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Location: Birmingham, Alabama, 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 We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability. You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments. Your responsibilities will include Leading root cause analysis for complex hardware and firmware failures across production fleets Aggregating recurring problems and error patterns to identify systemic reliability issues Acting as the senior escalation point for hardware-related incidents impacting availability or performance Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions Partnering with internal engineering teams to validate fixes and prevent recurrence Performing hardware and firmware validation before fleet-wide rollout Driving structured incident investigations using established IT problem management methodologies Supporting on-site teams with technical coordination during critical hardware events Improving hardware observability, failure tracking, and reporting processes Contributing to long-term hardware reliability strategy and fleet-wide stability improvements What we expect you to have Strong hands-on expertise with server hardware in data center or large-scale production environments Proven experience performing root cause analysis of hardware and firmware failures Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes Experience working directly with hardware vendors and engineering teams to resolve production issues Structured problem-solving skills using formal IT or incident management methodologies Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns Experience coordinating technical activities with on-site operations teams Ability to manage multiple concurrent investigations with production impact Clear written and verbal communication skills in cross-functional environments It will be an added bonus if you have Experience in GPU-dense, AI, or high-performance computing environments Exposure to firmware lifecycle management and large-scale rollout validation Familiarity with Linux-based production systems and infrastructure tooling Experience improving fleet-wide hardware reliability metrics at scale Working conditions Onsite work in the Birmingham Alabama Data center. Participation in incident escalations for production-impacting events Key employee benefits Comprehensive medical, dental, and vision coverage 401(k) plan with company contribution Flexible paid time off Paid parental leave Professional development support Compensation $125,000 – $180,000 per year plus annual performance-based bonus. #LI-AL1 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 $147,200 — $183,900 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: New Jersey, 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 We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability. You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments. Your responsibilities will include Leading root cause analysis for complex hardware and firmware failures across production fleets Aggregating recurring problems and error patterns to identify systemic reliability issues Acting as the senior escalation point for hardware-related incidents impacting availability or performance Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions Partnering with internal engineering teams to validate fixes and prevent recurrence Performing hardware and firmware validation before fleet-wide rollout Driving structured incident investigations using established IT problem management methodologies Supporting on-site teams with technical coordination during critical hardware events Improving hardware observability, failure tracking, and reporting processes Contributing to long-term hardware reliability strategy and fleet-wide stability improvements What we expect you to have Strong hands-on expertise with server hardware in data center or large-scale production environments Proven experience performing root cause analysis of hardware and firmware failures Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes Experience working directly with hardware vendors and engineering teams to resolve production issues Structured problem-solving skills using formal IT or incident management methodologies Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns Experience coordinating technical activities with on-site operations teams Ability to manage multiple concurrent investigations with production impact Clear written and verbal communication skills in cross-functional environments It will be an added bonus if you have Experience in GPU-dense, AI, or high-performance computing environments Exposure to firmware lifecycle management and large-scale rollout validation Familiarity with Linux-based production systems and infrastructure tooling Experience improving fleet-wide hardware reliability metrics at scale Working conditions Onsite work in the Vineland New Jersey Data center. Participation in incident escalations for production-impacting events Key employee benefits Comprehensive medical, dental, and vision coverage 401(k) plan with company contribution Flexible paid time off Paid parental leave Professional development support Compensation $125,000 – $180,000 per year plus annual performance-based bonus. #LI-AL1 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 $147,200 — $183,900 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: Helsinki, Finland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Team The Unified Privacy Platform team’s mission is to earn the trust of every DoorDash user by upholding their right to privacy, consent, and transparency. We are building a common privacy foundation across DoorDash, Wolt, and Deliveroo so Consumers, Dashers, and Merchants can understand how their data is used, control their choices, and exercise their privacy rights through simple, consistent experiences. Our work is organized around three connected pillars: the Privacy Center, a unified user-facing destination for privacy controls and rights; the Unified Privacy Platform, which captures and enforces consent, policy, jurisdictional requirements, and privacy actions; and Privacy Operations and Intelligence, which gives Legal, Support, Privacy, and engineering operators the workflows, diagnostics, audit history, and automation needed to resolve privacy work safely and efficiently. Together, these capabilities turn fragmented, one-off compliance work into reusable platform primitives that can support new products, brands, and emerging regulations. About the Role DoorDash is looking for an Engineering Manager to lead the Unified Privacy Platform team. You will lead a team of backend and platform engineers responsible for the next generation of privacy and consent infrastructure, including the Privacy Center, the User Consent Platform, privacy-policy decisioning, self-service data-rights experiences, and the operational tooling required to manage privacy cases at global scale. As the Engineering Manager, you will own and execute a multi-year vision for privacy at DoorDash. You will balance legal and regulatory correctness, user trust, security, reliability, and developer velocity while building systems that work consistently across DoorDash, Wolt, and Deliveroo. You will be a strategic partner to Product, Legal, Security, Data Governance, Marketing and Communications, and engineering leadership, establishing clear ownership boundaries and turning complex privacy requirements into scalable, self-service capabilities. You’re excited about this opportunity because you will… Lead and mentor a high-performing team of backend and platform engineers, fostering a culture of ownership, privacy by design, operational excellence, and thoughtful cross-functional partnership Drive the technical strategy across the Privacy Center, the Unified Privacy Platform, and Privacy Operations and Intelligence Build the cross-brand User Consent Platform, including canonical consent state, policy and configuration management, consent SDKs, audit history, and consistent enforcement across products and jurisdictions Deliver simple, self-service experiences for consent and communication preferences, Right to be Forgotten (RTF), Right to Information (RTI), and Data Subject Access Requests (DSARs) Turn emerging privacy and regulatory requirements into standardized platform capabilities instead of one-off product implementations Lead the migration from fragmented legacy consent systems to a single source of truth across DoorDash, Wolt, and Deliveroo, while managing compatibility and safe deprecation Define clear contracts with data-governance fulfillment systems and downstream product and storage teams so privacy actions are traceable, retryable, auditable, and correctly reflected back to users and operators Provide architectural guidance for distributed systems that manage sensitive user choices, policy evaluation, orchestration, secure data delivery, reporting, and immutable audit trails Partner with recruiting to build a diverse and inclusive team, attracting and retaining exceptional engineering talent We’re excited about you because you have… A bachelor’s, master’s, or doctoral degree in Computer Science or a related field, or equivalent practical experience 3+ years of experience in people management leading backend or platform teams 8+ years of industry experience Extensive experience as an engineer or engineering leader in a fast-paced, platform-focused development environment Proven experience designing large-scale distributed systems, service application programming interfaces (APIs), policy or rules engines, workflow orchestration, state machines, data-lifecycle systems, or audit architectures Preferred experience with privacy, consent, data governance, or regulatory systems, including concepts such as the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), California Privacy Rights Act (CPRA), data-subject rights, retention, deletion, and legal holds The ability to translate ambiguous legal, policy, and product requirements into clear platform boundaries, reusable abstractions, and executable roadmaps Strong product sense and the ability to partner effectively with Legal, Product, Design, Security, Data, Marketing, Support, and engineering teams across multiple brands and geographies A growth mindset—you are eager to expand your skills, raise the quality bar, and build enduring systems in a rapidly changing environment Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Задачи: — Разработка маркетинговой стратегии и плана роста на квартал/год — Позиционирование и упаковка продуктов под разные сегменты ЦА — Подготовка и реализация выхода на международный рынок в 2027: анализ рынков, локализация офферов, англоязычные каналы — Планирование и проведение запусков — Прогрев, контент-план запуска, вебинары/эфиры, офферы, дедлайны — Разработка новых продуктов и форматов вместе с основателем — Управление воронкой: Instagram Telegram-бот продажа — Развитие и систематизация каналов: Instagram, YouTube, TikTok, Telegram, email-рассылки — Контроль контента: смыслы, рубрики, распределение по воронке — Лид-магниты (Accent Clarity Diagnostic) и чат-бот сегментация — Запуск и оптимизация платной рекламы (Meta Ads и др.) — Работа с блогерами, коллаборации, партнёрства — Выстраивание системы продаж и скриптов — Контроль конверсий на каждом этапе от лида до оплаты — Постановка задач и контроль SMM, монтажёра, дизайнера, ассистента — Сквозная аналитика: CAC, конверсии, LTV, ROMI — Еженедельные отчёты по метрикам и решения на основе данных Требования: — Опыт в маркетинге/продюсировании онлайн-школ или инфопродуктов от 2х лет — Кейсы запусков с цифрами — Понимание воронок, трафика и аналитики — Английский на уровне, достаточном для работы с международным рынком и бизнесу по акценту — Предпринимательское мышление: мыслишь как совладелец, а не как сотрудник — Инициативность и проактивность — Будет плюсом: опыт выхода на англоязычный рынок, опыт в EdTech Условия: — Оплата: % от чистой прибыли школы с запусков - обсуждается индивидуально — Удалённо - из любой точки мира — Прямая работа с основателем, влияние на все ключевые решения — Участие в выходе на международный рынок с самого начала

Location: Athens, Greece Are you an experienced Network Engineer ready for your next professional challenge? Join EUROPEAN DYNAMICS and contribute to the design, implementation, and support of enterprise network infrastructures for large-scale projects worldwide. Key Responsibilities Design, implement, operate, and troubleshoot enterprise network and network security infrastructure across LAN/WAN environments; Implement and support routing, switching, firewalling, VPN, and network segmentation solutions; Configure and support Application Delivery Controller (ADC), load balancing, and Web Application Firewall (WAF) solutions; Participate in infrastructure projects, network upgrades, migrations, and deployment of new technologies; Maintain network documentation and support operational, security, and change management processes. Requirements Must Have Qualifications Good hands-on experience with enterprise IP networking, routing and switching technologies (BGP, OSPF, VLANs, STP, etc.); Experience with enterprise networking and security solutions; Good understanding of firewalls, VPNs, network segmentation, high availability, and network security principles; Experience with network monitoring, troubleshooting, and diagnostic tools; Strong analytical and troubleshooting skills, with the ability to work effectively both independently and within a team; Cisco CCNA, Fortinet NSE 4, or equivalent knowledge and experience. Nice to Have Qualifications CCNP Enterprise, advanced Fortinet NSE, and/or F5 professional certifications; Experience with Fortinet security solutions and/or F5 BIG-IP platforms; Experience with cloud or hybrid networking environments; Knowledge of network automation and scripting (e.g., Python, Ansible); Familiarity with ITIL, change management, and enterprise operational processes. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( NE/11/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: Savannah, Georgia About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! Purpose: We are looking for an experienced Advanced Provider (Nurse Practitioner or Physician Assistant) to provide primary care to homebound and palliative care patients in Savannah, Georgia area on a PRN basis. You will apply medical techniques and principles under the supervision of a physician, and you will care for a diverse set of patients with chronic diseases. What You'll Do: Provide high quality care to primary and palliative patients in and around Savannah, GA Assess patient's health by performing physical examinations; obtaining, updating, and studying medical histories and creating the best plan for care. Effectively communicate with office staff and clinical operations across various internal platforms Provide high quality, patient centered care to a panel of patients Develop impressions, diagnosis, and treatment plans Foster trust and consult with patients, families, and caregivers during visits Order diagnostic testing as medically necessary Prescribe medications supplies and appropriate medically necessary interventions What You'll Need: Board Certified, with a valid NP or PA certification in the State of Georgia Strong clinical skills with the ability to accurately and confidently treat, assess, and diagnose Positive demeanor and strong people skills Ability to confidently problem solve and operate independently 1-2 years of primary care experience with geriatric patients (hospice experience highly preferred but not required) What you'll get: A flexible schedule - so you can see your patients during a schedule that works for you Autonomy - so you can feel trusted to provide the best care possible. Support - from our in-house clinical team with any requests or orders. Growth - the opportunity to join our growing leadership team Compensation: $Salary+ BONUS #pink Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Location: New York, New York, United States, Boston, Massachusetts, United States Company Overview ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London, Zurich and Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is to inform actionable recommendations that allow companies to achieve their business objectives. At ClearView, you will encounter an entrepreneurial environment, interact with a dynamic group of colleagues, present to clients in critical business situations, and develop a deep understanding of the life sciences and biopharmaceutical industry. You will be mentored directly by ClearView managers, who have a wealth of experience in life sciences consulting. In addition, you will be exposed to a wide variety of business issues including new product planning, pricing & market access, investor services, launch and product commercialization. The Investor pillar is dedicated to creating best practices and frameworks for buy-side and sell-side due diligence teams while advancing the firm's expertise in valuation strategies and deal-making within the healthcare sector.  The team has extensive experience conducting diligences with our clients to maximize research value and provide strategic insights. Role Overview You will interact with both clients and teams within ClearView to address critical strategic questions within the biopharmaceutical space. During the course of a typical project, you will engage in a number of activities, including: Conduct complex problem-solving through a hypothesis-based approach Able to conduct a straightforward project or workstream with moderate oversight Create and utilize analytic tools (e.g., forecast models) to support key decision-making Communicate recommendations to clients to inform strategy and maximize value Qualifications The successful Life Sciences Senior Analyst - Investor Services candidate must have the following skills and experience: Undergraduate or Master’s degree in the life sciences, business, finance or equivalent field Demonstrated experience (18+ months) in consulting, investment banking or financial services industry through a combination of internships and full time positions Extensive experience with modeling with the use of Excel and slide deck creation Strong written and oral communication skills in English Enthusiasm for working collaboratively in a dynamic, team-based environment Demonstrated leadership abilities Highly analytical approach to solving complex problems Ability to work in a hybrid work model out of our New York or Boston office; new hires will be in office 100% during onboarding & training will then go to 80% in office through month nine (9) and then the schedule adjusts to a 50% in office expectation after that The salary range for this position is $110,000 - $115,000 annually.  Actual compensation will be determined based on experience, skills, qualifications, and location. In addition to the base salary, you will be eligible for an annual discretionary performance bonus, and a comprehensive benefits package. What We Value We recognize that not every candidate will meet every qualification listed. If you’re excited about this role and believe you have relevant experience or transferable skills, we encourage you to apply. We value curiosity, a growth mindset, and a commitment to collaboration. Equal Opportunity Employer ClearView Healthcare Partners ("CV") is an Equal Opportunity employer.  All qualified applicants will be considered for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Location: Remote USA Workplace: remote ABOUT YOU We're looking for a commercially driven, analytically sharp, and results-oriented Account Manager to join the Xsolla Offerwall team. This is an exciting opportunity to own the advertiser side of a premium rewarded inventory network at the intersection of mobile gaming, user acquisition, and advertising technology. The best candidate is someone who thrives in a fast-paced, highly collaborative environment and is passionate about helping game studios achieve their acquisition goals through performance-driven advertising. In this client-facing role, you'll build and grow relationships with gaming studios and UA teams, optimizing campaign performance and ensuring partners get measurable results through Xsolla's Offerwall. You'll serve as a trusted advisor to advertisers, translating data into actionable strategies, and collaborate closely with Xsolla's product, operations, and technical teams to continuously improve the partner experience. Strong account management skills, a deep familiarity with mobile gaming and performance advertising, and the ability to balance day-to-day campaign management with long-term partner growth will be key to your success. If you're energized by the intersection of gaming and performance marketing and love building meaningful advertiser relationships, we'd love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services designed to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help fund, distribute, market, and monetize their games. Headquartered in Los Angeles, California, Xsolla has helped over 1,500+ game developers reach more players and grow their businesses around the world. For more information, visit xsolla.com. Responsibilities: Partner Growth & Account Management Guide new publisher integrations from onboarding through launch, nurture long-term monetization partnerships, and expand existing accounts by driving adoption and incremental revenue growth through Xsolla's Offerwall. Balance multiple accounts and priorities in a fast-paced environment, consistently delivering results under shifting timelines. Maintain deep knowledge of mobile advertising, the rewarded ecosystem, and app monetization models to ensure partner strategies stay competitive. Problem Solving & Diagnostics Serve as the first line of defense when a partner reports a performance drop, integration bug, or unexpected revenue anomaly — approaching each issue methodically: isolate the variable, form a hypothesis, and validate it against the data before proposing a fix. Analyze data to uncover trends, diagnose challenges, and recommend optimization strategies that drive measurable revenue impact, distinguishing symptoms from root causes rather than treating surface-level fixes as solutions. Own ambiguous, cross-functional problems end-to-end — coordinating with product, engineering, and operations to identify what's broken, why, and what the right fix is, even when the answer isn't immediately obvious. Anticipate downstream issues before they escalate, using pattern recognition from past partner problems to flag risks proactively rather than reactively. Strategic Relationships & Executive Communication Own and cultivate strategic relationships with senior and executive stakeholders at publisher partners, acting as a trusted advisor rather than a transactional point of contact. Prepare and deliver executive-level business reviews, business cases, and growth roadmaps that translate complex data and problem resolutions into clear, actionable business outcomes for senior decision-makers. Tailor communication style and depth to the audience — distilling technical or operational detail into strategic narratives when presenting to executives, while retaining the ability to go deep on the details with day-to-day partner contacts. Represent Xsolla in high-stakes conversations (renewals, escalations, strategic planning) where executive trust and credibility directly influence partner retention and growth. Collaborate cross-functionally with internal product, operations, and technical teams to implement partner requirements and resolve potential blockers, and know when an issue needs to be surfaced to internal leadership. Qualifications & Skills: Experience 3+ years in digital media, mobile advertising, programmatic, or related SaaS/AdTech account management, sales, or business development. Demonstrated ability to grow client portfolios, negotiate partnerships, and achieve or exceed revenue targets. Problem-Solving Mindset A structured approach to ambiguity — comfortable breaking down a messy, undefined problem into testable pieces rather than waiting for someone else to define the issue. Track record of resolving complex, cross-functional issues independently, knowing when to dig in personally versus when to loop in the right internal stakeholder. Genuine curiosity about "why" — treats every escalation or performance dip as a question to be answered with data, not just a ticket to be closed. Resilience and resourcefulness when the first solution doesn't work; iterates rather than stalls. Analytical Strength Comfortable interpreting data sets (e.g., KPIs such as CPM, CTR, LTV, retention, or ARPU) and translating insights into strategy and root-cause diagnosis. Communication & Executive Presence Exceptional written, verbal, and presentation ability; adept at simplifying technical and performance concepts for diverse audiences, including senior and executive stakeholders. Demonstrated experience managing strategic relationships with VP or C-level contacts, including leading executive business reviews and high-stakes partner conversations. Proven success working with cross-functional groups, particularly product, operations, and technical teams, to drive problems to closure. Industry Knowledge Understanding of mobile ecosystems, rewarded ads, ad monetization strategies, and performance marketing models. Mindset Proactive, entrepreneurial, and results-driven; thrives in fast-moving environments with minimal structure. Views obstacles as puzzles to be solved rather than blockers to be reported. Tools Proficiency in productivity and analytics tools (e.g., Google Sheets, BI dashboards, CRM platforms, and presentation software). Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Demand Account Manager, we will conduct a background check that may include the following:  Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Working with vulnerable populations Handling sensitive financial information/managing budgets/accessing funds Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with thisXsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: New York DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Overview We are looking for a Risk Product Analyst to work directly with Portfolio Managers, Traders, and Quantitative Researchers across multiple trading desks and asset classes.  The role sits at the intersection of trading, risk, and technology. You will be responsible for proactively identifying problems affecting our internal risk and valuation systems, diagnosing them by tracing the cause into the back-end services and infrastructure those systems depend on, and resolving them quickly and effectively. This is a fast-paced, highly collaborative role that requires deep knowledge of products and markets, strong technical skills, and sound judgement under pressure. Responsibilities Partner directly with Portfolio Managers, Traders, and Quantitative Researchers across rates, FX, commodities, equities, and crypto asset classes, serving as their primary point of contact for issues affecting risk and valuation. Diagnose and resolve issues affecting our next-generation risk and valuation systems, investigating across the full technology stack: applications, APIs, databases, messaging systems, and the underlying services that they depend on. Monitor system and trading issues and prioritize incidents based on their potential impact to trading, portfolio management, and P&L. When an issue cannot be resolved directly, identify the appropriate engineering, quantitative, or infrastructure team, and escalate with a clear, reproducible diagnosis that accelerates issue resolution. Work closely with Engineering and Product Management teams to identify recurring problems and drive strategic technology solutions. Develop tools and scripts in Python to automate diagnostics, investigate issues, analyze data, and improve workflows. Build a strong understanding of the firm’s trading and risk infrastructure and the dependencies between systems and underlying services. Qualifications Deep knowledge of financial products (cash instruments, futures, swaps, options) and markets, backed by strong technical skills. Previous experience in trade support, trading technology, production support, or a closely related role within a production trading environment – supporting multiple desks and/or asset classes. Ability to write Python and SQL to investigate issues, automate diagnostics, and query and reconcile data across systems. Familiarity with production diagnostic tooling (log aggregation, dashboards, monitoring, alerting). Strong analytical and problem-solving skills; able to methodically narrow down the source of an issue. Ability to communicate effectively with a varied audience, including portfolio managers, traders, quantitative researchers, engineers, and product managers. Who We’re Looking For The ideal candidate combines strong market and product knowledge with technical depth and is commercially aware and comfortable operating at the intersection of trading and technology. You should be able to take an instruction like “ my risk numbers look wrong ” and work through it independently by understanding what the front office is trying to do, investigating the relevant systems and services, determining where the failure is occurring, and either resolving it or routing it to the appropriate team with a clear diagnosis. This is not a role where success is measured by closing support tickets.  We are looking for someone who understands the trading domain, can solve problems, and can build strong relationships with the people running the firm’s trading strategies. The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DW1

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Overview We are looking for a Risk Product Analyst to work directly with Portfolio Managers, Traders, and Quantitative Researchers across multiple trading desks and asset classes.  The role sits at the intersection of trading, risk, and technology. You will be responsible for proactively identifying problems affecting our internal risk and valuation systems, diagnosing them by tracing the cause into the back-end services and infrastructure those systems depend on, and resolving them quickly and effectively. This is a fast-paced, highly collaborative role that requires deep knowledge of products and markets, strong technical skills, and sound judgement under pressure. Responsibilities Partner directly with Portfolio Managers, Traders, and Quantitative Researchers across rates, FX, commodities, equities, and crypto asset classes, serving as their primary point of contact for issues affecting risk and valuation. Diagnose and resolve issues affecting our next-generation risk and valuation systems, investigating across the full technology stack: applications, APIs, databases, messaging systems, and the underlying services that they depend on. Monitor system and trading issues and prioritize incidents based on their potential impact to trading, portfolio management, and P&L. When an issue cannot be resolved directly, identify the appropriate engineering, quantitative, or infrastructure team, and escalate with a clear, reproducible diagnosis that accelerates issue resolution. Work closely with Engineering and Product Management teams to identify recurring problems and drive strategic technology solutions. Develop tools and scripts in Python to automate diagnostics, investigate issues, analyze data, and improve workflows. Build a strong understanding of the firm’s trading and risk infrastructure and the dependencies between systems and underlying services. Qualifications Deep knowledge of financial products (cash instruments, futures, swaps, options) and markets, backed by strong technical skills. Previous experience in trade support, trading technology, production support, or a closely related role within a production trading environment – supporting multiple desks and/or asset classes. Ability to write Python and SQL to investigate issues, automate diagnostics, and query and reconcile data across systems. Familiarity with production diagnostic tooling (log aggregation, dashboards, monitoring, alerting). Strong analytical and problem-solving skills; able to methodically narrow down the source of an issue. Ability to communicate effectively with a varied audience, including portfolio managers, traders, quantitative researchers, engineers, and product managers. Who We’re Looking For The ideal candidate combines strong market and product knowledge with technical depth and is commercially aware and comfortable operating at the intersection of trading and technology. You should be able to take an instruction like “ my risk numbers look wrong ” and work through it independently by understanding what the front office is trying to do, investigating the relevant systems and services, determining where the failure is occurring, and either resolving it or routing it to the appropriate team with a clear diagnosis. This is not a role where success is measured by closing support tickets.  We are looking for someone who understands the trading domain, can solve problems, and can build strong relationships with the people running the firm’s trading strategies. The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DW1

Location: Upstate New York Travel Ultrasound Technician Location: New York Schedule: Full-time (5 days per week) Employment Type: 1099 Salary per annum: $75,000 - $110,000 Travel Requirement: 100% travel throughout Upstate New York About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities. Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary We are seeking a skilled and motivated Ultrasound Technician to join our dynamic team. This is a highly mobile, traveling position responsible for providing diagnostic imaging and cardiovascular testing services across skilled nursing and long-term care facilities. The Ultrasound Technician must be comfortable with extensive travel, including assignments throughout Upstate New York. The ideal candidate will have strong hands-on experience performing EKGs, 2D Echocardiograms, vascular Doppler studies, and diagnostic ultrasound procedures. This individual will play an important role in delivering high-quality diagnostic services while ensuring resident comfort, safety, and professionalism. Responsibilities Perform diagnostic ultrasound procedures, including abdominal, pelvic, obstetric, and vascular imaging. Perform 2D Echocardiograms (Echos) to obtain diagnostic cardiac images. Perform vascular Doppler studies, including venous, arterial, and carotid examinations. Perform EKGs/Electrocardiograms accurately and efficiently. Operate ultrasound, EKG, and related diagnostic equipment to capture high-quality diagnostic images and readings. Prepare and properly position residents for ultrasound, Echo, Doppler, and EKG examinations. Explain procedures to residents to promote understanding, cooperation, and comfort. Review ultrasound and cardiovascular images for image quality and completeness. Provide preliminary findings and diagnostic information to physicians and appropriate clinical personnel in a timely manner. Maintain accurate patient records, imaging documentation, and reports in accordance with applicable healthcare regulations and organizational standards. Follow all safety protocols, infection-control procedures, and equipment-cleaning requirements. Travel extensively to skilled nursing and long-term care facilities throughout Upstate New York. Utilize personal or company-provided transportation as required. Communicate professionally and effectively with residents, physicians, nursing staff, facility leadership, and administrative personnel. Manage scheduling and travel efficiently while meeting assigned facility and patient-service requirements. Maintain diagnostic equipment and promptly report any equipment concerns or maintenance needs. Stay current with developments in ultrasound, cardiovascular imaging, EKG technology, and industry best practices through ongoing education and training. Requirements Certification in at least one of the following: ARDMS – American Registry for Diagnostic Medical Sonography CCI – Cardiovascular Credentialing International RVT – Registered Vascular Technologist/Technician Valid Driver’s License required. Reliable personal transportation and access to a vehicle required. Proven professional experience working as an Ultrasound Technician or Diagnostic Medical Sonographer. Required hands-on experience performing EKGs. Required experience performing 2D Echocardiograms. Required experience performing vascular Doppler studies, including venous, arterial, and carotid studies. Strong knowledge of diagnostic ultrasound procedures, techniques, equipment, and image-quality standards. Ability to work independently in multiple healthcare facilities. Strong organizational and time-management skills. Excellent communication and interpersonal skills. High attention to detail and commitment to accurate diagnostic testing. Commitment to providing compassionate, high-quality care to residents in skilled nursing and long-term care settings. Flexibility to accommodate varying schedules, facility needs, and travel assignments. Ability and willingness to travel extensively throughout Upstate New York. 100% travel commitment required. Physical Requirements Ability to stand and/or sit for prolonged periods. Ability to assist with patient positioning. Ability to operate ultrasound, EKG, and other diagnostic equipment. Ability to lift up to approximately 20 pounds as needed. Ability to assist with lifting and/or moving patients when appropriate. Ability to transport diagnostic equipment between facilities and assigned locations. Benefits Competitive salary per annum: $75,000 - $110,000 Paid Time Off Why Work With Us? Make a meaningful impact on the lives of seniors. Provide essential diagnostic services directly to residents in skilled nursing and long-term care settings. Gain experience working across multiple locations and geographic markets. Work in a collaborative, mission-driven healthcare environment. Equal Opportunity Employer Infinite Medical P.C. is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We are committed to creating and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C. is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender, including pregnancy, childbirth. #INDL

Location: Pennsylvania Travel Ultrasound Technician Location: Pennsylvania Schedule: Full-time (5 days per week) Employment Type: 1099 Salary per annum: $75,000 - $110,000 Travel Requirement: 100% throughout Pennsylvania About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities. Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary We are seeking a skilled and motivated Ultrasound Technician to join our dynamic team. This is a highly mobile, traveling position responsible for providing diagnostic imaging and cardiovascular testing services across skilled nursing and long-term care facilities. The Ultrasound Technician must be comfortable with extensive travel, including assignments throughout Pennsylvania. The ideal candidate will have strong hands-on experience performing EKGs, 2D Echocardiograms, vascular Doppler studies, and diagnostic ultrasound procedures. This individual will play an important role in delivering high-quality diagnostic services while ensuring resident comfort, safety, and professionalism. Responsibilities Perform diagnostic ultrasound procedures, including abdominal, pelvic, obstetric, and vascular imaging. Perform 2D Echocardiograms (Echos) to obtain diagnostic cardiac images. Perform vascular Doppler studies, including venous, arterial, and carotid examinations. Perform EKGs/Electrocardiograms accurately and efficiently. Operate ultrasound, EKG, and related diagnostic equipment to capture high-quality diagnostic images and readings. Prepare and properly position residents for ultrasound, Echo, Doppler, and EKG examinations. Explain procedures to residents to promote understanding, cooperation, and comfort. Review ultrasound and cardiovascular images for image quality and completeness. Provide preliminary findings and diagnostic information to physicians and appropriate clinical personnel in a timely manner. Maintain accurate patient records, imaging documentation, and reports in accordance with applicable healthcare regulations and organizational standards. Follow all safety protocols, infection-control procedures, and equipment-cleaning requirements. Travel extensively to skilled nursing and long-term care facilities throughout Pennsylvania. Utilize personal or company-provided transportation as required. Communicate professionally and effectively with residents, physicians, nursing staff, facility leadership, and administrative personnel. Manage scheduling and travel efficiently while meeting assigned facility and patient-service requirements. Maintain diagnostic equipment and promptly report any equipment concerns or maintenance needs. Stay current with developments in ultrasound, cardiovascular imaging, EKG technology, and industry best practices through ongoing education and training. Requirements Certification in at least one of the following: ARDMS – American Registry for Diagnostic Medical Sonography CCI – Cardiovascular Credentialing International RVT – Registered Vascular Technologist/Technician Valid Driver’s License required. Reliable personal transportation and access to a vehicle required. Proven professional experience working as an Ultrasound Technician or Diagnostic Medical Sonographer. Required hands-on experience performing EKGs. Required experience performing 2D Echocardiograms. Required experience performing vascular Doppler studies, including venous, arterial, and carotid studies. Strong knowledge of diagnostic ultrasound procedures, techniques, equipment, and image-quality standards. Ability to work independently in multiple healthcare facilities. Strong organizational and time-management skills. Excellent communication and interpersonal skills. High attention to detail and commitment to accurate diagnostic testing. Commitment to providing compassionate, high-quality care to residents in skilled nursing and long-term care settings. Flexibility to accommodate varying schedules, facility needs, and travel assignments. Ability and willingness to travel extensively to Pennsylvania. 100% travel commitment required. Physical Requirements Ability to stand and/or sit for prolonged periods. Ability to assist with patient positioning. Ability to operate ultrasound, EKG, and other diagnostic equipment. Ability to lift up to approximately 20 pounds as needed. Ability to assist with lifting and/or moving patients when appropriate. Ability to transport diagnostic equipment between facilities and assigned locations. Benefits Competitive salary per annum: $75,000 - $110,000 Paid Time Off Why Work With Us? Make a meaningful impact on the lives of seniors. Provide essential diagnostic services directly to residents in skilled nursing and long-term care settings. Gain experience working across multiple locations and geographic markets. Work in a collaborative, mission-driven healthcare environment. Equal Opportunity Employer Infinite Medical P.C. is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We are committed to creating and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C. is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender, including pregnancy, childbirth. #INDL

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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is an unusually demanding distributed system. Training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts, exchange data continuously, and have to keep making progress while hardware fails, load shifts, and the research changes underneath them. How well that system holds together determines how much of our compute turns into learning, and how quickly the team can try the next idea. As a Research Engineer on the Distributed Systems team within RL Engineering, you'll work on whatever part of that system is the current limit. That might be scheduling and placement, data movement between components, running large numbers of sandboxed environments, storage and checkpointing, networking, fault tolerance, autoscaling, or the observability that tells us what a run is actually doing. We're looking for generalists: engineers who can move between these layers, reason from first principles about a system they haven't seen before, and pick the problem that matters most rather than the one closest to their prior experience. Our system changes as fast as the research does, correctness under failure matters as much as throughput, and the best solutions often come from understanding the ML workload well enough to know which guarantees it actually needs. Strong candidates have built and run large distributed systems, care about getting the details right, and want to apply that experience to a workload that is very large, very heterogeneous, and changing quickly. Key responsibilities Design, build, and operate the distributed systems that run RL at scale, across training, sampling, and environment execution Find and remove whatever currently limits the system, whether it's scheduling, data movement, storage, networking, or coordination Build fault tolerance into every layer: failure detection, isolation, and recovery that keep long-running jobs making progress without human intervention Design resource management and autoscaling so that compute follows demand as a run's needs shift Build observability that makes it possible to understand what a run is doing and why it slowed down, stalled, or produced unexpected results Build automation that detects and remediates common problems, and design interfaces that let engineers and automated tools operate runs safely Work with researchers and performance engineers to make sure systems changes preserve training correctness and don't introduce subtle nondeterminism Remove classes of failure at their source through incident review, testing, and redesign, and write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems in production Deep understanding of distributed systems fundamentals, including consistency, coordination, consensus, failure modes, and recovery Ability to reason quantitatively about throughput, latency, and resource costs across compute, memory, storage, and network Experience debugging complex failures across many hosts and services, including failures you can't reproduce locally Strong written communication, including design documents and incident writeups Preferred qualifications Experience running ML training or inference infrastructure at scale Experience across several layers of the stack, such as scheduling, storage, networking, and orchestration Experience building schedulers, autoscalers, or resource management systems Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience with high-performance networking, RDMA, or collective communication libraries Experience building observability or automated remediation for large fleets Experience with async Python frameworks such as Trio or asyncio Familiarity with reinforcement learning or large language model training workloads Representative projects Design a scheduler that places training, sampling, and environment work across a heterogeneous cluster while respecting network topology and failure domains Build a failure detection and recovery system that lets a long-running job survive host and network failures with minimal lost work Scale environment execution substantially without increasing tail latency for the training step Design an autoscaling policy that rebalances compute across components as a run's bottleneck shifts Build a diagnostics system that explains why a run's throughput dropped and proposes a fix Trace a rare data corruption bug across many services to a race condition in a recovery path, and redesign the path so the class of bug can't recur Design the operational interface for a run so that automated tools can safely diagnose and adjust it under human oversight 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: $500,000 — $850,000 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: AZ_Mesa_HQ Position Overview We are seeking an experienced Senior Database Engineer to own the design, performance, and operational integrity of the relational data platform behind our mobility products. This is a hands-on senior individual contributor role accountable for schema architecture, migration safety, query performance, and data durability across a high-volume, multi-tenant transaction platform running on Amazon Web Services (AWS). You will work alongside software engineers, platform and DevOps engineers, and architects, partnering closely with Product, QE, and Information Security to support hundreds of microservices that read and write shared operational data stores. Success in this role is measured by query and transaction performance, the safety and cadence of schema change, data durability against recovery objectives, and the retirement of data-access patterns that constrain platform scalability. Essential Responsibilities Schema Design & Change Management Own the relational schema for the core operational platform — entity and domain modeling, normalization decisions, constraint and index design, and reference and seed data managed as versioned, reviewable artifacts. Author and review database migrations as code, enforcing backward-compatible, zero-downtime change patterns (expand/contract, dual-write, backfill-then-cut) so that schema releases decouple from application releases. Maintain migration history as the authoritative record of applied state across every environment and tenant, including drift detection and reconciliation where environments have diverged. Define and enforce standards for constraints, foreign keys, nullability, and uniqueness so that data integrity is guaranteed by the database rather than by application convention. Performance Engineering & Query Optimization Profile and tune high-volume OLTP workloads: execution plan analysis, index strategy, partitioning, planner statistics and behavior, connection pooling, and vacuum and autovacuum tuning. Diagnose and remediate latency and timeout failures end to end, including cases where the database is the symptom rather than the cause — client-side timeout misconfiguration, retry storms, N+1 access patterns, and repeated plan regeneration. Establish query performance budgets and regression detection so that performance is validated before release rather than discovered in production. Review transaction boundaries, isolation levels, and locking strategy to ensure correctness under concurrency — including explicit row-level locking where read-then-write races would otherwise permit duplicate or conflicting processing. Data Architecture & Platform Modernization Lead the consolidation of data access away from generated API layers and ad-hoc SQL embedded in application code, toward typed, reusable domain services with clear ownership boundaries. Reduce third-party data-layer dependencies and associated licensing exposure by staging replacements at the infrastructure seam, environment by environment, with no change in application behavior. Support migration of client data from legacy platforms, including mapping, transformation, load, and formal reconciliation against source-of-record counts and balances. Partner with Architecture on the separation of transactional and analytical workloads, reporting replicas, and downstream data warehouse feeds. Reliability, Backup & Disaster Recovery Own backup, point-in-time recovery, replication, and failover configuration, and validate it through real restore exercises rather than assumed capability. Ensure recovery configuration meets contractual RPO and RTO commitments, and produce the evidence that demonstrates compliance. Build database observability — wait events, slow query capture, replication lag, connection saturation, and storage and IOPS headroom — and define SLIs for the data tier. Participate in on-call rotations and act as an incident responder for data-tier events, contributing to root-cause analysis and tracking corrective actions to completion. Security, Privacy & Compliance Implement encryption at rest and in transit, key management, and least-privilege database access; replace shared and long-lived credentials with managed identity and short-lived tokens. Protect regulated and personally identifiable data — including vehicle, registered-owner, and payment data — through access controls, masking in non-production environments, and defensible retention and purge processes. Cross-Functional Collaboration Partner with Software Engineering so that new services adopt approved data-access patterns, migration tooling, and performance review from day one rather than retrofitting them later. Review application data access during code review, and coach engineers on query construction, indexing implications, and transaction scope. Document schema ownership, data dictionaries, runbooks, and recovery procedures so that the platform does not depend on any single person’s knowledge. Respond to system issues, participate in high-priority incident calls, and support emergency activities outside of standard hours as needed. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience. 6+ years of experience in database engineering, data platform engineering, or production database administration, including 3+ years working with PostgreSQL at production scale. Deep, demonstrable PostgreSQL expertise: execution plan analysis, index and partitioning strategy, autovacuum and bloat management, connection pooling, and lock and deadlock diagnosis. Production experience with managed cloud databases (Amazon Aurora PostgreSQL or RDS preferred), including backup and point-in-time recovery, read replicas, and failover testing. Hands-on experience with schema migration tooling integrated into CI/CD (Flyway, Liquibase, Alembic, Sqitch, or comparable) and with zero-downtime schema change patterns. Strong command of transaction semantics — isolation levels, locking, and concurrency correctness — and the ability to reason about race conditions in application code, not only in the database. Advanced SQL, plus proficiency in at least one of: Python, TypeScript/JavaScript, Go, or Bash for tooling and automation. Working experience provisioning and changing database infrastructure as code (CloudFormation, Terraform, or comparable). Experience with database observability and diagnostic tooling (Performance Insights, pg_stat_statements, CloudWatch, Datadog, or comparable APM). Clear, concise written and verbal communication, including the ability to explain data-tier trade-offs to engineers and to non-technical stakeholders. Preferred Qualifications Experience in mobility, transportation, tolling, parking, payments, or other regulated, high-volume transaction-processing environments. Experience with GraphQL data-access layers (Hasura, PostGraphile, or similar), and with migrating applications off a generated-API layer onto typed service interfaces. Multi-tenant data architecture at scale, including per-tenant account or database isolation and the operational overhead it carries. Event streaming and change data capture (Apache Kafka / Amazon MSK, Debezium, transactional outbox patterns) and the consistency guarantees involved. Large-scale data migration from legacy platforms, with formal reconciliation and cutover planning. Exposure to compliance regimes such as SOX, SOC 2, PCI-DSS, or ISO 27001. Analytical and data warehouse platforms (Redshift, Snowflake, dbt) and transactional-to-analytical replication. Working familiarity with Oracle or SQL Server for legacy interoperability. Relevant certifications: AWS Certified Database — Specialty, AWS Solutions Architect, or a PostgreSQL certification. What Success Looks Like in the First 9 Months Within 90 days: ramped up on the core schema, migration pipeline, and environment topology; owning the migration review process and holding a prioritized baseline of the platform’s highest-cost queries. Within 6 months: delivered measurable latency reduction on owned workloads; validated backup and recovery against stated objectives through an actual restore exercise; actively participating in the on-call rotation. Within 9 months: recognized as the owner of platform data architecture; retired at least one significant constraint — a legacy data-access dependency, a licensing exposure, or a recurring class of performance failure; mentoring engineers and setting standards the team follows. Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Real-World Test Lab Physical AI doesn't get graded on a leaderboard. It gets graded on a factory floor at shift change, in a substation with no GPS, on a site where the lighting is wrong and the stakes are real. The Real-World Test Lab closes the gap between the benchmark and the field. We bring the customer's world inside our walls - their devices, their environments, their hardest conditions, and their definition of success - and make it the bar every release has to clear. As Niantic Spatial's first and most demanding customer, we push our reconstruction, localization, and spatial understanding to their limits, find where they shine and where they break, and turn that into evidence that shapes what we build next. It's a new team at the frontier of physical AI, and you'll help invent how the job is done. About the Role We're hiring an AI Automation Engineer, reporting to the Director of the Real-World Test Lab, to build the system that produces our evidence. Today our evaluations are manual, inconsistent, and slow. You'll design and own the automation that runs them end to end on every relevant release, with no human driving it, turning one-off experiments into an always-on service the whole company relies on. This role is about owning the evidence, not executing a test plan. You'll decide how each workflow gets exercised, and you'll be measured on whether the company can trust the results, not on how much automation exists. The work counts when it keeps running correctly months later, without you in the loop. You believe evaluation is engineering, not process. You've built systems that test other systems, and you know the difference between a script that works on your laptop and infrastructure a team can trust. When a result couldn't be reproduced, you fixed the tooling instead of arguing about the number. What You'll Do - Build the Evaluation Machine - Own the automation that executes Lab evaluations end to end: environment setup, run orchestration, artifact capture, and result collection. Make reruns free so we test constantly rather than occasionally. - Make Results Comparable - Instrument scorecards so a result can be compared across product versions, devices, and capture conditions. A number without its lineage is not evidence. - Automate the Agent-Driven Layer - Build the agent workflows that exercise priority customer use cases at realistic scale, across the graded difficulty spectrum from easy to frontier, and be honest about where agents cannot yet replace human judgment. - Kill Manual Work Permanently - Convert one-off experiments into standing protocols that run on every relevant release. Automate recurring inspection wherever it can be automated, and route what genuinely cannot to scalable human review. - Make Failures Actionable - Produce diagnostics precise enough that a finding reaches its owner with a reproducible case and data attached. Findings that need re-investigation before anyone can act on them are half-finished. - Keep Data From Being the Bottleneck - Work with the AI Data Manager so every run is reproducible from a known dataset state, without anyone downloading and re-uploading data by hand. What Success Looks Like - 30 days: One priority workflow evaluated end to end with no manual steps, with results in a comparable scorecard. - 60 days: Evaluations trigger automatically on relevant releases, with diagnostics that route failures to the right owners. - 90 days: Three priority workflows under standing automated evaluation, with version-over-version comparison for leadership. What You'll Bring - Built and maintained production-grade automation or test infrastructure that other engineers relied on daily. - Experience evaluating systems where correctness is graded rather than binary, meaning quality, accuracy, or latency thresholds rather than pass/fail assertions. - Strong Python, with fluency in orchestration, CI-style pipelines, cloud storage, and reproducible environments. - Worked with backend services and APIs you did not own, integrating against them without becoming a bottleneck for their team. - Written up a technical finding clearly enough that a non-author could act on it without a meeting. - A bachelor's degree in a relevant field, or equivalent experience. Nice to Have - Built agent-based or LLM-driven automation for a task that previously required human judgment. - Worked on evaluation or benchmarking for computer vision, 3D reconstruction, or spatial systems. - Instrumented dashboards or scorecards that leadership used for release decisions. - Operated data provisioning or registry infrastructure across multiple environments and access models. Competencies - Intellectually honest. You design tests that produce answers people can trust, and you refuse to let a benchmark imply more than the evidence supports — including when the honest answer is inconvenient for your own work. - Pragmatic. You find the fastest path to a defensible result without going through one-way doors that undermine scaling. You have no patience for building infrastructure nobody has asked for yet. - AI-forward by instinct. You reach for agents and LLM-driven automation before you reach for headcount, and you're rigorous about verifying what they produce. - Builds for other people. You've maintained something after the initial excitement wore off. Your tooling is documented, your failures are legible, and colleagues use what you build without asking you to run it for them. Compensation & Benefits Base salary range of $158,400 to $210,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Birmingham, Alabama, 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 operates large-scale, GPU-dense AI infrastructure across mission-critical data center environments. As a Senior Delivery Deployment Engineer, you will own the end-to-end delivery, deployment, and production readiness of next-generation GPU platforms inside our data centers. This role sits at the intersection of hardware, Linux systems, and operational execution. You will lead on-site rack bring-up, validate NVIDIA-based AI systems, coordinate repairs, and ensure GB-series infrastructure moves from installation to fully operational production environments with precision and reliability. You will collaborate closely with hardware engineering, networking, and infrastructure teams to deploy and stabilize H200 and B200-based GPU systems at scale. Your responsibilities will include: Lead end-to-end deployment of GB-series racks within data center environments Oversee installation, bring-up, validation, and production readiness of NVIDIA H200 and B200-based servers Troubleshoot complex hardware, firmware, Linux OS, and networking issues Execute structured testing and validation procedures during deployment Develop and maintain basic Linux-based hardware health-check and diagnostic scripts Coordinate on-site hardware repairs, part replacements, and vendor escalations Drive root cause analysis and ensure corrective actions are implemented Manage and prioritize deployment timelines across multiple concurrent rollouts Provide technical leadership and guidance to on-site engineers and technicians Partner with networking and infrastructure teams to ensure seamless integration Document deployment processes, validation standards, and operational runbooks What we expect you to have: Strong hands-on experience deploying and operating data center infrastructure Deep familiarity with GPU-dense systems, ideally NVIDIA H-series platforms Experience working with high-density rack deployments (GB-series or similar) Solid Linux experience, including troubleshooting and scripting Ability to diagnose issues across hardware, OS, firmware, and network layers Experience coordinating field repairs and working directly with hardware vendors Proven experience leading technical teams or overseeing field operations High ownership mindset and ability to operate in production-critical environments Clear communication skills and ability to collaborate across distributed teams It will be an added bonus if you have: Experience deploying AI or HPC clusters at scale Familiarity with automated provisioning or infrastructure lifecycle systems Background in hardware qualification, burn-in testing, or factory validation Experience supporting rapid infrastructure expansion Exposure to ARM-based or heterogeneous compute environments Working conditions: Collaboration with globally distributed engineering and operations teams Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families 401(k) plan: up to 4% company match with immediate vesting Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers Remote work reimbursement: up to $85/month for mobile and internet Disability & life insurance: company-paid short-term, long-term, and life insurance coverage Compensation We offer competitive salaries, ranging from $112k- $140k base + quarterly performance bonuses. Join Nebius today and help build the software that powers the next generation ofAI infrastructure. #LI-AL1 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 $112,000 — $140,000 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: Armenia; Bulgaria; Spain; Albania; Ukraine; Greece; Croatia; Serbia; Poland; Moldova; Portugal; Italy; Türkiye; Montenegro; Romania Workplace: Remote Location: Fully remote, EU timezone (CET ±2h) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / GPU Infrastructure ABOUT THE OPPORTUNITY Pragmatike is hiring a Senior SRE / Infrastructure Engineer to help operate and scale a distributed infrastructure platform spanning bare-metal GPU nodes, Kubernetes, virtualization, networking, and multi-site environments. You’ll work close to the infrastructure itself, from BMCs, hardware and MAAS provisioning through Kubernetes, networking, observability, automation, and site operations. This is a hands-on role for someone who enjoys owning infrastructure end-to-end, building reliable systems, and automating everything that can be automated. Startup or hyper-growth experience is a strong plus: autonomy, ownership, and speed matter here. WHAT YOU’LL DO - Operate and maintain large-scale Linux infrastructure across Debian/Ubuntu-based bare-metal and virtualized environments. - Own MAAS-based bare-metal provisioning, including region/rack controllers, PXE, commissioning, cloud-init, node lifecycle, and API/CLI automation. - Operate and maintain production Kubernetes clusters, including upgrades, node pools, networking, storage, security hardening, and troubleshooting. - Design and maintain multi-site networking across VLANs, L2/L3 routing, bonded interfaces, VPNs, firewalls, and DNS. - Automate infrastructure provisioning and operations using Ansible, Bash/Python, OpenTofu/Terraform, and Git-based workflows. - Build and maintain automated deployment workflows including PXE, Preseed, and cloud-init. - Operate observability platforms using Prometheus, Grafana, Alertmanager, VictoriaMetrics/VictoriaLogs, or comparable tooling. - Define and improve SLIs, SLOs, alerting, and reliability practices across infrastructure and platform services. - Lead infrastructure incident response, troubleshooting, escalation, and post-incident improvements. - Maintain on-call processes and operational coverage across distributed environments. - Work close to the hardware layer, including IPMI/Redfish, BMCs, RAID, storage, hardware diagnostics, and GPU infrastructure. - Manage virtualization platforms including Proxmox, KVM/libvirt, OpenStack, or VMware, including GPU passthrough where required. - Build and maintain internal infrastructure tooling for host discovery, configuration, IPAM, hardware health, and operational automation. - Own infrastructure lifecycle activities including site onboarding, maintenance, decommissioning, drift detection, and operational runbooks. - Work closely with engineering and cross-functional teams to improve reliability, resource utilization, and operational efficiency. WHAT WE’RE LOOKING FOR - 5+ years of hands-on SRE, Infrastructure, Systems, or Platform Engineering experience. - Expert-level Linux administration, particularly Debian/Ubuntu. - Strong production experience with MAAS and bare-metal provisioning. - Expert-level, hands-on experience operating Kubernetes in production, including cluster lifecycle, networking, storage, upgrades, and troubleshooting. - Strong network engineering skills across VLANs, L2/L3 routing, bonding, VPNs, firewalls, and DNS. - Strong automation skills with Ansible, Bash and/or Python. - Experience with Terraform/OpenTofu and Git-based infrastructure workflows. - Production experience with Prometheus/Grafana or comparable observability platforms. - Experience with incident response, on-call operations, monitoring, alerting, and reliability practices. - Experience with Proxmox, KVM/libvirt, OpenStack, VMware, or comparable virtualization technologies. - Experience with bare-metal hardware, BMCs, IPMI/Redfish, storage, and hardware troubleshooting. - Strong understanding of distributed systems, container orchestration, and infrastructure reliability. - Experience with infrastructure security including RBAC, firewalls, network policies, secrets management, and security hardening. - Ability to create SOPs, runbooks, and operational processes from scratch. - Comfortable working autonomously in a fast-paced, engineering-driven environment. NICE TO HAVE - Experience operating GPU infrastructure or GPU-heavy Kubernetes/bare-metal environments. - Proxmox VE with ZFS/Ceph and GPU passthrough. - VictoriaMetrics / VictoriaLogs or similar large-scale observability platforms. - NetBox or other IPAM / infrastructure inventory platforms. - Vault, SOPS, Atlantis, or similar infrastructure security and automation tooling. - Experience with Cloudflare APIs, DNS automation, or tunnels. - Experience with UniFi or comparable site networking platforms. - Experience with service mesh or advanced CNI implementations. - Go experience, particularly for infrastructure tooling or custom exporters. - Experience with Ceph or distributed databases running on bare metal. - Experience operating infrastructure across multiple sites and timezones. - Experience establishing SRE frameworks and reliability practices in growing organizations. WHY JOIN US - 100% remote with flexible working hours - High-impact role with significant technical ownership and autonomy - Work directly with bare-metal, Kubernetes, networking, and GPU infrastructure - International, engineering-driven team - Strong focus on automation, reliability, and infrastructure at scale - Opportunity to shape the architecture and operational foundations of a growing cloud platform Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Overview We are looking for a Risk Product Analyst to work directly with Portfolio Managers, Traders, and Quantitative Researchers across multiple trading desks and asset classes.  The role sits at the intersection of trading, risk, and technology. You will be responsible for proactively identifying problems affecting our internal risk and valuation systems, diagnosing them by tracing the cause into the back-end services and infrastructure those systems depend on, and resolving them quickly and effectively. This is a fast-paced, highly collaborative role that requires deep knowledge of products and markets, strong technical skills, and sound judgement under pressure. Responsibilities Partner directly with Portfolio Managers, Traders, and Quantitative Researchers across rates, FX, commodities, equities, and crypto asset classes, serving as their primary point of contact for issues affecting risk and valuation. Diagnose and resolve issues affecting our next-generation risk and valuation systems, investigating across the full technology stack: applications, APIs, databases, messaging systems, and the underlying services that they depend on. Monitor system and trading issues and prioritize incidents based on their potential impact to trading, portfolio management, and P&L. When an issue cannot be resolved directly, identify the appropriate engineering, quantitative, or infrastructure team, and escalate with a clear, reproducible diagnosis that accelerates issue resolution. Work closely with Engineering and Product Management teams to identify recurring problems and drive strategic technology solutions. Develop tools and scripts in Python to automate diagnostics, investigate issues, analyze data, and improve workflows. Build a strong understanding of the firm’s trading and risk infrastructure and the dependencies between systems and underlying services. Qualifications Deep knowledge of financial products (cash instruments, futures, swaps, options) and markets, backed by strong technical skills. Previous experience in trade support, trading technology, production support, or a closely related role within a production trading environment – supporting multiple desks and/or asset classes. Ability to write Python and SQL to investigate issues, automate diagnostics, and query and reconcile data across systems. Familiarity with production diagnostic tooling (log aggregation, dashboards, monitoring, alerting). Strong analytical and problem-solving skills; able to methodically narrow down the source of an issue. Ability to communicate effectively with a varied audience, including portfolio managers, traders, quantitative researchers, engineers, and product managers. Who We’re Looking For The ideal candidate combines strong market and product knowledge with technical depth and is commercially aware and comfortable operating at the intersection of trading and technology. You should be able to take an instruction like “ my risk numbers look wrong ” and work through it independently by understanding what the front office is trying to do, investigating the relevant systems and services, determining where the failure is occurring, and either resolving it or routing it to the appropriate team with a clear diagnosis. This is not a role where success is measured by closing support tickets.  We are looking for someone who understands the trading domain, can solve problems, and can build strong relationships with the people running the firm’s trading strategies. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DW1