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Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Principal Engineer, Data & Machine Learning San Mateo, CA Why PlayStation Data & Intelligence PlayStation reaches more than 100+ million people. Behind those experiences is one of the largest consumer data estates in entertainment: tens of petabytes under management and trillions of telemetry events a year, powering personalization, experimentation, partner analytics and enterprise decisions across the company. We are in the middle of a multi-year shift in how that data creates value. Today intelligence often arrives after the moment has passed. Our goal is a connected intelligence layer where trusted context about players, content, partners and the business is built once, reused everywhere, activated at the point of decision, and improved by evidence about what happened next. That includes serving AI models and agents with the same governed meaning, quality and permissions we give to people. This role helps shape how that is built across PlayStation. The Role We are looking for a Senior Principal Engineer, Data & Machine Learning to serve as chief architect for our Data & Intelligence organization and as the senior technical authority for how SIE builds, reuses and activates trusted data and intelligence. This is one of SIE’s most senior individual-contributor roles. You will report directly to the Vice President of the organization, sit on the leadership team alongside the Sr. Directors who run our two delivery portfolios, chair our architecture review forum, and lead a community of Principal Engineers anchored to the major architectural seams. You will have no direct reports by design; your leverage comes from the architecture, the standards and the decisions the whole organization builds against. This is a hands-on role. You will author architectures and reference implementations, prototype uncertain approaches, review the designs and code that matter most, and step in directly when a technical problem puts an important outcome at risk. What You’ll Own You will set the architecture for, and drive reuse across, the initiatives that define the next three years of data and intelligence at PlayStation: A single, reusable understanding of the player. The context, lifecycle and lifetime-value intelligence that powers experiences and decisions across PlayStation, built once and reused rather than rebuilt per use case. Content and game understanding. Intelligence about titles, experiences and how players engage with them, connected through engagement and content graphs to improve discovery, personalization and new AI experiences. Creator and partner intelligence. Reusable title, launch and lifecycle intelligence available to partners at the point of decision, before launch, while live and after. Unified measurement. Experimentation, attribution and causal measurement so the company knows what changed an outcome, by how much, and what to do next. Activation. Real-time signals, activation data products and APIs that deliver trusted context into the systems that personalize and act. Semantic and conversational intelligence. A shared layer of business meaning and metrics that people, analytical tools and AI agents can query and trust. Enterprise decision data. Decision-grade finance and supply-chain data that accelerates transformation programs across SIE. Trusted foundations and golden paths. Data contracts, certification, lineage, unified events and standard publish-to-consume paths, with trust designed into the lifecycle; and launch data readiness so priority launches have their signals and measures from day one. What You’ll Do Translate our multi-year Data & Intelligence strategy into a coherent technical strategy and target architecture, with clear principles for trusted data products, ML systems, shared intelligence, evaluation, activation and lifecycle management. Chair the architecture review forum: set its charter and cadence, publish decisions, track adoption and hold the line on non-conforming designs. Own the boundary decisions between platform capabilities built for reuse and domain delivery, and keep them stable. Define and ratify the standards teams build against: data contracts, golden paths, model evaluation and experimentation, observability, reliability, cost and lifecycle management. Lead the technical direction of our hardest cross-organizational initiatives; author proposals, reference designs and prototypes that establish a credible path from concept to production. Work directly with engineering and data science teams to remove critical blockers, so that decisions become usable capabilities rather than architecture on paper. Partner with security, privacy, legal, governance and responsible-AI teams to embed controls throughout the data and ML lifecycle, including the responsible use of proprietary data, third-party and foundation models, and externally hosted AI services. Identify duplicative capabilities, drive rationalization and retirement, and improve interoperability across SIE’s data and ML landscape. Advise senior executives on major technical investments, tradeoffs, emerging capabilities and long-term risk; produce the written recommendations that drive annual planning. Connect technical investment to named consumers, decisions and measurable outcomes; define how we measure adoption, reuse, time-to-action, quality, reliability, safety and cost. Lead a community of Principal Engineers; mentor Principal, Staff and Senior engineers, architects, ML engineers and data scientists. Represent SIE’s data and machine learning direction in senior leadership forums, partner organizations and, where appropriate, the broader industry. What We’re Looking For 15+ years in software, data or machine learning engineering, including 9+ years leading the architecture and delivery of large-scale, complex systems. A track record of authoring architectures, standards or platforms that were adopted across multiple organizations and stayed in use. Experience taking data, ML or decisioning systems serving tens of millions of consumers into production and operating them at scale. Experience chairing, or being the deciding technical voice in, an architecture review forum spanning multiple engineering organizations. Deep expertise in at least two of: reusable data products, semantic and metadata layers and data contracts; ML platforms, lifecycle management, evaluation and decisioning; real-time signals, distributed inference and activation platforms; experimentation and causal measurement; generative AI, retrieval and agentic systems; responsible AI, privacy and technical governance. Strong command of distributed systems, cloud, data architecture, APIs, security, reliability, observability and performance engineering. Demonstrated ability to influence senior executives, engineering and product leaders, and cross-functional partners without direct authority. Outstanding written communication. This role leads through documents. Experience mentoring Staff, Principal or similarly senior technical professionals. Master’s degree in Computer Science, Machine Learning, Engineering or a related discipline, or equivalent experience. Nice to Have Data and ML applied in gaming, entertainment, media, digital commerce or another large-scale consumer ecosystem. Personalization, recommendations, customer intelligence, content intelligence, experimentation or predictive decisioning at scale. Shared data or ML platforms serving multiple products and organizational domains. Feature, vector, graph, semantic or knowledge platforms; AI gateways and LLMOps. Experience translating research or emerging technology into production capabilities. Contributions to the field through open source, patents, publications, standards or conference talks. Why You’ll Love This Role Set the technical direction for data and intelligence across PlayStation. Own the architecture behind experiences reaching more than 100 million people. Report directly to the VP and sit on the organization’s leadership team. Build once, reuse everywhere: the mandate is to end duplicated work, not add to it. Work with strong Principal and Staff engineers, data scientists and product leaders across the company. Stay hands-on at the most senior IC level. #LI-KS1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $304,200 — $456,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - Systems and Software Team Lead - Location: Espoo, Finland - Department: Global Manufacturing Organisation - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: We are looking for a Systems and Software Team Lead to own systems and software production and satellite-level testing for ICEYE's SAR satellites, from production integration through to proof that every onboard system performs reliably before a satellite ships. Your team is responsible for onboard software loading, validation, and checkout during production, and full satellite-level functional and end-to-end system checkout, including RF testing in the anechoic chamber as part of that satellite-level test campaign. You will lead a multidisciplinary team of engineers and technicians across systems and software, and carry the ultimate responsibility for flight readiness on the systems and software side of the build. This is a hands-on leadership role at the core of production. You'll spend time on the floor with your team, troubleshooting, unblocking issues, and improving processes, while working alongside the Integration and Mechanical team leads to keep the overall satellite build on schedule and to the highest quality standards. ICEYE's production volumes are scaling significantly, and this role is central to building the systems, tooling, and team needed to support that growth.   WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.   YOUR DAY-TO-DAY RESPONSIBILITIES   LEADING SYSTEMS & SOFTWARE PRODUCTION - Own systems and software production for ICEYE's SAR satellites, ensuring mission readiness from integration through launch - Plan, coordinate, and execute satellite build stages across production, from initial integration through flight readiness - Own end-to-end production flows for onboard software, avionics, and SAR payload system integration - Be hands-on: lead troubleshooting, unblock issues, keep production momentum OWNING SATELLITE-LEVEL VERIFICATION - Drive execution of system-level functional testing, verification, and acceptance for SAR flight units, once integration is complete - Prove that all onboard systems (avionics, power, software) perform reliably in full configuration - Own planning, execution, and reporting of system-level functional tests and inspections, including RF testing of the full satellite in the anechoic chamber - Ensure anechoic chamber test setups are properly scheduled, maintained, and executed as part of the satellite-level test flow OWNING SOFTWARE IN PRODUCTION - Own onboard software loading, validation, and checkout during production and verification - Maintain and improve test automation, scripts, and software-supported verification flows with keeping supporting stakeholders in loop. - Ensure robustness of SAR mission software, including payload control, data handling, and spacecraft operations DRIVING QUALITY, TRACEABILITY & COMPLIANCE - Maintain configuration control, build discipline, and full traceability - Ensure compliance with aerospace quality standards - Manage technical risks, anomalies, and non-conformances through root cause analysis and corrective action, identifying and driving resolution of the issues most critical to the production line BUILDING SCALABLE, REPEATABLE PROCESSES - Define and continuously improve scalable production workflows, work instructions, test procedures, and checklists together with AIT Engineering and Quality - Turn unclear inputs into clear, usable verification processes, reducing reliance on tribal knowledge - Drive throughput and reduce rework while protecting quality, as production volumes scale LEADING & DEVELOPING THE TEAM - Lead, coach, and grow a multidisciplinary team across systems and software, including satellite-level test execution - Mentor and lead the team, fostering operational excellence, accountability, and a high-reliability spaceflight culture - Train and mentor on systems and software test best practices and fault diagnostics, including anechoic chamber test execution WORKING ACROSS TEAMS & SCALING - Act as the primary technical interface between AIT engineers, engineering, production, and mission operations for SAR missions - Coordinate closely with the Integration and Mechanical team leads to ensure a unified, on-schedule satellite build - Prepare verification and production processes for higher volumes; define and track KPIs WHAT WE’RE LOOKING FOR MUST HAVES: - Strong leadership experience, with the ability to manage and guide a multidisciplinary team of engineers and technicians, fostering collaboration and growth - Proven expertise in systems and/or software integration for complex hardware, ideally in satellite, aerospace, or a similarly regulated high-reliability environment - In-depth knowledge of onboard software, avionics, and payload systems, and how they interact with the broader satellite build - Comfort with software in test: flight software loading/validation, test automation, and scripting - Strong background in root cause analysis, anomaly management, and non-conformance resolution - Familiarity with satellite-level test methods, including exposure to RF/anechoic chamber testing (spectrum analyzers, network analyzers, signal generators, power meters) - Excellent organizational and planning skills, able to coordinate across multiple technical disciplines and manage competing priorities - Effective communicator, able to convey technical updates clearly to engineers, technicians, and senior management, including C-level executives WHAT SUCCESS LOOKS LIKE - Every satellite's systems and software performance is verified reliably, predictably, and to standard before it ships, including its RF/anechoic chamber test results - Systems and software verification processes are clear, structured, and scalable - Problems are isolated and solved at the root, not patched - The team takes full ownership of production and verification quality and traceability - Production and verification throughput keep pace with ICEYE's growth WHY THIS ROLE IS INTERESTING - You bring systems and software production and verification together under one scope, including the satellite's final anechoic chamber test - You own the moment of truth: proving that every satellite works end-to-end before it ships - You'll shape how production and verification are done, not just follow existing processes - You'll work at the intersection of engineering and production, where your decisions have immediate impact APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager General Interview - Technical Interview, including a Technical Challenge - Hiring Team Interview - Director Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is depends on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Remote (United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We’re seeking a skilled and diligent full-time Software Engineer to join our growing team. You will work as part of the Dataplane Engineering Team to: Contribute to the core client connectivity features of Tailscale by applying a deep understanding of network engineering and software development. Evolve and enhance the Tailscale connectivity offerings between clients, subnet routers, exit nodes and other integrations with customer network infrastructure. Provide architectural insights and resolve escalated customer network issues to fix complex connectivity problems. Collaborate with product management and internal engineering to develop integrated network solutions that prioritize scalability and ease of maintenance while ensuring a superior customer experience. Because we’re an early-stage and fully remote company, we’re looking for a strongly motivated individual who can help move the product forward. The ability to think on your feet, collaborate with highly technical teams, and comfort working asynchronously are essential. Key Responsibilities Design, build, test, and document core Tailscale’s client-side networking software. Advance product features by building upon or merging established industry network protocols with Tailscale's specific designs and frameworks. Adopt a security-centric approach to both architecture and coding to guarantee the resilience and safety of networking modules. Evaluate and optimize the performance, reliability, and scale of our software across a wide array of technical platforms and hardware. Provide expert consultation and support the customer success teams with critical network escalations within key customer environments. Engage actively with the open-source community and contribute to relevant projects. What We Are Looking For Significant experience with networking software and diagnosing networking issues Possess a comprehensive grasp of networking engineering, such as routing, VPNs, IP address management, and NAT traversal. Proficiency in Go or other low-level languages (e.g. C/C++, Rust), including a strong grasp of concurrent programming and techniques for optimizing performance. Experience with large scale distributed systems is highly desirable Knowledge of low-level OS network stacks is highly desirable Ability to give and process constructive feedback, as well as work independently Flexibility to adjust to the dynamic nature of a startup Excellent written and verbal communication skills As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. US Pay Range $163,000 — $226,000 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Remote (Canada) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We’re seeking a skilled and diligent full-time Software Engineer to join our growing team. You will work as part of the Dataplane Engineering Team to: Contribute to the core client connectivity features of Tailscale by applying a deep understanding of network engineering and software development. Evolve and enhance the Tailscale connectivity offerings between clients, subnet routers, exit nodes and other integrations with customer network infrastructure. Provide architectural insights and resolve escalated customer network issues to fix complex connectivity problems. Collaborate with product management and internal engineering to develop integrated network solutions that prioritize scalability and ease of maintenance while ensuring a superior customer experience. Because we’re an early-stage and fully remote company, we’re looking for a strongly motivated individual who can help move the product forward. The ability to think on your feet, collaborate with highly technical teams, and comfort working asynchronously are essential. Key Responsibilities Design, build, test, and document core Tailscale’s client-side networking software. Advance product features by building upon or merging established industry network protocols with Tailscale's specific designs and frameworks. Adopt a security-centric approach to both architecture and coding to guarantee the resilience and safety of networking modules. Evaluate and optimize the performance, reliability, and scale of our software across a wide array of technical platforms and hardware. Provide expert consultation and support the customer success teams with critical network escalations within key customer environments. Engage actively with the open-source community and contribute to relevant projects. What We Are Looking For Significant experience with networking software and diagnosing networking issues Possess a comprehensive grasp of networking engineering, such as routing, VPNs, IP address management, and NAT traversal. Proficiency in Go or other low-level languages (e.g. C/C++, Rust), including a strong grasp of concurrent programming and techniques for optimizing performance. Experience with large scale distributed systems is highly desirable Knowledge of low-level OS network stacks is highly desirable Ability to give and process constructive feedback, as well as work independently Flexibility to adjust to the dynamic nature of a startup Excellent written and verbal communication skills As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. CAN Pay Range $218,420 — $302,840 CAD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: British Columbia Workplace: Hybrid Safe Software is looking for a Senior Project Manager, Cloud Services to join our Information Services team. We have an immediate opening and are excited to find the right candidate to join our team. As a Senior Project Manager, Cloud Services, you will own and advance key initiatives within our corporate cloud services space, directly influencing service reliability, scalability, security, and cost efficiency. Your leadership will play a key role in supporting internal teams and driving Safe Software’s infrastructure into the future. ABOUT THE TEAM As a part of the Information Services team, you’ll join a group of cross-functional experts in IT Support, Information Security, Revenue Operations and Service Enablement who collaboratively support our internal technical operations. The group is responsible for managing corporate IT infrastructure, ensuring robust cloud governance, supporting product development and business teams, financial transparency, and maintaining high standards of security and compliance. WHAT YOU’LL BE DOING As a Senior Project Manager, Cloud Services, you will be responsible for: FinOps & Cost Optimization - Champion FinOps culture across teams with transparency and efficiency initiatives. - Optimize spend with reserved instances, autoscaling, and cost dashboards. - Collaborate with Finance to forecast budgets and manage cloud vendor contracts. Cloud Infrastructure Projects - Oversee architecture, deployment, and lifecycle of Azure, AWS and GCP environments. - Implement scalable, secure, and cost-efficient cloud infrastructure frameworks. - Establish and promote best practices for AI-centered automation, governance, and Infrastructure as Code (IaC). - Drive backup, disaster recovery, and multi-regional availability strategies. Enterprise IT - Manage strategic vendor relationships, Enterprise SaaS architecture and service optimization. - Collaborate with IT Support, Legal and InfoSec to enhance IAM, data retention, and compliance. Security & Compliance - Partner with InfoSec on security incident response and enforcement of best practices. - Align cloud operations with security frameworks (SOC 2, ISO 27001, GDPR). - Improve RBAC and least-privilege access models. Product Team Partnership - Enable product engineering, DevOps, operations and support teams with secure, cost-effective infrastructure. - Define provisioning guidelines that align with performance, security, and budget goals. - Provide cloud architecture advice for new product initiatives. Leadership & Team Development - Define and execute the corporate cloud roadmap in line with company strategy. - Evaluate and adopt emerging technologies, including AI tools. - Represent IS in cross-functional leadership forums. QUALIFICATIONS, SKILLS, AND COMPETENCIES Safers come from a variety of backgrounds with a diversity in skills and knowledge. That said, we find that those who are most successful in this role have experience with the following areas. What You’ll Be Doing: - A Bachelor’s degree in Computer Science, Information Systems, or a related field or an equivalent combination of education and related experience. - 6+ years of experience managing and delivering cloud services or enterprise IT initiatives, ideally within SaaS or other software-driven organizations. - Proven experience leading cloud services and corporate IT functions. - Strong understanding of cloud platforms (Azure, AWS, GCP) and the ability to collaborate effectively with technical experts. - Strong grasp of FinOps, IT automation, and governance practices. - Security and compliance expertise (e.g., SOC 2, ISO 27001, GDPR). - Familiarity with Infrastructure as Code practices (e.g., Terraform, CloudFormation). - Cost optimization tools and dashboarding (e.g., CloudHealth, AWS Cost Explorer). - Security best practices, including IAM and RBAC. - Ability to clearly communicate strategy and technical concepts to technical and non-technical stakeholders. - Experience influencing cross-functional teams and senior leadership. Nice to Have: - Exposure to AI-driven solutions in IT/cloud environments. - Strategic experience in vendor negotiations and cloud roadmap definition. WHAT YOU CAN EXPECT When you choose a career with Safe Software, you’re also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team! ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: Bulgaria; Czech Republic; Slovenia; Spain; Albania; Greece; Croatia; Estonia; Serbia; Poland; Armenia; Portugal; Italy; France / Paris; Türkiye; Romania; Slovakia Workplace: Remote JOB DESCRIPTION Location: Remotev- EMEA (occasional travel to client sites and HQ) Start date: ASAP Languages: Fluent English is mandatory; French is a plus Industry: AI Infrastructure / Sovereign Cloud / Modular Data Centers Pragmatike is recruiting on behalf of a fast-growing European deep-tech company building a sovereign, energy-efficient alternative to traditional hyperscale cloud providers. Our client is one of the very few companies in the sector to control the full value chain end to end flexible energy sourcing, modular data center infrastructure, and distributed orchestration software, delivered as one integrated AI compute platform. As part of its rapid growth, the company is strengthening the Finance team of its infrastructure division, which deploys modular micro data centers for cities, institutions, energy producers and enterprises. PROFESSIONAL BACKGROUND: We're looking for a senior Finance Business Partner who is equally comfortable working with internal operational and commercial teams and engaging directly with end clients. This is not a pure reporting role: you will build the financial models that underpin investment decisions, and you'll be confident presenting and defending ROI directly in front of a client or partner. Experience in a startup or hyper-growth environment, and/or in infrastructure, energy or capex-heavy industries (data centers, industrials, cleantech), is a strong plus. Autonomy, analytical rigor and ease with client-facing communication are essential. YOUR RESPONSIBILITIES: - Act as Finance Business Partner to the commercial, operations and product teams, bringing financial analysis to bear on their key decisions. - Build and maintain financial simulation models (business plans, unit economics per infrastructure unit, deployment scenarios) to support the company's growth strategy. - Model and present ROI and TCO of infrastructure deployments directly to clients (cities, institutions, energy producers, enterprises), supporting the commercial team throughout the sales cycle. - Own monthly financial reporting, profitability analysis by site/unit, and tracking of key performance indicators (margin, cash conversion, payback period). - Contribute to budgeting and forecasting, and challenge operational assumptions in partnership with business teams. - Analyze the cost structure of manufacturing and deploying infrastructure units, and identify optimization levers with the industrial/production teams. - Prepare financial materials for governance bodies (executive committee, board, investors) and support due diligence for fundraising or asset financing. - Collaborate with finance teams across the group's other operating companies to ensure consistency of models and consolidated reporting. WHAT YOU BRING: - Proven senior-level experience in corporate finance, FP&A, or business finance, ideally in a capex-intensive environment (infrastructure, energy, industrials, telecom, data centers). - Excellent financial modeling skills (advanced Excel, ROI models, NPV/IRR, multi-scenario business plans). - Demonstrated ability to present and simplify complex financial analysis for non-financial audiences, including clients and partners. - Solid understanding of the cost and profitability mechanics of physical assets (capex, depreciation, operating costs, recurring revenue). - Strong analytical skills, structured thinking, and rigor in producing finance deliverables under time pressure. - Fluent English (mandatory, international working environment); working knowledge of French is a plus. - Comfortable operating in a fast-growing environment with shifting priorities and limited established process. NICE TO HAVE: - Prior experience in AI infrastructure, cloud, data centers, or renewable energy. - Familiarity with asset financing mechanisms (project finance, leasing, structured financing) applied to industrial equipment. - Experience in a multi-entity / multi-country environment, with group-level consolidated reporting. - Interest in BI and reporting automation tools (Power BI, SQL, scripting). - Prior experience in consulting, investment banking, or private equity, with a focus on infrastructure or the energy transition. WHY JOIN US: Our client is one of the very few companies worldwide to control the entire AI infrastructure value chain, from energy through to orchestration software. You will join a team deploying a tangible technology, modular units operational within months, on an ambitious growth trajectory toward becoming one of the largest distributed infrastructure networks globally. Expect real autonomy from day one, direct access to clients and group leadership, and the opportunity to build the financial foundations of a company building something that doesn't exist yet. Pragmatike is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: Remote GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Commercial Account Executive, Mid-Market, you’ll be the primary point of contact for prospective and existing customers in our mid-market segment, helping organizations modernize how they plan, build, secure, and ship software with GitLab’s AI-powered DevSecOps platform. You’ll own a broad book of business in your territory and serve as a strategic, trusted advisor to your accounts as you prospect, run complex sales cycles, and guide customers on their journey with GitLab to achieve clear business outcomes while supporting adoption and reducing churn. You’ll collaborate closely with Sales Development, Solutions Consultant, Renewals, Partners, and Sales leadership, using value-based selling and structured sales methodologies (such as MEDDPICC and Command of the Message) to build a healthy pipeline, run accurate forecasts, and support revenue goals across a wide range of deal sizes. Must be located in East or Central timezones in the US. What you’ll do Own and manage a broad Mid-Market book of business as the primary point of contact in your territory, focusing on new and expansion opportunities. Focus on customer accounts with 250 to 1,999 employees, managing the spectrum of project sizes and complexity within the mid-market segment. Articulate the value of GitLab’s AI-powered DevSecOps platform to Mid-Market prospects and customers, tailoring messaging to their business and technical needs. Build and maintain a healthy pipeline through consistent prospecting, qualification, and advancement of opportunities, using structured methodologies (such as MEDDPICC and Command of the Message) to support your pipeline and revenue goals. Document buying criteria, decision processes, next steps, and key stakeholders to run disciplined, well-orchestrated sales cycles. Collaborate with sales development, customer success, renewals, marketing, technical teams, and partners to deliver a cohesive pre- and post-sales experience, co-sell and close opportunities, and expand GitLab’s footprint while delivering added value for customers. Support customer adoption of GitLab solutions, proactively work to reduce churn and contraction, and participate in quarterly forecasting and territory planning. Contribute to continuous improvement by sharing win/loss insights, updating the sales handbook, and being a clear voice of the customer into the product via our public issue tracker. What you’ll bring Experience selling SaaS solutions by leading value-based conversations with technical and business stakeholders, ideally including development or DevSecOps teams. Ability to manage a broad mid-market territory as the primary point of contact, owning a book of business from prospecting through close, adoption, and expansion. Skill in building and maintaining strong customer relationships, including effective discovery, negotiation, and closing to support long-term customer outcomes. Comfortable driving consistent outbound prospecting activity, creating and maintaining a healthy pipeline, and maintaining accurate territory and forecast documentation. Ability to collaborate closely with cross-functional partners (sales development, customer success, renewals, marketing, partners, and technical teams) to coordinate account strategies. Clear and structured communication skills, including presenting the GitLab value proposition to different audience levels and documenting customer insights and lessons learned. Interest in GitLab, open source, and tools that support software development, with the ability to connect customer business challenges to GitLab’s DevSecOps platform. Willingness to travel to meet customers and attend events as needed, and openness to bringing relevant, transferable sales experience from a variety of backgrounds. About the team The Commercial Account Executive - Mid-Market role sits within GitLab’s broader Sales organization, focused on helping mid-market customers adopt and expand their use of our AI powered DevSecOps platform. You’ll be part of a distributed team of Account Executives, Sales Development, Solution Consultants, Renewals, and Partners who work asynchronously across regions to manage a broad book of business and a wide range of opportunity sizes. Our mission is to guide customers through their journey with GitLab, from first evaluation to long term value realization, by developing new business, strengthening customer relationships, and supporting healthy product adoption. We collaborate closely through shared playbooks, our sales handbook, and GitLab itself to stay aligned on territory plans, pipeline health, and best practices. For more on how we work, see the Commercial Account Executive Handbook . Remote-Global The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $68,800 — $114,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Atlanta Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. At Checkout.com http://Checkout.com, we build the global payment infrastructure that empowers the world’s most innovative businesses to thrive. We are looking for an exceptional Underwriter to join our Atlanta team and play a pivotal role in our growth. In this role, you won’t just be ticking boxes—you will be a strategic partner. You will dive deep into complex enterprise business models, evaluate credit exposure, and balance risk with commercial opportunity. Operating at the intersection of Risk, Sales, and Legal, you will get unique, cross-functional exposure while working directly with some of our highest-value merchants. HOW YOU’LL MAKE AN IMPACT - Deconstruct Complex Business Models: Analyze enterprise-scale applications and apply creative evaluation techniques to unlock high-value, complex deals while adhering to internal risk guidelines. - Navigate High-Stakes Verticals: Confidently underwrite merchants in high-risk lines of business, including travel, ticketing, securities, and gaming. - Quantify & Mitigate Risk: Calculate credit exposure dynamically, tailoring your approach to the specific nuances of each merchant. - Drive Financial Diligence: Dissect P&Ls, balance sheets, and cash flow statements, applying a deep understanding of accounting principles to assess financial health. - Advise & Influence: Synthesize complex micro and macro risks into clear, balanced recommendations. You will present these insights directly to Senior Management, the Credit Risk Committee, and our partner banks. - Be the Face of Underwriting: Join forces with Sales and Account Management on customer calls, acting as a trusted advisor to our clients. - Enable Next-Gen Payouts: Assess and process applications for our innovative Pay to Card and Pay to Bank solutions. WHAT WE’RE LOOKING FOR - Proven Expertise: 4+ years of experience in merchant underwriting or a closely related financial analysis role. - Financial Acumen: Expert-level ability to assess diverse business models, analyze financial statements, and identify credit risk exposure. - A "Customer First" Mindset: Excellent communication skills with a knack for delivering creative, commercial solutions without compromising risk standards. - Collaborative Drive: A true champion of our "One Team" culture who builds bridges across cross-functional departments. - Decisive Execution: Strong escalation management skills—you act with urgency, take ownership, and resolve roadblocks effectively. - An Innovator's Spirit: A passion for operational excellence and a desire to actively contribute to broader departmental projects and process improvements. - Bonus Points: Familiarity with Customer Due Diligence, KYC, and KYB protocols is a strong plus. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As Cloud Manager, you will define the strategy, vision, and direction for DRW's multi-cloud environment, overseeing architecture, design, implementation, optimization, and support across the firm while leading a high-performing team of cloud engineers. You will ensure our cloud infrastructure is secure, highly available, and optimized to deliver the performance, scalability, and reliability our continued growth demands. Partnering closely with engineering, security, and business teams, you will set the standard for operational excellence and innovation across DRW's cloud platforms. What You'll Do: Platform Management: Lead the design, implementation, and ongoing management of DRW's cloud platforms, including but not limited to AWS, Azure, GCP, Alibaba Cloud, and Snowflake, along with the associated hybrid and on-premises dependencies, applying best practices for performance, security, and availability. Vision & Strategy: Own the cloud roadmap and workplan, setting strategic priorities that meet business needs while promoting scalability, sustainability, and innovation. Team Leadership: Mentor, grow, and lead a collaborative, high-performing engineering team, including hiring, performance reviews, career development, day-to-day guidance, and holding the team accountable for delivery. Stakeholder Support: Serve as the primary point of contact for internal customer teams, delivering cloud solutions that meet their requirements and optimize operational costs. Integration & Collaboration: Work closely with security, networking, and other technology groups to engineer resilient cloud connectivity and ensure seamless integration across environments. Operational Excellence: Establish proactive observability, monitoring, and alerting, and act as the escalation point for complex production issues. Maintain operational work tracking What We're Looking For: 10+ years of technical experience engineering and administering production cloud environments in multi-cloud and hybrid settings, with strong AWS experience and exposure to one or more of Azure, GCP, Alibaba Cloud, and Snowflake. 4+ years of experience managing and leading a team of cloud engineers, including performance reviews, mentoring, and workload management. Ability to combine strong strategic vision with technical leadership to drive platform evolution. A proven track record of delivering secure, scalable, and high-performance cloud solutions in mission-critical environments. Strong knowledge of cloud networking, cloud security fundamentals, and infrastructure as code, including Terraform, Python, CI/CD, and Git. A service-first approach, delivering highly reliable, utility-grade cloud infrastructure with clear cost visibility and FinOps practices. Effective collaboration with peer engineering teams to improve velocity, reliability, and efficiency. Excellent communication and stakeholder management skills. Previous experience in financial services or trading environments is a plus. Willingness to participate in a 24/7 on-call rotation supporting production cloud environments. The annual base salary range for this position is $225,000 to $275,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-LD1]

Location: Taipei / Taiwan Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Strategic Account Leader on our Public Sector Team, you’ll help Department of War agencies modernize how they build and secure software using GitLab’s AI-powered DevSecOps platform. You’ll align GitLab with agency priorities like CI/CD automation, secure development practices, and infrastructure modernization in regulated environments, acting as the primary point of contact for strategic and large prospects. Reporting to a Regional Director, you’ll own a defined book of business, build and execute multi-year account plans, navigate complex procurement cycles, and partner closely with system integrators and resellers to deliver outcomes that matter to public sector missions. In your first year, you’ll focus on developing trusted relationships with CIOs, technical leaders, and key stakeholders across your territory, driving successful rollouts and adoption of GitLab, and coordinating with our pre- and post-sales engineering and support teams. You’ll also represent the voice of your customers internally by sharing product feedback and ideas through our public issue tracker, helping shape how GitLab serves the public sector over time. What you’ll do Build and execute strategic account plans that align GitLab’s AI-powered DevSecOps platform with public sector modernization initiatives Navigate complex procurement and contracting processes while shaping multi-year technology roadmaps with CIOs and technical leaders Act as the primary point of contact and trusted advisor for strategic and large public sector prospects and customers Own your book of business, from pipeline development through close and expansion, using a consultative, mission-focused sales approach Collaborate with pre-sales and post-sales engineering, customer success, and support teams to ensure successful rollout, adoption, and value realization Partner with system integrators, resellers, and other channel partners to generate qualified leads and co-create solutions for government challenges Conduct ongoing prospecting and opportunity development activities within large and strategic accounts to drive new and expansion business Represent the voice of the customer by sharing feedback and product ideas through GitLab’s public issue tracker and internal teams What you’ll bring Experience selling technology solutions to Department of War agencies Knowledge of the software development lifecycle, including CI/CD automation, secure development practices, and infrastructure modernization Understanding of compliance requirements, and agency buying cycles, with the ability to navigate complex stakeholder environments Consultative sales approach that positions technology as a mission enabler and aligns solutions to public sector modernization initiatives Ability to manage major accounts with a high degree of ownership and control, working under minimal supervision on complex opportunities Skill in collaborating with system integrators, resellers, and internal pre- and post-sales teams to drive successful customer outcomes Effective written and verbal communication skills, with strong interpersonal abilities to build consensus across technical and non-technical stakeholders Alignment with GitLab’s values, openness to learning, and readiness to apply transferable skills and diverse experiences to the public sector domain About the team The Public Sector Team focuses on helping U.S. Department of War agencies modernize how they build, secure, and operate software using GitLab’s AI-powered DevSecOps platform. You’ll join a distributed group of strategic account leaders, solutions architects, and channel specialists who collaborate asynchronously across time zones to serve complex, regulated customers. We partner closely with system integrators and resellers, align with agency procurement processes, and coordinate with product, marketing, and support teams to deliver secure, compliant solutions. Our current priorities include navigating evolving procurement and compliance requirements, supporting infrastructure modernization and secure development practices, and expanding GitLab’s presence across key public sector accounts. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $122,000 — $205,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: China / Shenzhen• Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: APAC / China / Hong Kong; China HK Workplace: OnSite Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: China / Dongguan Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: China / Zhuhai Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: China / Guangzhou Job Description Location: Hong Kong — Hybrid (factory floor, test lab and manufacturing sites; this is not a remote or desk-based role) Start date: ASAP Languages: Fluent English and fluent Mandarin are both mandatory Industry: HPC / GPU Server Manufacturing / Sovereign Cloud Infrastructure Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient alternative to traditional cloud providers. Unlike most cloud players, our client designs and manufactures its own HPC infrastructure end to end — chassis, boards and containerized units — and deploys it as the hardware layer of a vertically integrated AI cloud. The company is growing fast and is expanding its manufacturing and testing capability in Hong Kong. Professional Background: We're looking for a Server Engineer with hands-on GPU/HPC hardware experience who has tested and validated servers, not just operated them. You should be comfortable moving between the factory floor and the test lab, with a strong Linux background and real familiarity with firmware and GPU software stacks (CUDA, NCCL). You take ownership of quality: if a server ships, it is because you signed off on it. Startup or hyper-growth experience is a strong plus. Autonomy, rigor and problem-solving are essential. Your Responsibilities: - Own quality control across the client's manufacturing sites, on the factory floor. - Run the hardware test lab: board and system bring-up, validation and stress testing of new server builds. - Oversee the assembly and end-to-end testing of GPU servers before they are deployed into the client's sovereign cloud. - Define and maintain test procedures, acceptance criteria and QC checkpoints for chassis, boards and full systems. - Diagnose hardware, firmware and driver-level issues (BIOS/BMC, GPU firmware, PCIe, thermals, power) and drive root-cause analysis with the design and manufacturing teams. - Validate GPU compute and interconnect performance under Linux using CUDA, NCCL and related benchmarking tools. - Document failures, yields and test results, and feed findings back into hardware design and production processes. - Coordinate day to day with manufacturing partners and local suppliers in both English and Mandarin. What You Bring: - Proven hands-on experience testing and validating GPU/HPC servers (bring-up, burn-in, validation), not only using them. - Strong Linux skills at the system and hardware level. - Firmware knowledge: BIOS/UEFI, BMC/IPMI, GPU and NIC firmware, flashing and troubleshooting. - Working knowledge of the NVIDIA GPU stack: drivers, CUDA, NCCL, and how to benchmark and diagnose multi-GPU systems. - Solid understanding of server hardware: motherboards, PCIe topology, power, cooling, storage and networking components. - Experience with QC or manufacturing test processes in a hardware production environment. - Fluent English and fluent Mandarin (both non-negotiable). - Willingness to work on-site in Hong Kong, on the factory floor and in the lab. Nice To Have: - Experience with containerized or micro-datacenter deployments (power, thermal and environmental constraints). - Familiarity with high-speed interconnects (InfiniBand, RoCE, NVLink) and their validation. - Scripting skills (Bash/Python) to automate test sequences and reporting. - Exposure to hardware supply chains or contract manufacturers in Hong Kong / Southern China. - Cantonese. Why Join Us: Our client is one of the very few cloud companies that builds its own hardware from the board up. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers, and the servers you test and validate are the physical foundation of that platform. Expect real ownership from day one, a fast-paced environment that values autonomy and problem-solving, and the chance to build something that doesn't exist yet. Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.