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Location: Montreal Workplace: remote ABOUT YOU   We are looking for a Senior Software Engineer (React Native) who is architecturally strong, quality-driven, and highly collaborative to join our Mobile Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to lead mobile architecture decisions, build scalable cross-platform applications, and drive shared code strategies across web and mobile ecosystems.   Strong expertise in React Native and JavaScript/TypeScript, along with deep knowledge of mobile architecture patterns and state management, is essential, along with experience in building and delivering commercial mobile applications from concept to launch. The ability to design scalable architectures, implement robust testing strategies (including E2E), optimize performance, and mentor other developers while collaborating across cross-functional teams will be key to your success in this role.   If you're passionate about building high-quality mobile experiences that scale and love creating seamless app ecosystems that power gaming, virtual currency, and digital commerce experiences, we would love to hear from you!   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. Responsibilities: Develop and maintain mobile applications using React Native for iOS and Android platforms Implement best practices for mobile development, including code review, testing strategies, and CI/CD processes Build scalable and maintainable features within the existing application architecture Collaborate with product and design teams to implement technical solutions that meet business goals Integrate mini-apps and virtual currency systems with the Xsolla App ecosystem Work with cross-functional teams, including developers, QA engineers, and project managers Participate in technical discussions to align development work with business objectives Communicate effectively across distributed teams Deliver high-quality features on time throughout the development lifecycle Architecture & Design Design and implement scalable application architecture for React Native mobile apps with a focus on maintainability, performance, and developer experience Lead architectural decisions around shared code strategies between React web and React Native mobile platforms Establish and enforce coding standards, design patterns, and best practices across the mobile development team Create technical specifications and architecture documentation for complex features and systems Monorepo Management Build and maintain a robust monorepo infrastructure using tools like Nx, Turborepo, or similar Configure and optimize build pipelines, dependency management, and workspace configurations Implement efficient caching strategies and incremental builds to optimize CI/CD performance Manage versioning, publishing, and dependency relationships between packages Component Ecosystem & Code Sharing Design and develop a comprehensive shared component library that works seamlessly across React and React Native Create platform-agnostic business logic, utilities, and services that can be consumed by both web and mobile Implement adaptive components with platform-specific implementations where necessary while maintaining a unified API Establish patterns for sharing type definitions, hooks, contexts, and state management across platforms Build tooling and documentation to enable other developers to easily leverage shared code Development & Delivery Build high-quality, production-ready mobile applications using React Native for iOS and Android Implement pixel-perfect, responsive UIs that align with design specifications Optimize app performance, bundle size, and startup time Integrate native modules when React Native APIs are insufficient End-to-End Testing & Quality Assurance Design and implement comprehensive E2E testing strategies for React Native applications using tools like Detox, Maestro, or Appium Create reliable, maintainable test suites that run consistently across iOS and Android platforms Establish testing patterns and utilities that can be shared across multiple apps in the monorepo Configure E2E tests to run in CI/CD pipelines with proper device/simulator management Build test infrastructure for critical user flows, edge cases, and platform-specific behaviors Implement visual regression testing and snapshot testing where appropriate Define testing standards and best practices for the team, including when to use unit, integration, and E2E tests Collaboration & Mentorship Collaborate with web developers to identify opportunities for code sharing and architectural alignment Mentor junior and mid-level developers on React Native best practices and monorepo patterns Conduct thorough code reviews with focus on architecture, patterns, and maintainability Work closely with product, design, and backend teams to deliver cohesive user experiences Qualifications & Skills: 5+ years of experience in mobile application development with a strong focus on React Native Proven track record of delivering commercial mobile applications from concept to launch Proficiency in React Native and JavaScript/TypeScript, with knowledge of native modules (Swift/Kotlin) as a plus Strong understanding of mobile architecture patterns and state management Experience with third-party integrations and APIs Strong problem-solving abilities and a results-driven approach Effective communication skills, both written and verbal Familiarity with gaming ecosystems and virtual currency platforms is a plus Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Senior Software Engineer(React Native), we will conduct a background check that may include the following. Criminal history check. Employment verification. Education verification.   Relevance to job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/ managing budgets /accessing funds

Location: Montreal Workplace: remote ABOUT YOU   We are looking for a Senior Backend Engineer who is detail-oriented, proactive, and highly collaborative to join our Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design and build scalable backend systems, drive architectural improvements, and deliver resilient, high-performance services in production environments. Strong technical expertise in Go, distributed systems, and microservices architecture is essential, along with experience in building and operating cloud-native applications in containerized environments using Docker and Kubernetes. The ability to troubleshoot complex production issues, optimize system performance, and manage event-driven architectures using Kafka or similar streaming platforms will be key to your success in this role. If you're passionate about building reliable, scalable systems that power high-impact products and love creating seamless infrastructure that enables innovative payment, gaming, or commerce experiences, we would love to hear from you!   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. Responsibilities Design, build, and maintain backend services that power core products and platforms. Develop event-driven systems using Go and Kafka. Build scalable microservices in containerized environments using Docker and Kubernetes. Drive architecture decisions that improve performance, resiliency, and maintainability. Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions. Own your code in production, monitor, debug, and continuously improve service performance and reliability. Write automated tests and follow CI/CD best practices to ensure high-quality deployments. Participate in code reviews, technical discussions, and knowledge sharing across teams. Participate in on-call rotation to support production systems and respond to incidents. Qualifications & Skills 5+ years of backend development experience in Go or a similar language. Strong understanding of microservices architecture, distributed systems, and event-based communication. Familiarity with cloud infrastructure and container orchestration (e.g., Kubernetes, Docker). Solid understanding of observability, monitoring, and performance optimization. Ability to troubleshoot production issues, analyze system behavior, and drive resolution. Nice to Have Background in gaming, payments, or commerce systems. Experience in adtech or offer monetization platforms. Hands-on experience with Kafka or equivalent streaming platforms. Experience with Redis or other in-memory data stores. Experience with cloud platforms (e.g., AWS, GCP, or Azure). Familiarity with ClickHouse, Postgres, or other analytical/OLAP/OLTP databases. Prior experience working on internal platforms or developer-facing tools. Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Senior Backend Engineer, we will conduct a background check that may include the following. Criminal history check. Employment verification. Education verification.   Relevance to job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/ managing budgets /accessing funds

Location: Zürich, CH About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends. Responsibilities: Implement and optimize post-training techniques at scale on frontier models Conduct research to develop and optimize post-training recipes that directly improve production model quality Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation Develop tools to measure and improve model performance across various dimensions Collaborate with research teams to translate emerging techniques into production-ready implementations Debug complex issues in training pipelines and model behavior Help establish best practices for reliable, reproducible model post-training You may be a good fit if you: Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities Adapt quickly to changing priorities Maintain clarity when debugging complex, time-sensitive issues Have strong software engineering skills with experience building complex ML systems Are comfortable working with large-scale distributed systems and high-performance computing Have experience with training, fine-tuning, or evaluating large language models Can balance research exploration with engineering rigor and operational reliability Are adept at analyzing and debugging model training processes Enjoy collaborating across research and engineering disciplines Can navigate ambiguity and make progress in fast-moving research environments Strong candidates may also: Have experience with LLMs Have a keen interest in AI safety and responsible deployment We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role. 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 teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. Representative projects: Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows. Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models. Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows. Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research. You may be a good fit if you: Are proficient in Python and async/concurrent programming with frameworks like Trio Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering implementation Enjoy pair programming (we love to pair!) Care about code quality, testing, and performance Have strong systems design and communication skills Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may have: Familiarity with LLM architectures and training methodologies Experience with reinforcement learning techniques and environments Experience with virtualization and sandboxed code execution environments Experience with Kubernetes Experience with distributed systems or high-performance computing Experience with Rust and/or C++ Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: £260,000 — £630,000 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: Budapest WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 7 years of writing production-quality code in Python on Linux platform Candidate must be willing to learn C++. Experience in C++ is a strong plus Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus. Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. What We Offer: Competitive compensation package Core benefits include: premium private health insurance and life insurance with savings plan Support for every aspect of life through Employee Assistance Program and fully covered sick leave Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams #LI-DN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: Full Time The Role As Director / Senior Director of Hardware Product Engineering, you will shape the hardware that puts a new category of active play into living rooms worldwide. You will own the end‑to‑end success of Nex Playground and its next generation — from early concept with Product Design through global‑scale manufacturing across a diversified supply chain. You will build and lead a hardware product engineering organization, guide the product's technical evolution, and drive the quality and innovation that families trust every day — at a company that's scaling very fast. The Mindset First‑principles, customer‑obsessed, decisive. Perseveres to the highest standards and challenges assumptions. Resilient through setbacks, coachable at every level. Grows engineers into owners and leaders. Empathetic, leads with trust, gives tough feedback, builds a culture of accountability. Executes with discipline, using data and experimentation to deliver uncompromising, high‑quality consumer products at scale. Success Looks Like Next‑gen hardware launched and ramping to millions of units across a diversified global supply chain — from US living rooms to EU and beyond. A team full of strong leaders who execute without heroics. ODM/JDM partnerships that deliver reliably while in‑house capability grows. The hardware families reach for every day — reliable, safe, and constantly evolving. Key Responsibilities Organization & Leadership Build a high‑performing Hardware Product Engineering organization — grow engineers into owners and develop strong leaders Partner across Software, Manufacturing, Sourcing, and Commercial to enable high‑volume production and global market access Deliver results through ODM/JDM models while building strategic in‑house capabilities Product & Technology Single accountable owner of the core living‑room hardware product Partner with Product Design from early concept to translate customer needs into feasible, scalable hardware Drive hardware innovation, R&D, architecture, and key technology decisions Delivery, Quality & Compliance Own the product across its full lifecycle — deliver on scope, timing, performance, reliability, and manufacturability Drive regulatory compliance, localization, and support supply chain diversification to fast-track international expansion Lead field issue investigation, root‑cause analysis, and corrective actions to continuously improve quality and safety Must Have Significant experience delivering smart consumer electronics at scale Strong background in embedded systems and hardware‑software integration Experience leading engineering teams in high‑growth environments with product design, manufacturing, and sourcing partners Proven experience with ODM/JDM partnerships Strong working proficiency in spoken English and Mandarin (fluency strongly preferred) Nice to Have Experience with TV‑connected, gaming, or home entertainment hardware platforms Experience with Android‑based consumer devices Experience with camera systems Experience building products for kids or families We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Lugano Workplace: OnSite Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. We have become a market leader in Bitcoin security and Layer-2 technologies. Our products are designed to make financial systems more efficient, secure, and robust. We are seeking Software Engineers, an entry-level to more senior technical role focused on learning and contributing to the development of blockchain and digital asset solutions for enterprise and institutional clients. This role provides hands-on experience with distributed systems, cryptography, and financial technology while working alongside experienced developers and architects. Within the Service & Enterprise Solutions organization, the Software Engineers contribute to building secure, scalable platforms for banking clients. This role offers the opportunity to work with cutting-edge blockchain technologies, learn industry best practices, and grow technical skills in a fast-paced fintech environment. What You'll Be Doing (Responsibilities): - Write clean, maintainable code following team coding standards and best practices - Implement features and functionality based on technical specifications - Debug and resolve software defects with guidance from senior team members - Develop and execute unit tests to ensure code quality - Participate in code reviews to learn from experienced developers - Support integration activities with APIs, databases, and external systems - Document code and technical processes clearly - Collaborate with architects, DevOps engineers, and QA teams - Learn and apply software development principles, design patterns, and fintech domain knowledge What We Look for In You (Required Qualifications): - Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience) - 0-5 years of professional software development experience (internships and academic projects count) - Proficiency in at least one programming language (Python, JavaScript/TypeScript, Go, Java, or Rust) - Understanding of fundamental programming concepts: data structures, algorithms, object-oriented programming - Familiarity with version control systems (Git) and collaborative development workflows - Self-starter with proven ability to work collaboratively across multiple teams and geographies, demonstrating high-quality and high-touch customer engagement throughout all phases of delivery - Strong problem-solving abilities and attention to detail - Eagerness to learn new technologies and adapt quickly - Languages: English required; Swiss German/German, French and/or Italian a plus - Location: Switzerland, with focus on Lugano Nice To Haves (Preferred Qualifications): - Basic understanding of blockchain, distributed systems, or cryptography concepts - Exposure to API design and RESTful services - Interest in cryptocurrency, digital assets, or decentralized technologies - Experience with databases (SQL/NoSQL) - Familiarity with cloud platforms (AWS, Azure, GCP) or containerization (Docker) - Understanding of agile development methodologies - Contributions to open-source projects or personal coding portfolio - Interest in progressing into senior development or architecture roles 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com http://blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: Zurich Workplace: OnSite Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure. We are seeking a DevOps Engineer, responsible for building, automating, and operating secure blockchain and digital asset infrastructure for enterprise and institutional clients. This role focuses on deploying and operating production-grade platforms using infrastructure-as-code, automation, and security-first practices tailored for regulated financial services environments. Within the Service & Enterprise Solutions organization, the DevOps Engineer works closely with Solution Architects, Delivery, Product, and Engineering teams to build and operate resilient infrastructure. This role ensures blockchain solutions are secure, scalable, observable, and operationally sound for banking and institutional environments. What You’ll Be Doing (Responsibilities): - Build and operate cloud infrastructure for blockchain platforms in banking, custody, payments, and digital asset environments - Design, implement, and maintain CI/CD pipelines for automated deployment, testing, and release management - Deploy and manage infrastructure using infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation - Operate containerized applications using Docker and Kubernetes - Configure and manage environments across AWS, Azure, hybrid, and on-premise deployments - Implement security hardening, secrets management, encryption, and access controls - Build and maintain monitoring, logging, and alerting systems using tools such as Prometheus, Grafana, ELK, or CloudWatch - Support production deployments, go-live activities, and incident response - Collaborate with Solution Architects to ensure infrastructure meets security, compliance, and architectural requirements - Contribute to reusable infrastructure patterns, automation frameworks, and operational documentation WHAT WE LOOK FOR IN YOU (REQUIRED QUALIFICATIONS): - 3–6 years of experience in DevOps, platform engineering, SRE, or infrastructure operations roles - Hands-on experience building and operating infrastructure in fintech, financial services, or other regulated environments - Strong experience with cloud platforms (AWS preferred; Azure and/or GCP a plus) - Experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or ArgoCD - Strong experience with infrastructure-as-code tools including Terraform, Ansible, or Pulumi - Solid scripting skills in Python, Bash, Go, or similar languages - Experience operating Docker, Kubernetes, and container orchestration platforms - Strong understanding of security, networking, and compliance requirements in regulated environments - Self-starter with proven ability to work collaboratively across multiple teams and geographies, demonstrating high-quality and high-touch customer engagement throughout all phases of delivery - Ability to collaborate effectively with architects, engineers, delivery teams, and client technical stakeholders - Languages: English required; Swiss German, German, French or Italian a plus - Location: Switzerland, with focus on Zurich and Lugano NICE TO HAVES (PREFERRED QUALIFICATIONS): - Experience operating blockchain infrastructure (Bitcoin nodes, Lightning Network, or similar) - Familiarity with distributed systems and blockchain-specific operational requirements - Experience with monitoring and observability platforms such as Prometheus, Grafana, Datadog, or ELK - Knowledge of service mesh, API gateways, or load-balancing technologies - Relevant certifications such as AWS Certified DevOps Engineer or CKA (Certified Kubernetes Administrator) - Interest in progressing into Senior DevOps Engineer or SRE leadership roles - Genuine interest in Bitcoin, digital assets, and blockchain-based financial infrastructure 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com http://blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The VPC (Virtual Private Cloud) team builds and operates the core networking layer of our cloud platform. We enable virtual machines to communicate reliably by abstracting them from the underlying physical network, providing seamless IP-based connectivity even as workloads move across the datacenter. Our team designs secure, isolated private networks for customers, connects them to the public internet, and delivers essential networking services such as load balancers, firewalls, and security groups. Because nearly every cloud application depends on networking, VPC is a foundational service for the entire platform. Stability and resilience are our top priorities—we engineer systems to remain reliable and operational even when parts of the cloud experience failures. Our team both develops the control-plane, written in Golang, and supports open-source based dataplane, written mostly in C. This makes us quite unique in that we both have high-level control plane tasks and low-level system research tasks, with different team members focusing more on one part or the other. What we do: Increase service scalability and reliability Develop the control & data plane for Nebius Cloud network services Develop service functionality (e.g. IPv6 support, service endpoints, VPC peering, L7 load balancers and other networking services) Improve the internal architecture, optimizing interaction with related services Debug datapath and kernel issues, including performance related issues Perform load testing for services We expect you to have : Capable of writing reliable, high-performance concurrent code Proficient in Go and able to read C/C++,  or be ready to learn both Familiar with routing network traffic It would be an added bonus if you : Worked with OVS, VPP, DPDK, Linux kernel network subsystem or other network dataplanes Well-versed in virtual networks and overlays, SDN, NFV, DPI, network protocols, routing and tunneling, BGP, and MPL We conduct coding interviews as part of the process. #LI-JS1 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Kyiv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Ми шукаємо нового гравця до System підрозділу на позицію Senior Front End Engineer (React) .   System підрозділ розвиває програмну екосистему Ajax — OS Malevich, Video Management System, cloud і клієнтські застосунки. Команда забезпечує стабільну роботу всіх компонентів системи як єдиної цифрової платформи. Основні hard skills: Expert TypeScript: Глибоке розуміння типів, generic-інтерфейсів та досвід роботи з монорепозиторіями; React & Next.js : Глибокі знання React (hooks, context, performance optimization); Data streaming: Знання та розуміння принципів роботи стрімових протоколів для передачі данних та сфер їх застосування; Unit, integration, e2e testing: Знання та розуміння піраміди тестування та відповідних інструментів. Hard plus: Mobile (React Native & Expo): Досвід розробки мобільних додатків, розуміння життєвого циклу компонентів та нативної взаємодії; WebRTC & Video Streaming: Досвід роботи з протоколами реального часу, обробка потокового відео, комунікація з сервером через дата канали; Protobuf / Bufbuild: Розумінню контрактної розробки та роботи з бінарними даними через Protobuf. Основні soft skills: Здатність генерувати продумані архітектурні та технічні рішення котрі будуть застосовуватися в продуктах та вміння презентації їх; Вміння бачити "велику картину" і проектувати компоненти так, щоб вони були перевикористовуваними в різних середовищах; Аналітичний підхід до вирішення складних багів, пов’язаних з мережевими протоколами та візуальним відображенням великих масивів данних; Бажання ділитися досвідом з колегами, навчатись новому та не боятись ставити питання для досягнення результату. Буде плюсом: Досвід з інструментами збірки (Rollup, Webpack, Vite) та налаштуванням CI/CD; Знання особливостей ОС Tizen (Web API, Remote Control navigation); Досвід роботи з MediaSource та розуміння особливостей його використання; Вміння працювати різними кодеками для передачі аудіо/відео данних та використання їх в стрімах. Чим будете займатись: Підтримка та масштабування: Розвиток існуючої операторської сторінки для перегляду відео в вебі ( Next.js ) та Video SDK (React Native); Уніфікація коду: Винесення спільної логіки у окрему бібліотеку для синхронізації роботи всіх платформ; Розвиток Storybook бібліотеки на базі TailwindCSS та DaisyUI для забезпечення візуальної єдності продуктів. Пропонуємо: Можливість пропонувати та реалізовувати власні ідеї, які впливають на продукт та його масове виробництво; Місце у стрімко зростаючій компанії з вмотивованою професійною командою; Конкурентну заробітну плату; Медичне страхування; Корпоративні заняття з англійської мови; Можливість взяти участь у внутрішньому проєкті бета-тестування систем безпеки Ajax; Знижки від компаній-партнерів; Знижки на продукти компанії. Ajax Systems — це українська історія успіху, яка виросла в глобальний продукт. Пристроям Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації.

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: New York, NY; San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Write the playbook for onboarding and educating customers onto Sierra – both the Agent SDK and Agent Studio, our no-code platform. - Lead the creation and execution of developer training and enablement programs. - Build content that scales — including technical documentation, educational videos, onboarding paths, and sample repositories for SDK adoption. - Develop and deploy AI Agents as an Agent Software Engineer, building the knowledge to become a world-leading expert on agent development. - Work with our marketing teams to publish developer case studies and success stories to inspire and connect our growing technical community. - One important aspect of this role is presenting educational content to customers, both live and on video. If you have recordings of any presentations you've given in the past, add links to one or two of your favorites here. WHAT YOU'LL BRING - Passion for helping customers across small and large enterprises learn to build exceptional AI Agents. - Degree in Computer Science or related field, or equivalent professional experience. - 4+ years of experience in hands-on software development of highly technical products or developer relations roles. - Excellent written and verbal communication skills and a desire to apply them in hands-on training sessions. - Desire, excitement, and enthusiasm for building an in-person, global community around developing AI Agents. - Strong technical skills and familiarity with modern software development — especially developer tooling, SDKs, and APIs. - Demonstrated experience in designing and executing technical training, certification, or community initiatives. EVEN BETTER... - Previous experience developing agents using open source tools like LangGraph or interacting with MCP servers. - Familiarity with agent platforms, developer communities, or early-stage developer product ecosystems. - Proficiency with TypeScript, and comfort with writing code in collaboration with agents like Claude, Codex or Cursor - Experience collaborating across product, engineering, and go-to-market teams to launch strategic initiatives. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Remote-Friendly (Travel Required) | 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 Anthropic is seeking an experienced Datacenter Controls Engineer to join our Datacenter Infrastructure team. In this role, you will design, implement, and optimize control systems that support our global datacenter infrastructure, enabling the reliable operation of AI at scale. You will work on cutting-edge control systems managing critical datacenter operations including liquid cooling systems (CDUs/CDMs), HVAC, electrical power monitoring systems, and building automation systems. This position requires both technical depth in industrial automation and the ability to collaborate across disciplines to deliver integrated solutions for high-density AI compute infrastructure. Responsibilities System Architecture & Integration Design and implement multi-site controls architecture across Anthropic's global datacenter facilities Define network topology, redundancy, and high-availability requirements for control nodes and servers Develop and maintain standardized frameworks for BACnet, Modbus TCP/IP, OPC-UA, MQTT, and SNMP communication layers Ensure integration between control systems and enterprise networks while maintaining security boundaries and compliance with cybersecurity frameworks for industrial control systems Control System Design & Implementation Define, design, develop, and implement control systems for datacenter mechanical, electrical, and building management systems with focus on AI compute environments Develop SCADA/BMS applications using platforms including Ignition, Niagara/Tridium, or similar HMI/supervisory systems Select and specify instrumentation including sensors, transmitters, actuators, and control valves for liquid cooling loops, power distribution, and environmental monitoring Data Collection & Visualization Architect and supervise deployment of centralized telemetry systems capable of storing high-resolution time-series data from power, thermal, and environmental sensors Develop intuitive dashboards and visualization layers using Ignition SCADA, Grafana, or comparable frameworks for facilities, operations, and engineering teams Leverage control systems to enable performance insights, fault detection, and predictive maintenance capabilities Construction Integration & Documentation Participate in new design and construction projects to ensure controls and BMS standards are embedded from design through commissioning Define and review controls and instrumentation specifications in architectural and MEP packages Create comprehensive technical documentation including P&IDs, control narratives, sequence of operations, and commissioning procedures Validate installed systems during commissioning for proper network configuration, protocol compatibility, and data visibility Minimum Qualifications Bachelor's degree in Engineering (Electrical, Controls, Mechanical, Computer) or equivalent practical experience 7+ years of experience in control systems design and implementation for industrial automation, building automation, or datacenter systems Deep familiarity with industrial communication protocols: BACnet, Modbus TCP/IP, OPC-UA, MQTT, SNMP, Ethernet-IP Experience with instrumentation selection, control panel design, and control system integration Working knowledge of network architecture including subnets, VLANs, firewall rules, and IP management Strong documentation skills and ability to work effectively in cross-functional teams Preferred Qualifications 10+ years in datacenter, critical facilities, or mission-critical infrastructure environments Experience with liquid cooling systems including CDUs, CDMs, and cooling tower control systems Background in high-density rack integration environments and AI/ML compute infrastructure Experience designing or deploying BMS/SCADA systems such as Ignition, Niagara/Tridium, Wonderware, or similar Strong background in database integration (SQL Server, InfluxDB, PostgreSQL, TimescaleDB) and data logging architecture Proficiency in Python or scripting for automation/configuration within SCADA/BMS frameworks Experience deploying multi-site redundant controls servers with high-availability requirements Professional Engineering (PE) license or vendor certifications (Schneider, Rockwell, Siemens) Knowledge of relevant codes and standards: ASHRAE, NFPA, IEEE, ISA Familiarity with Grafana, Node-RED, Ignition Perspective, or equivalent visualization tools Experience bridging cloud orchestration systems with facility-level power controls and load management (e.g., DCIM, BMS, EPMS) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $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: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building the Applied AI team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it. As the first FDE Manager, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments. This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction. This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow. Responsibilities Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts. Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers. Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities. Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work. Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems. Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed. Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned. Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning. Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts. You may be a good fit if you have 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. 2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers. Experience building organizations from 0->1, not just inheriting an existing one. Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics. Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers. Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist. Why this role matters You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $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: New Jersey, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Location: Vineland, NJ About The Role Nebius is seeking a Data Center Support Engineer to support large scale bare metal GPU infrastructure powering AI workloads. This role is responsible for operating, troubleshooting, and maintaining production infrastructure across servers, Linux systems, networking, firmware, drivers, and physical data center components. You will serve as a senior technical escalation point between data center technicians, infrastructure engineering, network engineering, systems engineering, and customer facing teams. The ideal candidate is hands on, comfortable in Linux, strong in hardware diagnostics, and able to troubleshoot complex issues across multiple layers of the infrastructure stack. What You’ll Do Support and troubleshoot production bare-metal GPU infrastructure across Nebius data center environments. Diagnose high-priority issues across Linux, hardware, firmware, BIOS, drivers, networking, storage, optics, cabling, and physical infrastructure. Perform hardware diagnostics, component replacement, firmware updates, BIOS configuration, break/fix, and infrastructure maintenance. Use Linux command-line tools, system logs, BMC data, and hardware health signals to identify root cause. Partner with data center technicians and engineering teams to coordinate remote troubleshooting, incident response, RCA, and operational recovery. Troubleshoot network connectivity issues involving TCP/IP, VLANs, DNS, DHCP, switch connectivity, optics, cabling, and link-level failures. Create troubleshooting guides, runbooks, escalation notes, and knowledge base documentation. Use scripting or automation to improve support workflows and reduce manual intervention. Participate in on-call or after-hours support for production infrastructure as needed. What We’re Looking For 5+ years of experience in data center operations, infrastructure support, systems administration, hardware support, cloud infrastructure, or similar technical environments. Hands-on experience troubleshooting bare metal servers, Linux systems, hardware components, and networking issues in production environments. Intermediate Linux command-line proficiency, including service validation, log review, process inspection, network configuration checks, and system diagnostics. Experience with server hardware diagnostics, component replacement, firmware updates, BIOS configuration, driver troubleshooting, or BMC tools such as iDRAC, iLO, IPMI, Redfish, or similar. Strong networking fundamentals, including TCP/IP, VLANs, DNS, DHCP, routing/switching concepts, optics, cabling, and link-level troubleshooting. Experience participating in incident response, escalation handling, root cause analysis, or operational recovery in high-availability environments. Strong communication and documentation skills, with the ability to work cross-functionally with data center, infrastructure, network, systems, and engineering teams. Nice To Have Experience with NVIDIA GPUs, GPU servers, HPC, AI infrastructure, or high-density compute platforms. Experience with Supermicro, Dell, HPE, Lenovo, Cisco UCS, Arista, Cisco, Juniper, or similar infrastructure platforms. Familiarity with InfiniBand, RoCE, MPO/MTP fiber, high-speed Ethernet, or clustered compute environments. Experience with Python, Bash, Ansible, Terraform, PowerShell, or similar automation tools. Familiarity with Jira, Confluence, ServiceNow, Grafana, Prometheus, Kubernetes, Docker, or similar operational tools. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $130,000 — $170,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Paris, France About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment. The role We are looking for a Technical Project Manager to join our team and manage different projects and changes in data center. You will work with modern GPU clusters, responsible for execution of projects around IT infrastructure and equipment: GPU servers, high-speed network, compute and storage systems. Acting as a key link between the stakeholders, project and technical teams, you will drive operational activities across your responsibility area. Your responsibilities will include: Management and delivery of IT infrastructure projects, change requests in data centers Proactively identify and manage resolution of technical and operational issues Managing risks and dependencies in live environments Maintain clear operational documentation, including plans, risk logs, and issue trackers. Lead communication with all stakeholders: provide regular progress updates, escalate blockers, and manage expectations. Lead meetings and technical discussions with a focus on decision-making, clear next steps, and timely execution. Collaborate with cross-functional teams. Engage directly with data center engineers, vendors, and operations teams. Participate in related project tasks, including automation, process improvements, and design support as needed. We expect you to have: Proven experience in data center infrastructure operations, preferably in high-performance or AI-oriented environments. Solid understanding of data center design and operations: racking, cabling, power planning, cooling considerations. Hands on experience working with IT hardware in data centers. Be comfortable in data center environments and during live operations. Experience in project delivery, team management, cross team collaboration Strong problem-solving skills; ability to troubleshoot technical and workflow issues in an IT stack. Ability to document processes, maintain tracking systems, and produce clear deployment reports. Activity, responsibility and purposefulness Ready for occasional business trips It will be an added bonus if you have: Familiarity with structured project management or delivery frameworks (e.g., PRINCE2, PMI, Agile) Relevant technical certifications In depth technical knowledge of GPU servers, compute nodes, high-speed networking Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — Проектировать, разворачивать и обслуживать распределённую сеть передачи данных; — Настраивать серверы и сетевое оборудование на уровне L2/L3; — Оптимизировать сетевой стек Linux; — Строить систему мониторинга и наблюдаемости сети; — Автоматизировать провижининг и конфигурационный менеджмент; — Участвовать в проектировании архитектуры ключевых сервисов. Требования: — Глубокий опыт работы с BGP (iBGP / eBGP / MP-BGP); — Практика настройки в FRRouting, GoBGP, Bird; — Опыт реализации EVPN/VXLAN и WireGuard-топологий в продакшене; — Уверенность в диагностике проблем от сервера до магистрального провайдера; — Настройка и тюнинг сети в Linux (производительность, low latency); — Понимание сегментации, iptables/nftables/ferm; — Автоматизация через Ansible. Будет отличным бонусом: — Опыт с Docker, Nomad, Kubernetes; — Мониторинг: Zabbix, VictoriaMetrics, Grafana, Alertmanager, LibreNMS; — Работа с публичными облачными провайдерами (AWS/OVH/Hetzner/GCP/Alibaba) или с приватной инфраструктурой; — Знание OSPF, PIM; — Remote VPN (OpenVPN, SSL-VPN); — Опыт с Cisco Nexus. Условия: — Релокация в Испанию (Бильбао) для вас и семьи — полная поддержка с документами, адаптацией, жильём и учетом питомцев; — Гибкий график без контроля присутствия; — Отпуск, когда необходимо, а не по расписанию; — Среда, где ценят инженеров и дают принимать решения.

Location: Beograd, Serbia Workplace: hybrid About The Role: At Paysend , our products handle millions of money movements across markets , where reliability and accuracy are critical. Behind every transaction is a complex set of systems and processes that need to work exactly as expected. We are looking for a QA Engineer to join our team and help ensure the quality and reliability of our web and mobile products. You will test real-world customer scenarios across multiple platforms and services, investigating issues across APIs, microservices, databases, and asynchronous processes to understand what happens at every step. We are looking for someone who combines strong testing fundamentals with technical curiosity and a practical understanding of how complex products work. What You'll Do (Responsibilities): Functional, regression and acceptance testing of user scenarios across web, iOS and Android. Testing money flows: transfers, card top-up/withdraw, FX and rates, tariffs, limits, fees, bonuses and referrals. Testing onboarding and KYC, including the integration with our verification provider (Sumsub). Testing payment and authentication integrations: 3DS/SCA, Google Pay, Apple Pay, OTP and passcode. API testing (REST/gRPC): inspecting requests, responses and traces, validating contracts and error handling. Testing interaction between microservices: asynchronous scenarios, events in queues, idempotency, retries and degradation paths. Verifying state in the database: transaction and process statuses, balances, profile data. Requirements analysis and participation in grooming: reviewing user stories, raising questions about design and logic early, assessing risk. Designing and maintaining test cases and test plans, tracking defects in Jira, taking part in release checks. Preparing test data and working with test environments. Mentoring junior colleagues and helping evolve QA practices and processes in the team. What You’ll Need To Be Successful In This Role: 6+ years in manual testing, a meaningful part of it in fintech, banking, payments or another product that moves money. Experience testing a single product across web and mobile (iOS/Android), with a good grasp of cross-device and responsive specifics. Experience with and understanding of testing microservice-based applications: how to test a service in isolation and in combination, where to look for the root cause of a failure, what an asynchronous scenario is and why it breaks. Hands-on experience with message brokers (Kafka, RabbitMQ or similar): reading and publishing messages, verifying events within a scenario. Practical API testing: Postman/Insomnia or equivalents, working with REST, reading logs and traces; gRPC is a plus. Confident SQL at the level of queries and joins (PostgreSQL or a similar database). Basic programming skills in any language (Python, Java, JavaScript, etc.) — enough to write a script, read someone else's code and prepare test data. Experience using AI tools to optimise and automate day-to-day work: generating and reviewing test cases, analysing logs, preparing data, speeding up routine tasks. Experience with a test management system (Allure TestOps or similar) and Jira, and the ability to write clear, reproducible bug reports with enough context for a developer. Confident use of browser dev tools and a debugging proxy for network inspection (Charles, Proxyman, Fiddler). Systems thinking: the ability to decompose a scenario and find edge and negative cases, not just walk the happy path. English at a level that supports fluent working communication in a distributed team. Nice To Have: Domain knowledge: the payment lifecycle, transaction statuses, currency conversion, fees and limits, KYC/AML requirements as they show up in the user journey. Experience with Google Cloud Platform An understanding of how E2E automation works (Playwright, visual regression) and the ability to shape manual coverage so that it complements it. Experience with server-driven UI or configuration-driven scenarios. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.