sarbanes-Oxley (SOX) control environment over our technology stack is one of the most consequential things this team owns. As part of Security GRC's technical controls assurance function, you will be the voice on what the IT general controls must achieve to support SOX 404 compliance. In partnership with Internal Audit, you will define control requirements and acceptance criteria for the in-scope engineering systems and infrastructure that underpin financial reporting. You will pair with engineering as they design and implement against those requirements, and validate that what ships actually meets the bar before Internal Audit and our external auditors test it. You are the product owner for control design methodology and continuous control monitoring, initially around ITGCs, but extending into other areas of security and compliance to drive visibility where and when we need it. Key responsibilities Define control requirements and acceptance criteria across the core ITGC domains of logical access, change management, computer operations, and program development for SOX in-scope systems, in

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC. Join Our Team... At GoDaddy, we're building the next generation of AI and machine learning capabilities that power experiences for millions of entrepreneurs worldwide. Our Machine Learning Engineering team bridges the gap between research and production, transforming cutting-edge models into scalable, reliable, and observable services that operate at global scale. We're looking for a Staff Software Engineer to lead the design and evolution of the infrastructure, platforms, and services that enable machine learning models to run in production. This is a highly technical, hands-on role where you'll work closely with ML Scientists, Data Engineers, and Product teams to deliver robust ML-powered solutions while helping shape the future of our machine learning platform. As a senior technical leader, you'll influence architecture, drive engineering excellence, and mentor engineers across a globally distributed team. What you'll get to do... Experience deploying and operating machine learning or generative AI workloads using technologies such as vLLM, Triton, TorchServe, SageMaker Endpoints, or similar serving frameworks. Familiarity with modern observability practices and tools including OpenTelemetry, Prometheus, Grafana, and CloudWatch. Experience with vector databases, feature stores, caching technologies (Valkey/Redis), and infrastructure-as-code solutions

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About this role At Sentry, Finance plays a critical role in helping the company understand where we are, where we're going, and how to make better decisions along the way. We are looking for a Director of FP&A to build and own the core financial planning and operating rhythms for the company. You will lead company-wide forecasting and planning, management and Board reporting, headcount planning, and FP&A's partnership with Accounting during the close. You will also be a senior business partner to leaders across Sentry, helping translate company strategy into financial plans and operating decisions. This is a hands-on leadership role. Many of the processes you will own are being rebuilt, so we're looking for someone who has designed great FP&A processes—not just inherited and operated them. You'll be expected to get into the details, build where necessary, and quickly develop enough context and trust to run your areas with a high degree of independence. You will report to the VP of Finance & Strategy and manage an FP&A Manager focused on company spend, including cloud and AI infrastructure costs. In this role you will Own Sentry's company-wide forecasting, annual planning, and long-range planning processes, including the consolidated financial model and corporate roll-up. Build a clear and repeatable operating cadence around forecasts, budget-to-actual performance, variance analysis, and communication of financial results. Partner closely with Accounting during the monthly and quarterly close, providing accrual inputs, budget-to-actual analysis, and variance explanations while Accounting retains ownership

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Toast is looking for a hands-on Staff Software Engineer to join the GTM & AI Strategy Engineering team. In this role, you will be a primary builder of 0-to-1 tools designed to revolutionize how our sales teams operate. This isn't about maintaining legacy systems; it’s about writing the code and building the intelligence models that eliminate friction across the Go-To-Market stack. As a technical lead, you will be responsible for building and productionizing agentic workflows and RAG pipelines to automate sales processes. You will integrate AI services into the tech stack while maintaining rigorous standards for observability and performance monitoring. A day in the life (Responsibilities) Hands-on Execution: Spend the majority of your time "hands-on-keyboard", architecting and coding high-performance backend services and ML pipelines. 0-to-1 Development: Build and prototype new internal products from scratch that leverage LLMs and Agentic AI to automate account research, lead prioritization, and complex quoting logic. Infrastructure Integration: Develop the backend connective tissue between our custom quoting engine, Salesforce, and internal data lakes to ensure a seamless, low-latency end-to-end experience. Technical Problem Solving: Act as a key executor to solve complex synchronization and architectural challenges across the GTM stack, ensuring systems are scalable and resilient. Build Great Products: Deliver significant core capabilities that have broad impact; take high-level goals and turn them into sequenced, production-ready code. Problem Solve: Anticipate shifts in product needs and build flexible, decoupled backend systems that can evolve with our AI strategy. Deliver Quality: Ensure the reliability

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role We’re looking for a Technical Program Manager (TPM) to drive cross-functional alignment and execution for AI Platform programs at Nuro. This role sits at the intersection of Systems Engineering, Platform, Data Science and Autonomy teams - focused on delivering scalable and reliable verification & validation (V&V) tools that enable systems readiness for driverless deployment . You’ll own the end-to-end lifecycle of systems tooling initiatives: defining requirements, managing priorities, coordinating integration with simulation and autonomy stacks, and ensuring test and validation infrastructure meets the evolving needs of driverless programs. About the Work Own the reliability metrics that gate driverless readiness and drive them to target. Serve as the primary interface across AI Platform, Systems, Hardware, and Vehicle Ops, running the operating cadence that keeps reliability work aligned and moving. Build and mai

Location(s): Canada (Remote - East Coast preferred) Bready * to make a change? Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Toast is driven to build a platform that helps our customers adapt, take control, and get back to what they do best: building the businesses they love. International expansion is a critical growth engine for Toast's future. Outside the US, we currently operate in Canada, UK, Ireland, and Australia and are actively growing our market share. Integration partnerships are a key part of our strategy to ensure that restaurants of all sizes can retain the parts of their tech stack outside of the Toast platform. This role is for a current vacancy. Who We Are Supporting customers software partners is a key part of international expansion strategy, and the advent of AI powered coding tools provided the opportunity to significantly reduce the development effort required to integrate with a partner. We are looking for a principal engineer to lead the development of this new way of integrating partners, while also providing additional technical leadership across our International expansion efforts. This is an exciting opportunity to develop new AI powered development systems that will provide direct impact for our customers. A day in the life (Responsibilities) Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. Lead fellow developers, product managers, designers, and user researchers to build a strong tech infrastructure that enables scalably integration of key customer software partners. Architect, create and maintain an AI harness for the rapid integration and maintenance of partners with Toast’s systems Define and drive technical strategy for problem

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Machine Learning Engineer, Ranking & Retrieval ClickUp is seeking an experienced Machine Learning Engineer to join our Search team. You'll own the ML systems that power search relevance for millions of users and ground our AI in the right context. Your Impact at ClickUp You'll own the full ML lifecycle for ranking and retrieval, from training through deployment and production serving. Our search indexes large-scale, user-generated content across a multi-tenant platform where permissions-aware retrieval is critical. You'll build the systems that decide what surfaces first. Core Responsibilities Train, deploy, and serve ranking models in production, owning the full ML lifecycle Build ranker features, training pipelines, and offline evaluation frameworks Design and scale hybrid retrieval combining lexical and vector search (including HNSW with disk offloading) Run embedding inference at billions-of-documents scale Improve query understanding through intent modeling and query expansion Build permissions-aware retrieval that respects multi-tenant boundaries Create measurement frameworks to evaluate and improve search quality Collaborate with Search Infrastructure, AI, and backend teams to integrate ranking improvements across the platform Technical Requirements Bachelor's degree in Computer Science, Machine Learning, or related field 5+ years of ML engineering experience focused on ranking, retrieval, or information retrieval Proven full ML lifecycle ownership: training, deploying, and serving models in production Hands-on ranker model training: feature engineering, pipelines, offline evaluation Experie

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. We're building the data foundation that makes advertising on Roblox possible. As a Senior Engineering Manager you'll lead a team of engineers building the systems that turn raw signal into trustworthy, privacy-safe, actionable data across five connected domains: core data infrastructure, identity, measurement, audience targeting, and feature engineering for ML. This is a hands-on leadership role at the center of our monetization strategy. Your team's work determines whether advertisers can reach the right audiences, prove positive ROI, and trust the numbers we report, all while upholding the privacy and safety standards our platform is known for. You'll set technical direction, grow a high-performing team, and partner closely with product, data science, privacy/legal, and the broader Ads organization. You Will Build and lead a team of high-caliber software engineers. You'll be responsible for hiring, performance management, career development, and fostering an inclusive, high-output team culture. Set and communicate a multi-quarter technical roadmap across core data, identity, measurement, targeting, and the ML feature platform, and make the prioritization and buy-vs-build calls that

Apply early for priority consideration. Gallup has limited openings for this internship, and the position will be filled quickly. Learn what it takes to keep a global technology platform running at its best. As a site reliability engineer intern at Gallup, you’ll work alongside experienced engineers to strengthen the performance and reliability of the systems behind Gallup’s global platform. You’ll gain hands-on experience with observability, automation and incident response while contributing to real projects and building skills you can carry into your technology career. What You’ll Do During your internship, you will: Help build and improve observability using tools like Dynatrace and PagerDuty to monitor applications running on AWS Create dashboards, alerts and metrics that give engineering teams real-time insight into application performance and system reliability Support automated alerting workflows that integrate directly with Slack Shadow and support incident response to learn how Gallup detects, resolves and prevents issues before they affect customers Write scripts and automation that reduce repetitive operational work Collaborate with a progressive technology team of site reliability engineers, DevOps engineers and software developers What You Need Enrollment in an associate, bachelor’s or graduate degree program in computer science, MIS or a related field required Basic knowledge of and/or experience with AWS or another cloud platform required Basic knowledge of and/or experience with Windows or Linux server administration, networking or infrastructure required Classroom or professional experience working with one or more of the following technologies required: Python, Bash, PowerShell, Terraform, Docker, Amazon ECS, GitHub Exposure to monitoring or incident management tools such as Dynatrace, Grafana or PagerDuty preferred Enrollment at a college or university within an 80-mile radius of San Francisco, California, required Anticipated graduation between

VP, People Backblaze (Nasdaq: BLZE) | Reports to the CHRO | Remote, US-based Salary range: $210,000 - $230,000, plus 30% target annual bonus and RSUs How We Got Here Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we're helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. We started by building storage servers from scratch in a Palo Alto apartment to save 90% on hardware. Turns out hard constraints make for pretty good engineering. That discipline forged a platform that performs as well or better than competitors, scales to multi-exabyte workloads, and costs a fraction of what AWS or Google charge. AI infrastructure runs on data. Storage gets hard at scale. We've been breaking, rebuilding, and improving that storage layer for 20 years. Today, the world's leading AI infrastructure providers, neoclouds, and data-intensive businesses run on Backblaze. Our platform includes: B2 Overdrive - high-throughput object storage engineered for AI infrastructure, GPU workloads, and massive-scale data pipelines B2 Neo - white-label enterprise cloud storage powering neocloud platforms for AI, HPC, and media B2 Cloud Storage - S3-compatible object storage with predictable pricing, free egress, and no lock-in Computer Backup - automatic, continuous endpoint backup for Macs and PCs 500,000+ customers. 175 countries. Nasdaq: BLZE. backblaze.com The Role Reporting to the CHRO, we need a builder to run People at a public, remote-first company scaling through roughly the 500-1000 range while expanding internationally. You’ll design the systems that make Backblaze a great place to work when there’s no office doing that job for us - engagement, culture, communications, retention, succession, and man

As an Applied Science Intern, you will join a cross-functional team of engineers and applied scientists building AI-powered features within the Datadog platform. You will contribute to both existing and new products by improving machine learning models, developing new AI capabilities, and helping bring research into production. Working closely with engineering and product partners, you'll gain hands-on experience deploying AI systems at scale while strengthening your product mindset, collaboration, and communication skills. You'll also have opportunities to contribute to cutting-edge research that directly powers customer-facing features. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Design solutions for AI use cases by researching and benchmarking state-of-the-art models to identify the best approach Build highly scalable product features using generative AI, machine learning algorithms, and statistical techniques Contribute to the development, deployment, monitoring, and maintenance of production AI models, services, and infrastructure Explore, analyze, and derive insights from the large-scale observability data flowing through Datadog systems Participate in technical knowledge sharing by presenting recent academic research and investigating emerging model architectures to improve existing and future products Collaborate with engineering and product teams to productionize AI solutions and deliver customer-facing features Who You Are: You will graduate in 2027 with a degree in Machine Learning, Artificial Intelligence, Statistics, Computer Science, or a related field You have experience building machine learning models through coursework, research, internships, or personal projects You have strong programming skills and are eager to lear

Datadog is seeking curious, driven interns to join our Product Management team and help build products that improve how engineers monitor and understand their systems. As a Product Management Intern, you’ll work alongside Engineering, Design, and Product Marketing throughout the product development lifecycle, contributing to meaningful initiatives and real product decisions. You’ll gain hands-on experience building for highly technical customers while developing your product thinking, technical communication, and cross-functional collaboration skills. With Datadog’s platform processing over 100 trillion events per day across 30,000+ customers in a multi-cloud environment, you’ll gain direct exposure to large-scale, real-time systems built by engineers, for engineers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Conduct customer discovery conversations and gather feedback to better understand user needs Drive product initiatives from concept through launch alongside Engineering, Design, and Product Marketing teams Translate customer and business needs into clear product requirements and engineering priorities Analyze customer feedback, product data, and market insights to help inform product decisions Prepare and deliver technical product demonstrations and communication materials Develop technical understanding of Datadog’s observability platform and cloud infrastructure products Who You Are: Targeting a 2027 full-time graduation Pursuing a degree in Computer Science, Software Engineering, or a related technical field Prior internship, project, or academic experience in product management, software engineering, or another product-focused technical role Exposure to B2B software product development and ability to communicate technical conc

About LastPass LastPass delivers Secure Access Essentials, helping individuals and organizations manage and protect access to AI, applications, and credentials straight from the browser. Trusted by more than 100,000 businesses and millions of users worldwide, LastPass blends strong security with everyday simplicity. From discovering unapproved AI and applications to reducing login friction and securing credentials across the business, LastPass delivers on its mission to give everyone seamless access to everything they need to work, move fast, and stay protected as their environments evolve. Curious about our products? Visit our website and try it free! We welcome new ideas, support your growth, and recognize your value, if this aligns with what you are looking for in your next career move, Join Us! LastPass is looking for Senior Backend Engineer(.NET): In this role, you will evolve the commerce and payment platforms powering LastPass subscriptions. At this career level, you will modernize services and deliver reliable payment integrations — helping LastPass deliver on its mission to give everyone seamless access to everything they need to work, move fast, and stay protected. About the team: The Commerce engineering team sits at the heart of LastPass’s global commerce infrastructure. The team architects, scales, and maintains the backend platforms that drive e-commerce, billing, and payment processing. Working primarily in .NET, the team owns the critical systems that keep LastPass subscriptions running reliably for customers worldwide. If you are passionate about complex problem solving and motivated by scale, then this is the role for you! Who will you work with? You will work closely with fellow .NET engineers, SDETs, QA engineers, database developers, and engineering leaders to design, build, test, and support reliable commerce and payment services. You will also partner with teams across Product, Finance, Data, and Operations to deliver secure