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Location: United States, Remote Would you like to work on a new IP and new genre at teamLFG that combines amazing action feel with lighthearted and whimsical characters? Are you on a mission to create games that bond players together into deeply invested communities? As an Engineering Director at teamLFG, you will hire, build and direct a technology organization to deliver amazing never-seen-before game experiences. Your organization will build and utilize a wide range of technologies and workflows to develop, continuously deliver, and maintain a live production game service. As part of the project and studio leadership team, you will create and evolve a technology strategy that is aligned with project goals and initiatives and serves the needs of the game, its players, and employees. As part of a diverse company that prizes creativity and technical excellence, your servant leadership will inspire and motivate a cross-discipline team to help build a new franchise beloved by millions. We look for candidates who value joining a mission-focused team with a diverse set of backgrounds, experiences, interests, and viewpoints. RESPONSIBILITIES Collaborate with a cross-disciplinary project leadership team to develop and maintain a product technology strategy that is informed by product vision, technical costs, and long-term technology goals Leveraging the Unreal Engine and technology the team has built, direct the engineering organization to tackle challenging problems, find combinations of innovative technology with proven models, and build reliable solutions that deliver game experiences while sensibly managing technology risks Recruit, nurture, and retain an engineering organization (30+ engineers, both internal FTE and external codev) with the skills, capacity, and adaptability to navigate uncertainty and deliver on the changing needs of the project Manage multiple senior engineering leads, providing management support, technical guidance, constructive feedback, and career development coaching Work with production leadership to schedule, track, deliver, and close out game features and releases, anticipating and mitigating any critical risks encountered, technical or otherwise Communicate with PlayStation executives, directors, and technology teams, as needed REQUIRED SKILLS Experience managing an organization of 20+ engineers on AAA game engineering teams Experience working with and directing co-development engineering teams Experience with developing and running online games in a live service environment Ability to align with leadership and executive stakeholders, translate goals into strategic technology solutions with a thorough understanding of cost, efficiency, and quality tradeoffs, and then lead an organization to execute on a technology strategy Effectively communicate with and inspire fellow engineers by driving team alignment and buy-in on technology vision and architectural principles Ability to work with a team in a hybrid environment, leveraging real time chat communications and documentation across an entire game studio Ability to communicate with stakeholders of different business, technical, and non-technical backgrounds, to help align objectives and negotiate common goals Bachelors degree or equivalent NICE TO HAVE SKILLS Experience with development using the Unreal Engine Experience with development on a variety of platforms (PC, console) Experience with agile development methodologies 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. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $255,000 — $383,000 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 for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Location: Metn, Lebanon Staff Backend Engineer - L6 The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. At Toters, technology drives everything we do. Our product teams build features that simplify customers' lives, while our engineers create scalable solutions and optimize internal processes to deliver faster and more cost-effectively. If you thrive in a high-growth startup environment and want to help reshape how people shop across the Middle East, join us. Description As a Staff Backend Engineer, you will be responsible for shaping and delivering large-scale, cross-team systems and initiatives that significantly impact product reliability, performance, developer productivity, and business outcomes. You will mentor and grow multiple engineers, drive technical strategy within and across teams, resolve organization-level ambiguity, and proactively raise the bar for engineering excellence. You combine deep hands-on expertise with strong strategic thinking, owning complex domains end-to-end while influencing roadmaps, architecture standards, and team processes at a broader scale. Key Responsibilities Lead the design, architecture, and delivery of large, cross-system features, platforms, or infrastructure components that span multiple teams and quarters-long timelines. Drive technical and architectural decisions for entire domains or product areas, defining long-term strategy, surfacing major trade-offs, and aligning stakeholders across engineering, product, and operations. Own end-to-end system health: Establish observability, reliability practices, performance baselines, and incident response patterns that prevent recurring issues across services. Mentor and coach engineers, provide career guidance, technical pairing, code/design reviews. Identify and eliminate systemic bottlenecks in development velocity, testing, deployment, or onboarding; build shared tools, frameworks, patterns, or automation adopted team-wide or org-wide. Champion and evolve engineering standards, best practices, and conventions; influence adoption across multiple teams through clear reasoning, documentation, and leading by example. Increase engineering leverage by enabling other teams to move faster and more safely through better architecture, shared abstractions, technical guidance, and reusable patterns." Collaborate deeply with product, design, legal, and operations to challenge requirements, refine scopes, assess technical feasibility/risk, and ensure compliance (e.g., privacy, KYC). Lead architecture and design discussions at the team-of-teams level; write detailed specs, RFCs, and decision records that enable async alignment and reduce future rework. Act as a technical escalation point during major incidents, guiding resolution across domains and preventing recurrence through post-mortems and systemic fixes. Key Qualifications Bachelor's degree in Computer Science or equivalent practical experience. 8+ years of hands-on software engineering experience, in backend systems at scale (preferably including PHP/Laravel in high-traffic environments). Expert-level proficiency in backend development, OOP/SOLID/design patterns, microservices, event-driven architecture, and distributed systems principles. Proven track record designing and owning large-scale, performant, reliable backend systems (data modeling, complex schemas, PostgreSQL/MySQL optimization, Redis caching/queuing at scale). Deep experience with cloud infrastructure (AWS preferred), containerization, serverless, CI/CD pipelines, observability (monitoring, alerting, tracing), and incident management. Strong leadership & influence skills: mentoring multiple engineers, driving cross-team initiatives, resolving ambiguity at org level, and building consensus through clear communication. Excellent written & verbal English; ability to write precise technical documents, RFCs, and give constructive feedback across seniority levels. Demonstrated impact on business/product metrics through technical leadership (e.g., reduced latency, improved uptime, accelerated delivery velocity). Nice to Have Experience leading migrations, platform builds, or reliability programs in high-traffic e-commerce/delivery marketplaces. Familiarity with advanced scaling techniques (sharding, eventual consistency, CQRS, etc.). Prior work ensuring regulatory compliance (KYC, privacy, data protection) in collaboration with non-technical teams. Benefits Competitive compensation. Discounts on Toters orders. First-class medical insurance.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in London. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £260,000 — £630,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in San Francisco. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for Forward Deployed Engineers on our engineering team who want to work at the intersection of deep infrastructure work and direct customer impact. As an FDE, you’ll partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, sandboxing, and more, helping them design and ship production infrastructure on Modal’s platform. The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We’re looking for people with strong engineering fundamentals, deep curiosity across the infrastructure stack, and energy for working directly with customers on hard problems. WHAT YOU’LL WORK ON: - Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and deploy massive-scale production workloads on Modal - Lead technical discovery and architecture sessions with prospective and existing customers - Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal’s serverless platform - Collaborate with Modal’s product and sales teams, contributing to the platform as both an engineer and a product stakeholder - Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work - Conduct technical demos, experiments, and proofs of concept that make Modal’s infrastructure advantages tangible YOU MAY BE A FIT IF: - You have 3+ years of professional software engineering experience - You have hands-on experience with cloud platforms (AWS, GCP, Azure), including compute, storage, networking, and container orchestration (Docker, Kubernetes) - You’re familiar with distributed systems architecture, data pipelines, and Infrastructure as Code (Terraform, Pulumi, CloudFormation) - You’re a strong communicator who can go deep on systems architecture with an infrastructure team and clearly articulate tradeoffs to technical leadership - You have a genuine interest in working directly with customers: you find it energizing to understand someone else’s problem and help them solve it - You’re willing to work in person in New York City, San Francisco, or Stockholm NICE-TO-HAVE: - Experience leading large-scale migration efforts, open-source contributions, or side projects you’re proud of

Location: Home Based - Americas; Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring technical engineering manager to redefine the embedded Linux experience with the smallest, most secure, and most reliable operating system in the IoT market. This is an opportunity for a technical leader passionate about open source software, Linux, containers, security, and the developer experience, to shape the future of Linux from the smallest systems up to desktops. This challenging role demands a high degree of technical skill as well as high caliber for inspiring and driving people. Our mission is to allow everyone to build robust solutions in various fields including but not limited to IoT, automotive, and aviation using the next generation secure embedded Linux operating system in a simple solution. We define a reliable and secure set of device recovery mechanisms that enable device manufacturers to simplify and standardize the field operations for fleets of heterogeneous appliances. As an engineering manager, you’ll lead a team of strong software developers to design and implement Ubuntu Core system software on various CPU architectures, such as ARM, RISC-V, and X86.  You will meet stakeholders, prioritize requests, plan the roadmap and ensure the team can deliver their goals. You will have the opportunity to influence the culture, facilitate technical delivery, and work with your team on strategy and execution. The role entails Building and leading a distributed team of engineers through hiring, coaching, mentoring, feedback and career development Demonstrating sound engineering principles by directly contributing toward your team’s goals Coaching and mentoring team members with hands-on career development Effectively setting and managing expectations with other engineering teams, senior management, and external stakeholders Advocating and advancing modern, agile software development practices and helping develop and evangelize great engineering and organizational practices Contributing to a healthy, collaborative engineering culture in line with the company values Actively participating in the leadership team and collaborating with other leaders in the organisation What we are looking for in you Demonstrated competencies in embedded software development Strong skills in Golang, C++ and Shell A solid understanding of Linux and a modern GNU/Linux distribution, Debian or Ubuntu preferred Love for developing and growing people and have a track record of doing it Demonstrated ability of planning and executing to deliver high quality software in a timely manner Solid experience working in an agile development environment Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Professional written and spoken English with excellent presentation skills Nice-to-have skills Familiarity with an immutable Linux distribution, preferably Ubuntu Core Experience with multiple CPU architectures such as ARM, RISC-V Experience with Linux native containerization and security What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-REMOTE

Location: Dnipro, Ukraine; Kharkiv, Ukraine; Kyiv, Ukraine; Lviv, Ukraine; Odesa, Ukraine; Sambir, Ukraine Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Full Stack Developer with expertise in Node.js and React to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Design and develop our company website from the ground up using React and Node.js Create responsive, user-friendly interfaces that showcase our brand and services Implement backend API services and database architecture using Node.js Ensure code quality, performance optimization, and cross-browser compatibility Collaborate with design and business stakeholders to translate requirements into technical solutions Deploy and maintain website infrastructure in cloud environments Implement analytics, SEO best practices, and performance monitoring 3+ years experience with modern JavaScript/TypeScript development Strong proficiency with React , including hooks, context API, and state management Extensive experience with Node.js and Express.js for backend development Familiarity with database systems (MongoDB, PostgreSQL, or similar) Experience with RESTful API design and implementation Version control with Git and CI/CD pipeline knowledge Understanding of web security best practices and performance optimization Nice-to-Have Skills: Experience with Next.js or similar React frameworks Knowledge of cloud services (AWS, Azure, or GCP) Understanding of containerization (Docker, Kubernetes) UI/UX design sensibilities Experience with analytics implementation and SEO optimization Content management system integration Benefits: Competitive compensation package Flexible remote work environment Professional development opportunities Collaborative and innovative company culture Opportunity to shape the technical direction of a growing company Direct impact on company success and visibility

Location: Remote: United States; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Billing is mission-critical to Render’s success. As a Software Engineer, Billing you’ll design, implement, and maintain systems that ensure customers are billed accurately, reliably, and transparently as we scale. You will collaborate with Finance, Product, and Customer Experience teams to integrate third-party platforms, evolve our usage-based billing systems, and deliver the infrastructure that supports Render’s growing business model. This role requires technical depth, precision, and strong cross-functional collaboration. You’ll be the engineer others depend on to make sure usage data flows seamlessly, customers are charged correctly, and our systems are robust against complexity at scale. YOU WILL: - Build, operate, and improve Render’s usage-based billing systems. - Integrate with and maintain third-party billing systems (e.g., Orb, Metronome, or similar). - Collaborate closely with Finance, Product, and Support Engineering teams to ensure accurate, reliable billing and reporting. - Work with large-scale databases and data pipelines to capture, transform, and reconcile usage data. - Monitor, troubleshoot, and continuously improve billing reliability and performance. - Contribute to architectural decisions about how billing integrates with the broader Render platform. - Help shape internal processes, documentation, and best practices for billing operations. WE'RE LOOKING FOR: - 3+ years of professional experience building or operating usage-based billing systems. - Hands-on experience integrating and working with third-party billing systems such as Orb, Metronome, Stripe, or similar platforms. - Strong expertise in Go and production-grade databases (SQL or NoSQL). - Ability to work effectively across functions with Finance, Customer Experience, and Product teams. - Detail-oriented mindset with a strong sense of ownership and accountability in mission-critical systems. - Pragmatism and problem-solving skills to balance accuracy, scalability, and developer experience. NICE-TO-HAVES: - Experience working in a high-growth startup or scaling environment. - Familiarity with financial reconciliation and reporting processes. - Background in distributed systems or event-driven architectures. - Willingness to mentor others and help scale Render’s engineering culture. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Serbia POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($1.25 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast - and we need a product-marketing leader who can turn breakthrough technology into a category-defining narrative. The Impact You’ll Make As a Senior DevOps Engineer at Incode, you will be the backbone of our cloud infrastructure. You'll architect and evolve scalable, cloud-native systems that power secure and seamless identity experiences, leveraging Kubernetes (AWS EKS), Terraform, and AWS. Your work will accelerate deployments, fortify monitoring and observability, and ensure reliability at global scale. Partnering closely with our developers, you'll transform complex challenges into resilient, automated solutions that keep our applications highly available and performant. You will be a key enabler of speed, trust, and innovation - driving how Incode builds, delivers, and scales AI-driven identity verification for the world. On-call, up front: the DevOps team does not carry 24/7 on-call. A separate SRE team owns incident response. What You’ll Own & Drive Cloud-Native Infrastructure - Design, implement, and maintain Kubernetes-based environments (AWS EKS) that deliver scalability, resilience, and security. Infrastructure as Code (IaC) - Implement and manage Terraform-driven automation to ensure consistency, repeatability, and reliability across all client deployments. Production Reliability - Troubleshoot and resolve issues in live environments, minimizing downtime and ensuring seamless customer experiences. Monitoring & Logging - Build and optimize observability solutions with Prometheus, Loki, ELK, or similar stacks, tailoring systems to business and performance needs. GitOps & Delivery - Work with ArgoCD-based GitOps workflows as part of the deployment pipeline, alongside GitHub Actions CI/CD. Engineering Standards - Contribute to and refine internal best practices, methodologies, and automation frameworks that elevate the DevOps culture. Continuous Innovation - Stay on top of AWS and DevOps advancements, introducing new tools and approaches that enhance speed, efficiency, and scalability. The Qualities That Set You Apart Cloud-Native Builder - You bring proven expertise in designing, deploying, and managing applications on Kubernetes, with a deep understanding of its architecture and core concepts. Infrastructure as Code Champion - You’re highly skilled with Terraform, driving automation and consistency across complex environments. Pipeline Innovator - You have hands-on experience implementing and optimizing CI/CD workflows using GitHub Actions, accelerating delivery while ensuring quality. AWS Practitioner - You possess a strong command of core AWS services (EC2, VPC, S3, IAM, etc.) and know how to leverage them for scalable, secure solutions. Observability Builder - You've personally configured, tuned, or debugged a self-hosted monitoring stack (Grafana with Prometheus or VictoriaMetrics), not just consumed dashboards someone else built. Systems & Networking Thinker - You understand networking fundamentals - TCP/IP, DNS, HTTP/S - and apply them to build reliable, high-performance systems. Clear Communicator - You excel at translating technical solutions into language that resonates with both technical peers and non-technical stakeholders. Your Background 6+ years of proven experience as a DevOps Engineer or in a similar role. Hands-on experience deploying and managing Kubernetes-based applications, ideally on AWS EKS. Strong expertise in Terraform and infrastructure automation. Experience designing and implementing CI/CD pipelines with GitHub Actions. Solid understanding of AWS services including EC2, VPC, S3, IAM, and related offerings. Knowledge of networking protocols and best practices (TCP/IP, DNS, HTTP/S). Hands-on ownership of a Prometheus or VictoriaMetrics-based observability stack, including performance and scaling issues. Strong written and verbal communication skills, with the ability to present technical solutions effectively. Why Incode? Mission with Meaning - Shape how billions of people prove identity - safely, simply, and ethically. Rocket-Ship Growth - Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing - Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy - Operate like a founder with the resources of a unicorn. Global Impact - Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: London; Europe; New York; Paris; Toronto Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role overview: Code-generating LLMs and autonomous agents are revolutionizing how software is built and tasks are automated. At Cohere, we’re pushing the boundaries of what’s possible with these technologies for enterprises, and we’re looking for a senior member for the Agent Code team. You’ll be at the forefront of research and engineering, driving the development of cutting-edge code LLMs and agent systems that can interact with the digital world to solve complex tasks with minimal human oversight. This role is hands-on and research-driven. You’ll dive into the latest literature on code LLMs and agents, experiment with frontier models, and collaborate with a team of talented engineers and researchers to build scalable, production-ready solutions. At Cohere, we blend engineering and research seamlessly—everyone contributes to both, depending on their interests and organizational needs. We provide access to world-class compute resources, data, and talent to ensure you can do your best work. Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration. Key responsibilities: - Stay up-to-date with the latest research in code LLMs, agents, and related fields, implementing novel ideas into our systems. - Design and implement scalable strategies to train code models, and deploy agent frameworks for inference and sampling. You will be collaborating with the pretraining team, create SFT trajectories and work on existing and new RL algorithms - Hillclimb on existing benchmarks and design new ones that reflect the needs of our enterprise users - Lead experiments on our state-of-the-art compute infrastructure, pushing the boundaries of what’s possible with frontier LLMs. Qualifications: - A PhD in Computer Science, Machine Learning, or a related field, with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP). - Deep expertise in code LLMs and agent systems, with a strong understanding of the latest research and trends. We are looking for people who not only have worked with code models, but have actively contributed to their development - Hands-on experience with frontier LLMs and their applications in code generation or automation. - Strong software engineering skills, with proficiency in Python and PyTorch, TensorFlow, or similar frameworks. - Experience with distributed systems, cloud infrastructure, and scalable architectures. - A proactive, self-motivated mindset, with a passion for solving ambitious, open-ended problems. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Riyadh, Saudi Arabia Müller's Solutions is looking for a talented Senior Analyst specializing in Infrastructure Services, specifically in the areas of Storage and Backup, to join our dynamic team. This role is exclusively open to Saudi Nationals. As a Senior Analyst, you will play a vital role in managing and optimizing storage and backup solutions, ensuring data integrity, availability, and security across the organization. In this position, you will work closely with various teams to identify storage solutions that align with business needs and operational requirements. Your expertise will help enhance our data management strategies and lead to improved performance and efficiency across the organization. Key Responsibilities: Manage and maintain enterprise-level storage and backup systems, ensuring optimal performance and reliability. Implement and oversee data backup strategies, including regular testing and validation of backup systems. Analyze and recommend improvements to existing storage architectures to enhance data management and security. Collaborate with stakeholders to determine storage requirements and deliver effective solutions. Support incident resolution and troubleshooting for storage and backup-related issues. Monitor and report on storage usage trends, providing insights for capacity planning. Ensure compliance with data management policies and industry regulations. Requirements Bachelor’s degree in Computer Science, Information Technology, or a related field. At least 5 years of experience in storage and backup technologies. Strong knowledge of enterprise storage solutions, backup software, and disaster recovery practices. Familiarity with technologies such as SAN, NAS, and cloud storage. Ability to analyze complex data sets and provide actionable recommendations. Strong troubleshooting skills and attention to detail. Granting excellent communication and teamwork abilities. Relevant certifications (e.g., Dell EMC, NetApp, Veeam) will be an advantage. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: Cairo, Egypt; Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Madrid, Spain; Nicosia, Cyprus About Müller's Solutions: Müller's Solutions is a leading provider of cutting-edge SAP consulting services aimed at helping organizations harness the power of their data. We specialize in innovative, custom solutions designed to meet the unique needs of our clients, ensuring they can achieve their business goals effectively and efficiently. Job Overview: We are currently looking for a talented SAP Business Data Cloud Consultant to join our team on a remote basis. In this role, you will be responsible for implementing and managing SAP Business Data Cloud solutions, enabling clients to optimize their data management strategies. You will collaborate with business stakeholders to define data governance frameworks, data architecture, and data quality standards, ensuring the efficient use of data across the organization. Requirements Requirements: Bachelor's degree in Computer Science, Data Management, Information Systems, or a related field. 3 to 5 years of experience working with SAP Business Data Cloud or similar data management platforms. Proven experience in data governance, data quality management, and data modeling. Strong knowledge of SAP Business Technology Platform and integration with other SAP solutions. Experience with data transformation processes, ETL tools, and data visualization tools. Excellent understanding of cloud-based data architecture and best practices for data management. Ability to define and implement data governance frameworks to ensure compliance and data integrity. Strong analytical and problem-solving skills to assess business requirements and develop suitable solutions. Excellent communication skills to collaborate effectively with clients and stakeholders. Experience working in a remote environment, demonstrating self-motivation and accountability. Relevant SAP certifications (e.g., SAP Certified Technology Associate) are a plus. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Beijing, China Workplace: onsite ABOUT YOU We’re seeking an ambitious Team Lead with strong communication skills, strong work ethic, and the ability and desire to work in an exciting and demanding environment. You will help us to adopt our products to the China market.  ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. RESPONSIBILITIES Development Management:Setting goals and planning the development process for the team Estimating the time of the implementation of individual tasks Organizing and facilitating team rituals Creating product QA process Participating in testing and delivery processes Team Management:Creating a support team from a scratch (onboarding, retaining, etc.) Supporting the professional growth of employees through the accumulation of knowledge and experience Working with the strengths and weaknesses of team members Building a culture of collective responsibility for commitments Creating a culture of trust, creativity and mentorship in the team Creating and updating a competency map as well as working with personal development tracks for each employee Defining future technologies and development architecture with the team Participating in the discussion of architectural solutions in the department REQUIREMENTS 5+ years of frontend development experience Experience working in an Agile/Kanban environment Strong working knowledge of React and its ecosystem (state management, hooks, etc.) Solid understanding of backend components such as caches, networks, load balancers, and CDNs Ability to develop reliable, scalable, and maintainable frontend applications Fluent English (B2+ level) with strong communication skills Flexibility to thrive in a fast-paced environment Preferred Qualifications Hands-on experience with modern frontend frameworks such as React, Angular, or Vue Experience building and optimizing CI/CD pipelines Familiarity with SAFe (Scaled Agile Framework) or other large-scale agile frameworks Automation testing experience using Playwright or Cypress Exposure to key-value and document databases (e.g., Redis, MongoDB) Team leadership or management experience is a plus Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: London, UK Workplace: OnSite Recraft is a graphic design research lab building state-of-the-art image generation models and tools for designers, illustrators, marketers, and developers. Founded in 2022 and based in London, we build for commercial design standards: full creative control, style consistency, and native vector outputs, an API for teams who want to integrate that capability directly into their workflows, plus mobile app for those who prefer not to be distracted from the process without a computer. Over 3 million creators across 190+ countries use Recraft. Our mission is to help everyone who works with visuals get the job done, without lowering the bar on design. If you want to help set that standard, we'd like to hear from you. JOB DESCRIPTION We are looking for experienced Research Engineers to develop and optimise AI models, conduct cutting-edge research, and push the boundaries of AI and machine learning. Whether your expertise lies in AI model development, applied research, or production-level deployment, this role offers the opportunity to work at the forefront of generative AI innovation. KEY RESPONSIBILITIES - Develop and train large-scale generative models, pushing the boundaries of AI capabilities. - Design and run experiments to explore and refine model architectures, analyze results, and implement data-driven improvements. - Continuously innovate by developing and deploying new features that enhance user experiences. ‍ REQUIREMENTS - Proven experience in training large-scale generative models (e.g., image generation, audio synthesis, or large language models). - Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics. - Strong proficiency in PyTorch and familiarity with state-of-the-art neural network architectures. - Hands-on experience building end-to-end machine learning pipelines, including data collection and pre-processing, model training and evaluation, inference serving. - Strong software engineering skills, ability to design, implement and maintain high-quality code. - English: B2+ (Upper-Intermediate or above), written and spoken. ‍ WHAT WE OFFER - Competitive salary and equity. - Opportunities for professional growth and leadership. - A collaborative, research-driven environment. - The chance to work on cutting-edge AI projects that redefine creative workflows. - The opportunity to contribute to open-source AI research and publications. - Full-time, on-site role. - We’re able to offer Skilled Worker visa sponsorship in the UK for qualified candidates. ‍

Location: Riyadh, Saudi Arabia; Amman, Jordan; Cairo, Egypt; Al Khobar, Saudi Arabia; Jeddah, Saudi Arabia Müller's Solutions is on the lookout for a talented Data Architect to join our team. In this role, you will be responsible for designing and implementing comprehensive data architectures that align with the organization’s strategic goals. Your expertise will contribute to managing data effectively, ensuring high data quality, and supporting data analytics efforts across various departments. You will collaborate with cross-functional teams to drive the development of innovative data solutions that enhance business processes. Responsibilities: Design, implement, and manage complex data architectures that support business objectives. Develop and maintain data models, database schemas, and data flow diagrams. Collaborate with business analysts and stakeholders to gather data requirements and translate them into architectural specifications. Establish and enforce data governance policies and best practices. Conduct data quality assessments and implement solutions for data cleansing and accuracy. Oversee data integration efforts with various systems, ensuring seamless data flow. Work with IT teams to optimize database performance and storage solutions. Continuously evaluate and adopt new technologies to enhance data architecture. Provide mentorship and guidance to junior data professionals. Stay updated on industry trends and advancements in data architecture and management. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or related field. Proven experience as a Data Architect or a similar role. Strong expertise in data modeling and database design. Experience with data integration tools and ETL processes. Familiarity with data governance frameworks and best practices. Proficient in SQL, as well as experience with database management systems (e.g., Oracle, SQL Server, MySQL). Solid understanding of data security principles and practices. Analytical mindset with excellent problem-solving skills. Strong communication and interpersonal skills. Ability to work collaboratively in a team-oriented environment. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Software Engineer on the Training Infrastructure team, you'll architect and lead development of our training platform, supporting top tier research engineers and model developers. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor their workloads with high performance and reliability. You’ll own scheduling, storage, networking, reliability, and observability of technical systems in the training stack EXAMPLE INITIATIVES Take a look at what we’ve built so far: - Overview of the product so far https://www.baseten.co/blog/baseten-training-is-ga/#training-is-now-ga - Training docs overview https://docs.baseten.co/training/overview - Story of the Training product https://www.baseten.co/blog/a-q-a-from-inference-to-training-the-inside-story-of-baseten-s-newest-product/ - Research we've done https://www.baseten.co/resources/research/ RESPONSIBILITIES - Design and architect scalable infrastructure systems for our ML training platform (e.g. scheduling, storage, and networking) - Partner closely with developers and research engineers to translate complex training requirements into technical solutions - Design and architect a global training scheduler - Design and architect reinforcement learning systems and continuous learning pipelines - Drive long-term improvements to increase reliability of systems and velocity of development - Partner closely with SRE and Capacity teams to unlock state of the art training infrastructure - Make critical architectural decisions balancing performance with system reliability - Lead technical discussions and mentor junior engineers on infrastructure best practices - Contribute to long-term technical strategy and infrastructure roadmap REQUIREMENTS - Bachelor’s degree or higher in Computer Science or related field - 5+ years of experience - Proficiency in Go, with - Deep expertise with Kubernetes in production environments - Advanced understanding of distributed systems concepts and performance tuning - Proven experience designing observability systems - Experience with ML/AI workloads and MLOps platforms NICE TO HAVE - Experience with distributed storage systems - Python experience a plus - Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) - Experience with workload orchestration platforms like Temporal or Airflow - Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainer) and distributed training techniques (FSDP, DeepSpeed). - Experience developing AI products, tooling, or agents BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: São Paulo, Brazil; Buenos Aires, Argentina; Montevideo, Uruguay; Lima, Peru; Santiago, Chile; Asunción, Paraguay Workplace: remote At TechBiz Global , we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a skilled Java Backend Engineer to join one of our clients' teams . You will play a key role in building an Applicant Tracking System (ATS) integrated with REST APIs and FIX APIs. You will work closely with product managers, architects, and front-end engineers to design, develop, and optimize scalable backend services for high-performance applications. Key Responsibilities * Design and implement backend services and APIs in Java (Spring Boot / Jakarta EE) for ATS functionality. * Develop and maintain RESTful APIs for integrations with external systems and internal services. * Implement and optimize FIX protocol-based APIs for financial/trading system integrations. * Ensure low-latency, high-availability, and secure backend architecture. * Write clean, maintainable, and well-documented code following industry best practices. * Collaborate with DevOps to deploy and monitor services in production environments (AWS, GCP, Azure, or on-prem). * Optimize database performance (SQL/NoSQL) and design schemas for ATS workflows. * Conduct code reviews, unit testing, and integration testing to maintain code quality. * Troubleshoot and resolve performance, scalability, and reliability issues. * Stay updated on emerging technologies, protocols, and best practices in API development and backend engineering. Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 3–5 years of professional experience** in backend development with Java. Strong expertise in Spring Boot, Hibernate/JPA, and RESTful APIs. Hands-on experience with FIX protocol (QuickFIX/J or similar libraries). Solid knowledge of multithreading, concurrency, and low-latency system design. Experience with databases (PostgreSQL, MySQL, MongoDB, Redis, etc.). Proficiency in Git, CI/CD pipelines, Docker, Kubernetes. Strong understanding of security principles (OAuth2, JWT, SSL, encryption). Excellent problem-solving, debugging, and analytical skills. Nice to Have Experience with financial systems, trading platforms, or ATS solutions. Knowledge of messaging systems (Kafka, RabbitMQ, Redpanda, Chronicle Queue, etc.). Exposure to cloud services (AWS/GCP/Azure). Familiarity with microservices architecture and event-driven systems.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking a Principal Engineer with a deep expertise in autonomous AI agent architecture and deployment, to spearhead the design, development, and optimization of intelligent agent systems on our global crypto exchange platform. This is a senior role requiring a hands-on AI science background combined with strategic oversight, technical direction, and cross-functional collaboration. You will work at the cutting edge of AI and crypto, designing AI agents that can autonomously reason, act, and evolve in complex, real-time environments such as trading, security, compliance, and customer interaction. What You’ll Be Doing Lead the design, development, and lifecycle management of autonomous AI agents tailored to crypto exchange operations (e.g., customer assistant, trading bots, risk detection agents, fraud prevention agents, etc.). Architect multi-agent systems (MAS) and frameworks to support goal-directed, reasoning, planning, and reinforcement-learning-based agents. Collaborate with product, engineering, business, and operation teams to define agent roles and measurable KPIs. Drive experimentation, simulations, and continuous learning pipelines for agent performance optimization. Stay ahead of the curve on developments in AGI, LLM-integrated agents, and cognitive architectures; apply relevant innovations to production systems. Mentor and lead a team of AI scientists and engineers; help define the AI roadmap and research strategy. Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain. What We Look For In You PhD or Master's in Computer Science, AI, Machine Learning, Robotics or related field with at least 10 years of industry experience . Proven experience building and deploying autonomous AI agents in live environments. Ideal candidates will have: Designed multi-agent frameworks or agent ecosystems (e.g., AutoGPT, OpenAgents, LangGraph, LangFuse, Dify, Coze, etc.). Experience with goal-oriented agents, context engineering, memory management, tool use, and RL-based decision making. Developed agents for real-time decision-making, such as trading, gaming, customer support, or operations. Track record of delivering end-to-end AI systems in fast-paced, high-scale environments (preferably finance, crypto, or high-frequency domains). Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .