Вакансии

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 AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities: Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity Design and implement monitoring and observability systems across the token path Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud provider Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you: Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet Think holistically about how systems compose and where the seams are Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions Care about users and feel ownership over outcomes, even for systems you don't own Have excellent communication and collaboration skills -- you'll be partnering across the entire company Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between. Strong candidates may also: Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems Have experience operating large-scale model serving or training infrastructure (>1000 GPUs) Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium) Understand ML-specific networking optimizations like RDMA and InfiniBand Have expertise in AI-specific observability tools and frameworks Have experience with chaos engineering and systematic resilience testing Have contributed to open-source infrastructure or ML tooling. 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: $325,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Dublin, IE 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 Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it. AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity. Design and implement monitoring and observability systems across the token path. Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements. Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs. Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet. Think holistically about how systems compose and where the seams are. Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions. Care about users and feel ownership over outcomes, even for systems you don't own. Have excellent communication and collaboration skills -- you'll be partnering across the entire company. Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between. Strong candidates may also Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems Have experience operating large-scale model serving or training infrastructure (>1000 GPUs). Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium). Understand ML-specific networking optimizations like RDMA and InfiniBand. Have expertise in AI-specific observability tools and frameworks. Have experience with chaos engineering and systematic resilience testing. Have contributed to open-source infrastructure or ML tooling. 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: €235.000 — €295.000 EUR 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. 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: London, UK 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 Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it. AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity. Design and implement monitoring and observability systems across the token path. Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements. Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs. Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet. Think holistically about how systems compose and where the seams are. Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions. Care about users and feel ownership over outcomes, even for systems you don't own. Have excellent communication and collaboration skills -- you'll be partnering across the entire company. Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between. Strong candidates may also Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems Have experience operating large-scale model serving or training infrastructure (>1000 GPUs). Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium). Understand ML-specific networking optimizations like RDMA and InfiniBand. Have expertise in AI-specific observability tools and frameworks. Have experience with chaos engineering and systematic resilience testing. Have contributed to open-source infrastructure or ML tooling. 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: £325,000 — £390,000 GBP 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. 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: Almaty, Kazakhstan Workplace: fully About Global University Systems (GUS) Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement. About the Role The Business Development Manager for International Student Recruitment will oversee all student recruitment activities, business development activities, account management, and marketing events for B2B channels across the country or region you will manage. You will collaborate with Company Directors to develop B2B channels and implement marketing and sales strategies to promote international student recruitment for GUS. You will be representing one of our universities or colleges located in either Europe, North America, or Asia. Requirements Essential Criteria You will have experience in international student recruitment for higher education in the US. • You have an established and relevant agency network and solid relationships with key stakeholders within these agencies. • A solid understanding of industry trends is essential to inform the group’s strategic planning and forecasting. • You will have developed and trained education agents on how to promote the brand you represent. • You will have experience sourcing agents from fairs, business trips, enquiries, referrals, and general searches in line with business development responsibilities. • You will have experience generating new revenue from existing streams and accounts, as well as identifying new opportunities. • You will have a proven track record of assisting in identifying, supporting, and developing potential business partners and growing existing client relationships. • You will have experience performing client research, including (but not limited to) meeting and engaging with key players in the industry. • You will be a highly motivated individual who strives for success in all areas. • You are confident in delivering workshops and presentations, hosting conferences, and being in front of the camera. Desirable Criteria • Salesforce or database management experience. • We will consider applicants who have represented an institution directly (located anywhere within your region) or who have significant agency experience where they have managed a sub-network of agents. Location The position is home-based with travel. Ideally, you will be located within your country and able to travel with ease, as your main marketing activities will be held in this area (where agents are based). Other Information Global University Systems equal opportunity employer. We provide equal opportunities and are committed to the principle of equality regardless of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, record of offences, marital status, family status or disability. The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies.

Location: Almaty, Kazakhstan Workplace: fully About Global University Systems (GUS) Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement. About the Role The Business Development Manager for International Student Recruitment will oversee all student recruitment activities, business development activities, account management, and marketing events for B2B channels across the country or region you will manage. You will collaborate with Company Directors to develop B2B channels and implement marketing and sales strategies to promote international student recruitment for GUS. You will be representing one of our universities or colleges located in either Europe, North America, or Asia. Requirements Essential Criteria You will have experience in international student recruitment for higher education in the US. • You have an established and relevant agency network and solid relationships with key stakeholders within these agencies. • A solid understanding of industry trends is essential to inform the group’s strategic planning and forecasting. • You will have developed and trained education agents on how to promote the brand you represent. • You will have experience sourcing agents from fairs, business trips, enquiries, referrals, and general searches in line with business development responsibilities. • You will have experience generating new revenue from existing streams and accounts, as well as identifying new opportunities. • You will have a proven track record of assisting in identifying, supporting, and developing potential business partners and growing existing client relationships. • You will have experience performing client research, including (but not limited to) meeting and engaging with key players in the industry. • You will be a highly motivated individual who strives for success in all areas. • You are confident in delivering workshops and presentations, hosting conferences, and being in front of the camera. Desirable Criteria • Salesforce or database management experience. • We will consider applicants who have represented an institution directly (located anywhere within your region) or who have significant agency experience where they have managed a sub-network of agents. Location The position is home-based with travel. Ideally, you will be located within your country and able to travel with ease, as your main marketing activities will be held in this area (where agents are based). Other Information Global University Systems equal opportunity employer. We provide equal opportunities and are committed to the principle of equality regardless of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, record of offences, marital status, family status or disability. The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. Responsibilities Payment System Development: Design, develop, and optimize OKX Pay's payment backend systems; build highly available, high-concurrency, scalable payment infrastructure. Scan-to-Pay Capabilities: Contribute to core QR/scan-to-pay functionality across the critical path — payment code generation, scan recognition, order creation, payment confirmation, state transitions, timeout handling, risk-control validation, and exception compensation. Transaction Processing & Fund Flows: Design and implement secure, stable transaction processing systems covering orders, payments, clearing and settlement, reconciliation, refunds, and callback notifications. Crypto & Stablecoin Payments: Build crypto and stablecoin payment capabilities — on-chain transfers, transaction confirmation, address management, asset crediting, and payment-status synchronization — and integrate them with traditional payment experiences. System Stability & Problem Solving: Safeguard the stability of core payment flows; diagnose and resolve complex production issues including performance bottlenecks, data-consistency problems, fund-security risks, and abnormal transaction scenarios. Technical Optimization & Engineering Quality: Continuously improve system architecture, code quality, monitoring and alerting, exception compensation, and observability to raise the security, reliability, and maintainability of the payment system. Requirements Java Backend Experience: Solid Java development skills, fluent in Spring Boot and mainstream Java backend frameworks, with experience building high-concurrency, high-availability systems. Payments Domain Experience: Hands-on experience with payment systems and their core flows — payment orders, payment state machines, callback notifications, reconciliation, refunds, clearing/settlement, and exception compensation. Scan-to-Pay Experience: Background in scan-to-pay, acquiring, aggregated payments, merchant payments, wallet payments, or similar products, with familiarity across the full business and technical chain. System Design: Strong architecture design ability, capable of designing reliable transaction paths, state-transition mechanisms, and idempotency, retry, and compensation mechanisms. Data Consistency & Fund-Security Awareness: Understanding of the importance of data consistency, transaction handling, idempotency, deduplication, concurrency protection, risk-control validation, and fund security in payment systems. Crypto / Stablecoin Payment Understanding: Familiarity with the fundamentals of crypto and stablecoin payments and on-chain asset movement, including on-chain transfers, transaction confirmation, address systems, Gas, and crediting confirmation. Problem-Solving: Able to independently troubleshoot complex production issues, with strong log analysis, tracing, performance-optimization, and recovery skills. Ownership & Execution: Strong ownership; able to drive problems to resolution and ship projects in a fast-changing environment. Nice-to-Haves Stablecoin Payment Experience: Project experience with USDT, USDC, or other stablecoin payments, collection, settlement, crediting, or on-chain confirmation. Scan-to-Pay / Acquiring Experience: QR payments, merchant acquiring, aggregated payments, payment gateways, cross-border payments, or offline payment scenarios. Account & Ledger Systems: Experience with payment accounts, fund accounts, merchant accounts, ledger systems, clearing/settlement systems, or reconciliation systems. Blockchain Fundamentals: Familiarity with the transaction mechanisms, address models, and asset-transfer flows of EVM, Tron, Solana, or other mainstream chains. Risk & Compliance Awareness: Understanding of payment risk control, anti-fraud, limits, allow/deny lists, KYC/KYT, and AML mechanisms. High-Concurrency Transaction Systems: Experience building high-concurrency order systems, trading systems, payment gateways, acquiring systems, or finance-grade core systems. Who You Are A solid Java backend engineer with deep understanding of payment systems, especially scan-to-pay, acquiring, merchant payments, or wallet payments. You care not only about shipping features but also about fund security, system stability, exception compensation, reconciliation consistency, and the user's payment experience. You don't need to be a senior blockchain expert, but you have a basic grasp of crypto and stablecoin payments and are eager to explore new payment models that combine traditional payment experiences with on-chain assets. Perks & Benefits Competitive total compensation Comprehensive insurance coverage for employees and their dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Commercial Counsel, GTM to join our legal team at the forefront of shaping how cutting-edge AI technology reaches users, researchers, and enterprises worldwide. You'll work alongside experienced colleagues who operate as true strategic partners—moving quickly, thinking creatively, and collaborating to support deals that matter. In this role, you'll focus heavily on supporting our Go-to-Market teams, handling enterprise agreements and customer negotiations while gaining exposure to a range of commercial work including research collaborations, product partnerships, and procurement. You'll also have opportunities to work on AI safety and research agreements, including threat-sharing frameworks with leading security organizations and collaborations that shape and advance responsible AI development standards. This is an excellent opportunity for a motivated attorney to develop deep expertise in commercial transactions while contributing directly to responsible AI development. Key responsibilities Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions including enterprise customer contracts Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements Potentially partner with Policy, Safeguards, and Research teams on novel AI governance initiatives Identify and escalate legal risks appropriately while supporting business momentum Stay current on legal developments affecting AI technologies Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Experience drafting, reviewing, and negotiating commercial agreements Demonstrated ability to provide clear, practical legal guidance to non-lawyers on complex commercial law matter Preferred qualifications Active membership in the California bar At least 5 years of legal experience with exposure to commercial contracts, SaaS agreements, or technology transactions Clear communication skills and comfort translating legal concepts for non-lawyer audiences A collaborative approach to working with colleagues and external partners Genuine curiosity about AI technology and AI policy, and a commitment to responsible AI development Experience navigating multi-stakeholder agreements involving technical and policy considerations Willingness to take initiative and pitch in wherever the team needs support Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco, Seattle or New York offices at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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: $265,000 — $335,000 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. 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: Remote Global (US, EU) Aptos is a people-first blockchain on a mission to help billions of people achieve universal and fair access to decentralized assets in a safe and scalable way. Founded by some of the original creators and maintainers that researched, designed, and built the Diem blockchain to serve this purpose, we have dedicated several years toward this mission. We believe the open-source Diem technology we have developed is an important foundation of a safe and scalable web3 world where everyone has more equitable opportunities to grow and access financial assets with lower fees and fewer intermediaries. Aptos (Ohlone for "The People") encompasses our mission and ethos for why we build. About the Role At Aptos Labs we’re pioneering the future of web3 and need a passionate Product Security Engineer to help secure our core technologies. In this role, you’ll be at the forefront of safeguarding our Aptos core infrastructure and Aptos Labs products. Your proactive approach will help us identify and mitigate emerging threats, ensuring our systems remain resilient and trustworthy. You will work closely with our developers, influence security best practices, and lead initiatives that shape the future of web3 security. Responsibilities Analyze and assess novel and recurring security issues via design reviews, code audits, and penetration tests. Design and build security tools, and develop mitigations, frameworks, and hardening strategies tailored for vulnerability prevention and detection. Review and develop secure operational practices, and provide security guidance for engineers. Respond to and triage reports from bug bounty programs. Minimum Qualifications B.S. or M.S. in Computer Science, a related technical field, or equivalent experience. 3+ years of experience in vulnerability research and exploitation. Experience with native development practices and common vulnerability patterns (e.g., Rust, C, etc.) Experience with automated security analysis tooling and frameworks (fuzzing, static analysis, etc.) Preferred Qualifications Contributions to the security community (public research, blogging, talks in relevant conferences, etc.) Experience with virtual machines or complex runtime environments, such as MoveVM (extra bonus), EVM, WASM, or LLVM-based runtimes, including their security models, sandboxing, and execution isolation. Familiarity with smart contract programming languages (extra bonus for Move), security tools, and frameworks, including formal verification. Our Benefits 100% insurance premium coverage for medical, dental, and vision for you and your dependents (US Employees) Equipment of your choice Flexible vacation time, 11 holidays, and floating company days off Competitive Salary Protocol Token Grants 401k matching (US Employees) Fun and inclusive in-person and digital events Aptos is committed to diversity in the workplace, and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided based on qualifications, merit, and business need. We are committed to providing a safe and secure hiring process for all applicants. Unfortunately, there are individuals who may attempt to impersonate Aptos or our employees for fraudulent purposes. To protect yourself, please be aware of the following: We will never ask you for payment of any kind during the application or onboarding process, including fees for background checks, training, or equipment. We will always communicate with you using our official company email domain. We will never request your personal financial information, such as your social security number or bank account details, during the initial application stages or via email or a video/voice call when onboarding.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for research engineers to build the safety and oversight mechanisms that govern how our models handle biological knowledge. As a bio safety researcher, you will spend your time: designing and running capability evaluations against frontier models, generating and curating training data for our safety classifiers, training and iterating on those classifiers alongside our ML engineers, and measuring how they hold up against adversarial pressure in production traffic. This work sits at the intersection of applied ML and biosecurity. You will help define what responsible AI safety looks like in the biological domain, translating threat models into evals, datasets, and deployed systems. The core technical tension you will own is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and you will be the person measuring it. You do not need to be an ML researcher today. We are looking for strong scientific programmers with real depth in modern biology who want to bring that depth to bear on model evaluation and classifier development. Key responsibilities Design, build, and run capability evaluations to assess what new models can do in the biological domain, and turn results into concrete deployment recommendations Develop training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk Train, tune, and iterate on safety classifiers with ML engineers, optimizing jointly for adversarial robustness and low false-positive rates Build the tooling and pipelines that make evaluation and classifier development fast and repeatable Analyze classifier and eval performance against production traffic, identify gaps, and prioritize improvements Design and run red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve Partner with Research, Product, and Policy teams to embed biological safety throughout the model development lifecycle Contribute to external communications including model cards, blog posts, and policy documents Track developments in biology, ML, and biosecurity for their potential to create new risks or enable new mitigations Minimum qualifications Strong proficiency in Python, and extensive background in scientific programming and data analysis skills Excellent grasp of ML fundamentals and an ability to rapidly adopt ML development practices Excellent knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering Ability to build and maintain your own tooling rather than relying on others to implement your ideas Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results Strong analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines Comfort with ambiguity and with shifting priorities as AI capabilities change Can work independently while maintaining strong collaboration with cross-functional teams Are results-oriented, with a bias towards flexibility and impact Thrive in a fast-paced research environment where you balance rigorous scientific standards with rapid iteration Preferred qualifications Experience working with large language models, including prompting, fine-tuning, or evaluation Experience training or deploying classifiers or other ML systems in production Experience developing ML methods for biological systems or biological data Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems Have at least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology Experience leading complex technical projects across multiple stakeholder groups 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: $300,000 — $405,000 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. 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: London, United Kingdom Workplace: none Role: Student Success Team Manager Reporting to: Director of Student Success Direct reports: Student Success Tutors Location: London College of Contemporary Arts (LCCA) - Tower Hill & Aldgate - Cross Campus Salary: Competitive Role Summary London College of Contemporary Arts (LCCA) delivers industry-focused higher education across creative and professional disciplines, built on a progressive, student-centred learning and teaching methodology. The Student Success Team Manager leads and oversees the Student Success Tutor (SST) team, ensuring consistent, high-quality academic support across campuses throughout the student journey. A core focus of the role is data-driven decision making: interpreting engagement, attendance, assessment, and outcomes data to prioritise intervention, target team resource, and evidence impact on retention and achievement. You will be an experienced, people-focused leader who champions LCCA’s philosophy of experiential teaching, chunked learning, deliberate reflection, and precise feedback — turning insight into action and empowering a diverse team of tutors to help every learner achieve their full potential. Key responsibilities Leadership & Team Management Lead, supervise, and allocate the SST team across campuses, programmes, and levels of study. Set and review team and individual objectives through regular one-to-ones, appraisals, and performance management. Recruit, induct, train, and develop SST staff (including probation), and plan and deliver ongoing CPD. Act as first escalation point for complex academic cases and deputise for the Director of Student Success as required. Academic Support & Delivery Oversight Maintain current knowledge of LCCA courses and oversee 1:1 support, workshops, group sessions, and proactive engagement. Ensure SST guidance aligns with curriculum requirements, assessment frameworks, and learning outcomes. Set service standards for personal academic tutoring, SMART goal setting, and early intervention. Coordinate classroom cover and provide direct academic support where required. Data, Insight & Decision-Making Own the SST team’s use of engagement, attendance, assessment, and progression data to identify at-risk students and prioritise intervention. Translate data into decisions — targeting team resource, shaping workshops, and allocating support where it will have the greatest impact. Build and maintain dashboards and reports that give the team and senior management timely, actionable insight. Analyse outcomes and awarding gaps to drive service improvement and inform SMT decision-making, evaluating whether interventions worked. Collaboration & Signposting Work with academic, wellbeing, and careers teams to support engagement and progression, signposting to specialist teams as needed. Represent the SST team in cross-departmental meetings, committees, and working groups. Quality, Compliance & Improvement Lead continuous improvement of the SST model in line with institutional priorities and sector best practice. Ensure compliance with academic regulations, safeguarding, equality, and data protection, and completion of mandatory training. Support LCCA’s regulatory commitments: OfS Conditions B1–B3 and E2, and the QAA Quality Code (Student Engagement, Learning and Teaching, Assessment, Enabling Student Achievement). Qualifications & Experience Person Specification Essential : Bachelor’s degree in a relevant discipline. PGCE, QTS, or a recognised teaching / coaching / mentoring qualification (held or working towards). Leading, supervising, or managing staff in an academic or educational support setting. Delivering academic support and developing student success / retention initiatives. Using data and dashboards to monitor performance, target intervention, and produce insight-led reports. Teaching or supporting learners in FE / HE, and delivering staff CPD. Strong understanding of curriculum, levels of study, and assessment in HE. Strong leadership, people-management, and communication skills. Confident analysing data and translating insight into decisions and action. Proficiency with LMS, dashboards, and student data / support systems; commitment to inclusive education and widening participation. Student-centred ‘can-do’ approach; calm and credible under pressure. Evidence-led and analytical, with a commitment to continuous improvement and the values of the Group. Collaborative, inclusive, and proactive. Desirable : Master’s degree in a relevant discipline. Evidence of ongoing CPD (e.g., Advance HE Fellowship). Previous experience within a UK FE / HE institution. Personal academic tutoring and managing complex student cases. Contributing to quality assurance or regulatory compliance (OfS, QAA). Knowledge of the OfS regulatory framework and QAA Quality Code. Understanding of safeguarding and data protection in education. About you Empathetic, student-centred approach with strong commitment to equality, diversity and inclusion. Proactive problem-solver with attention to detail and sound professional judgement. Collaborative team player who can build positive relationships across academic and professional services. Adaptable and resilient with the ability to work effectively in a fast-paced environment. What we offer Competitive salary and pension scheme. Generous annual leave entitlement and access to flexible working arrangements. Professional development opportunities, including training and career progression pathways. Employee wellbeing programmes and access to counselling services. How to apply - application process Please submit a CV and a supporting statement outlining how you meet the essential criteria and your approach to student success. Applications should be made via our online careers portal by the closing date. We are committed to recruiting a diverse workforce and welcome applications from all sections of the community. We are committed to ensuring our workforce is reflective of our diverse student population, striving to increase the representation of age, disability, gender identity and expression, religion, race, sex, sexual orientation, and socio-economic background of our employees. We’re also committed to providing adjustments to those who may require support with the recruitment process - please contact the LCCA Talent Acquisition Team collegedivisionrecruitment@gus.global Please note: For this opportunity, you must be able to prove you have the right to work in the UK - if in doubt please visit the following link Employers' right to work checklist - GOV.UK ( www.gov.uk ). Please note we are not a licenced sponsor.

Location: Jeddah, Saudi Arabia; Tabuk, Saudi Arabia; Riyadh, Saudi Arabia; Yanbu, Saudi Arabia; Madinah, Saudi Arabia Eram Talent is seeking a skilled Network Engineer to join our growing team in Saudi Arabia. In this role, you will be responsible for designing, implementing, and managing network solutions that support various business operations and optimize performance. Your expertise will help ensure effective network connectivity, security, and reliability across the organization's infrastructure. You will work closely with IT teams to understand their networking needs and work to deliver effective solutions that enhance organizational performance and support strategic objectives. Responsibilities Design and implement network systems, including LAN, WAN, and wireless networks. Configure and manage networking devices like routers, switches, and firewalls. Monitor network performance and stability, identifying areas for improvement and troubleshooting issues. Develop and implement network security protocols to safeguard data and technology infrastructure. Collaborate with IT teams to assess network needs and install necessary upgrades. Prepare and maintain documentation of network configurations, standards, and procedures. Stay updated on emerging networking technologies and trends that can improve operations. Requirements Bachelor's degree in Computer Science, Network Engineering, or a related field. Minimum of 3 years' experience in network engineering or related roles. Relevant certifications such as CCNA, CCNP, or equivalent are highly desirable. At least 2 year of IT professional experience, with experience in networking. Experience working with BGP, EIGRP, and ISIS (mandatory). Experience with network-related equipment, including the use of sniffers, network monitoring tools, etc. Operating and troubleshooting experience with the following Cisco products: Switches: 6500, 4500, 3750, 3560, 2960 Technical knowledge of the following technologies and protocols: VLAN VTP Trunk (802.1q) Spanning Tree

Location: Shanghai Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. ABOUT YOU We are looking for a Backend Tech Lead who is passionate about challenges, technically excellent, and eager to create greater impact by leading and empowering a team to join our Xsolla China technology team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to lead a team focused on delivering customized integration solutions and technical support for the Chinese market, while participating deeply in product architecture discussions and decisions. Strong programming skills and solid computer science fundamentals are essential, along with experience in designing and developing highly available, scalable, large-scale distributed systems, with deep expertise in middleware such as message queues, Elasticsearch, Redis, and MySQL. The ability to lead and mentor team members, foster their professional growth, and ensure the team delivers high-quality code efficiently will be key to your success in this role. If you’re passionate about driving innovation and delivering tailored solutions for the gaming industry in China and love combining profound technical expertise with team management and product thinking to create meaningful impact, we would love to hear from you! RESPONSIBILITIES Technical Leadership & Architecture Lead the design, implementation, and optimization of backend technical solutions for China-specific customized projects, continuously improving service performance and stability. Define future technology stacks and development architecture for the team, and participate in architectural solution discussions at the department level. Possess deep understanding and practical experience in designing and developing highly available, scalable, large-scale distributed systems. Expertise in the principles and optimization of middleware such as message queues, Elasticsearch, Redis, and MySQL. Development Process & Project Management Set team goals, plan development processes, and provide accurate estimations for task implementation. Organize and facilitate daily team rituals (stand-ups, reviews, retrospectives). Establish and improve product quality assurance (QA) processes, and participate in testing and delivery phases. Team Building & Talent Development Be responsible for building the technical team (including recruitment, onboarding, and retention). Identify team members' strengths and weaknesses, and support their professional growth through coaching, knowledge sharing, and fostering a mentorship culture. Create and update team competency maps, and plan individual development tracks for members. Build a culture of collective responsibility for commitments, as well as trust, innovation, and mutual support within the team. Business & Collaboration Participate in research and discussions on products in domains like gaming payments, driving their localization and promotion in the Chinese market. Possess excellent teamwork and communication skills, enabling effective collaboration with technical, product, and business partners. 5.Other Need Game industry experience required On-site position only (remote work not available) Qualifications and Skills Must-have: Bachelor's degree or higher in Computer Science or a related field. 5+ years of backend development experience, with at least 1 year in a tech lead, team lead, or core architect role. Strong programming skills and solid computer science fundamentals, with proficiency in data structures and design patterns. Must be skilled in Golang or PHP and their mainstream frameworks. Hands-on experience in designing and developing large-scale distributed systems, with deep insight into system performance bottlenecks and optimization. Excellent communication skills, a strong sense of responsibility, and clear logical thinking for complex problem-solving. Fluent English (B2+ level), capable of seamless communication in an international team environment. Ability to thrive in a fast-paced environment, with strong self-motivation and resilience. Nice to Have Experience working in Agile/Kanban environments. Familiarity with large-scale agile frameworks like SAFe is a plus. Understanding of frontend technology stacks (e.g., React ecosystem) or full-stack development experience. Experience building and optimizing CI/CD pipelines and automated testing (e.g., Playwright, Cypress). Solid understanding of caching, networking, load balancers, and CDNs. Familiarity with key-value or document databases (e.g., Redis, MongoDB). Note: Candidates without management experience could also be considered. Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Shanghai Workplace: onsite RESPONSIBILITIES Development Management:Setting goals and planning the development process for the team Estimating the time of the implementation of individual tasks Organizing and facilitating team rituals Creating product QA process Participating in testing and delivery processes Team Management:Creating a support team from a scratch (onboarding, retaining, etc.) Supporting the professional growth of employees through the accumulation of knowledge and experience Working with the strengths and weaknesses of team members Building a culture of collective responsibility for commitments Creating a culture of trust, creativity and mentorship in the team Creating and updating a competency map as well as working with personal development tracks for each employee Defining future technologies and development architecture with the team Participating in the discussion of architectural solutions in the department REQUIREMENTS 5+ years of frontend development experience Experience working in an Agile/Kanban environment Strong working knowledge of React and its ecosystem (state management, hooks, etc.) Solid understanding of backend components such as caches, networks, load balancers, and CDNs Ability to develop reliable, scalable, and maintainable frontend applications Fluent English (B2+ level) with strong communication skills Flexibility to thrive in a fast-paced environment Preferred Qualifications Hands-on experience with modern frontend frameworks such as React, Angular, or Vue Experience building and optimizing CI/CD pipelines Familiarity with SAFe (Scaled Agile Framework) or other large-scale agile frameworks Automation testing experience using Playwright or Cypress Exposure to key-value and document databases (e.g., Redis, MongoDB) Team leadership or management experience is a plus, could accept candidates without management experience Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Shanghai Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. ABOUT YOU We are looking for a Senior Full-Stack Engineer who is reliable, detail-oriented, and passionate about building robust communication systems to join our Communications Platform team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to develop new projects, modules, and components that power seamless communication between businesses, gamers, and partners across multiple channels. Strong skills in frontend development using React.js and server-side development using Node.js with the Nest.js framework are essential, along with experience in building interactive user interfaces, working with databases (MongoDB, IndexedDB), and understanding of REST, Sockets, and HTTPS protocols. The ability to engage in integration with various Xsolla products, participate in design improvements, and ensure smooth product operation with enhanced stability will be key to your success in this role. If you’re passionate about building reliable, real-time communication solutions that connect gamers and partners across the globe and love creating high-quality, performant full-stack applications that make a real impact, we would love to hear from you! RESPONSIBILITIES Engage in integration with various Xsolla products Develop new projects, modules and components Participate in design and improvement of designs Ensure the product runs smoothly and work to improve stability Game industry experience required On-site position only (remote work not available) Qualifications and Skills 3 years+ working experience Strong skills in frontend development using React.js and creating interactive user interfaces Understanding of how state managers work (we use MobX) Knowledge of server-side development using Node.js and the Nest.js framework Experience working with databases (MongoDB, IndexedDB) Understanding of REST, Sockets, HTTPS Nice to Have Experience with real-time applications Experience with Meteor.js Some knowledge of CI/CD, linters, performance analysis Experience with Docker / k8s Familiarity with webpack module federation Experience in monitoring client applications Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Shanghai Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. ABOUT YOU We are looking for a Senior Backend Engineer who is ambitious, undaunted by challenging tasks, and eager to grow to join our China Regional Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to drive tailored solutions for our major partners in China through customized integration projects, localized product enhancements, and dedicated technical support to meet the unique needs of the local market. Strong programming skills and a solid foundation in computer science are essential, along with experience in designing and developing large-scale distributed systems, with deep expertise in middleware such as message queues, Elasticsearch, Redis, and MySQL. The ability to think critically, solve complex problems, and collaborate effectively with cross-functional teams will be key to your success in this role. If you’re passionate about working in the video game industry and delivering innovative payment solutions for the China market and love building scalable, high-performance backend systems that power game commerce at scale, we would love to hear from you! RESPONSIBILITIES Design, implement, and optimize technical solutions based on the needs of users in the China region, continuously improving service performance and stability. Participate in research and discussions related to products in the gaming payment domain, and drive their implementation and promotion. Game industry experience required On-site position only (remote work not available) Qualifications and Skills Bachelor's degree or higher in Computer Science or a related field, with at least 3 years of backend development experience. Strong programming skills and a solid foundation in computer science, with familiarity in data structures and design patterns. Proficiency in at least one programming language (Go or PHP) and familiarity with relevant mainstream development frameworks. Experience in designing and developing large-scale distributed systems, with a deep understanding of middleware technologies such as message queues, Elasticsearch (ES), Redis, and MySQL, including their principles and optimizations. Excellent teamwork, communication skills, and a strong sense of responsibility. Strong problem-solving skills, clear logical thinking, and an ability to think critically, summarize, and synthesize information. Nice to Have Experience working on cross-border or cross-cultural projects, particularly with Chinese partners or in the China market. Familiarity with the Chinese gaming industry ecosystem, including local payment channels, regulatory requirements, and player behavior. Experience with cloud platforms (AWS, GCP, Alibaba Cloud) and containerization technologies (Docker, Kubernetes). Knowledge of gaming payment systems, virtual currency, and in-app purchase (IAP) workflows. Bilingual proficiency in English and Chinese to facilitate communication with regional partners. Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Riyadh, Saudi Arabia Müller's Solutions is looking for a skilled SAP Basis Consultant to join our team. This role will involve the administration, maintenance, and support of our clients' SAP systems, ensuring optimum performance and reliability of the SAP landscape. You will be part of a talented team dedicated to providing high-quality SAP services to our clients. Key Responsibilities: Install, configure, and maintain SAP environments, including development, test, and production systems. Monitor system performance and troubleshoot issues to ensure high availability and reliability of SAP systems. Perform system upgrades, patches, and enhancements as necessary. Utilize SAP tools for transport management and client administration. Implement and manage system backups and recovery plans to safeguard client data. Collaborate with functional teams to support new system implementations and migrations. Maintain comprehensive documentation of system configurations, procedures, and changes. Participate in on-call support rotations to address urgent system issues as they arise. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. At least 3-5 years of experience in SAP Basis administration. Strong understanding of SAP installations, configurations, and system monitoring. Familiarity with database management systems such as Oracle, SQL Server, or SAP HANA. Experience with operating systems like Linux and Windows as they relate to SAP environments. Good problem-solving skills and attention to detail to troubleshoot complex issues. Ability to work collaboratively in a team environment, as well as independently when needed. Excellent communication skills to effectively interact with clients and team members. SAP certifications (e.g., SAP Certified Technology Associate) are preferred but not mandatory. Willingness to learn and adapt to new SAP technologies and best practices. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. Responsibilities: Build security for large-scale AI clusters across multiple clouds and bare-metal data centers, including IAM, network segmentation and encryption controls Design and implement network security controls: default-deny ingress and egress, segmentation between research, training and production environments, private connectivity across clouds and data centers, cloud firewall policy and mTLS with service identity Ship these controls as secure defaults using infrastructure as code and GitOps workflows, so new clusters, VPCs and data center links inherit the right boundaries Build visibility into network traffic and boundary drift, with detection for exfiltration paths and automated remediation where it is safe to do so Design secure-by-design development workflows and CI/CD pipelines across our services, with expertise in Kubernetes security, container orchestration and identity management Threat model and assess risk for complex multi cloud and networked environments, and join infrastructure networking, cluster and data center teams at design time so topology, routing and firewall decisions carry our security requirements from day one Mentor engineers and contribute to hiring and growth of the Security team You may be a good fit if you: Have 8-15+ years of software engineering experience implementing and maintaining critical systems at scale Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++) Experience implementing and operating critical systems at scale using DevOps and cloud automation practices such as infrastructure as code Hands-on network security engineering in cloud or on-prem environments, for example VPC design, cloud firewall policy, egress control, private service connectivity or network segmentation Working knowledge of Kubernetes security and networking, including network policy, service identity and container hardening Experience with threat modeling and risk assessment for networked and multi cloud systems Track record of driving engineering excellence through high standards, constructive code reviews and mentorship Clear communicator who can translate technical concepts across organizational levels and bring clarity and ownership to ambiguous technical problems Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams Experience supporting fast-paced startup engineering teams Strong candidates may also have experience with: Secured Kubernetes networking at scale (CNI, network policy, service mesh or mTLS rollouts) or worked in high-assurance environments where controls had to be evidenced, not just deployed Worked on interconnects and private connectivity between cloud providers and physical data centers, including management-plane and out-of-band network security Built network traffic visibility or exfiltration detection systems Exposure to large-scale distributed training and what it demands of a network Led cross-functional security initiatives and navigated complex organizational dynamics Managing infrastructure through automated configuration and policy enforcement Hardening containerized applications and enforcing security policies 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: £255,000 — £325,000 GBP 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. 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: Al Jubail, Saudi Arabia; Dammam, Saudi Arabia; Al Khobar, Saudi Arabia Eram Talent is on the lookout for a skilled Welding Inspector, specifically with Aramco approval, to join our esteemed team in the Oil & Energy sector. As a prominent Talent Acquisition Consultancy, we excel at connecting highly qualified professionals with impactful projects. This role is essential for ensuring the quality, safety, and compliance of mechanical and piping systems in alignment with Aramco standards. As a Welding Inspector, your expertise will ensure that all mechanical and piping installations are up to the requisite standards, thus safeguarding both operational integrity and environmental compliance. You will collaborate closely with project teams to drive the highest standards of quality and safety in our projects. Responsibilities Conduct thorough inspections of mechanical and piping systems in accordance with Aramco standards and specifications. Evaluate the quality of materials and workmanship during the installation and assembly of piping systems. Prepare detailed inspection reports, documenting findings, non-conformances, and recommendations for corrective actions. Collaborate with project management and engineering teams to ensure compliance with project specifications. Perform inspections at various stages of the construction process to ensure all work meets safety and quality standards. Provide technical guidance and support to construction teams to rectify any identified issues. Participate in quality meetings and discussions with stakeholders to communicate inspection findings and address concerns. Requirements Bachelor’s degree in Mechanical Engineering or a related field. Minimum of 8 years of experience in mechanical and piping inspection, preferably in the Oil & Gas industry. Must be Aramco-approved as a Mechanical and Piping Inspector. Strong knowledge and understanding of piping codes, standards, and specifications, including ASME, API, and others related to Aramco projects. Experience with Non-Destructive Testing (NDT) methods and the ability to interpret inspection results accurately. Excellent analytical skills with a meticulous eye for detail. Strong communication skills for effective collaboration with cross-functional teams. Ability to manage multiple tasks while adhering to strict deadlines. Proficient in using inspection tools and software for documentation and reporting.