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Location: Seoul, Korea Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played video game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience. We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. That's where you come in. As a Senior Software Engineer on Riot’s Account and Identity Management team you’ll build and operate the persistent account and identity experiences that help players understand, manage, and control their Riot accounts after sign-up. You’ll work on capabilities such as account settings, Riot ID management, account linking, privacy and communication preferences, parental controls, account recovery, and self-service workflows. You will be serving players worldwide and help evolve regional solutions into reusable global capabilities. You’ll independently drive multi-month projects from discovery and technical design through launch and production support, collaborating with engineers, product partners, Player Support, and teams across Riot. You’ll write secure, reliable, well-tested services and APIs that your team will be accountable for. You will contribute to a strong engineering culture through design reviews, documentation, and mentorship. The ideal candidate brings 3–5 years of software engineering experience or equivalent expertise, experience with backend services and distributed systems, and strong ownership, communication, and technical judgment. Experience with Java or Kotlin, cloud infrastructure, identity systems, OAuth or OpenID Connect, and web security is a plus. Responsibilities: Develop and support our workflow services used by millions of players Support our suite of mission-critical Java, Kotlin, and Node services at a globally distributed scale Partner with product owners and technical leads to build and operate features end-to-end Provide high-quality software by writing unit, functional, and integration tests Invest in team’s complete ownership of our products by participating in on-call rotation Required Qualifications: Bachelor’s degree in Computer Science or a related field, or equivalent experience 5+ years of experience in a software engineering role (i.e. software, systems, architecture) Expertise in Java, Kotlin, and some familiarity with Node.js / Typescript. Experience with the following: microservices architecture, client/service application architecture, API architecture and development Desired Qualifications: Familiarity with “Infrastructure as Code” and tooling like Terraform, Docker and Jenkins Familiarity with Cloud Platform providers like AWS or GCP Familiarity with web security concepts (OWASP security models, cookies, CORS) Familiarity with client / full-stack development Expertise operating distributed services at high scale For this role, you'll find success through craft expertise, a collaborative spirit, and choices that focus on your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position. Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. Riot Games fosters a player and workplace experience that values teamwork embodied by the Summoner's Code and Community Code . Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of thriving together and our ongoing work to build the most inclusive company in Gaming . As a Rioter in Seoul, you’ll join a tight knit group of exceptionally bright minded individuals who share our prioritization of player experience, rejection of convention, and passion for gaming. Riot Games Korea is dedicated to creating tailored player experiences that show local players they aren’t lost in translation. Don’t forget to include a resume and cover letter. We receive a lot of applications, but we’ll notice a fun, well-written intro that shows us you take play seriously.

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. 本职位需在马来西亚吉隆坡（KL）办公室现场办公，欢迎愿意搬迁至吉隆坡的候选人投递 Responsibilities 1. System Reliability Ensure the stability, availability, and performance of the company's core business infrastructure across AWS and Tencent Cloud globally; accountable for production environment SLAs. Maintain stable operation and troubleshooting of the service mesh based on Kubernetes + Envoy/Istio architecture; drive gateway-layer governance standards. Define and implement SLO/SLI/Error Budget frameworks to continuously improve service reliability. Identify system bottlenecks and single points of failure; drive architectural improvements. 2. Automation & Engineering Efficiency Develop operations automation tools: capacity assessment, auto-scaling, self-healing, and change automation. Build SRE platforms: lead or contribute to building SRE platforms (capacity management, cost analysis, service health dashboards) and iterate continuously with the team. API integration: interface with monitoring systems, cloud platforms, and Kubernetes APIs to enable automated data workflows. Chaos Engineering: design and implement chaos engineering practices to proactively validate system fault tolerance. IaC & CI/CD: advance Infrastructure as Code (Terraform / Helm / GitOps) and CI/CD pipeline optimization to improve release safety and reduce manual operations. 3. Capacity Planning & Performance Optimization Establish and continuously iterate capacity assessment frameworks; develop scaling plans aligned with business growth projections. Identify performance bottlenecks; drive architectural optimization and cost efficiency (redundancy optimization, cost reduction). Participate in capacity estimation and scaling plans for major promotions and high-traffic events. Build cost-efficiency metrics; track and optimize per-unit business cost Requirements Development Skills Proficient in at least one programming language: Python / Go / Java / Node.js (Python or Go preferred). Able to independently deliver end-to-end features: from requirements analysis → design → coding → testing → deployment. Backend development experience: familiar with RESTful API design and databases (SQL/NoSQL). Strong scripting skills: able to quickly write Shell/Python scripts to solve day-to-day operations issues. SRE Fundamentals 3+ years of SRE/DevOps experience with large-scale distributed systems. Linux expertise: solid understanding of Linux internals, performance tuning, and troubleshooting. Container technologies: proficient in Docker and Kubernetes with production-level K8s management experience. Monitoring & alerting: experienced with Prometheus / Grafana / ELK; able to design monitoring metrics and alerting strategies. CI/CD: familiar with GitLab CI / Jenkins / ArgoCD with hands-on automated deployment experience. Soft Skills Data-driven mindset: make decisions backed by metrics and data. Problem-solving: quickly identify root causes and drive cross-team collaboration to resolve issues. Influence: able to evangelize SRE culture to development teams and drive reliability engineering practices (SLO, Postmortem, change management) across business teams. Ownership: take full accountability for the reliability of owned services; proactively identify and optimize issues. Fast learner: able to quickly ramp up on new technologies and tools. Nice to Have Experience building internal operations platforms from scratch, with full-stack development skills to independently deliver a complete platform. Familiarity with cloud-native technologies (Istio, Service Mesh, Operator pattern) and service governance (rate limiting, degradation, circuit breaking). Hands-on Chaos Engineering experience. Practical experience in capacity planning and cost optimization (FinOps). Operations experience in finance, trading systems, or high-concurrency scenarios, including capacity assurance for major promotions or high-traffic events. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE: As a Junior Salesforce Developer you are a hands-on member of the team. You keep the platform healthy by owning day-to-day support, you build improvements and features end to end with guidance from senior developers, and you grow into someone who can sit with a stakeholder, understand the problem and shape the right solution. This is a development role in both senses. You will write and ship code, and Halter will invest in your growth toward a certified, well-rounded Salesforce professional. WHAT YOUR DAY COULD LOOK LIKE: Keeping Salesforce running smoothly: - Triage support requests, troubleshoot issues and escalate with clear context. - Fix bugs across Apex, flows, permissions and integrations, and make safe, tested data and configuration changes. - Tackle recurring problems at the source and keep support guides up to date. Building improvements and new features: - Take small to medium changes from brief to release: scope, build, test and deploy. - Use flows and configuration where they fit, and Apex and LWC where code adds value. - Follow team standards for testing, code reviews and documentation. - Own defined parts of larger projects with guidance from senior developers. Working closely with the business: - Turn stakeholder requests into clear requirements and practical solutions. - Help run workshops, building confidence to lead smaller conversations. - Keep teams across Sales, RevOps, Finance, Launch and Customer Success informed on progress, blockers and trade-offs. Growing your Salesforce skills: - Earn Salesforce Administrator and Platform Developer I certifications in your first year, with exam fees and protected study time covered by Halter. - Build towards Platform App Builder and a specialisation aligned with our roadmap. - Put Trailhead learning into practice and spot opportunities in new Salesforce releases.   WHO WE'RE LOOKING FOR: - Foundations in Salesforce development: Apex, flows and the data model, with an appetite to go deeper. - Familiarity with a Git-based workflow: branches, pull requests and code review. - Care for quality: You test your work, ask when unsure, and prefer a root-cause fix over a patch. - Clear written and spoken communication, and comfort asking questions of colleagues who are not technical. - Curiosity about how the business works and how the platform serves it. Nice to have: - JavaScript or LWC, SOQL or SQL - Exposure to Revenue Cloud. - OmniStudio or integration tooling, and any existing Salesforce certification OUR BENEFITS: - Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan. - Healthy body, healthy mind. We’re partnered with Southern Cross Health Insurance to support your well-being. - Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth. - We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family. - Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave. OUR OFFICE FIRST APPROACH Humans are wired for connection. Being office first is a core pillar of our culture because in-person connections drive your growth, learning, impact, and relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful work together. We're office first, not office only. Working from the office is our default, but we flex when needed. We have a high-trust culture where everyone is trusted to do what's best for Halter. Our office vibe is special, the high energy and spectacular people make work enjoyable. Your growth and impact are unlimited here, coming from solving problems, innovating, and constantly learning from each other. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE: Paid social is where most farmers meet Halter for the first time. This role makes sure every one of those first impressions is a good one. You're the engine room of Halter's paid social. The Performance Marketing Manager sets the strategy and owns the number, but you keep the engine running as we grow. You build the campaigns, launch the tests, keep the accounts clean and tell the team what the data is saying. This is a hands-on role with a clear path to owning a channel. You'll learn how a high-tempo creative testing engine works from the inside, working alongside the Brand and Regional teams on what gets made and how it performs. You'll do it with AI as a core tool. Campaign builds, creative analysis, reporting and quality checks - we expect you to use AI to move faster, catch more and spend your time on the work that needs judgement. WHAT WE'RE LOOKING FOR: - We don't care where you've come from. What matters is that you've built and run paid campaigns hands-on and you sweat the detail. - You're precise. You'd rather catch a broken link or a wrong audience before launch than explain it after. - You're fast. You can take a brief to a live campaign the same day, without cutting corners. - You're comfortable with numbers. You can read a results table, spot what's off and explain it in plain language. - You're curious about why an ad works, not just whether it did. WHAT YOUR DAY COULD LOOK LIKE: - Building next week's creative tests in Meta for New Zealand dairy and United States beef - different audiences, different hooks, same clean structure. - Trafficking a new batch of video from the Brand team into the right campaigns, formats and placements. - Checking daily spend and pacing across markets and flagging an ad set that's overspending before it costs money. - Closing out a creative test and writing up the result so the whole team learns from it. - Chasing down why leads from one campaign aren't showing up properly in HubSpot. - Pulling together the weekly paid social readout: what moved, why, and what we should do next. YOU'LL CRUSH THIS ROLE IF YOU: - Get it right first time. Your campaigns launch clean, your naming is consistent and your tracking works. - Keep the testing engine moving. Tests go live when they're meant to, and close out with a clear answer. - Notice things. You spot the creative that's tiring, the audience that's saturating or the cost that's creeping, and you raise it early. - Want to grow. You're building towards owning a channel, and you're already thinking about what you'd test next. - See AI as a core work tool. You've already built it into how you work and you're faster because of it. OUR BENEFITS: - Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan. - Healthy body, healthy mind. We’re partnered with Southern Cross Health Insurance to support your well-being. - Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth. - We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family. - Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave. OUR OFFICE FIRST APPROACH Humans are wired for connection. Being office first is a core pillar of our culture because in-person connections drive your growth, learning, impact, and relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful work together. We're office first, not office only. Working from the office is our default, but we flex when needed. We have a high-trust culture where everyone is trusted to do what's best for Halter. Our office vibe is special, the high energy and spectacular people make work enjoyable. Your growth and impact are unlimited here, coming from solving problems, innovating, and constantly learning from each other. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: Екатеринбург Наша команда разрабатывает новые прогрессивные инструменты разработки: среду разработки и набор AI-помощников. Мы разрабатываем именно тот инструмент, в котором работают сами разработчики. Наша цель – вывести процесс разработки ПО на новый уровень эффективности. Если ты опытный Java разработчика, любишь решать сложные задачи и делать продукт для разработчиков - эта позиция для тебя. Обязанности ### Обязанности: * разработка нового и развитие существующего функционала ПО * код-ревью * рефакторинг/Оптимизация кода для сокращения потребляемых ресурсов, разрешение технического долга * взаимодействие с аналитиками, тестировщиками и группой сопровождения. Требования ### Требования: * опыт от 5 лет разработки систем с трудозатратами не менее 1000 чел-дней * участие в проектах с применением гибких методологий Scrum, Kanban. * опыт командной разработки с использованием Jira, BitBucket, Jenkins * высшее техническое образование * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. **Технические компетенции:** * Java Core / Java EE от 5- лет * Spring (Core / Web / Security / AOP/Test/Boot) * Hibernate/Jetty/Netty * REST / OpenApi * Swing или SWT * Junit, Spring Test * Jenkins, GitHub, Cradle, контейнеры. Условия **Мы предлагаем:** * гибридный формат работы * годовой бонус и ежегодный пересмотр зарплаты * расширенный ДМС с первого дня, страхование жизни, корпоративная пенсионная программа * статус аккредитованной ИТ-компании со всеми преимуществами  * гибкая скидка по ипотечному кредиту, равная 1/3 ключевой ставки Центрального банкам * подписка Прайм с возможностью шеринга (совместного использования) на трёх близких, скидки от партнеров и сервисов группы компании, скидки от партнеров и сервисов группы компаний * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * офис/спортзал/парковка – всё в одном месте (БЦ Даниловский Форт) * 90 дней удаленной работы из любого региона РФ * реферальная программа (бонус до 100 000 рублей).

Location: AU: Melbourne: (260 Burwood Rd); AU: Queensland Remote Worker; AU: New South Wales Remote Worker; AU: Sydney (45 Clarence St); AU: Brisbane (243 Edward St); AU: Victoria Remote Worker Workplace: Hybrid SENIOR ENGINEER - PLATFORM The role and its impact As a Senior Engineer in our Infrastructure team, you’ll help Xero engineers build and test software faster and with more confidence. You’ll design and build the systems that create test environments, and you’ll make sure test data is ready when teams need it. This work sits at the heart of how we ship software, and it helps set Xero up for AI transformation. You’ll work across complex platforms, including older legacy systems alongside modern technology. There will be trade-offs to weigh as you decide where the most value sits for engineering teams. Xero asks you to Go Bold in how you approach these problems, and to Go Fast without cutting corners. The team and how they connect Our Infrastructure team builds the platform foundations that Xero engineers rely on every day. Our engineers come from software, platform and infrastructure backgrounds, and we work closely with teams across Xero to understand their systems and find elegant solutions. We believe in Going Together, which means sharing knowledge openly and making sure everyone’s voice is heard. The team is currently working on / Initially, you will focus on: - Building support systems and tooling for test environments, so engineers can test changes without waiting on blockers. - Improving test data and enabling frictionless testing across engineering teams. - Working with our Golang services, alongside infrastructure built with Terraform on AWS, including Kubernetes, EC2 and Lambda. - Contributing to a longer-running initiative to shorten feedback loops and increase engineering productivity. Where and how you can work This is a permanent role, based in Melbourne, Sydney or Brisbane with a remote-first working culture. We have no set office days, so you’ll work with your manager and team to find a balance that suits how you do your best work. Once you’ve settled in, you’ll join our on-call rotation as part of supporting the systems we build. Here are some of the things we’re looking for, for this role: - Your background could be in software engineering that has moved into platform or DevOps, or in infrastructure work that understands how software is built. - Golang is our preferred language, though strong experience in Java or .NET is equally welcome. - Hands-on experience with Terraform, AWS and Kubernetes will help you hit the ground running. - A curious, problem-solving mindset and the ability to pick up unfamiliar systems quickly, including legacy ones, are key to how you’ll Go Further here. - Clear communication is second nature to you, whether you’re working in another team’s codebase or presenting to leadership. Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

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 Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry, computational chemistry, or a related field Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications Experience with reinforcement learning, large language models, or building evaluations and benchmarks Track record of supporting drug discovery programs alongside medicinal and synthetic chemists Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry Hands-on synthetic or medicinal chemistry experience at the bench Publications, patents, or open-source software demonstrating scientific impact The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Athens, Greece We are looking for a highly skilled Senior Data Platform Engineer to join our Data Platform team and play a key role in designing, building, and evolving the company’s data infrastructure. This is a hands-on engineering position focused on developing scalable data platforms, high-volume ingestion pipelines, and the foundational data systems that power analytics, product applications, AI workloads, and large-scale model execution. You will help architect our data lake, build reliable ingestion capabilities at scale, and shape the core infrastructure that supports the company’s future growth. This is an exciting opportunity to work with cutting-edge technologies and have a defining impact on the architecture and evolution of our data platform. Requirements: 5+ years of experience as a Data Platform/Infra Engineer Proven track record of building and operating scalable data infrastructure specifically within Data Lake architectures. Proven experience designing and operating large-scale data processing workloads on Kubernetes, including workload autoscaling with KEDA. Experience with Snowflake. Strong proficiency in Python and SQL. Hands-on experience with Infrastructure as Code, preferably Terraform. Experience with managing a data orchestration platform such as Airflow or Prefect Responsibilities: Build complex, high-volume batch and near-real-time ingestion services while helping evolve the platform’s streaming capabilities. Design and implement data solutions for all application requirements in a distributed microservices environment Develop and optimize large-scale data pipelines for batch and streaming use cases. Ensure data quality, compliance, and governance. Manage and optimize Kubernetes infrastructure, utilizing KEDA to dynamically scale resources for large-scale data processing workloads. Own the full lifecycle of our data stack using Terraform and Kubernetes, from provisioning to application-level frameworks. Provide technical guidance for the team, drive best practices around infrastructure, CI/CD, testing, and system design. Deep-dive into memory management and performance tuning to ensure our large-scale distributed systems are both cost-effective and lightning-fast. What we offer: Comfortable environment, challenging tasks and a long-term interesting project; Mobilization reservation available upon successful completion of the probation period (for Ukrainian colleagues). Covered 20 days of vacation; Working with top notch equipment; Bookkeeping by a professional accountant; Help and support from our caring HR-team;

Location: Philippines We are remaking the hero video on agency.dropzerodigital.com and we are doing it as a paid competition. How it works. 1. You apply with your portfolio, proof that the work is yours, and a short Loom. 2. We review every portfolio ourselves and shortlist about 7 editors. 3. Each shortlisted editor is paid 75 USD for a 15 second test, whether or not they win. 4. One winner makes the full 1 minute video and is paid 700 USD. 5. The full video includes 2 rounds of revisions. What you will make. The hero video for our agency site. Reference: our current reel https://dropzerodigital.com/wp-content/uploads/2024/12/240217_SIZZLE-REEL_DROP-ZERO-DIGITAL-2024-MP4-1.mp4 . Shortlisted editors get the brief and assets for the test. What this is. Freelance, paid project work. It is not employment. Fees. 75 USD per test (shortlisted editors only). 700 USD for the full video (winner only). Requirements Based in the Philippines, or within 5 hours of Philippine Time (UTC+8). A pure video editor: editing is your main craft, not a side skill next to design or content. A portfolio of paid, published edits. Proof of authorship: a 20 to 30 second screen recording of your editing timeline for at least 2 portfolio projects. A compliance Loom, up to 3 minutes, in English: rate our current hero video on agency.dropzerodigital.com out of 10 and say what you would change. Say your full name and the country you live in at the start. Fluent written and spoken English. Only complete applications are reviewed. Benefits 75 USD for the 15 second test, paid to every shortlisted editor whether or not they win. 700 USD for the full 1 minute video, paid to the winner, with 2 rounds of revisions. Paid for project delivery. This is freelance work, not employment.

Location: Indonesia We are remaking the hero video on agency.dropzerodigital.com and we are doing it as a paid competition. How it works. 1. You apply with your portfolio, proof that the work is yours, and a short Loom. 2. We review every portfolio ourselves and shortlist about 7 editors. 3. Each shortlisted editor is paid 75 USD for a 15 second test, whether or not they win. 4. One winner makes the full 1 minute video and is paid 700 USD. 5. The full video includes 2 rounds of revisions. What you will make. The hero video for our agency site. Reference: our current reel https://dropzerodigital.com/wp-content/uploads/2024/12/240217_SIZZLE-REEL_DROP-ZERO-DIGITAL-2024-MP4-1.mp4 . Shortlisted editors get the brief and assets for the test. What this is. Freelance, paid project work. It is not employment. Fees. 75 USD per test (shortlisted editors only). 700 USD for the full video (winner only). Requirements Based in Indonesia, or within 5 hours of Western Indonesia Time (UTC+7). A pure video editor: editing is your main craft, not a side skill next to design or content. A portfolio of paid, published edits. Proof of authorship: a 20 to 30 second screen recording of your editing timeline for at least 2 portfolio projects. A compliance Loom, up to 3 minutes, in English: rate our current hero video on agency.dropzerodigital.com out of 10 and say what you would change. Say your full name and the country you live in at the start. Fluent written and spoken English. Only complete applications are reviewed. Benefits 75 USD for the 15 second test, paid to every shortlisted editor whether or not they win. 700 USD for the full 1 minute video, paid to the winner, with 2 rounds of revisions. Paid for project delivery. This is freelance work, not employment.

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Разрабатывать и поддерживать продукт на React + TypeScript. Оптимизировать производительность и повышать стабильность приложения.

Разрабатывать фичи на React 19 и TypeScript в режиме strict. Уверенный опыт разработки на React: хуки, контекст, мемоизация, эффекты, управление перерисовками.

Location: Los Angeles, United States; Warsaw, Poland; Tbilisi, Georgia; Batumi, Georgia; Buenos Aires, Argentina; Tallinn, Estonia Think You Can Make AI Notice Us? Prove It. At LBC Mortgage, we’re looking for a curious, ambitious, and unconventional thinker who is ready to experiment, challenge assumptions, test new ideas, and help make our brand visible across the rapidly evolving world of AI platforms. The way people discover businesses is changing. More and more people are turning to AI assistants like ChatGPT, Gemini, and Perplexity to ask questions, compare services, and decide which companies deserve their attention. We want LBC Mortgage to be part of those conversations. Not just on Google. Not just on social media. We want our brand to be discoverable, recognizable, and accurately represented wherever people search for answers, recommendations, and solutions. Your mission is simple: help make LBC Mortgage impossible to overlook. We’re not looking for someone who needs ten years of experience, a complicated strategy document, or permission to try every new idea. We’re looking for someone who is genuinely interested in how AI works, enjoys exploring new tools, and isn't afraid to test an approach that nobody on the team has tried before. You don't need to know everything on day one. You need to be willing to learn, think independently, take initiative, and turn ideas into action. This is not about taking reckless risks or doing things without a plan. It’s about having the confidence to experiment intelligently, measure results, and improve continuously instead of assuming that yesterday’s methods will always work tomorrow. You will help establish and maintain our presence across relevant business directories, search engines, review websites, social platforms, online communities, and emerging AI-driven discovery channels. You’ll work on making sure our business information is accurate and consistent, our profiles are complete, and our content clearly communicates who we are and what we do. You’ll also explore how brands are mentioned in AI-generated answers, identify opportunities to strengthen our online presence, and investigate what helps AI systems discover and understand reliable information about businesses. From improving business listings to researching customer questions, contributing appropriately to relevant communities, and testing new content strategies, your work will help us understand how to become more visible in a world increasingly shaped by AI. You should be comfortable following a strategy while also recognizing opportunities to improve it. If you notice something that could work better, speak up. If you discover a promising platform, explore it. If you have an idea worth testing, explain your reasoning and help us evaluate the results. We value people who combine initiative with accountability and creativity with attention to detail. Most importantly, we want someone who sees this role as an opportunity rather than a checklist. Someone who wants to help shape how a brand competes in a changing digital landscape. Someone who understands that there may not always be a ready-made answer and is willing to find one. We’re not promising that every experiment will succeed. We’re offering the opportunity to explore, test, learn, and contribute to something that is evolving in real time. You’ll have a clear objective, the freedom to investigate different approaches, and the responsibility to turn what you learn into meaningful progress. Don’t just tell us you’re different. Show us how you think, what you’re curious about, and what you would try first. Ready to make AI notice us? Apply.

Location: Amsterdam, Netherlands We are looking for a Senior Game Designer who combines systems design and economy design expertise with LiveOps and product strategy. You will shape the core progression and monetization systems of our free‑to‑play titles while owning an events and content roadmap that boosts retention and revenue. You’ll blend creative design with data‑driven decision‑making, transforming KPIs and player insights into clear, high‑impact updates. You’ll be a key force in an agile, multidisciplinary and creatively charged development team. About CoolGames At CoolGames, we’re proud to be a leading international HTML5 game studio, working with some of the world’s biggest ‘Big Tech’ game platforms, such as Netflix, Discord, Facebook and Microsoft Play. We also work with famous games IP such as Battleship, Angry Birds and Monopoly. CoolGames is part of Keesing, the world’s largest Braintainment company. Keesing is a financially strong publisher of engaging sudokus, crosswords and many other puzzles & games with a presence in over 20 countries and headquartered in The Netherlands. With the CoolGames HQ in Amsterdam, supported by our global remote teams, we offer market-competitive salaries, the chance to contribute to successful casual games that are played by millions and work directly with some of the biggest brands in the world. We believe in creativity, collaboration and delivering world-class gaming experiences, while giving you the choice to either join our Amsterdam studio or become part of our remote teams. If you want to grow your career in a profitable, internationally recognized company, work closely with world-famous partners and be part of a highly professional international team,CoolGames is the right place for you. About the role As a Senior Game Designer, you will be responsible for the entire systems and LiveOps lifecycle. This includes designing new casual free-to-play games for desktop, tablets, and mobile, from initial concept through all stages of the product lifecycle. You will design and balance core loops, progression, rewards and game economy, then extend them through LiveOps: in‑game events, content drops, experiments and monetization changes that address KPI opportunities, lift retention and grow both IAP and ad revenue. Armed with analytical tools, you will translate insights into actions, weigh impact versus effort, and continuously iterate to keep our games fresh and competitive. Working side‑by‑side with developers, artists, QA and marketing in an agile environment, you will articulate strategy and results to stakeholders at every level, ensuring smooth execution. At the same time you will coach and inspire other game designers, fostering a culture of creativity, data‑driven decision‑making and constant improvement across the team. Your responsibilities will include: Define and maintain the systems design for core loops, progression, rewards and economy (sources/sinks, pacing, difficulty), ensuring they align with player needs and business goals Build and evolve a LiveOps strategy and content roadmap (events, seasonal mechanics, IAP offers and ad-driven promos) that drives engagement and revenue Design and implement in-game experiments (A/B tests, event variations) and use the results to inform design decisions; iterate so each update measurably improves retention and monetization Specify clear, developer-ready design documents and balancing sheets; be the single source of truth for feature scope, rationale and success metrics Stay on top of casual F2P market trends and top-grossing competitors; pitch new content, meta features or mechanics (e.g., collections, passes, streaks, time-limited challenges) that fit our audience Collaborate within a multidisciplinary team (design, engineering, art, QA, marketing) to deliver features and LiveOps smoothly; participate in agile rituals to align with development cycles and product goals Present product vision, LiveOps plans and post-event analyses; communicate the “why” behind your strategy with data and research to secure buy-in from internal stakeholders and external partners Mentor other game designers and raise team craft through feedback and reviews Requirements About You 5+ years of professional experience as a Senior Game Designer within the mobile or web F2P industry, with hands-on systems/economy and LiveOps experience Deep familiarity with top-grossing casual games and F2P mechanics; you know what keeps players returning and spending, and can anticipate shifts in player behavior or monetization patterns Ability to translate complex data and KPIs into actionable design changes and clear roadmaps, balancing player enjoyment with business objectives Strong written and verbal communication in English; concise specs and clear presentation skills Proven experience in cross-functional teams; you integrate creative, technical and commercial perspectives into a cohesive product direction Experience in mentorship or leadership, fostering designer growth, and promoting a positive, solution-oriented approach. Bonus: game economy design specialization; puzzle/casual background; HTML5/web distribution experience Benefits What we can offer you: An international team of 80+ professionals from almost 20 different countries; Work closely with some of the biggest (upcoming) game platforms in the world on high-quality casual games that are played by millions of gamers; Competitive remuneration; A flexible remote working environment; Company events in HQ Amsterdam Office; A very open, informal and international company culture where everyone can make a difference.

Location: Amsterdam, Netherlands We are looking for an experienced Economy & Balancing Game Designer who can design, model, and tune the economies, progression, and reward systems of casual HTML5 games played by millions of people worldwide. As part of one of our multidisciplinary game development teams, you will design, model, balance, test, and iterate game economies from early concept through live operations. You understand that a great casual game economy is not just “generous” or “tight”: it paces progression, makes every reward feel earned, gives every purchase a clear purpose, and stays healthy for years. About CoolGames At CoolGames, we’re proud to be a leading international HTML5 game studio, working with some of the world’s biggest ‘Big Tech’ game platforms, such as Netflix, Discord, Facebook and Microsoft Play. We also work with famous games IP such as Battleship, Angry Birds and Monopoly. CoolGames is part of Keesing, the world’s largest Braintainment company. Keesing is a financially strong publisher of engaging sudokus, crosswords and many other puzzles & games with a presence in over 20 countries headquartered in The Netherlands. With the CoolGames HQ in Amsterdam, supported by our global remote teams, we offer market-competitive salaries, the chance to contribute to successful casual games that are played by millions and work directly with some of the biggest brands in the world. We believe in creativity, collaboration and delivering world-class gaming experiences, while giving you the choice to either join our Amsterdam studio or become part of our remote teams. If you want to grow your career in a profitable, internationally recognized company, work closely with world-famous partners and be part of a highly professional international team, CoolGames is the right place for you. About the role As an Economy & Balancing Game Designer at CoolGames, you take ownership of the economies inside our casual games: the sources, sinks, progression, and reward systems that decide how players earn, spend, and advance. You will design systems that are fun, fair, understandable, and commercially effective. And you own the outcome: not just the analysis behind the numbers, but the retention and revenue they produce. You will be part of a multidisciplinary agile team. Together, you will work on new titles, improve existing live games, and help shape the models, tools, and processes that make good economy design scalable across our portfolio. Because our games run on a range of platforms with different monetization models, you know how to make an economy work whether it is driven by in-app purchases, ads, or a subscription platform. On new games you are involved from the very first design sessions, so that the economy, its sinks, and its progression are designed in from the start rather than balanced after the game has been built. On live games you take the economy apart per title, in enough depth to say what a change will do before it ships, and you model and simulate that change rather than shipping it and reading the result afterwards. You are comfortable working both creatively and analytically. You can feel when a progression curve or a reward loop is right, but you also know how to validate that instinct through models, simulations, A/B tests, and player data. About You You are proactive and thrive on taking ownership and responsibility. You care deeply about how players feel when they play, and you know that a healthy economy and a great player experience are the same goal, not a trade-off. You know how to design systems that motivate without manipulating, monetize without frustrating, and reward without devaluing progress. If you are: An experienced Economy, Systems or Balancing Game Designer Ready to work on long-lasting casual titles, and to move between them when needed A strong believer in teamwork Are not afraid of innovation and learning new tools on the go Then you are on the right track to be a great match with Coolgames. Responsibilities Design and balance the economy, progression, and reward systems of our casual games, from the first design sessions of a new title through live operations Own the revenue outcome of the economies you design Build and maintain the economy models, balancing sheets, and simulations for each title, in enough depth to say what a change will do before it ships. Use player data and A/B tests to find friction points, progression bottlenecks, and monetization opportunities, and to show, with data, where balancing proposals from game and level designers will take retention and revenue. Design motivation loops and a cohesive ecosystem of LiveOps events that work together rather than compete for player attention Communicate design rationale, trade-offs, and recommendations clearly to the team and the studio, and take ownership of a title’s economy when moving between projects. Research how comparable games in our genres structure, pace, and price their economies, and keep that as the reference we balance and price against. Requirements Requirements 5+ years designing, balancing, and operating the economies of successful, released free-to-play games on mobile and/or HTML5, including casual or puzzle titles. Comfortable being accountable for a title’s KPIs: you make and defend decisions Advanced spreadsheet and modeling skills: balancing, simulation, and forecasting models, and fluent use of AI tools to build and analyze them faster. Strong analytical mindset: you design and evaluate data, translating it into concrete design changes. Deep understanding of player motivation, retention mechanics, LiveOps, and monetization design, and the empathy to feel what our casual audience will and won’t accept. Independent and proactive, quick to get up to speed on a new game and its audience, with excellent English and experience working in remote, multidisciplinary teams. A habit of benchmarking: you know the economies of the leading games in our genres well enough to say where ours sits against them. Benefits What we can offer you An international team of 80+ professionals from almost 20 different countries; Work closely with some of the biggest upcoming game platforms in the world on high-quality casual games that are played by millions of players; Competitive remuneration; A flexible remote working environment; A very open, informal, and international company culture where everyone can make a difference. Apply Do you love building game economies that players find fair, motivating, and worth investing in, and that stay healthy for years? Then we would love to hear from you. Please include your CV and, where possible, a portfolio, economy models or balancing sheets, shipped games, design documents, or examples that show how you think about progression, monetization, and player experience.