Вакансии

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior Autonomy Engineer focused on SLAM & Navigation to join our team. In this role, you will bridge the gap between classical spatial geometry and next-generation AI. You will lead the design and development of robust state estimation, long-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock-solid spatial awareness and execute highly reliable trajectories over extended deployments in complex, real-world environments. WHAT YOU'LL DO - Design and scale robust SLAM pipelines that maintain highly accurate localisation and state estimation across dynamic physical spaces. - Integrate foundation geometry models and modern ML techniques into the localisation loop to enhance traditional spatial tracking, data association, and visual odometry. - Architect and maintain robust long-term mapping systems that enable robots to autonomously update, manage, and scale spatial maps across changing environments over time. - Build and scale auto-labeling data pipelines that leverage foundation geometry models to generate high-fidelity spatial ground truth for downstream ML training. - Bridge classical geometry with deep learning architectures, building hybrid systems that map raw sensor data into globally consistent metric trajectories. - Deploy and benchmark spatial AI software directly on physical robot hardware, ensuring deterministic, ultra-low latency execution on edge compute. - Translate cutting-edge spatial AI research into production reality, continuously evaluating breakthroughs in geometric learning to guide our navigation roadmap. WHAT WE'RE LOOKING FOR - Deep expertise in classical SLAM and multi-view geometry, including extensive hands-on experience with state estimation, visual/LiDAR odometry, and multi-sensor fusion. - Experience handling backend map optimization and solving the unique structural challenges associated with long-term mapping in large or changing physical environments. - Practical experience applying modern ML to geometric problems, with exposure to utilizing or adapting newer foundation geometry models. - Proven ability to build scalable data pipelines or auto-labeling workflows tailored for geometric and spatial datasets. - Proficiency in C++ and Python, with a track record of writing clean, highly parallelized, production-grade algorithmic code. - Hands-on experience deploying navigation systems on physical hardware, with a deep understanding of the practical edge constraints of real-world robotics. - A research-to-production mindset, capable of tearing through the latest CVPR/ICRA papers and figuring out exactly how to make those models run with bulletproof reliability. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Задачи: — Постановка и контроль выполнения задач и проектов; — Координация работы бизнес-заказчиков, аналитиков, дизайнеров, разработчиков и QA; — Ведение проектов на всех этапах: от сбора требований и проектирования до запуска и поддержки. Требования: — Опыт работы в продуктовых IT-компаниях; — Понимание жизненного цикла разработки ПО; — Опыт веб-разработки и понимание принципов проектирования сервисов; — Знание Scrum и Kanban; — Умение расставлять приоритеты и принимать самостоятельные решения; — Системное мышление, развитые коммуникационные навыки и проактивный подход; — Готовность работать в динамичной среде и быстро адаптироваться к изменениям. Будет плюсом: — Глубокое понимание backend-разработки; — Творческий подход к решению нестандартных задач. Условия: — Офисный формат с гибким началом рабочего дня; — Релокация на Кипр с оформлением ВНЖ для сотрудника и семьи; — Полную компенсацию переезда; — Медицинскую страховку для сотрудника и семьи; — 22 рабочих дня отпуска; — Оплачиваемые обеды, компенсацию фитнеса, курсы английского и греческого языков.

Компания Mobile Up (аутстафф) приглашает на позицию Junior AQA (Python). Формат работы: удаленно, РФ Вилка: до 22.000 net (по ИП/СЗ) Требования: — Коммерческий опыт работы от 6 мес — Преобладание опыта тестирования backend (API, JSON, SQL, DevTools) — Знание pytest (фикстуры, параметризация) — Общее владение Python (циклы, базовые алгоритмы, типы данных, методы и функции, классы) — Владение базовыми запросами к БД (включая join из нескольких таблиц) — Умение описывать/создавать тест-кейсы для автоматизации — Навык интеграционного тестирования — Навык чтения логов (Kibana) Условия: — Работа в ИТ-аккредитованной компании — Возможность профессионального и карьерного роста

Location: European Union Workplace: Remote About the Role We’re looking for a Senior Software Engineer to join a newly forming team that will own one of the most specialised and business-critical domains in our technology landscape - Game Engine. This role sits at the intersection of engineering, game mathematics, platform, and compliance. You’ll work on the tools, frameworks, and services that enable our mathematicians and game teams to build, validate, run, and monitor game logic in production. This position is about deep ownership of a very specific technical domain: game engines, mathematical packages, simulation data, RTP monitoring, round details, and integrations with games developed both internally and by external studios. You’ll be part of a, experienced Core team with a high level of responsibility. The impact of this work is direct: incorrect game logic, missing round details, or inaccurate RTP monitoring can affect game delivery timelines, business performance, and regulatory readiness. If you enjoy working close to complex domain logic, reviewing technical implementations, understanding how games work under the hood, and owning systems where precision matters - this role will feel like home. Key Responsibilities - Own, maintain, and evolve Playson’s Game Engine. - Work on internal frameworks and libraries used by mathematicians to implement game logic and mathematical packages. - Review and validate code written by mathematicians, ensuring quality, correctness, maintainability, and proper usage of internal frameworks. - Contribute to the development and support of game engines used to run mathematical logic within our platform. - Support integrations with external game studios by helping build wrappers and bridges between third-party game implementations and Playson’s platform. - Work with data structures and protocols that connect game logic with frontend and backend systems. - Contribute to RTP monitoring processes, including validation of production transaction data against simulation data and expected mathematical behaviour. - Support and evolve tools used for mathematical review, simulations, data files, monitoring, and alerting. - Implement and maintain round details logic required for regulated markets, ensuring that detailed game round information can be correctly provided to partners and regulators. - Collaborate closely with mathematicians, backend engineers, platform teams, compliance stakeholders, and product representatives. - Participate in code reviews and technical discussions to ensure a high engineering standard across the Game Engine domain. - Investigate issues related to game logic, mathematical validation, monitoring, and engine behaviour. - Participate in minimal on-call responsibilities related to the systems owned by the team, mainly around monitoring, alerts, and domain-specific incidents. - Take ownership of a highly specialised area where quality, accuracy, and attention to detail are essential. Requirements - Strong software engineering experience, ideally in backend, game engine, gaming, gambling, betting, or simulation-heavy environments. - Strong background in C++ and experience working with legacy C++ systems. - Good understanding of software architecture, code quality, testing, debugging, and maintainability. - Experience with mathematical models, probability-based systems, simulations, random generators, or RTP-related logic. - Experience reviewing complex code and providing clear technical feedback. - Ability to understand domain-specific logic and work with technical systems where business rules, mathematics, and engineering are closely connected. - Strong problem-solving skills and ability to work with complex, non-standard technical challenges. - Experience working with production systems where reliability, accuracy, and correctness are critical. - Understanding of backend systems, APIs, data flows, and service-to-service communication. - Ability to collaborate closely with non-engineering technical experts, especially mathematicians or domain specialists. - Strong ownership mindset and willingness to become a key expert in a narrow but highly important technical domain. - Product-oriented thinking, with an understanding that games are the core product and engineering decisions directly affect delivery, quality, and compliance. - Experience in iGaming, gambling, betting, game development, or casino games. - English communication skills sufficient for working in an international environment. Nice to Have - Experience with Node.js/TypeScript. - Understanding of regulated markets and compliance requirements in iGaming. - Experience with ClickHouse or other analytical/columnar databases. - Experience with monitoring, alerting, and production diagnostics. - Experience with AI-assisted code review or automated validation tools. - Knowledge of microservices architecture and distributed systems. - Familiarity with Kafka, gRPC, Kubernetes, or AWS. - Experience integrating third-party games, external studio products, or wrapper-based solutions. - Ukrainian language skills would be a plus. What We Offer - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement Recruitment Process - HR interview - Technical interview (with Live coding) - Final interview Join us today! By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: Singapore Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. The Technical Automation QA (Playwright / TypeScript) at Constructor Tech will play a critical role in designing, implementing, and evolving our automation strategy and frameworks with a focus on Playwright and TypeScript . This role combines deep technical expertise with a passion for efficiency, reliability, and innovation in testing — including the adoption of AI-driven testing and Modular Composable Platforms (MCPs) . You will collaborate closely with development, DevOps, and QA teams to ensure automation excellence across all layers of the delivery process. Key Responsibilities Design, build, and maintain scalable automation frameworks using Playwright and TypeScript for web and API testing. Define and evolve test automation strategy , processes, and best practices to ensure consistent quality across projects. Develop and maintain robust, reusable test suites and utilities for regression, smoke, and integration testing. Integrate automation into CI/CD pipelines (e.g., Jenkins, GitLab CI) to enable continuous testing and fast feedback loops. Collaborate with developers and DevOps engineers to ensure test environments and data are stable and reliable. Apply white-box and gray-box testing techniques to ensure thorough coverage of both frontend and backend components. Contribute to the adoption of AI-assisted testing tools and automation intelligence for test creation, maintenance, and analytics. Participate in exploration and implementation of MCP-based automation components and reusable service connectors. Provide technical guidance through mentoring and peer reviews , helping less experienced QAs enhance their automation expertise and code quality. Continuously improve test performance, reliability, and reporting visibility through innovation and tool evaluation. Requirements Bachelor’s degree in Computer Science, Information Technology, or equivalent experience. 4+ years of experience in QA and automation , including 2+ years with Playwright and TypeScript . Proven experience in building test automation frameworks from scratch . Solid understanding of SDLC , QA methodologies , and automation design principles . Strong knowledge of TypeScript and/or Python for test development. Experience with REST API testing , SQL , and relational databases. Familiarity with Jenkins , GitLab CI , and Git for continuous integration and source control. Strong analytical and troubleshooting skills with a proactive, ownership-driven mindset. Fluent in English , both written and verbal. Nice to Have Experience with AI-powered testing tools or model-based testing . Familiarity with Linux , Docker , and Kubernetes (K8s) . Knowledge of mobile automation frameworks such as Appium or similar tools. Understanding of MCP architecture and how it can enhance modular automation. Knowledge of performance or security testing concepts. Experience working in Agile or Kanban environments. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Johannesburg, South Africa Workplace: remote WELCOME TO OLX   If you have a vision and are passionate about the same things we are, we'd love to meet you! At AutoTrader, we put much effort into creating an environment that will produce world-class solutions. We allow team members to take ownership of their work and see it through from beginning to end whilst drawing on the team's collective experience. As a team, we discuss problems, brainstorm, and settle on the best solution. Based in Randburg, Johannesburg, we are affiliated with the global OLX organization. We are always on the lookout for ambitious and passionate people to join our team.     At OLX, we're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible. We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust. Our brands – including AutoTrader, OLX, Otomoto, Property24, and more–  are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. This role is open as remote for all candidates based in South Africa.  We are looking for someone who: Likes building websites, backend systems or mobile applications. We are building a worldwide platform and need your help to succeed. If you are all about software development, performance, scale and user experience then come and be part of our dedicated and successful team. Requirements Minimum 5 years' experience with C# University or related Computer Science degree/diploma South African citizenship Advantageous Web Technologies (HTML, CSS, BootStrap, LESS etc) Microsoft Web Stack (MVC, C#, Razor, IIS, ASP.Net etc) Mobile Application Development (iOS, Mono, Android, Java etc) High performance/scale technologies (Caching, Load Balancing, Profiling, Indexing etc) Relational Databases (Microsoft SQL) Does this sound like you Good attention to detail Open to and willing to give critique Genuinely interested in coming up with the best solution Constantly learning about the things they are busy with and sharing with others What we offer Working with latest development tools Fast development environment No constant overtime to meet deadlines Guidance from and access to some very talented people About AutoTrader   We are committed to creating a trusted, safe and transparent vehicle e-commerce marketplace that empowers, enables and improves the lifestyles of those we connect while taking the Road Less Traveled. "We recruit people who share our values. We hire for culture and train for skill" @George Mienie, AutoTrader CEO   To support our commitment to diversity, inclusion, and compliance with South Africa’s Employment Equity Act, we collect gender and race information to help us monitor and promote equal opportunities. Please note that this information is confidential and does not influence hiring decisions, which are based solely on qualifications and experience.   Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences. As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every Perplexity product. - Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each. - Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces. - Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes. - Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts. - Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces. QUALIFICATIONS - 2+ years of professional software engineering experience (we're open to strong junior and mid-level candidates with a track record of shipping). - Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend). - Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome. - Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents). - Comfort with SQL and data-informed decision-making — you can pull, segment, and interpret your own funnel data. - Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions. - Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Direct experience on a growth, activation, conversion, retention, or lifecycle team at a consumer or PLG/self-serve SaaS company. - Experience training and productionizing ML models (classifiers, ranking, personalization) and connecting them to product surfaces. - Experience with SEO, lifecycle marketing tooling, or paid acquisition surfaces. - Familiarity with subscription and/or usage based billing products, paywalls, or paid upgrade experimentation. - Experience shipping for both consumer and enterprise audiences. - Time spent at a fast-growing startup or on a high-ownership engineering team. - Familiarity with mobile development - Swift/Objective-C/Kotlin/Java, in-app payments, mobile release cycles, Apple App Store and/or Google Play Store guidelines, and rollout monitoring

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences. As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every Perplexity product. - Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each. - Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces. - Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes. - Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts. - Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces. QUALIFICATIONS - 2+ years of professional software engineering experience (we're open to strong junior and mid-level candidates with a track record of shipping). - Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend). - Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome. - Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents). - Comfort with SQL and data-informed decision-making — you can pull, segment, and interpret your own funnel data. - Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions. - Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Direct experience on a growth, activation, conversion, retention, or lifecycle team at a consumer or PLG/self-serve SaaS company. - Experience training and productionizing ML models (classifiers, ranking, personalization) and connecting them to product surfaces. - Experience with SEO, lifecycle marketing tooling, or paid acquisition surfaces. - Familiarity with subscription and/or usage based billing products, paywalls, or paid upgrade experimentation. - Experience shipping for both consumer and enterprise audiences. - Time spent at a fast-growing startup or on a high-ownership engineering team. - Familiarity with mobile development - Swift/Objective-C/Kotlin/Java, in-app payments, mobile release cycles, Apple App Store and/or Google Play Store guidelines, and rollout monitoring

Location: United States, Madison, WI Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. Improve automation reliability, reduce flakiness, and optimize execution efficiency. Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications Bachelor’s degree in Computer Science or equivalent 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. Strong experience testing RESTful APIs, microservices, and distributed architectures. Proficiency in Python, Java, JS or similar languages for automation development. Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). Familiarity with databases, monitoring, and observability tools. Strong understanding of SDLC, Agile methodologies, and release processes. Excellent problem-solving, debugging, and communication skills. Preferred qualifications Experience validating ML outputs using statistical analysis or scenario-based testing approaches. Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). Prior work in content moderation ML, security, fraud detection, or adversarial ML. Experience testing high-scale, low-latency online services. Experience with Databricks or similar ML platform tooling. Familiarity with Node.js, React, or modern frontend technologies. Experience testing mobile, console, or other non-PC platforms. What sets you apart Strong combination of automation engineering and delivery ownership. Ability to drive quality across complex cross-functional initiatives. Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. Proven risk management and dependency coordination skills. Ability to influence engineering teams and promote quality guidelines. Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $152,500 — $228,700 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Обязанности: • Проектировать, разрабатывать и сопровождать ETL/ELT-процессы для загрузки, преобразования и контроля качества данных; • Разрабатывать и оптимизировать сложные DAG в Apache Airflow; • Проектировать архитектуру пайплайнов данных с учетом надежности, масштабируемости и производительности; • Интегрировать данные из различных источников: PostgreSQL, внешние API, webhook, S3-совместимые хранилища и другие системы; • Разрабатывать и сопровождать пайплайны обработки данных на Python и Apache Spark; • Работать с lakehouse-архитектурой и таблицами Apache Iceberg; • Оптимизировать SQL-запросы, ETL/ELT-процессы и инфраструктуру обработки данных; • Писать тесты для пайплайнов данных, обеспечивать качество и стабильность решений; • Проводить code review и участвовать в развитии инженерных стандартов команды; • Взаимодействовать с аналитиками, BI-специалистами и разработчиками для реализации бизнес-требований к данным; • Участвовать в сопровождении инфраструктуры и разборе инцидентов. Требования: • Опыт работы дата-инженером / ETL-разработчиком / backend-разработчиком от 1 года; • Уверенное знание Python; • Уверенное знание SQL, опыт написания и оптимизации сложных запросов; • Практический опыт работы с PostgreSQL; • Опыт работы с Apache Airflow, умение самостоятельно создавать и сопровождать сложные DAG; • Понимание архитектуры пайплайнов данных и умение проектировать технические решения; • Опыт разработки ETL/ELT-пайплайнов; • Опыт оптимизации производительности обработки данных; • Навыки написания тестов; • Опыт проведения code review; • Опыт работы с различными источниками данных и интеграциями; • Самостоятельность, системное мышление, ответственность. Условия: • Зарплата: 250 – 280 тыс на руки (полностью белая); • Ненормированный график, но без переработок (любые переработки компенсируются дополнительными выходными днями, но нужно быть готовым в случае необходимости поработать и поздно вечером, и в выходной день); • Офис в центре города (м. Трубная/Цветной бульвар).

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role We’re seeking an exceptional Principal Engineer to shape the technical direction and long-term architecture of Aidoc’s AI-first development tools. You’ll report to the company’s co-founder and Chief Architect, and drive meaningful change to the whole R&D department, setting standards of how engineering is done well and productively in Aidoc. In this role, you’ll lead complex, cross-organization initiatives and drive architectural strategy across multiple teams, while staying close to the code and ensuring decisions are grounded in real-world implementation. You’ll work directly with R&D leadership and all R&D teams to define and build the tools which will make Aidoc’s R&D organization 10x faster and better thanks to the new AI capabilities of the world. We will work in “startup mode” - close to our users, delivering value in quick iterations, while keeping very high engineering standards. Responsibilities Define and drive long-term strategy for AI-first dev tools in collaboration with engineering leadership. Define, develop, and integrate tools based on the latest AI technologies for the benefit of Aidoc’s R&D department. Lead company-wide technical initiatives, ensuring alignment across multiple teams. Lead and formalize engineering best practices around performance, reliability, and observability. Evaluate emerging technologies and identify opportunities to improve scalability, developer productivity, and overall system robustness. Requirements 15+ years of professional experience building software systems in Development. Proven track record in technical leadership roles, delivering complex cross-functional projects. Deep understanding of architecture, scalability, and operations of an engineering organization delivering enterprise software. Experience with cloud infrastructure (AWS or equivalent), and modern DevOps practices. Strong coding skills in one or more modern backend languages (e.g., Python, Go, Node.js, Java, C#). Power user of AI-first development tools (Claude Code / Cursor / other agents / MCP servers etc.) Strong technical leadership skills - able to align technical directors and executives towards a shared technical vision. First principles thinking - ability to break down your recommendations to the basic technical truths behind them. Advantage: experience delivering products to developers / highly technical customers. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Onboarding team owns the first experience every user has after signing up for Reddit. Every new Redditor, on every platform, walks through a flow we design, and our job is to make those first interactions feel streamlined, delightful, and personal. We guide each user through the signals we need to tailor their experience, then use those signals to help them quickly discover the magic of Reddit: valuable content and communities that feel approachable, relevant, and immediately rewarding from their very first session. Few teams at Reddit sit closer to the company's growth than this one. The decisions we make in the first session compound for the entire lifetime of a user, and the difference between a flow that connects and one that doesn't is the difference between someone becoming a lifelong Redditor or never coming back. That kind of leverage is rare, and it's why this work is some of the most impactful product engineering happening at the company. We get there by combining polished product engineering, ML-powered personalization, and rigorous product experimentation, in close partnership with product, design, and data science cross functional partners. We move fast, we ship to learn, and we measure everything we ship. If you want your work to genuinely shape how millions of people experience Reddit for the first time, this is the team to do it on. What You'll Do 🏗️ Foster and Guide the Technical Strategy for Onboarding Define and accelerate the backend architecture for a newly onboarded user: the signal-collection systems that learn who a new Redditor is, the personalization pipelines that turn those signals into a tailored first feed, and the experimentation infrastructure that lets us iterate on the moments that decide whether someone becomes a lifelong user. You won't be following a roadmap; you'll shape how we build the systems that compound for every user's lifetime. 🤝Partner With the EM to Cultivate a Growth Engineering Mindset Growth teams operate differently than platform teams. We prioritize experimentation and iteration, which means sometimes we throw things away to move faster. You'll help the team internalize that operating model: what it means to build for learning, how to balance velocity with reliability, and how to stay rigorous when moving fast. 🤖Scale Impact Through Collaborative Engineering You'll build and maintain deep partnerships with the engineering teams whose surfaces directly shape a newly onboarded user's experience: Relevance, Feeds, Notifications, and beyond. Many of these collaborations will touch ML-powered systems that surface the right content to the right users. You'll be the bridge that ensures Onboarding has a technical representation for the team and a collaborative influence on their roadmaps. 📊Instrument, Measure, and Iterate Establish the instrumentation and experimentation foundations that let the team run rigorous A/B tests on growth levers. Use metrics to make the case for the bets worth taking, and deprioritize efforts that don't meet goals. 🔗Guide Cross-Functional Alignment Serve as the engineering voice in XFN partnerships with Product, Design, Data Science, and other Consumer platform teams. You'll align stakeholders on technical feasibility and tradeoffs, co-author roadmaps that bridge user experience goals with backend realities, and represent Onboarding Engineering in Reddit-wide technical forums. ⚡Raise the Bar on Engineering Excellence Advocate for reliability, scalability, and maintainability across a complex, high-scale distributed system. Lead design reviews, establish patterns that the broader organization can learn from, and ensure that moving fast never becomes an excuse for accruing crippling tech debt. You'll define what "great" looks like on this team. Who You Might Be At least 7 years of experience . You’ve steered cross-team projects that solved tangible business problems, rather than just hitting a 'ship' date. A strategic partner, not just a technologist . A systems thinker. You see how the code, the product, and the team dynamics all influence each other. You can plan for next year while still helping an engineer through a blocker today. You're a mentor who helps other engineers level up . You don't just assign tasks; you help the team work through complex problems more effectively. You're energized by the opportunity to build culture and craft on a team, not just software. You're deeply data-informed and logical. You ensure metrics are part of the design process, not just an afterthought in a dashboard. Your architectural directions are traceable back to product and business outcomes, and you're fluent in the language of experimentation, funnels, and retention. Comfortable with growth-team ambiguity . You navigate ambiguity with confidence when the goal is clear but the path is not. You're comfortable with growth-team speed—prototyping fast, moving on when the data doesn't back a bet, and keeping the team focused when the plan changes. A focus on clear, transparent communication. You can effectively distill complex technical trade-offs for any audience—whether you’re collaborating on a whiteboard with peers or presenting a roadmap review to executive stakeholders. Experience with ranking, recommendations, and personalization . You have a proven track record of working on ML-heavy products. You can design the backend architectures, retrieval systems, and inference pipelines required to scale them. You understand the nuances of candidate generation and scoring, and you can partner effectively with Machine Learning engineers to turn model outputs (such as Two-Tower models) into high-impact product features. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: San Francisco; Palo Alto; New York City ABOUT THE ROLE The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake. The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem. KEY RESPONSIBILITIES - Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation. - Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation. - Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows. - Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences. - Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction. - Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams. - Drive architectural decisions across storage, compute, orchestration, and data APIs, partnering closely with product engineering and data science to align the data ecosystem with Perplexity’s roadmap. - Mentor engineers, review designs, and raise the technical bar for data infrastructure through thoughtful feedback, documentation, and hands-on collaboration. QUALIFICATIONS - 5+ years (Senior) or 8+ years (Staff) of software engineering experience. - Strong experience building production data infrastructure systems. - Hands-on experience with batch and/or streaming data processing at scale. - Deep familiarity with data orchestration systems (Airflow, Dagster, or similar). - Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.). - Strong systems thinking around reliability, latency, cost, and complexity tradeoffs. - Experience supporting ML/AI workflows, training pipelines, or evaluation systems. - Familiarity with data quality, lineage, observability, and governance tooling. - Prior ownership of internal platforms used by many teams. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

Location: San Francisco; Palo Alto; New York City ABOUT THE ROLE The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake. The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem. KEY RESPONSIBILITIES - Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation. - Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation. - Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows. - Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences. - Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction. - Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams. - Drive architectural decisions across storage, compute, orchestration, and data APIs, partnering closely with product engineering and data science to align the data ecosystem with Perplexity’s roadmap. - Mentor engineers, review designs, and raise the technical bar for data infrastructure through thoughtful feedback, documentation, and hands-on collaboration. QUALIFICATIONS - 5+ years (Senior) or 8+ years (Staff) of software engineering experience. - Strong experience building production data infrastructure systems. - Hands-on experience with batch and/or streaming data processing at scale. - Deep familiarity with data orchestration systems (Airflow, Dagster, or similar). - Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.). - Strong systems thinking around reliability, latency, cost, and complexity tradeoffs. - Experience supporting ML/AI workflows, training pipelines, or evaluation systems. - Familiarity with data quality, lineage, observability, and governance tooling. - Prior ownership of internal platforms used by many teams. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

Location: Canada Workplace: remote ABOUT YOU   Xsolla is looking for a Senior Frontend Software Developer to join a team responsible for building the platform powering all user-facing experiences. This role offers a unique opportunity to collaborate with both local and international teams, focusing on user-centric software that elevates the digital experience for Xsolla’s global audience. In this role you will have the opportunity to contribute in building high-performance frontend solutions used by game developers worldwide. This position requires strong frontend and e-commerce experience, the ability to work on complex technical initiatives, and the capability to support predictable, reliable delivery.   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: Collaborate with product managers, designers, and backend engineers to translate complex requirements into intuitive user experiences. Design, build and evolve scalable, high-performance frontend web applications Participate in code reviews, share best practices, and help maintain high engineering standards within the frontend team. Work closely with DevOps to streamline CI/CD pipelines, improve deployment reliability, and enhance observability through metrics and monitoring tools. Own features end-to-end such as requirement refinement, implementation, testing, and delivery. Optimize frontend performance, focusing on loading times, rendering speed, and bundle efficiency. Ensure cross-browser and multi-device compatibility while meeting accessibility (a11y) and usability standards. Contribute to the modernization, refactoring, and continuous performance improvements to keep the platform scalable, maintainable, and aligned with product goals. Contribute and enforce engineering best practices across coding, documentation, testing, and review processes. Ensure strong automated test coverage and reliable CI/CD workflows that reduce manual effort and improve delivery predictability. Own operational excellence, including incident response, root-cause analysis, and long-term reliability improvements. Advocate for scalability, performance, security, and observability across the platform’s architecture and tooling. Identify technical risks, estimate complexity, and communicate trade-offs to leadership and stakeholders. Qualifications & Skills: At least 2+ years of experience holding a senior frontend development title. 7+ years of frontend software development experience with strong expertise in modern frontend frameworks at scale. Experience building or leading frontend development for e-commerce, gaming, or monetization platforms Extensive experience with Typescript, React, Redux or modern state management libraries. Experience with module federation, component architecture, performance optimizations, accessibility, RSC, and SSR patterns. Strong expertise in modern CSS frameworks and UX/UI design systems and principles. Solid understanding of microservices architecture and RESTful or RPC-style APIs integration and patterns. Proficiency with Node.js and MongoDB for server-side functionality. Experience with automated testing frameworks (Vitest/Jest) and end-to-end testing (Playwright/Cypress). Good understanding of bundling and compilation (e.g., webpack, rollup, vite, esbuild) Experience with CI/CD workflows (GitLab CI or similar), private registries, and secure artifact handling. Proven ability to influence technical decisions and drive change. Experience in a leadership role is a plus. Excellent interpersonal and communication skills facilitating effective collaboration with a cross functional team. Committed to writing high-quality code and continuously improving projects. Strong understanding of development best practices, including design patterns, testing methodologies, and an agile development process. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Strong English communication skills, both written and verbal Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.  Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration: For the Frontend Software Engineer, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements 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.By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers people to perform at a higher level through a deeper understanding of their bodies and daily lives. We handle massive amounts of data continuously streaming up to the cloud from people improving their health and wellness to the world’s greatest sports teams and athletes mandating a fault-tolerant and highly available product. The Connectivity Software Team builds the critical link between WHOOP hardware, the iOS app, and the cloud. As an iOS Software Engineer on this team, you’ll design and implement the software that enables WHOOP’s wearable sensors to communicate seamlessly with the mobile platform. You’ll develop and optimize connectivity experiences that are robust, efficient, and invisible to the member — ensuring reliable data flow across our entire ecosystem RESPONSIBILITIES: - Architect, design, implement, and maintain iOS application components that interface directly with WHOOP hardware over Bluetooth Low Energy (BLE), Wi-Fi, or other communication protocols. - Define and evolve the iOS software architecture and communication protocols, maintain comprehensive documentation, and drive consistency across iOS and Android implementations. - Drive continuous improvement of performance, power efficiency, and reliability in the WHOOP connectivity software layer including background and system-level iOS services to enable reliable device connectivity, synchronization, and data transfer. - Champion strong software architectural principles for testable, scalable, maintainable software on your own team and across the organization. - Own and maintain a clear, prioritized backlog focused on code health, technical debt reduction, and testability improvements. - Raise the bar and champion higher engineering standards through prompt code review, increased test coverage, and improved design practices. Hold teammates accountable. - Represent the Connectivity iOS team in cross-functional settings such as bug triage, product syncs, firmware coordination, and guild representation. - Participate in the release process including getting the app built, managing build variants, signing, sending and testing through Firebase, and submitting to the App store QUALIFICATIONS: - BS or MS in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience. - 5+ years of professional iOS software engineering experience with a solid foundation in Swift, iOS system APIs, concurrency, and memory management. - Hands-on experience with Combine and background task processing for non-UI iOS features. - Demonstrated examples influencing other engineers in the application of architectural and platform-based software design principals to build scalable, modular, testable software.  - Experience debugging and diagnosing issues across complex or distributed systems (for example: firmware, mobile, backend) is a strong plus. - Excellent collaboration and communication skills, driving cross-functional problem solving, tradeoff definition, and optimization. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $170,000-$230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Anywhere Workplace: Remote FINANCIAL SERVICES ARE BEING REBUILT FROM THE RAILS UP Stablecoins, programmable blockchains, and AI are changing how financial services get built. For a decade, fintech took legacy banking, wrapped it in better software, and won on experience. The rails underneath never moved. Now they do. Altitude is a new kind of financial services company. Banking becomes a module, programmable like the rest of the stack. On top of it we are building the global business account: hold USD and EUR, earn APY on idle treasury, send money anywhere via local digital payment systems, across 150+ countries, no US entity required. Built on Squads Protocol, the treasury infrastructure securing $10B+ in assets. Backed by Haun Ventures, Multicoin Capital, Electric Capital, and Coinbase Ventures. THE ROLE Product engineer is the job for people who want the whole arc: the problem, the design, the code, and the thing customers actually touch. You will work directly with founders and designers, take features from a rough idea to shipped, and own them after they ship. There is no layer of project managers translating between you and the product. The distance between "this should exist" and "this is live" is meant to be short, and you are the person who keeps it short. This is money infrastructure, so the bar is high. The interfaces should feel obvious. The code underneath should be careful. Both matter, and we do not trade one for the other. WHAT YOU WILL DO - Build customer-facing features across the stack, from the account experience down to the money movement underneath it - Work shoulder to shoulder with design on flows where clarity and trust are the product, not decoration - Ship payments, FX, yield, and treasury features on rails that settle 24/7 - Integrate with onchain infrastructure and a wide network of PSPs - Own performance, correctness, and the edge cases that matter more when real money is moving - Help shape what gets built, not just how it gets built, and push back when something does not feel right WHAT WE LOOK FOR - You have shipped customer-facing products end to end, and you can point to ones you are proud of - Strong fundamentals in TypeScript and React, and comfort working across the full stack - Product taste: you care about UX, speed, and polish, and you notice when something is off - High ownership. You do your best work with autonomy and a clear problem, not a ticket queue - Care for craft that shows up in the details, especially the ones nobody asked about - You move fast without getting sloppy BONUS, NOT REQUIRED - Background in fintech, payments, or anything where correctness and money intersect - Familiarity with Solana, smart accounts, or stablecoins - Experience with the Tanstack ecosystem, or building and maintaining a design system OUR STACK - Frontend: Typescript, SPA, Tanstack (Start, DB, Form), ElectricSQL, Zod, PandaCSS - Backend: Rust, Axum, Temporal, Postgres, Redis - Infra: AWS - You do not need every item on that list. You should be the kind of engineer who is glad to work this close to product, performance, and real money at real scale. HOW WE WORK Small team, high trust, fast execution. A few things we actually mean: - Craftsmanship excellence. Every contribution, whatever its size, meets a high bar - Bias for action. We would rather ship, learn, and correct than wait for certainty - Radical transparency. Respectful candor over comfortable silence - Kindness matters. It compounds, internally and with every customer WHAT WE OFFER - Competitive compensation with meaningful equity and real upside - Unlimited, flexible PTO and a flexible schedule - Company laptop and an allowance for whatever else you need to do your best work - Two company-paid off-sites per year

Location: London, England, United Kingdom About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About The Role We're rebuilding Wheely to be the fastest and most reliable ride-hailing app on the planet — one where both the passenger app and the driver app stay responsive on a flaky signal in the back of an apartment building, keep working behind censorship firewalls, and don't drop the real-time guarantees a moving car depends on. We're also adding something nobody in this category has built seriously: privacy as a product, not a compliance footnote. This role owns the core that makes all of that possible: the platform, the infrastructure, the privacy primitives the rest of engineering builds on top of, and the internal agent harness that lets teams across the company automate work that used to need humans. You'll inherit a mostly-Go codebase and a small group of strong engineers. You'll also inherit a genuinely open question on most of what matters. Is microservices the right end state, or did we default into it? How should a backend look in 2026 when AI has absorbed a large share of routine engineering work, when QA isn't a separate function, and when a small senior team paired with a few unusually strong grads can outship a 2019-style org several times its size? Our main engineering hub is in Cyprus. We're now building up London as a second hub, and this role is part of that — you'd be one of the first senior engineering leaders on the ground here, helping shape what London looks like as a location, who we hire into it, and what work belongs where. Responsibilities Own the technical direction of the platform end to end — including the architectural questions that haven't been answered yet, like whether to keep moving toward microservices or reconsider. Make real-time work, end to end. Driver app especially (location, dispatch, ride state) all of it under adversarial network conditions. Lead the privacy story on the engineering side — what's actually different about how data flows through our systems vs. every other ride-hailing company. Own and grow the agent harness so other teams can wire AI into workflows that used to need people. Today it's Rust. Tomorrow's shape is yours. Help build London as an engineering hub. That means hiring into it, deciding (with the rest of the leadership team) what work makes sense in London vs Cyprus, and setting the culture for a new office while staying tightly coupled to the main hub. Requirements You have designed backend systems from scratch (not only maintained, scaled, or rewritten what someone else built). We'll spend real time in the interview on the trade-offs you made and why. Real-time systems experience at consumer scale. Several years of managing engineers, with hiring and firing calls you'd defend in detail. Total headcount matters less to us than the calibre and the outcomes. Based in London. We sponsor visas: you don't need to be in the UK today, you just need to be willing to move. Regular travel to our Cyprus hub expected, especially early on. What we offer Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice Employee stock options plan Private medical and dental insurance Life and critical illness cover Latest-generation MacBook Pro and 4k display Monthly credit towards Wheely journeys Cycle to Work scheme Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice