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Location: 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 The Claude Platform ships fast, and every launch lands better when the field can understand it, demo it, and teach it. You'll own platform enablement end to end: the demos, hands-on labs, and technical curriculum that let Anthropic's go-to-market teams showcase the Claude Developer Platform with confidence, whether they're building on Anthropic's first-party API or through Bedrock, Vertex, and Foundry. You'll join roadmap and launch planning with the product team before features ship, so the field has what it needs on day one. You're an engineer who teaches. You've shipped products to users. You know the difference between a demo that raises awareness and one that creates champions. And you get as much energy from watching a seller nail your lab as from building it yourself. Key responsibilities Turn launches into field-ready content: Translate new platform capabilities (API, tool use and MCP, Agent SDK, memory and skills) into demos, labs, and quick-reference guides within days of release, and build compelling demo scenarios across industries and developer personas Deliver training that sticks: Run Claude Platform training for technical onboarding and ongoing enablement programs, delivering hands-on sessions wherever the field gathers, from a 12-person lab to a 100-person field-readiness day Coach the field: Coach technical sellers on demo delivery through practice sessions and office hours Scale beyond the live session: Develop self-service resources and experimental tools so the field can learn without you in the room, and contribute to the tooling that scales enablement, including demo environments, content-freshness automation, and self-service infrastructure Close the loop with product: Stress-test new platform features before launch, then bring field signal back to product and product marketing on where sellers get stuck and what content would unlock the next deal Measure what lands: Track content usage and session feedback so you know what is working and what to retire Minimum requirements Experience in a customer-facing technical role, such as solutions architecture, sales engineering, developer relations, or technical enablement Experience writing production-quality code and building technical demos Hands-on experience building with LLM APIs and agents, including tool use, MCP, or agent frameworks, beyond prompting alone Experience using AI coding tools as part of your daily engineering work Experience delivering live technical training or talks to both technical and non-technical audiences Experience partnering directly with sales, solutions engineering, or other go-to-market teams Preferred requirements A portfolio you can show us: labs, courses, talks, or repos you built yourself Experience with Claude Code, or a comparable agentic coding tool, as core infrastructure in your daily work Experience building on the Claude Developer Platform through cloud providers such as Amazon Bedrock, Google Vertex AI, or Microsoft Foundry Experience as a technical founder, early startup employee, or 0-to-1 operator who has taken an idea to product-market fit Public speaking, conference presentations, or community-facing developer advocacy Experience building enablement tooling, such as demo environments, content-freshness automation, or self-service infrastructure Deep enthusiasm for AI and genuine care about building it responsibly The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE MISSION You will work every day on the racks that power one of France's largest AI clusters. Mistral's compute footprint is our single largest investment and the foundation of our AI research and engineering. We're hiring Data Center Hardware Engineers to keep our GPU/CPU clusters healthy, safe and growing — hands-on, in the data center, at the intersection of high-performance computing and physical infrastructure. You'll join a small, senior team working at a scale few engineers get to experience: GPU-dense racks (H100/H200-class and next-generation platforms), high-speed interconnects, liquid-cooled systems — with new sites under development in France and beyond. Hardware here is not someone else's problem. As part of a small on-site team, you carry responsibility for it end to end. Location: On-site at one of our data centers in the South of Paris. WHAT YOU'LL DO - Diagnose & repair server and cluster hardware: CPUs, memory, drives, NICs, GPUs, PSUs, and interconnect problems (switches, cables, transceivers; Ethernet/InfiniBand). - Intervene safely — power-off/lockout, ESD discipline, pre/post-work checklists, tidy and safe work areas. - Capture everything — photos, serials, test results; open, update and close tickets with notes the next engineer can act on. - Manage parts — receive, label and track inventory; run RMAs and coordinate with vendors. - Help us get better — feed recurring anomalies into monitoring, alerts and SOPs; contribute small scripts (Python/Bash) if you have those skills. - Be a good teammate — clear status updates, honest handovers, and respect for the people depending on the cluster. ABOUT YOU - Hands-on comfort in data centers or server hardware — you can (or will quickly learn to) work cleanly in racks: rails, cabling, labeling, mounting. - Disciplined and meticulous: checklists aren't bureaucracy to you, they're craftsmanship. - Practical electrical basics: power-off procedures, PPE, short-circuit risk awareness. - Basic Linux (boot checks, logs) — scripting is a plus, not a requirement. - Physically able to work in racks (lift, mount, maneuver) in a data center environment. - Comfortable in a 24/7 operation, including a rotating on-call with emergency response expectations. - Driver's licence (B) for travel between our sites. EVEN IF YOU DON'T MATCH EVERY CRITERION Many of our best hardware engineers came from research labs, telecoms, IT services or the military. If you are rigorous, curious and genuinely motivated by hardware at scale, we would be glad to hear from you — we assess demonstrated scope rather than keyword matching. NICE TO HAVE - HPC/AI/cloud production experience at scale; large-fleet server install and maintenance. - Networking fundamentals (Ethernet/InfiniBand) beyond basics. - Vendor/RMA tooling, ticketing (Jira/ServiceNow), inventory systems. - Python/Bash automation for checks, capture, inventory or reporting.   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week. Preferred locations: EST Europe Why this job is exciting Source code is at the heart of Sourcegraph. We support multiple code hosts and retrieve, store, index, and serve source code - to end users, admins, and other internal services. This role gives you the opportunity to solve complex, challenging, and highly technical problems for our customers, both internally and externally, help unleash the potential and productivity of our Engineering teams, and delight our customers with industry-leading quality software. The Platform team primarily focuses on building a fully managed platform for using Sourcegraph, Sourcegraph Cloud, our SaaS offering. As a member of the Platform team, you will work closely with both external customers and internal stakeholders to meet their needs. You will: Develop inter-cloud connectivity solutions to support enterprise customers from highly regulated industries to use Sourcegraph Cloud. Build a control plane to orchestrate a fleet of single-tenant Sourcegraph Cloud instances. Expose complex infrastructure as API to support internal customers to iterate faster. Dive into upstream dependencies (e.g., CDK for Terraform, Terraform providers for GCP)  to debug and patch non-trivial problems. Be an advocate for building reliable services and work with leadership to help product teams achieve operational excellence. Participate in on-call rotation to uphold our contractual SLA commitments. 📅 Within one month, you will… Onboard onto the Sourcegraph architecture, tooling, and development workflow. Build a solid understanding of the team’s areas of ownership, technical challenges, and problems the team solves for our customers, and know how all of these align with the top-level company goals. Actively participate in team meetings, sharing ideas and insights to contribute to the overall team goals. Start contributing to the team goals and deliverables by shipping new features, debugging issues, and fixing bugs. 📅 Within three months, you will… Demonstrate a comprehensive understanding of the Cloud infrastructure, its underlying technologies, and its integration within the Sourcegraph ecosystem. Lead initiatives contributing to team goals through both discovery and delivery phases, collaborating directly with product and design partners, other engineering teams, and non-technical stakeholders from different departments. Contribute to the architectural design and implementation of new features or improvements, actively shaping the future direction of Cloud infrastructure based on customer needs. Lead initiatives contributing to team goals on the roadmap by going through the entire product development lifecycle discovery, design, implementation, and delivery. Participate in our on-call rotation. 📅 Within six months, you will… Be defining long-term technical vision and strategies for new product development, scaling existing services, and managing technical debt. These plans will consist of multiple smaller milestones that you will deliver iteratively with the team. Collaborate with the Engineering Manager on defining the team’s growth strategy based on the long-term product vision, the technical vision, and the team’s needs. Seek feedback from customers and stakeholders to identify opportunities for further improvements or new features, actively iterating on the Cloud infrastructure to ensure it continues to meet our high bar. About you You bring a product mindset in balancing architectural flexibility and philosophy with meeting immediate customer demand. You are an experienced software engineer who seeks to solve problems by writing code rather than through one-off operations. You are passionate about user experience and self-service. You balance maintaining and designing high-impact systems with a pragmatic understanding of how to make appropriate tradeoffs (e.g., cut scope, low-tech vs. custom complex solutions) to ship quickly and iterate when necessary. Qualifications: Proficiency in Go, or other strongly typed languages. Knowledge in one of the public cloud platform providers (GCP, AWS, Azure) Experience with Terraform (or similar IaC solutions) and Kubernetes to build tooling and automation. Skilled at debugging distributed systems, followed by designing and implementing solutions to those problems. This means you should know your way around various OS-level primitives, e.g., network, CPU, and memory. Ability to communicate clearly and empathetically, especially in writing and documentation. Preferred time zone between UTC-8 and UTC+2 Nice to haves: Built services and exposed them as API for external consumption  (e.g., gRPC). Comfortable implementing system-level software  (e.g., custom transport protocol) if needed or has contributed to Kubernetes controllers/operators. Published blog posts and/or tech talks about your work. Experience working on small high-performing teams, preferably tech startups. Level 📊 This job is an IC3.  You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC3 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. 💰The starting salary for the IC3 pay band in each zone is: Zone 2: $148,000 USD Zone 3: $111,000 USD Zone 4: $74,000 USD 📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 4.75 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [Async] Take-home exercise [60m] Take-home exercise walkthrough + System Design [60m] Pairing Exercise [60m] Resume Deep Dive [60m] Cross-functional Team Collaboration Interview / Values Interview 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30m] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: Shanghai Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. ABOUT YOU We are looking for a Senior Android Engineer who is self-motivated, product-minded, and technically rigorous to join our Storefront Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to build a high-quality, white-label Android game store from the ground up, tackling complex challenges in large-game distribution, download management, and multi-tenant theming.   Strong Kotlin and modern Android development skills are essential, along with experience in native Android development, particularly with large-file downloaders, app stores, or content distribution systems. The ability to collaborate effectively with cross-functional teams (product, design, backend, and QA) and drive technical decisions will be key to your success in this role. If you’re passionate about creating high-performance, feature-rich consumer-facing applications and love solving the unique technical challenges of distributing and updating large-scale Android games, we would love to hear from you! Responsibilities Design, build, and maintain the Android client for the game store, using Kotlin + Jetpack Compose to deliver a modern, high-performance UI. Implement core features: game browsing, categories, search and filtering, game detail pages, user accounts, game library, ratings and reviews. Design and implement the game download, install, and update management module (resumable downloads, guided/silent installation, signature verification, version management). Implement white-label theming and multi-channel build capabilities (via Gradle product flavors and/or runtime theme configuration) to support per-partner branding. Optimize app performance (e.g. startup time), stability (e.g. crash rate), binary size, and memory usage. Collaborate closely with product owner, designer, backend dev, and QA; contribute to technical design and code reviews. Write clean, maintainable, and well-tested code; enforce coding standards and participate in peer code reviews. Game industry experience required On-site position only (remote work not available) Qualifications and Skills Degree in Computer Science or a related field, with 5+ years of native Android development experience. Strong command of Kotlin, including coroutines and Flow for asynchronous programming (or mastery of Java and its equivalents). Proficient with Jetpack Compose for declarative UI development (traditional View/XML experience is a plus). Familiar with Android Jetpack components (ViewModel, Lifecycle, Room, Navigation, Hilt) and MVVM/MVI architecture. Familiar with common libraries: networking (Retrofit/OkHttp), image loading (Coil/Glide), and local storage. Familiar with the Gradle build system, including white-label / multi-tenant / multi-flavor builds, signing, and version management. Solid understanding of Android’s installation mechanisms, permission model, and behavioral changes across OS versions. Solid engineering fundamentals: coding standards, unit testing, and version control (GitLab/GitHub). Proficiency with AI coding tools to boost development productivity. Nice to have Understanding of the Chinese gaming industry, game app characteristics, and player needs. Experience in game development, publishing, or operations on major Chinese gaming platforms. Familiarity with the Android package structure exported by game engines such as Unity / Unreal (APK + OBB expansion files, large asset bundles). Experience integrating game SDKs (account login, in-app purchases, ad monetization, analytics, real-name verification). Note: Less experienced candidates could be considered as middle-level developers. Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: New York, NY, USA; San Francisco, CA, USA About the Role As a mobile platform engineer, you'll help shape the future of Chime's React Native app, building the infrastructure and tooling that make development faster, safer, and more scalable for hundreds of engineers working alongside AI. You'll thrive in this role if you enjoy building for developers, solving complex technical problems, and multiplying your impact on others while delivering a best-of-class experience for our 10M+ monthly active members. In this role, you can expect to Build and maintain internal frameworks, developer tooling, and infrastructure. Collaborate with product and engineering teams to improve app quality, performance, and observability. Identify bottlenecks and deploy operational efficiencies to automate mobile CI/CD and release orchestration, reducing manual effort and increasing reliability. Design and improve tooling to reduce friction in the developer loop and maximize engineering velocity. Mentor engineers and raise the bar on technical standards, code quality, and delivery practices through design reviews, guidance, and example. Partner with QA to lead Chime’s mobile release process across iOS and Android. Build and scale AI-enabling app development  infrastructure to support increased product velocity. To thrive in this role, you have 5+ years of experience in cross-platform, mobile development,  ideally with React Native. A collaborative mindset, excellent communication skills, and a drive to document and share what you build. Strong fluency in TypeScript and familiarity with React, React Native. Experience with iOS and Android build, configuration, and distribution systems. Shipped apps that are used by millions of users. A track record of profiling and improving app performance. Familiarity with observability and analytics tools like Bugsnag, Datadog, Sentry, or Hex. Deep understanding of server-client architecture, leveraging GraphQL and performance profiling (e.g., memory pressure, screen latency, optimizing time to interactive, preloading). Experience with mobile build infrastructure platforms such as Bitrise, CircleCI, or GitHub Actions. Nice-to-have Experience with feature flag systems, runtime controls, or OTA delivery frameworks (e.g., Expo Updates, CodePush). Experience building the infrastructure that supports AI-native mobile development. Familiarity with state management tools like Redux, React Context, AsyncStorage, or MMKV. Scaled mobile quality practices and testing frameworks. #LI-Onsite #LI-WS1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $164,000 — $227,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders. Задачи: — Design and verify custom digital hardware components and architectures that enable high-performance, tightly integrated computation workloads and interface Arago’s custom tensor unit for advanced AI/ML applications. — Design, implement, and verify RTL blocks for memory, control, and compute subsystems within Arago’s custom multiphysics computation unit. — Collaborate with Arago’s system software and architecture teams to define block-level specifications and ensure alignment with performance and integration goals. — Develop and maintain functional verification infrastructure to validate design correctness across simulation and hardware testbenches. — Support synthesis, timing analysis, and backend integration, working closely with Arago’s physical design and CAD engineers. — Contribute to architectural exploration and hardware-software co-design efforts to shape future iterations of Arago’s compute platform. Требования: — Extensive experience in RTL design (Verilog/SystemVerilog) for control logic, datapaths, memory subsystems, and specialized processing units. — Strong understanding of digital architecture, including pipelining, arbitration, memory hierarchy, and system-level integration. — Proficiency in functional verification, including testbench development, assertions, coverage metrics, and debugging (UVM experience is a plus). — Familiarity with ASIC and FPGA design flows, including synthesis, timing closure, and DFT. — Comfortable working across the full hardware stack — from architectural specification and microarchitecture to physical implementation support. — Language: English at a proficient level. French is a plus. Условия: — Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions. — Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers). — Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location. — Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays. — Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive. — Reimbursement of 50% of the public transport subscription fee. — A high-paced, multicultural (with 9 nationalities), and engineering-led environment. Our Hiring Process: Your Journey to Arago — Screening Call : Get to know you beyond your CV. — Technical meeting : Deep dive into your past projects and technical achievements. — CEO Interview : Assess the fit with the team’s culture and long-term vision. — Reference Calls: Mandatory calls with your former managers to validate strengths, weaknesses, and work style. — Technical Assessment: Take-home technical assignment crafted to the role you’re applying for. — Final Interview : Discuss your technical assignment and address any remaining questions with team members.

Location: Remote Poland, Poland Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. Join Our Team as an AI-native Staff Backend Engineer!  Join one of our cross-functional teams in Motors, Real Estate, OLX Classifieds, or Platforms, working remotely from Poland. Are you someone who is craving scalable problems and dealing with optimizations? You'll work with a creative, critical, and well-organized team from the comfort of your house, but as close as we have ever been! You will play a key role in enabling our organisation to scale efficiently. Who we are looking for: You can use agentic workflows (Claude Code, Cursor Agent, or equivalent) as your default, not as a novelty. You practice context engineering, not just prompt engineering;  you design the full information architecture an AI agent needs to succeed: repo structure, CLAUDE.md / AGENTS.md configs, relevant code context, memory, and tool access. You understand model routing trade-offs (e.g., when to use Haiku vs. Sonnet vs. Opus) and multi-agent orchestration. Strong ownership instinct: AI output is a first draft, not a deliverable; you validate, refactor, and take full accountability. You have strong Coding and Computer Science Fundamentals. Roughly ⅔ of your time will be hands-on technical work: designing solutions, steering and reviewing AI-generated code, developing new ideas, and reviewing others' contributions. The rest goes to cross-team influence, mentoring, and strategic alignment. Strong background experience in Golang, Java/Kotlin (preferred technologies), and able to work with PHP. Flexible and capable of adjusting to changing project requirements, roles, and backend technologies as needed. Scalable Systems Expertise. Experience with large-scale web applications, an economic-thinking mindset, and being able to design well-bounded future-proof domain systems, aligned with the business objectives. Deep expertise in scalable distributed systems, CI/CD, RESTful and GraphQL APIs, AWS, and relational + NoSQL databases. Big-picture thinker: aligns technical decisions with business strategy, influences without authority. Clear communicator in English across engineering, product, and leadership audiences. Self-starter who identifies what needs doing and takes initiative without waiting to be asked. Skilled Technical Leader and Mentor: Guide and support engineers by setting a strong example. As a Staff Engineer, you are a role model, leading by example and through your expertise. What you will be doing: Architect context pipelines for AI agents: curate what enters the context window (repo boundaries, domain knowledge, test outputs, CI feedback) so agents produce reliable, mergeable code, not just plausible code. Prepare task specifications that are agent-actionable (clear acceptance criteria, referenced modules, explicit constraints) Design and maintain agent-ready systems: well-bounded repos, comprehensive test suites as guardrails, CI/CD pipelines with structured output agents can parse and act on. Serve as an AI Champion: join and strengthen our growing AI Champion community, contribute to workshops, curate effective agentic workflows, and mentor engineers on AI-assisted practices. Contribute to org-level AI tooling evaluations and OLX AI practices repositories. Drive active migration from a legacy monolith to microservices, owning decisions on bounded domain decomposition. Working on making agentic workflows effective across a codebase whose boundaries are actively being redefined. Set the bar for GraphQL API design, RESTful contracts, database schema, and CI/CD quality across the tribe. Work with product and engineering leadership to identify high-value problems, propose initiatives, and drive impactful technical direction without direct authority Guide senior engineers in managing and reducing technical debt with AI as an accelerator, not a shortcut. Our Hiring Process: Recruiter Screen Management Capabilities System Design Live Coding Our Benefits Monthly salary and an annual bonus (20%) Training and conference budget, and free access to Udemy courses A benefits package with 500 points on the Mybenefit platform per month, private medical care provided by Luxmed, Ask Henry services, and much more IP rights’ costs - 80% 100% remote work (as well as the possibility of working from our offices in Poznan and Warsaw) If you think this is the role for you, send your application in English and let’s talk! If you'd like to learn more about us take a look around our careers page and the OLX Group website. Follow us on Linkedin and check out our OLX Group Engineering Blog and Twitter Tech. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: 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 looking for experienced engineers to build Anthropic's cache layer as a managed service from the ground up. The Caching team is part of the Databases organization and owns the systems that keep Anthropic's hottest paths fast and correct: a managed Redis fleet, client libraries used across the company, and CDC-driven cache invalidation that solves one of distributed systems' hardest problems the right way. This is a foundational role on a small team with outsized leverage. Every millisecond you take off a hot path is multiplied across every Claude request. You'll set the technical direction for caching at Anthropic, from the data plane to the developer experience, and you'll work closely with product and research teams to make caching something engineers get for free rather than something they have to think about. Key responsibilities Drive the technical direction for caching infrastructure used across Product and Research Design, build, and operate a managed Redis fleet that scales to support millions of users across Claude's product ecosystem Build client libraries and developer-facing abstractions that make correct caching the default for Anthropic engineers Design and operate CDC-driven cache invalidation that keeps cached data consistent with source-of-truth databases Architect caching solutions that operate across GCP, AWS, first-party deployments, and other environments Optimize latency, hit rates, reliability, and cost efficiency on Anthropic's hottest paths Build observability and tooling that makes cache behavior easy to understand and debug Partner with product and research teams to understand access patterns and build infrastructure that accelerates their work Make build-vs-buy decisions for caching technologies Minimum qualifications Significant experience as a software engineer building and operating production distributed systems Deep knowledge of caching architectures, including invalidation strategies, consistency tradeoffs, and failure modes Experience operating Redis, Memcached, or similar in-memory data stores in production Proficiency in at least one systems programming language (e.g., Go, Rust, Java, C++) or Python at scale Track record of leading large, complex infrastructure projects as an engineer or tech lead Ability to balance moving quickly with the reliability needs of production systems Strong technical leadership and cross-functional collaboration skills Preferred qualifications 10+ years building and scaling distributed infrastructure, with 3+ years leading large-scale projects or teams Experience building managed infrastructure platforms or internal services consumed by many engineering teams Experience with change data capture (Debezium or similar) or streaming data infrastructure Experience operating Redis Cluster, Valkey, ElastiCache, Memorystore, or similar managed offerings at scale Experience designing client libraries or SDKs for internal infrastructure Experience scaling infrastructure through periods of rapid growth at high-growth companies Experience with multi-cloud or hybrid cloud deployments Contributions to caching systems, database internals, or related open source projects Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure expertise from any domain. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Arago is an AI and computer hardware company focused on accelerating breakthroughs at the intersection of AI and semiconductors. The company was founded in 2024 by AI researchers and physicists with expertise in photonics, electronics, software, mathematics, and machine learning. The team is multinational and operates from hubs in France, North America, and Israel. Задачи: — Design and verify custom digital hardware components and architectures for high-performance, tightly integrated computation workloads. — Design, implement, and verify RTL blocks for memory, control, and compute subsystems within Arago’s custom multiphysics computation unit. — Collaborate with system software and architecture teams to define block-level specifications and ensure alignment with performance and integration goals. — Develop and maintain functional verification infrastructure to validate design correctness across simulation and hardware testbenches. — Support synthesis, timing analysis, and backend integration, working closely with physical design and CAD engineers. — Contribute to architectural exploration and hardware-software co-design efforts to shape future iterations of Arago’s compute platform. Требования: — Extensive experience in RTL design (Verilog/SystemVerilog) for control logic, datapaths, memory subsystems, and specialized processing units. — Strong understanding of digital architecture including pipelining, arbitration, memory hierarchy, and system-level integration. — Proficiency in functional verification including testbench development, assertions, coverage metrics, and debugging; UVM experience is a plus. — Familiarity with ASIC and FPGA design flows including synthesis, timing closure, and DFT. — Comfortable working across the full hardware stack from architectural specification and microarchitecture to physical implementation support. — Proficient English; French is a plus. Условия: — Competitive cash compensation based on location, experience, and team pay. — Meaningful stock option plan offered early. — Relocation bonus and coverage of moving expenses for relocation within 20 minutes of company location. — Healthcare coverage including family options, pension contributions, professional development support. — 25 days PTO plus public holidays. — Ownership of a key technical domain with growth opportunities. — Reimbursement of 50% of public transport subscription fee. — High-paced, multicultural, engineering-led environment. Процесс найма: — Screening Call — Technical meeting — CEO Interview — Reference Calls — Technical Assessment — Final Interview

Location: Global - Remote About the role Mission: Emulate the full kill chain of the real-world adversaries that target our business. As our Red Team Expert, you plan and execute full-scope, objective-driven operations from external initial access through phishing, C2, lateral movement, privilege escalation, and Active Directory domain compromise, all the way to actions on objective against our most critical assets. You operate covertly against a mature, monitored environment, defeat modern EDR/XDR and detection controls, and prove exactly how far a determined attacker could get. You then turn every operation into concrete detection engineering wins and defensive improvements alongside our Blue Team. What you'll be doing Scope, plan, and execute full-scope red team engagements and long-horizon adversary emulation campaigns mapped to real threat-actor TTPs and the MITRE ATT&CK framework. Execute the complete attack chain: OSINT and reconnaissance, initial access (phishing, payload delivery, public-facing exploitation), establishing and operating covert C2, persistence, privilege escalation, lateral movement, and domain/cloud takeover. Develop and deploy custom tooling, payloads, and C2 infrastructure; build and maintain resilient, OPSEC-safe redirector and command-and-control environments. Research and weaponize EDR/XDR evasion and bypass techniques — in-memory execution, process injection, AMSI/ETW tampering, and defense-evasion tradecraft — against CrowdStrike, SentinelOne, and Microsoft Defender XDR. Compromise Active Directory and hybrid/cloud identity: Kerberos attacks, ACL and delegation abuse, ADCS exploitation, and lateral movement across on-prem and cloud infrastructure (AWS). Run assumed-breach, insider-threat, and social-engineering scenarios, including physical and office-network intrusion paths where in scope. Work directly with the Blue Team to replay attack chains, validate and tune detections, and measurably close detection and response gaps. Document full attack narratives, kill-chain diagrams, and reproducible proof-of-concept steps that let defenders rebuild and detect every stage. Translate operational findings into prioritized, actionable remediation and detection-engineering guidance for IT, Network, and Security teams. Track operational metrics: objectives achieved, detection and response times, dwell time, evasion success rates, and remediation follow-through. Contribute to maturing Sporty's red team capability and threat-informed defense, sharing tradecraft with internal offensive and defensive staff. What you'll bring Experience (required) 5+ years of hands-on experience in offensive security, perimeter penetration testing, network security assessments, red teaming, or adversary emulation. Strong understanding of external asset discovery, DNS configuration vulnerabilities, and public IP network routing. Practical experience auditing and testing Linux and Windows environments and underlying network services. Proven ability to perform adversary emulation and bypass techniques against modern EDR/XDR solutions. Familiarity with testing physical office network hardware, routers, switches, firewalls, and workplace IT systems. Ability to turn external exposures and technical network risks into clear, actionable fixes for IT and Security teams. Experience with core web vulnerabilities and limited, scoped testing of modern API interfaces. Strong scripting ability in Python, PowerShell, Bash, or similar to automate perimeter mapping, emulation workflows, and asset discovery. Good understanding of scanning, reconnaissance, and interception tools. Strong documentation skills. Certifications (one or more required) OffSec: OSCP / OSCP+, OSEP, OSWE, OSED, OSCE3 (or legacy OSCE) , OSWA, OSMR, OSEE Hack The Box: CPTS , CBBH, CWEE, CAPE Red Team / Active Directory: CRTO, CRTL (Zero-Point Security); CRTP, CRTE, CRTM (Altered Security) GIAC: GPEN, GXPN, GWAPT, GRTP, GCPN Other recognized: PNPT (TCM Security), eCPPT / eWPTX / eMAPT (INE), BSCP (PortSwigger), CREST CRT / CCT, CPTE Community and competitive track record Bug bounty recognition: bounty awards, hall-of-fame listings, or published CVEs through HackerOne, Bugcrowd, Intigriti, YesWeHack, or vendor-run programs. CTF achievements: active player on a ranked CTFtime team, Hack The Box Hall of Fame or Pro Lab completions, or finalist/podium placements in recognized competitions (DEF CON CTF, Google CTF, HTB Business CTF, SANS Holiday Hack, and similar). What’s in it for you Sporty is a remote first company in pursuit of sustainability A competitive salary + individual performance based bonuses every quarter 28 days paid annual leave Our core working hours are 10am-3pm in your local time zone with flexibility outside of this Referral bonuses & flash bonuses Top of the line equipment Annual company retreats to provide great internal networking opportunities Interview process Remote video screening with our Talent Acquisition Team Offline Take home assignment Remote video interview with Team Members (60 Mins) Final discussion with the hiring manager (60 mins) If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours. We are committed to maintaining a fair, secure and authentic recruitment process. Applications submitted using false, misleading or fraudulent information, including impersonated or fake profiles, will not be considered. Where reasonably necessary to protect the integrity and security of our recruitment process, we may verify a candidate’s identity and/or the accuracy of information provided during the recruitment process. Any such checks will be carried out in a proportionate and appropriate manner and in accordance with applicable data protection and employment laws.

Location: Remote, Worldwide Workplace: remote About Distru Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform. We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial businesses their all-in-one AI stack. We're growing and profitable, with 5/5 stars on Glassdoor. Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor. Get to know the team, our culture and our full benefits at distru.com/careers! The Role AI is at an inflection point for enterprise use, and AI assistants like Claude, Codex, and Grok are seeing record adoption at work. We believe the system of record has never been more valuable for organizing the data AI acts on. We started with our AI Order Agent, now rolled out across our customer base, which lets buyers submit orders from any source in any format. It's the first piece of a much bigger agentic ecosystem we’re building, and we're moving most of our engineering effort to AI-first work to build it. You'll work directly with our Director of AI Engineering to own the technical buildout of our AI product suite, including: Agentic harness: a multi-agent system that safely operates across a business's core tools (ERP, CRM, spreadsheets, calendars, email, analytics, compliance systems) MCP: our MCP that connects Distru to external AI harnesses Context Layer: our context layer that ingests customer data, builds memories and profiles, and feeds back into our harness to create more personalized AI experiences for our customers Evals: the eval suites that make our agents reliable in production And more… You’ll be working directly on the AI system from the ground up and make strong, opinionated calls on the agentic stack and where it goes next. The AI space moves fast and the specifics will change, so this technical vision is something you'll mold. You'll report to the VP of Engineering and the Director of AI Engineering, and work closely with the rest of the product team, eng team, and our customers. What you'll do Agentic engineering Architect and build a production multi-agent system that can safely take actions across Distru and our customer’s core systems Iterate and maintain the MCP that connects Distru to Claude & Codex. Own reliability, observability, and durable execution end to end. The harness takes real actions on customers' data, so the bar is high. Write evals to improve our agentic systems from real customer use cases Build a unified data system that pulls data from multiple sources into a singular data layer that can be exposed to Claude & Codex via an MCP Build a contextual memory system that ingests our customers' data and improves how our agents work for them AI research & experimentation Keep pace with the latest agentic frameworks, harnesses, toolkits, models, and bring in better approaches as they emerge Rapidly prototype new ideas to present to our team and our customers Engineering workflow Build hands-on with Claude Code and similar tools as part of your own workflow Improve our agentic coding workflow and bring new discoveries to the team What success looks like at 6 months You've shipped core improvements to our harness in production that our customers use daily, with clear observability and iteration for improvement You’ve shipped and iterated on many MCP tools and improvements Every agent you own has an eval suite and observability, so the team catches regressions before customers do You own a part of the agentic stack and are the go-to person for it across the company You’ve built prototypes on how our agentic infrastructure can improve (i.e. a new way to retrieve memories, an agentic onboarding process for our customers) What we look for AI fluency For every AI role, we look for three things: Tool fluency: you build with Claude Code or similar every day, you've built your own skills, agents, or workflows, and you can explain why your setup looks the way it does. Workflow fluency: you write evals before you trust a prompt, and you know when a model is the wrong tool and plain code is the right one. Build fluency: you've put agents in front of real users, with guardrails, observability, and a way to roll back. You use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it. Must have 5+ years in full-stack development, ideally on B2B SaaS applications Multi-agent harnesses: hands-on experience building multi-agent harnesses in production, not just prototypes or personal projects MCPs: you've built MCPs that are used in production Production systems: a strong grasp of reliability, observability, permissions, and safe workflow execution Product and engineering: you've operated as both, and you're comfortable owning scoping and decisions, not just implementation Modern stack: proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph, and you pick up new tools and frameworks quickly Startup agility: you've worked at an early-stage startup (under 20 engineers) and operated well in ambiguous, unstructured environments Low ego: you're team-first and measure success by what shipped and whether it worked, not by internal politics Clear communication: you raise concerns and propose solutions before being asked Strong signal Background building supply chain, ERP, CRM, B2B marketplace, or accounting software UX design experience Agentic systems work beyond the must-haves, such as evaluation frameworks or agent-to-agent protocols Experience using Claude Code (or similar) to build products on your own Cannabis industry experience How we work We love building with AI. Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools. Taste in building. A lot of this role comes down to knowing what to build, what to cut, and what a great agentic experience feels like for the user. We stay close to the customer. You'll talk to customers and our GTM team directly, not through a chain of tickets. You'll build on what we've learned. You'll have access to the team's combined AI knowledge and the processes and skills we've built. For the full picture of our culture and who thrives here, see distru.com/careers . Benefits Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and what the team says about working at Distru. Here are a few highlights (exact benefits vary by country and employment type): Fully remote across 4 continents Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave 18 days PTO + 11 holidays (sick days don't count toward PTO) Medical, dental, vision + 401(k) for US employees The best AI tools available and a generous AI stipend for everything else Yearly in-person team offsites Interview process Application questions: three short written questions in Lever on how you build with LLMs Recruiter screen (30 min): your background, the most complex AI product you've worked on, and your personal AI tool stack Technical interview (45–60 min): a deep dive into a complex product you've built, a live harness design discussion, and a screen-share walkthrough of your day-to-day setup Harness take-home (3–4 hours): spec a real feature on our agentic harness across product and UX, system design, and implementation details Take-home review (60 min): a technical deep dive into your submission with two engineers, including how your design holds up when a constraint changes References and offer Distru was formed by an environment of mutual respect and trust made up by people working together without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our team members is critical to our success and we proactively strive to recruit, develop and retain the best and brightest people from the most diverse candidate pools we can find all over the world. Where you land in the range depends on your experience and skills.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is hiring a Forward Deployed Engineer to work alongside Physical AI customers, shape our core infrastructure products, and test ideas for what we should build next. You will work with enterprises, ISVs, and digital-native companies running training, simulation, synthetic data, evaluation, and model serving workloads. By understanding their systems and helping them reach production, you will uncover requirements that inform our Cloud, Serverless, and Token Factory teams. The goal is to connect needs across Physical AI industries with product decisions, including improvements that benefit enterprise customers more broadly. You will also investigate opportunities for new Nebius products. You will develop hypotheses about unmet needs, examine demand and existing alternatives, and build prototypes to test with customers. Your findings will help determine which opportunities deserve investment and what an initial product should deliver. The work is hands-on. You will write code, deploy and benchmark models, build agents, and troubleshoot infrastructure alongside customer engineers. The position is part of the Physical AI go-to-market team, with close collaboration across customers, NVIDIA, Product, and Engineering. What you will do Work with customer engineers to understand their workloads, infrastructure constraints, and production requirements. Translate Physical AI use cases into requirements that Cloud, Serverless, and Token Factory teams can use, backed by measurements and customer evidence. Identify enterprise adoption barriers and common needs across industries. Work with Product and Engineering to assess gaps and test improvements with customers. Build agents that set up, run, and debug Physical AI workloads, connecting them to clusters, schedulers, storage, and model servers. Deploy and benchmark open-weight models with serving stacks such as vLLM or SGLang, then tune them for customer workloads. Build prototypes and run technical evaluations to answer specific questions about performance, reliability, and product fit. Assess demand and existing alternatives for opportunities outside current product teams’ scope, then build where there is a clear market. Debug across Python, agents, model servers, Kubernetes, GPUs, networking, and storage. Turn successful setups into reusable scripts, deployments, and short guides. What we are looking for Three or more years in software engineering, cloud infrastructure, DevOps, ML infrastructure, or similar, including ownership of a production service, cluster, or platform. Experience working directly with customers or external engineers to scope problems, run evaluations, and explain technical tradeoffs. Ability to turn an unfamiliar customer problem into concrete infrastructure requirements. Practical experience building with LLMs or agents, at work or independently, with an understanding of their internals (e.g., transformers, KV caching, or tool calling) and how to evaluate their outputs. Familiarity with enterprise infrastructure requirements, including identity and access management, network isolation, security, monitoring, and reliability. Strong Python and Linux skills: you can read unfamiliar code, automate a setup, and debug from logs and metrics. Practical experience with containers and Kubernetes, including configuration, networking, storage, and scheduling. A record of getting useful software working with incomplete requirements, measuring results, and following through with the people using it. Helpful experience Enterprise customer engineering, solutions architecture, consulting, or taking a new product from an initial customer problem to adoption. Distributed compute such as Ray, Slurm, Spark, or multi-GPU jobs. NVIDIA GPU workloads, including memory management, drivers, CUDA, NCCL, and monitoring. Model serving with vLLM, SGLang, TensorRT-LLM, or TGI. Robotics, simulation, synthetic data, reinforcement learning, world models, or tools such as Isaac Sim, Isaac Lab, Omniverse, and Cosmos. Infrastructure automation and enterprise integrations, including Terraform, CI/CD, private connectivity, and identity federation. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,500 — $224,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Detection and Response The Detection and Response team is responsible for detection engineering, threat intelligence, and incident response across Nebius Cloud. Its goal is to improve and maintain Nebius's security monitoring capabilities, as well as to build and maintain an end-to-end Security Incident Response program - people, processes, and tools. The Role We're hiring a Detection & Response Engineer to build and run our D&R capability from the ground up. You'll work on detection engineering, threat intelligence, and incident response functions across Nebius Cloud. You'll be responsible for detection development, handling complex security incidents, forensics, and shaping the D&R strategy. What you’ll do Detection development: maintain low false-positive and false-negative rates. Work closely with alerts consumers (20+ teams) to keep noise low and signal high, ensuring they can act quickly without missing genuine threats. Architect and operate detection coverage across our cloud and bare-metal environments Build and extend our internal D&R tools and pipelines - onboard new logs, build and automate response runbooks. Integrate threat intelligence into detection logic and IR playbooks, tracking adversary TTPs relevant to Cloud infrastructure Lead incident response end-to-end: scoping, containment, root cause analysis, post-incident reviews and controlling critical action items are closed to prevent future possible incidents. Partner with Compliance and Engineering teams to detect real threats while meeting the needs of both engineers and regulators. Define and report on D&R metrics: MTTD, MTTR, detection coverage, false positive rates, etc. Build and maintain Security Incident Response program: people, processes, tools. Build tools, runbooks, and on-call processes that scale as the company grows. What we look for 6+ years in security operations, detection engineering, or incident response. Deep hands-on experience with cloud-native environments (Kubernetes, Linux workloads, container-based infrastructure). Strong detection engineering skills: writing and tuning rules/detections in SIEM platforms (e.g., Chronicle, Splunk, Elastic) and SQL. Experience building or operating SOAR workflows and automating response at scale (ideally with Golang and Temporal). Working knowledge of threat intelligence frameworks (MITRE ATT&CK, Pyramid of Pain, Kill Chain ) and how to operationalize them in detections. Solid IR fundamentals: memory forensics, log analysis, network traffic analysis, and post-incident reporting. Stakeholder management: able to coordinate across engineers, compliance, legal, executives during active incident phase. Serve as the primary owner and driver for complex changes, as a result of incidents post-mortem. Nice to have Experience with AI/ML and GPU clusters related threats. Familiarity with eBPF-based detection or runtime security tooling (Falco, Tetragon). Background in threat hunting. Why this role at Nebius Build D&R at a company scaling from startup to global infrastructure provider in real time. Ability to evolve our internal D&R platform into a new cloud security product, delivering novel security observability for a range of neocloud customers - from big tech to AI startups. Work alongside world-class engineers on infrastructure that powers frontier AI. Competitive compensation with equity upside in a Nasdaq-listed, high-growth company. Flexible, remote-first culture. Hiring Process Recruiter's chat (30mins) Live-coding interview (60mins) to asses basic coding skills Security interview (60mins) to asses domain expertise Incident Response interview (90mins) to assess practical experience Final interview to close the hiring process (45mins) #LI-CP1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New York; San Francisco ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Most of the value of owning a model shows up at serving time. We’re building a platform that covers the whole life of an LLM (train it, deploy it, observe it), and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. WHAT YOU’LL WORK ON: - Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spiky serverless traffic, and whatever else the research agenda calls for - Train custom speculators against real production traffic and feed what you learn back into target models; acceptance length is the metric that decides the win - Work directly with customers alongside our Forward Deployed Engineers to deploy and tune models, and bring what you learn back into the research - Carry and expand collaborations with outside research labs, for example: - our work with ZLab on DFlash https://modal.com/blog/spec-is-all-u-need, a speculator design built on KV injection and blockwise parallel drafting - our work with SGLang on specdec https://modal.com/blog/host-overhead-inference-efficiency and multimodal inference https://modal.com/blog/boosting-multimodal-inference-performance-by-greater-than-10-with-a-single-python-dictionary performance - our work on Flash Attention 4 kernels https://modal.com/blog/flash-attention-4-faster - Work with engineering to turn frontier serving techniques into products: primitives for disaggregation, fast weight refresh for models that keep training after deployment, observability for quality and latency in production, or even a next-generation inference engine - Help shape the research agenda None of the above is prescriptive; your work will help guide our future. YOU MAY BE A FIT IF: - You have a research-leaning or systems background in LLM inference, with work you can point to - You’re fluent in the LLM serving stack, from kernels and quantization up to schedulers and autoscaling - You have a record of shipping research or systems that other people build on, whether in a lab or in industry - You have the drive to independently take a research bet from idea to result, working in the open with the rest of the team - You’re able to work in person in our NYC or San Francisco office

Key Responsibilities: — Develop and implement gameplay mechanics, systems, and tools. — Collaborate with designers and artists to bring game features to life. — Optimize code for performance and memory usage. — Debug and resolve technical issues throughout the development cycle. — Contribute to the design and improvement of game engines and pipelines. Requirements: — Proven experience as a Programmer in game development or a related field. — Proficiency in programming languages like C++, C#, or Python. — Experience with game engines like Unreal Engine or Unity. — Strong problem-solving and debugging skills. — Excellent communication and teamwork abilities. Preferred Qualifications: — Experience with multiplayer or networked game development. — Knowledge of graphics programming (e.g., HLSL, GLSL). — Familiarity with AI programming and physics simulations. What We Offer: — Competitive salary and benefits. — Opportunity to work on exciting, high-profile game projects. — Collaborative and inclusive work environment. — Professional growth and development opportunities.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX - Hybrid About the team The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack and build systems that truly run the business. About the role We are looking for a visionary and hands-on Lead Machine Learning Engineer to join our Austin team. In this role, you will be the principal architect behind the next generation of our unified AI/ML platform, designing and building the infrastructure that powers everything from traditional predictive models to generative AI, large language models (LLMs), and autonomous agent frameworks. You will own the end-to-end technical strategy, blueprint, and execution of scalable backend services and data pipelines that support AI-driven applications across go-to-market, engineering, and product teams. Because our products are initiated and owned entirely within the team, you will drive the vision from initial requirements and system design to global deployment, optimization, and long-term evolutionary ownership. What you'll do Architect and evolve a highly scalable, multi-tenant AI/ML platform that seamlessly unifies traditional ML (classification, regression, forecasting) and Generative AI/LLM orchestration. Design and implement robust production-grade AI Agents and Advanced Chatbots. Build reliable execution environments for Multi-Agent Systems, including state management, long-term memory architectures, and Model Context Protocol (MCP) server integrations. Build high-throughput, low-latency application backends and orchestration layers. Partner closely with data, platform, and full-stack engineers to ensure seamless feature delivery and reliable production operations. Act as a technical anchor for the Data Science team – enforcing rigorous engineering standards, leading design and security reviews, evaluating build-vs-buy decisions, and mapping business requirements to robust technical designs. Evaluate trade-offs and drive adoption of modern AI infrastructure tools, optimized embedding pipelines, vector databases, and serverless compute paradigms (such as Workers AI).\ Must-Have Skills Extensive experience as a Senior or Lead ML Engineer, with a proven track record of architecting and operating production-grade ML platforms, services  and distributed backends. Strong competency in Traditional ML lifecycles (feature stores, training pipelines, model monitoring) alongside deep experience in Generative AI patterns (RAG pipelines, context engineering, fine-tuning, guardrailing, and agentic AI systems). Mastery of Python and robust experience with modern backend ecosystems. Familiarity with (or willingness to collaborate on) full-stack technologies like React and TypeScript is highly valued. A builder's mindset. You are comfortable navigating ambiguity, shaping your own technical roadmap, adapt as needed and taking extreme ownership of system reliability, costs, and model performance. Nice-to-Have Skills Technical Leadership & Systems Architecture 3+ years of dedicated ML Engineering experience within a large-scale, enterprise environment (handling petabyte-scale data and working across globally distributed teams). Proven ability to architect, scale, and secure reliable, highly observable distributed systems, with a track record of leveling up platform foundations. Experience mentoring engineers, leading by example through high-quality code and rigorous design reviews, and fostering a culture of technical excellence. Strong problem-solving skills with a demonstrated ability to independently drive complex projects through ambiguous spaces and collaborate cross-functionally with data engineers, full-stack teams, and analysts. AI, LLMOps & Agentic Engineering Hands-on proficiency in building production-grade GenAI applications and multi-agent systems using advanced LLM frameworks like LangGraph, LangChain, or Autogen. Deep understanding of agent harness primitives, state management, memory architectures, and tool-calling loop mechanics. Experience establishing LLMOps foundations, including automated prompt tracking, LLM evaluation pipelines (e.g., Ragas, TruLens), vector database optimization, context/token management, and real-time guardrailing/moderation layers. Deep experience in scientific computing using Python (Scikit-Learn, PyTorch, or TensorFlow) and deploying traditional systems for end-to-end training, batch/real-time inference, and model observability. Infrastructure, Cloud & Data Platforms Strong experience with Docker and Kubernetes for containerization and orchestration, alongside Infrastructure-as-Code tools like Terraform and public cloud ecosystems (GCP, AWS, or Azure). Hands-on experience with modern MLOps platform tools (e.g., Airflow, Argo Workflows, ArgoCD) and data systems including BigQuery, Postgres, and robust ETL/ELT practices. Experience with full-stack web technologies and serverless/edge environments (FastAPI, TypeScript/JavaScript, Cloudflare Workers), with the agility to contribute across a multi-language stack. Strong foundation in continuous integration/continuous deployment (CI/CD), testing frameworks (Pytest), and robust version control practices. Education & Communication M.S. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. Exceptional written and verbal communication skills, with the ability to translate complex technical architectures into clear concepts for both engineering peers and business stakeholders. Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Belarus; Serbia; Georgia; United Arab Emirates; Kazakhstan We are hunting for a talented C/C++ Software Engineer who genuinely loves working with complex data feeds and isn't intimidated by high-stakes technical hurdles. In the world of quantitative trading, data is our lifeblood—meaning our quality standards are incredibly high and the volume of incoming data is massive. This role isn't just about writing code; it's about navigating intricate edge cases and mastering one of the most demanding layers of our engineering infrastructure. If you are someone who enjoys diving deep into technical documentation, obsesses over the details, and takes immense pride in robust engineering, you will thrive here. What will you do: Expand Exchange Connectivity: Build and integrate robust gateways to connect with new financial exchanges globally. Optimize Performance: Fine-tune existing data connectors to minimize ingestion latency and maximize data throughput. Evolve Data Models: Implement support for new and emerging data structures and asset types within our data pipeline. Refactor for Scale: Modernize and re-architect existing solutions to ensure our infrastructure effortlessly scales alongside growing market volumes. Requirements Modern C++ Expertise: Strong hands-on experience writing clean, efficient code using modern standards ( C++17/20 ). High-Throughput Architecture: A proven track record of managing, parsing, and processing massive streams of incoming real-time data. Concurrency & Hardware Savvy: A deep understanding of multithreaded programming, concurrent systems, and CPU memory models. Networking & Systems Mastery: A solid grasp of network protocols, communication layers, and Linux system internals. CS Fundamentals: Strong foundational knowledge of core algorithms and data structures. Global Collaboration: A professional level of written and spoken English to seamlessly partner with our international team. Deep expertise in ultra-low latency, sub-microsecond real-time development. Prior engineering experience in High-Frequency Trading (HFT), telecom routing, or high-performance game engines. Benefits Immediate Impact: Dive into fascinating technical problems featuring ultra-fast feedback loops. Elite Global Network: Collaborate with a welcoming, exceptionally brilliant team of international professionals. Top-Tier Infrastructure: Gain access to state-of-the-art hardware and cutting-edge technological innovations. Ultimate Work Freedom: Work 100% remotely from anywhere on Earth, with full open-door access to any of our physical global offices whenever you like. Premium Perks: Enjoy a flexible schedule, an industry-leading 40 paid days off , and a highly competitive compensation package.

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. QRT's High-Frequency Trading team designs and operates ultra-low-latency systems at global scale. We’re hiring experienced C++ engineers who are passionate about performance, efficiency, and building highly optimized systems. You’ll work on performance-critical systems with direct impact on live trading outcomes. Your future role at QRT: You’ll work across our latency-critical stack - from kernel-level tuning and network optimization to highly efficient C++ components. This role involves close collaboration with our FPGA engineering team as well as our hardware and infrastructure engineers to design end-to-end architectures where every single nanosecond counts. Design and optimize C++ systems for trading, market data, and infrastructure Profile and fine-tune performance across CPU, cache, and memory layers Collaborate with FPGA engineers to integrate hardware and software pathways Your present skillset: 5+ years of experience in performance-critical C++ (C++20 or newer) Strong grasp of systems programming, low-level understanding including memory management and CPU's architectures Deep familiarity with Linux internals, kernel parameters, and low-level profiling Curiosity about hardware, networking, and how systems behave under real load Exposure to FPGA integration, hardware/software co-design, or low-latency hardware acceleration is a plus. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.