Вакансии

Location: Poland; Czechia; Bulgaria; Croatia; Romania; France 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 Our client is a Big4 Consultancy group that works with leading financial institutions on AI-driven transformation, automation, advanced analytics, and financial crime prevention . Their are building a production-grade AI-assisted KYC / Customer Due Diligence platform for an international insurance environment. We are looking for an experienced Data / Integration Engineer to own the data flowing into and out of the platform. The role focuses on Databricks, Python / PySpark, SQL, data modelling, data contracts, APIs, legacy-system integration, and data quality , replacing mocked sources with reliable production integrations. CONTRACT: B2B or B2C contract COMMITMENT: Full-time, 3-4 months contract with possibility of extension or getting on new projects LOCATIONS: Remote, EU-based candidates START: ASAP PROCESS: Initial qualification followed by client interviews Responsibilities Inventory and map all internal and external data sources. Define data contracts and canonical data structures for client, screening, evidence, audit, and reporting data. Build connectors to external screening providers, public registers, and local data sources. Connect Databricks with SQL Server, legacy databases, and core enterprise systems. Support API, database-link, batch, file, and SFTP-based integrations. Design and maintain data models supporting evidence, audit trails, and reporting. Implement data quality checks, contract tests, and retention rules . Validate incoming and outgoing data flows across production services. Support integration troubleshooting and production-readiness activities. Contribute to a business-critical platform where data accuracy and reliability are essential. Requirements Strong hands-on experience with Databricks , including Delta Lake and Unity Catalog. Strong experience with Python / PySpark . Advanced SQL skills. Experience integrating with SQL Server and legacy databases . Strong experience with REST APIs, DB links, batch processing, files, and SFTP integrations . Experience with data modelling and data-contract design . Experience implementing data-quality validation and integration testing. Fluent English and ability to work remotely within the EU.

Location: Remote USA Workplace: remote ABOUT YOU The Xsolla Offerwall puts rewarded offers in front of players inside the games and apps of our publishers. A player opens the wall, picks an offer, completes it, and earns in-game currency. Whether they do depends on what they see: the offer card, the creative, the video, the playable, and the reward moment. Those units come from several places. Some are native offers we render ourselves. Some arrive as VAST video, HTML or MRAID creatives, or OpenRTB Native assets from demand partners. Each format has its own rules, and each one has to look right in a publisher's game, on a phone, without breaking what the advertiser sent. You'll own how offerwall ads look and perform. You'll decide which formats we support and how they render. You'll design what the player sees, and turn that into specs engineers can build from. You'll measure whether a change made players more likely to engage, and you'll use AI to make better creative faster than a manual process allows. 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: Ad experience and creative Own the look and feel of every ad unit in the offerwall: offer cards, detail pages, video, playables, interstitials, and the reward flow. Set creative standards for advertisers and publishers: layouts, asset specs, safe areas, aspect ratios, and branding rules. Balance three groups who want different things: players want a clean experience, publishers want it to match their game, and advertisers want their brand shown properly. oRTB formats and rendering Define how we support VAST, HTML and MRAID , and OpenRTB Native inside the offerwall, across Web, iOS, Android, and Unity. Write the requirements for format support: which VAST events we track, which MRAID calls we allow, and how Native assets map into our own templates. Work with Engineering on creative QA and rejection rules, so broken or non-compliant creatives get caught before a player sees them. Design to engineering Turn ideas into Figma designs and prototypes that engineers can build without guessing. Write PRDs and acceptance criteria that cover states, edge cases, and device differences, not just the happy path. Work with our designers on the offerwall's design system, and keep it consistent across publishers and platforms. Experimentation and performance Run A/B tests on layouts, creative treatments, and formats, and read the results yourself. Track the metrics that show whether the ad experience works: CTR, video completion rate, offer start and completion rates, IPM , and eCPM. Turn what you learn into a prioritized roadmap, and explain the tradeoffs to Engineering, Demand, and leadership. AI in creative and workflow Find where AI can improve ad units: generating creative variants, adapting assets to new formats, auto-cropping and localization, and checking creative quality. Use AI tools in your own work: prototyping, writing specs, analyzing test results, and getting from idea to something testable faster. Cross-functional work Work with Engineering, Design, Demand, Publisher Success, and Data every week. Give the Demand team clear creative guidelines they can share with advertisers. Bring what publishers and advertisers say back into the roadmap, in a form engineers can act on. Qualifications & Skills: Around 5 years of product management experience, with a significant part of it in AdTech. Hands-on experience owning ad design or ad experience: ad units, creative formats, or how ads render in an app or game. Working knowledge of oRTB ad formats. You know how VAST, HTML and MRAID , and OpenRTB Native creatives work, what breaks them, and what the specs allow. Comfortable with data. You can design an A/B test, read the result, and write SQL or use a BI tool to answer your own questions. You write clear specs. Engineers should be able to build from what you write without coming back to ask what you meant. Good visual judgment. You can tell why one layout works and another doesn't, and explain it in terms of player behavior. Clear communication with engineers, designers, and commercial teams. Based in Los Angeles or elsewhere in the US, and able to work across US time zones. Nice to Have: Experience working with AI. This one matters a lot to us. Show us how you've used AI tools such as Claude, Midjourney, or Figma AI to make ads, prototype products, or get more done. Come ready to show a real example. Experience with offerwalls, rewarded ads, or rewarded video. Experience designing in Figma: building prototypes and engineering-ready designs yourself, not just reviewing someone else's. Experience in mobile gaming or app monetization. Familiarity with ad SDKs, mediation, and how they render third-party creatives. What Your Week Looks Like: A demand partner starts sending VAST wrappers that time out on Android. You look at the VAST chain, work out where it's slow, and agree a timeout and fallback rule with Engineering. Offer completion rates on one publisher are 30% below the network average. You compare their wall against others, find the reward value is hidden below the fold on smaller phones, and mock up a fix in Figma that afternoon. An advertiser wants to run a playable in the offerwall. You check what their MRAID creative needs, decide what we'll support, and write the spec. You use an AI image model to generate 20 variants of an offer card's hero image, test four of them, and share the winner and the lift with the team. Engineering asks how Native title and icon assets should behave when an advertiser sends nothing. You answer the same day, with the rule written into the spec. How Success Is Measured: Offerwall engagement improves: higher CTR, offer start rate, and completion rate, backed by test results rather than claims. The formats we support render correctly across platforms, and creative rejections and rendering bugs go down. Engineering builds from your specs and designs without long back-and-forth. Advertisers and publishers have clear creative guidelines, and the Demand team uses them. AI is part of how the team makes and tests creative, not a side experiment. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Product Manager, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements     Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Ищем опытного Motion-дизайнера для создания и тестирования игровых, рекламных креативов. • Создавать рекламные видеокреативы в Unity или Unreal Engine.

Location: Brighton, United Kingdom We’re FuturLab, the award-winning game studio behind PowerWash Simulator, the Velocity series, Peaky Blinders Mastermind, and many more awesome games. We’re looking for a Game Designer to join the team! As Game Designer you will be assisting in every aspect of game design, from concept development and context setting to level design and reward balancing. You will be working closely with members of various disciplines within the team to ensure high gameplay standards are achieved across the game. This role is suited for a highly motivated and talented problem solver with design experience in game development, a strong understanding of game design principles, and a genuine interest in making unorthodox gameplay experiences. Role and Responsibilities: Write clear and concise game design documents. Participate in all aspects of game design including brainstorming, prototyping, tuning, gameplay pacing, level design, user-experience and difficulty curve balancing. Iterate upon and provide feedback to game content, ensuring the best player experience. Analyse and improve upon existing content, game mechanics and features based on playability and project goals. Research, develop and design new game content and features. Work to ensure that our games are engaging and fun. Requirements Over a year employed as a game designer working on at least one commercial game. An understanding and working knowledge of the Unity game engine. Ability to passionately pursue creative ideals without being precious. Able and keen to seek feedback and criticism from any source. Capacity to iterate many times to improve existing content and features. Ability to objectively debate the virtues of particular game features and ideas. General understanding of game design and development. Ability to work both individually and in a small team. Excellent communication skills with a friendly and positive demeanour. Self-motivating and diligent. Benefits Competitive salary (dependent on experience) Performance related bonus. Monday to Friday 9am - 5pm (No weekends, No overtime, No Crunch!) 27 days of paid annual leave, including 21 standard days, 3 days over the Christmas closure, 2 discretionary 'Duvet Days,' 1 day to celebrate your birthday, plus all 8 UK bank holidays and an extra day off for our very own FuturLab bank holiday! Opportunities to attend and speak at gaming events/conferences. Free MS Game Pass or PS+ subscription Free game codes, game swag and merchandise. Bike2work scheme. Enhanced Maternity - 9 months full pay (statutory benefit topped up by FL) Paternity leave - 8 weeks full pay Enhanced Sick Pay. Enhanced Pension. Remote therapy service through Spill -8 x 50-minute virtual sessions over 6 months whenever you need them. Unlimited ‘ask a therapist’ text questions. Eye tests & standard glasses for display work. Amazing offices with a great culture. FuturLab foster an inclusive and welcoming culture, check out the Life at FuturLab page ( www.futurlab.co.uk/life-at-futurlab ) for reasons why you’d love working here! If you have the skills, experience and passion for the role then please get in touch as we’d love to hear from you! Apply here Producer (Games) - UK Only (Remote/Hybrid - Brighton) - FuturLab Ltd with a cover letter. Equal Opportunities We welcome applicants from all backgrounds and are committed to making reasonable adjustments to the recruitment process as required, please add any adjustment requests to your application. Candidates without a valid UK work Visa cannot be considered.

Location: CA - Canada Scopely is looking for a Senior QA Manager, Automation & Tooling to join our team supporting a soon-to-be-announced AAA mobile game title. This role can be remote in the US and Canada, or hybrid in Culver City. You will lead the automation strategy for a live game, building the people, processes, frameworks, and tooling required to scale quality across frequent releases and a large, active player base. You will partner closely with Engineering, QA, Live Operations, and other disciplines to establish a development culture where automation is a shared responsibility and a core component of product quality. At Scopely, we create and operate games played by millions of people around the world. This role is an opportunity to shape how quality engineering evolves from the ground up for a high-scale live mobile game. What You Will Do Define and execute the QA automation strategy for a live mobile game, including scalable frameworks, tooling, standards, and quality gates. Build and lead an automation team from the ground up, including hiring, team structure, processes, mentorship, and career development. Design, build, and implement automated testing across UI, API, integration, regression, end-to-end, mobile, and live-operations workflows. Evaluate automation approaches, frameworks, platforms, and traditional or AI-assisted tools based on coverage, maintainability, speed, and value. Establish automation standards, coding practices, test architecture, reporting, observability, and quality gates that can scale with the game and organization. Partner with Engineering and QA to prioritize automation, improve testability, integrate testing into CI/CD, and establish shared ownership of automated tests, ensuring automation is part of the definition of done for every feature. Provide hands-on technical leadership through framework design, prototypes, code reviews, automation implementation, and test-script development. Mentor manual testers as they develop coding and automation skills, while defining metrics for coverage, stability, flakiness, execution time, and defect detection. Communicate quality risks, automation progress, and investment needs while partnering with Product, Live Operations, Marketing, Customer Support, Localization, and external development teams. Champion quality and release excellence across the organization while ensuring automation supports—not replaces—strong exploratory and risk-based testing. What We’re Looking For 8+ years of experience in QA, test automation, or quality engineering, including 4+ years leading or building automation teams. Proven experience creating automation strategies, frameworks, tooling, and infrastructure for complex products, ideally from the ground up. Experience evaluating automation approaches and tools, integrating automated tests into CI/CD pipelines, and scaling quality practices for frequent live releases. Hands-on programming experience in one or more languages; C# preferred. Strong understanding of testing methodologies, automation architecture, coding practices, testability, and software development lifecycles. Experience mentoring manual testers in coding, automation, and automated test-script development. Proven ability to align Engineering and QA around automation, shared quality ownership, and continuous improvement. Experience with mobile testing and familiarity with traditional and AI-assisted testing tools; game-testing experience preferred. Experience with test management, defect tracking, source control, build systems, CI/CD, and release-management tools. Strong communication, organization, analytical, stakeholder-management, and distributed-team leadership skills. Bonus Points Experience working on a live mobile, free-to-play, or core game. Experience with mobile-device farms, emulators, simulators, or cloud-based device testing. Experience testing Unity, Unreal, or other game-engine-based products. Experience with API, backend-service, data, performance, load, or reliability automation. Experience automating live events, remote configuration, experimentation, monetization, or service-driven game features. Familiarity with AI-powered test generation, test maintenance, visual validation, defect triage, or code-assistance tools. Experience establishing automation metrics, quality dashboards, and engineering quality gates. Experience working across internal and external development partners. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: US - Culver City, California, United States; US - United States Scopely is looking for a Senior QA Manager, Automation & Tooling to join our team supporting a soon-to-be-announced AAA mobile game title. This role can be remote in the US and Canada, or hybrid in Culver City. You will lead the automation strategy for a live game, building the people, processes, frameworks, and tooling required to scale quality across frequent releases and a large, active player base. You will partner closely with Engineering, QA, Live Operations, and other disciplines to establish a development culture where automation is a shared responsibility and a core component of product quality. At Scopely, we create and operate games played by millions of people around the world. This role is an opportunity to shape how quality engineering evolves from the ground up for a high-scale live mobile game. What You Will Do Define and execute the QA automation strategy for a live mobile game, including scalable frameworks, tooling, standards, and quality gates. Build and lead an automation team from the ground up, including hiring, team structure, processes, mentorship, and career development. Design, build, and implement automated testing across UI, API, integration, regression, end-to-end, mobile, and live-operations workflows. Evaluate automation approaches, frameworks, platforms, and traditional or AI-assisted tools based on coverage, maintainability, speed, and value. Establish automation standards, coding practices, test architecture, reporting, observability, and quality gates that can scale with the game and organization. Partner with Engineering and QA to prioritize automation, improve testability, integrate testing into CI/CD, and establish shared ownership of automated tests, ensuring automation is part of the definition of done for every feature. Provide hands-on technical leadership through framework design, prototypes, code reviews, automation implementation, and test-script development. Mentor manual testers as they develop coding and automation skills, while defining metrics for coverage, stability, flakiness, execution time, and defect detection. Communicate quality risks, automation progress, and investment needs while partnering with Product, Live Operations, Marketing, Customer Support, Localization, and external development teams. Champion quality and release excellence across the organization while ensuring automation supports—not replaces—strong exploratory and risk-based testing. What We’re Looking For 8+ years of experience in QA, test automation, or quality engineering, including 4+ years leading or building automation teams. Proven experience creating automation strategies, frameworks, tooling, and infrastructure for complex products, ideally from the ground up. Experience evaluating automation approaches and tools, integrating automated tests into CI/CD pipelines, and scaling quality practices for frequent live releases. Hands-on programming experience in one or more languages; C# preferred. Strong understanding of testing methodologies, automation architecture, coding practices, testability, and software development lifecycles. Experience mentoring manual testers in coding, automation, and automated test-script development. Proven ability to align Engineering and QA around automation, shared quality ownership, and continuous improvement. Experience with mobile testing and familiarity with traditional and AI-assisted testing tools; game-testing experience preferred. Experience with test management, defect tracking, source control, build systems, CI/CD, and release-management tools. Strong communication, organization, analytical, stakeholder-management, and distributed-team leadership skills. Bonus Points Experience working on a live mobile, free-to-play, or core game. Experience with mobile-device farms, emulators, simulators, or cloud-based device testing. Experience testing Unity, Unreal, or other game-engine-based products. Experience with API, backend-service, data, performance, load, or reliability automation. Experience automating live events, remote configuration, experimentation, monetization, or service-driven game features. Familiarity with AI-powered test generation, test maintenance, visual validation, defect triage, or code-assistance tools. Experience establishing automation metrics, quality dashboards, and engineering quality gates. Experience working across internal and external development partners. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $112,200 — $165,300 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

• Опыт работы с одним из языков для автоматизации (Python, Java, C#). • Готовность писать код для тестов и анализа логов.

Задачи: — Создание игровых пропсов и декораций — Текстурирование и создание PBR-материалов — Оптимизация и интеграция ассетов в Unity — Работа по референсам и техническому заданию Технические ориентиры: — Использование движка Unity URP — Стиль полуреализм — Бюджет по трисам и текстурам согласно техническому заданию — Работа с программами Maya, 3ds Max или Blender (на выбор), Substance Требования: — Опыт работы в геймдеве от 1 года или сильное портфолио с игровыми пропсами — Знание пайплайна создания game-ready ассетов: low-poly, запекание, UV-развёртка, PBR — Наличие собственной рабочей станции, способной без лагов запускать Substance и Unity Условия: — 100% удалённая работа — Сдельная оплата за задачу или этап — Оформление через ИП или договор ГПХ, оплата ежемесячно — Гибкий график, работа по конкретным задачам — Возможность постоянного сотрудничества и более крупных задач (локации, окружение) при хорошем результате — Тестовое задание есть, оплачивается, если применимо в проекте Особенности проекта: — Атмосферный survival-проект с кооперативным режимом — Второй год разработки, общий срок проекта 5 лет — Вдохновение от игр Sons of the Forest и The Long Dark

• Creating, pitching, and prototyping gameplay ideas for core combat and moment-to-moment mechanics and systems, combat characters, their feel, behavior, abilities, and encounters in various settings.

Ищем сильного Lead Game Producer, который возьмёт на себя полную ответственность за производство мобильной онлайн-игры — от формализации продуктовой концепции до запуска и дальнейшего развития. • Превращать продуктовую концепцию в конкретные механики, требования, roadmap и backlog.

Location: Los Angeles, USA Riot engineers bring deep knowledge of specific technical areas but also value the chance to work in many broader domains. As a Senior Software Engineer at Riot, you'll combine deep technical expertise with product ownership and player empathy to build experiences that delight millions of players around the world. As a Senior Software Engineer on the League of Legends Bots team , you’ll build and integrate bot systems, develop the services and tools that power them, and collaborate with global partners to bring new gameplay capabilities into League. You'll report to the team's Engineering Manager and work in a hybrid environment based at our Los Angeles office, with an expectation of being onsite 1–2 days per week. Responsibilities: Design, implement, and maintain gameplay systems using traditional game AI, machine learning tech, and proprietary engine technologies Collaborate with game designers, engineers, and product partners to translate player needs into compelling bot experiences Improve team workflows by identifying and implementing engineering best practices Own complex technical initiatives from design through delivery, contribute to architectural decisions, and elevate engineering quality through mentorship, thoughtful code reviews, and technical collaboration. Work closely with global teams, including but not limited to Sydney and China Required Qualifications: 5+ years of professional experience in the game industry 3+ years of C++ development experience in a production environment Interest in building and operating ML-powered applications, with a willingness to learn model inference, deployment, and integration into game systems. Hands-on experience in either Gameplay engineering, or AI/Bots engineering Strong communication and collaboration skills across disciplines Professional working proficiency in Mandarin for technical collaboration with international partners Bachelor's degree in Computer Science or a related field Preferred Qualifications: Experience or interest in building machine learning applications, backend services for games, or data-driven decision making Interest in full-stack engineering within the game development space Experience with Unreal, Unity, or other commercial game engines Has a history, is actively playing, or has a deep desire to play League of Legends For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! 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. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

• Превращать продуктовую концепцию в конкретные механики, требования, roadmap и backlog. • Управлять разработкой, сроками, приоритетами, бюджетом и рисками.

We are seeking an experienced Senior C++ Developer to join our Quality Verification team, focused on enhancing automated multiplayer playtesting through innovative AI bot systems. • Design, implement, and maintain AI bot systems for automated multiplayer playtesting.

Location: Multiple Countries Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan. We are looking for an experienced DBA (Databricks) for a long-term project. The customer is a company in California, an industry leader in the sale of tickets to events in Europe and the USA. We offer 100%  remote, full-time work. Main tasks: Manage multiple Databricks workspaces (dev/qa/prod); Configure cluster policies, governance & compliance; Create & maintain unity catalog objects: catalogs, schemas, grants, service principals, external storage etc; Monitor and debug failed / long-running jobs using system tables (job_run_timeline, node_timeline, workflow_run); Troubleshoot cluster crashes, driver OOM, executor failures, memory leaks; Investigate Python / Spark errors, dependency conflicts (PyPI, WHL, Maven) Assist users with cluster/job configuration, notebook errors, unity catalog permissions; Explain platform limitations and best practices to Data engineers; Maintain confluence pages with platform rules & troubleshooting guides; Requirements: Experience in implementation, integration or technical support; Experience with Linux, Bash; Confident SQL skills; Strong experience of working with AWS Infrastructure (ec2, s3, iam, vpc, secret management, sqs); Experience with Python sufficient for writing small scripts or applications; Experience of maintaining Databricks jobs & environments; Experience with REST API/SDK; Understanding of file-based databases (DeltaLake, Parquet, Hive); Understanding of of cluster types & node families; Spoken English at Intermediate level or higher; Would be a plus: Databricks REST API / Databricks SDK; Working with schema evolution, time travel, vacuum, compaction, z-order; Debugging corrupted delta tables (conflicting commits, tombstones, missing checkpoints); Understanding of acid implementation on top of object storage; Spark knowledge (jobs, partitions, queries), experience in Kafka or similar technology, familiarity with Terraform / Gitlab CI; Cost monitoring for platform services and objects; Experience in enterprise Data platforms; Working conditions: Nearshore candidates preferred, with availability to work EST or Pacific Time hours Remote work with no time trackers, flexible working hours Full-time (8 hours/day) Attractive USD compensation Paid vacation, holidays, sick leaves

Location: Multiple Countries Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan. We are looking for an experienced Platform Administrator (Databricks) for a long-term project. The customer is a company in California, an industry leader in the sale of tickets to events in Europe and the USA. We offer 100%  remote, full-time work. Main tasks: Manage multiple Databricks workspaces (dev/qa/prod); Configure cluster policies, governance & compliance; Create & maintain unity catalog objects: catalogs, schemas, grants, service principals, external storage etc; Monitor and debug failed / long-running jobs using system tables (job_run_timeline, node_timeline, workflow_run); Troubleshoot cluster crashes, driver OOM, executor failures, memory leaks; Investigate Python / Spark errors, dependency conflicts (PyPI, WHL, Maven) Assist users with cluster/job configuration, notebook errors, unity catalog permissions; Explain platform limitations and best practices to Data engineers; Maintain confluence pages with platform rules & troubleshooting guides; Requirements: Experience in implementation, integration or technical support; Experience with Linux, Bash; Confident SQL skills; Strong experience of working with AWS Infrastructure (ec2, s3, iam, vpc, secret management, sqs); Experience with Python sufficient for writing small scripts or applications; Experience of maintaining Databricks jobs & environments; Experience with REST API/SDK; Understanding of file-based databases (DeltaLake, Parquet, Hive); Understanding of of cluster types & node families; Spoken English at Intermediate level or higher; Would be a plus: Databricks REST API / Databricks SDK; Working with schema evolution, time travel, vacuum, compaction, z-order; Debugging corrupted delta tables (conflicting commits, tombstones, missing checkpoints); Understanding of acid implementation on top of object storage; Spark knowledge (jobs, partitions, queries), experience in Kafka or similar technology, familiarity with Terraform / Gitlab CI; Cost monitoring for platform services and objects; Experience in enterprise Data platforms; Working conditions: Remote work with no time trackers, flexible working hours Full-time (8 hours/day) Attractive USD compensation Paid vacation, holidays, sick leaves

Location: Cairo, Egypt Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.