Вакансии

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity About the Liquidity Platform The Liquidity Platform provides technology covering the full lifecycle of cryptocurrency trading, including venue connectivity, real-time market data processing, automated quoting and trading, order execution, position management, risk controls, and data analytics. The platform connects to centralized exchanges, decentralized venues, and event contract markets worldwide. It supports spot, derivatives, and event contract products and provides stable, efficient infrastructure for our liquidity business. About the Options Market Making Team The Options Market Making team develops and operates automated options quoting and trading systems. Our responsibilities span market data integration, options pricing, volatility and Greeks calculations, automated quoting, order execution, position management, hedging, and risk controls. The team owns the complete trading lifecycle and continues to advance both the multilingual development of our trading systems and our AI-native engineering practices. In this role, you will contribute across the trading system, develop an understanding of its different business domains, and take end-to-end responsibility from requirements analysis and implementation through production operation. What You’ll Be Doing Design, develop, and operate automated options market making systems covering market data, pricing, quoting, order execution, hedging, positions, and risk controls. Work closely with trading, quantitative, and product teams to translate business requirements into reliable, testable production systems. Contribute to the development of trading systems and continuously improve the performance, stability, and maintainability of critical trading paths. Follow an AI-native engineering approach by applying AI coding tools to requirements analysis, technical design, development, testing, and code review, while remaining accountable for the quality of the final delivery. Improve testing, monitoring, alerting, and recovery capabilities, and participate in incident resolution and post-incident reviews. Own the technical design and code review of core modules. Senior and Staff engineers will also lead cross-module projects and architectural evolution. What We Look For In You Bachelor's degree or above in Computer Science, Software Engineering, Mathematics, Physics, or a related discipline. At least two years of experience in backend engineering, real-time systems, infrastructure, or trading systems. Proficiency in at least one of Java, Rust, or C++, with the ability to work effectively in a multilingual codebase. Strong computer science fundamentals, including operating systems, network communication, multithreading, concurrent programming, and distributed systems. Proficiency in using AI coding tools for requirements analysis, development, testing, and code review, with the ability to independently evaluate and validate AI-generated designs and code. Strong analytical skills, business understanding, ownership, and communication skills, including the ability to read technical materials and communicate in written English. Technical Requirements Proficiency in developing production systems with Java 17+, Rust, or C++, with the ability to design, implement, and troubleshoot within a multilingual codebase. Familiarity with Linux development and runtime environments, including the use of common tools for resource analysis, performance diagnostics, and troubleshooting. Experience with multithreading, asynchronous processing, network I/O, and high-performance data structures, with an understanding of lock contention, memory allocation, caching, garbage collection, and their impact on latency. Ability to use AI coding tools to support requirements analysis, development, testing, and code review, while independently validating the correctness and production safety of generated code. Familiarity with TCP, UDP, WebSocket, HTTP, or proprietary exchange protocols, with experience developing real-time data or trading interfaces. Ability to design and optimize high-throughput, low-latency systems and identify bottlenecks through profiling, benchmarking, and production metrics. Familiarity with real-time messaging and inter-process communication. Experience with Aeron, shared memory, lock-free queues, or binary protocols is preferred. Experience building logging, metrics, alerting, and automated recovery capabilities for continuously operating production systems. Familiarity with build and dependency management for large multi-module projects, together with experience in unit testing, integration testing, and continuous integration. Preferred Qualifications Experience in options market making, quantitative trading, exchange connectivity, market data, order management, quoting, hedging, or risk systems. Understanding of order books, order lifecycles, and market microstructure. Understanding of options pricing, volatility, Greeks, PnL, inventory risk, and dynamic hedging. Experience developing low-latency trading systems, real-time market data systems, or high-performance network services. Experience evolving multilingual systems or separating performance-sensitive components. Experience with market data replay, strategy simulation, trade reconciliation, or production incident resolution. Experience using Python for data analysis, backtesting, or production diagnostics. Practical experience using AI coding tools such as Claude Code or Codex in production projects. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Vladivostok Workplace: onsite 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.   ABOUT YOU We are looking for a Backend Engineer at junior level to join our APAC Partnerships team in Vladivostok, working alongside our HQ Integration Management and Engineering teams. Your job is to make partnerships technically real: turning an inbound partnerships inquiry into a working integration, generating and serving the affiliate and referral links that Traffic Source Partners use, and making sure the traffic those links carry lands correctly in our Web Shops and is attributed all the way through to a purchase. You will write the backend that sits between a partner and our commerce platform — link generation, click and conversion tracking, attribution pass-through, postbacks, and the reporting endpoints that feed partner payouts. You will also build the internal tooling that lets the Partnerships and Customer Success teams onboard partners and reconcile payouts without hand-editing spreadsheets. This is an entry-level engineering role with genuine product surface area. Recent graduates and career-changers with a strong project portfolio are welcome. If you like small, well-scoped systems that other people depend on daily, and you want to learn commerce, attribution, and payments engineering from a team that runs it at global scale, we would love to hear from you. RESPONSIBILITIES Build partner integrations Build and maintain backend services that power Traffic Source partnerships: affiliate and referral link generation, click and conversion tracking, attribution parameter pass-through, server-to-server postbacks and webhooks, and partner-facing reporting endpoints. Take new partnerships inquiries from intake through to production — clarify the requirement with the Partnerships and BD teams, write the technical spec, implement, test, and deploy. Integrate affiliate links with Xsolla Web Shops so partner-driven traffic is tracked end to end and attributed correctly at checkout. Read a partner's API documentation and build against it; where a partner needs to build against us, document our side clearly and support their integration. Tooling & data Build internal tooling and scripts for partner onboarding, bulk link generation, performance data extraction, and payout reconciliation reporting used by the Customer Success and Partnerships teams. Investigate and resolve attribution and tracking discrepancies together with Analytics and Customer Success — missing conversions, duplicate events, broken parameters, timing mismatches. Add logging, metrics, and alerting so integration failures are caught by us rather than reported by a partner. Ways of working Write and maintain API documentation and integration guides for partners and internal stakeholders. Participate in code review, write tests, and work within existing CI/CD pipelines and Git workflows. Work with the HQ Engineering and Integration Management teams on standards and architecture; escalate design decisions early rather than working around them. Collaborate closely with the Partnerships Designer on the frontend surfaces your integrations power, and with Customer Success on the payout data your services produce. Track work in Jira and keep technical documentation current in Confluence. REQUIREMENTS 1–4 years of professional backend development experience, or a strong portfolio of personal, academic, or internship projects you can walk us through. Recent graduates are welcome. Working proficiency in at least one backend language — Go, PHP, Python, Node.js / TypeScript, or Java. Solid SQL and relational database fundamentals (schema design, joins, indexing basics). Good understanding of HTTP, REST APIs, JSON, webhooks, and API authentication (API keys, OAuth 2.0). Comfortable with Git and working in a code-review culture. Able to debug a problem you did not write — read logs, reproduce, isolate, and explain the cause. English sufficient for technical discussion and written documentation with HQ teams; Russian for day-to-day work in the Vladivostok office. Based in, or willing to relocate to, Vladivostok for an onsite role. NICE TO HAVE Exposure to affiliate or performance marketing technology: tracking pixels, S2S postbacks, click IDs and UTM parameters, last-click attribution, deduplication, or traffic-quality and fraud filtering. E-commerce, storefront, checkout, or payments integration experience. Frontend basics (JavaScript / TypeScript, React) — enough to work productively with the Partnerships Designer on shop and landing-page surfaces. Docker, CI/CD pipelines, and cloud platforms (GCP or AWS). Message queues, scheduled jobs, or data pipeline experience. Familiarity with analytics or BI tooling. Interest in the gaming industry, fintech, or high-load consumer platforms. 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, 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. Benefits   Convenient working tools: New Mac laptop and any other necessary equipment for your efficient work. Google Workspace, Atlassian, Jira, Slack   Professional growth: Paid professional training and attendance at specialized conferences Exchange of experience between employees within the company Opportunity for professional growth within the company and department Obtaining expertise in various areas and products of the company   More perks Possibility of flexibility working Access to the corporate library Health & dental insurance No dress code Comfortable and new office environment   The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Требования: — владение Go, Python и JavaScript — опыт с C/C++ (прошивка/встроенные системы) будет плюсом

Задачи: — Обеспечение надежности, масштабируемости и стабильной работы систем через автоматизацию и поддержку инфраструктуры. — Проектирование, внедрение и поддержка надежных CI/CD пайплайнов и облачной инфраструктуры. — Проактивный мониторинг производительности систем, устранение проблем и постоянное улучшение доступности и эффективности платформ. Требования: — Глубокие практические знания Kubernetes и AWS. — Продвинутое администрирование Linux. — Владение скриптовыми языками Python, Bash. — Опыт проектирования и управления CI/CD пайплайнами (Gitlab). — Экспертиза в Terraform, знание Ansible будет плюсом. — Опыт работы с облачными сетями. — Опыт работы с RabbitMQ. — Опыт работы с PostgreSQL. — Английский язык на уровне B1 и выше. Инструменты и технологии: AWS, Cloudflare, Kubernetes, GitLab, Nexus, Helm/Helmwave, Vault, VictoriaMetrics, Envoy, OpenSearch, Grafana, Ansible, Terraform, RabbitMQ, PostgreSQL, Nginx/HAProxy.

Location: Москва Мы – Трайб «Управление модельного риска». Мы разрабатываем новую инновационную Платформу Sberbank.DS Ecosystem. Sberbank.DS Ecosystem - это линейка продуктов, решающая задачи по ускоренной разработке, валидации и мониторингу AI моделей в инфраструктуре Банка, SberCloud. Обязанности * операционные системы и сети: уверенное администрирование Linux (умение читать логи, управлять процессами, файловой системой), понимание стека TCP/IP, настройка Nginx * мониторинг и логирование: опыт работы с системами мониторинга (Prometheus, Grafana, Zabbix) и логирования (ELK/Elastic Stack, Loki) для анализа событий и создания дашборов * управление инцидентами: реагирование на алерты, работа с инцидентами по runbook, эскалация проблем на разработчиков и ведение документации * базы данных и очереди: базовые знания SQL, опыт работы с реляционными СУБД (например, PostgreSQL), понимание очередей сообщений (Kafka, RabbitMQ) * автоматизация (начальный уровень): написание скриптов на Bash и/или Python для автоматизации рутинных задач. Требования * опыт управления командой * уверенное администрирование Linux (логи, процессы, сеть, файловая система) * понимание сетевых протоколов (TCP/IP, HTTP, DNS) и опыт настройки Nginx/HAProxy/Envoy * ориентация на конечный результат — восстановление сервиса и выполнение SLA важнее формального закрытия заявок * стрессоустойчивость и способность сохранять ясность мышления при инцидентах * опыт развертывания и поддержки микросервисов в Kubernetes/OpenShift * понимание Service Mesh (Istio), самостоятельность и организованность — умение разбираться в проблеме без готового runbook, анализ логов, метрик и кода до эскалации. Будет плюсом: * базовое понимание экосистемы (HDFS, YARN, Spark, Hive). * опыт работы с большими данными * инструментальное владение AI для анализа, генерации и автоматизации. Условия * **только офисный формат работы**, ст. м. Кутузовская * ежегодный пересмотр зарплаты, * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: Full-time The Role As Nex’s Senior Electronic Engineer, you will work at the heart of Playground hardware and smart accessories, helping turn ambitious product ideas into reliable products at scale. You will develop and validate PCBAs, turn product intent into precise specifications, lead JDM execution, support products through production, and solve manufacturing and field problems at their root. You will work hands-on from development and EVT through industrialization, production, and sustaining. Our partners bring development capacity and manufacturing expertise; you will ensure Nex sets the technical direction, makes the critical decisions, and holds every product to a high engineering standard. The knowledge you gain from today’s products will also shape what comes next. By strengthening our tools, lab practices, standards, and technical judgment, you will help Nex build better consoles, push the boundaries of active play, and bring exceptional experiences to families everywhere. The Mindset You are curious, hands-on, and evidence-led. You turn ambiguity into clear requirements, promising ideas into working hardware, and complex failures into verified root causes. You pair bold product ambition with engineering discipline, challenge weak assumptions, and act on first principles and measured results. You build today’s product while making Nex stronger for the next one. What You’ll Do 1. Build and Sustain the Hardware Develop, bring up, and validate functional PCBAs for current consoles and accessories through EVT, production, and sustaining. Support design changes, component transitions, yield improvement, and field issues throughout the product lifecycle. 2. Set the Engineering Standard Turn product intent into precise, testable requirements, interfaces, design margins, and acceptance criteria. Codify as design guidelines. Hold every detail to an exacting standard for performance, reliability, safety, and compliance across global markets. 3. Lead JDM Execution Set technical direction and guide partners through design, validation, industrialization, production, and sustaining. Challenge plans, designs, tests, and conclusions; validate key evidence and keep technical authority inside Nex. 4. Make Quality Scale Build Nex’s failure-analysis capability and establish the true root cause of manufacturing and field issues. Prescribe and verify corrective actions that improve yield, prevent recurrence, and raise quality as volume grows. 5. Shape What’s Next Evaluate technologies, platforms, and components that can unlock better consoles and active-play experiences. Turn lessons, benchmarks, and working prototypes into stronger decisions for future programs. Success Looks Like Hardware moves confidently from development through production and sustaining. Products deliver exceptional performance, reliability, safety, and compliance as volume and global reach grow. JDM partners execute efficiently while Nex leads critical decisions and validates the evidence. Manufacturing and field issues become verified fixes and lasting improvements. Lessons from today’s products sharpen future technology and product choices. Every program leaves behind better tools, knowledge, standards, and engineering capability. Must Have Degree in Electrical or Electronic Engineering, or equivalent practical experience. 7+ years developing electronic systems for connected consumer products, including at least one product through mass production and sustaining. Strong digital, analog, power, high-speed interface, SI/PI, PCB, and system-architecture fundamentals. Demonstrated ability to evaluate technologies and components and turn findings into product recommendations. Hands-on experience building prototypes and functional PCBAs, bringing up boards, using lab equipment, and debugging cross-layer problems. Experience producing detailed engineering requirements and verification criteria. Experience leading technical work with JDM/ODM partners and critically evaluating designs, plans, circuit and functional testing, test data, and reports. Strong manufacturing and field failure-analysis skills, including verified root cause and corrective action. Clear written and spoken English; working Mandarin for supplier and factory collaboration. Nice to Have Experience with SoCs, cameras, sensors, audio, HDMI/USB, Wi-Fi/Bluetooth, or smart accessories. Familiarity with Android/AOSP or embedded Linux and hardware/software co-debugging. Experience with EMC, safety, reliability, regulatory certification, and high-volume manufacturing. Python or similar scripting experience for lab automation and data analysis. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Задачи: - Разработка и развитие микросервисов и data-процессов для online/streaming и batch обработки - Построение пайплайнов обработки, обогащения и репликации данных - Создание витрин, агрегатов и ML-фичей для антифрод-моделей - Работа с большими объёмами исторических данных и тяжёлыми расчётами - Оптимизация производительности и надёжности сервисов и пайплайнов Требования: - Коммерческий опыт разработки на Python - Опыт создания backend-сервисов и data-пайплайнов, понимание микросервисной архитектуры - Опыт работы с большими объёмами данных, понимание batch и streaming обработки - Опыт работы с реляционными и in-memory базами данных - Понимание принципов работы ML-пайплайнов - Будет плюсом: опыт в Anti-Fraud / Risk / Scoring, low-latency системах; Spark, Kafka, Tarantool или Ignite Условия: - Формат работы: удалённо - Пятница — сокращённый рабочий день

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Technical Account Manager About the job Twilio is looking for an experienced Technical Account Manager who is going to be the designated technical support engineering contact for our strategic customers.  As a designated TAM you will be supporting customers during Eastern hours (9am to 6pm ET) and working on the cases created by customers and resolving complex technical problems with potentially very costly and far-reaching consequences. You should have an interest in digging deep as well as be able to zoom out and look at the larger picture. The TAM delivers proactive guidance to the customer to provide added value through the use of Twilio technologies and deliver recommendations to make the customer’s environment less susceptible to business impacting downtime. You are able to remain calm and effective at higher workloads as well as excelling at prioritization and evaluation of situational urgency. There will also be the potential need to volunteer for holiday coverage on a stipend basis. Responsibilities In this role, you’ll: Use your strong technical and diplomatic skills to address customer issues and provide customer feedback to Twilio’s Product and Engineering teams. Work with our customers' and partners' developers, architects, and support personnel to resolve complex problems with potentially very costly and far-reaching consequences. Collaborate with your teammates and the Twilio Product and Engineering teams via Slack as well as filing JIRAs to report reproducible bugs. Understanding customer trends, analyzing patterns, driving betterments and reporting what you observe to the management team in order to better improve our support process is a key part of the role. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 6 to 10+ years of relevant experience Good knowledge of RESTful technology, previous work with APIs and ability to understand and troubleshoot issues with cloud solutions. Broad capabilities to troubleshoot server-side code (Java, Node.js, PHP, C#, Python) and client-side JavaScript, with a good understanding of React and Redux Skilled in troubleshooting network connectivity issues, with an understanding of TCP/UDP, and basics of SSL/TLS. High competency in communicating complex technical issues to both technical and non-technical audiences via phone or email mediums Comfortable in working with customers’ developers to troubleshoot use of the Twilio helper libraries. Have an inquisitive mind to understand how things work Advanced time management skills, ability to work well under pressure, and proficiency at developing workflows to increase troubleshooting efficiency while still following standard processes and procedures. Excellence in task prioritization and evaluation of situational urgency. Interest in utilizing customer feedback to identify and drive improvements in our products. Enthusiasm for interacting and collaborating with other departments within Twilio in your search for the solutions our customers need. Ability to stand in the customer’s shoes and demonstrated dedication to the customer experience. Experience in managing dedicated customer accounts. Desired: Understanding of Telecoms and VOIP including WebRTC and SIP Location This role will be remote and based in Remote, USA providing support during 9am to 6pm Eastern Time Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $116,960.00 - $146,200.00 This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until September 28th, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St) Workplace: Hybrid JOB ADVERT Senior Software Engineer, AI Enablement The role & impact You'll join a small team that builds the tools, platforms and best practices helping engineers across Xero work with AI. Rather than shipping something once and moving on, you'll own it end to end from early experimentation through to production, including the run books, monitoring and rollback thinking that keep it reliable once real engineers depend on it day to day. This is a role with real influence. You'll help shape the technical direction of an internal skills marketplace and AI distribution platform used across the wider engineering organisation, work directly with vendors like AWS, Microsoft and GitHub on technology that isn't public yet, and help guide and challenge a team that's still early in its AI journey. The team & how they connect The AI Enablement team sits within Engineering Experience and focuses on helping product engineering teams work faster and better with AI through platforms, tooling and practical guidance rather than just standard tooling. It's a close-knit team, spread across Melbourne, Sydney and the Sunshine Coast, with a product manager based in Wellington, who stay connected through regular syncs and a genuinely collaborative way of working despite the distance. Initially, you will focus on - Our current stack is C#, .NET and AWS, with Python and TypeScript picked up along the way for AI tooling - Building an internal skills marketplace and a distribution platform for AI tools used across Xero's engineering org - Developing guidance and best practice for authoring agent skills, including agents for remediation tasks - Collaborating directly with AWS, Microsoft and GitHub on early-access technology not yet available in market Where and how you can work You can be based anywhere in Australia, and we're also open to candidates based in New Zealand. The team works in a hybrid way and is used to connecting across time zones, with regular in person boost days to come together, plan and collaborate as a team. Here are some of the things we're looking for, for this role - You bring hands-on software engineering experience, ideally with C#, .NET and AWS — if your background is elsewhere, we're still keen to talk, as good engineers pick up new stacks quickly - You've built internal tools or platforms that other engineers genuinely relied on - Production discipline matters to you: You write runbooks, set up monitoring and think through rollback before anything goes live - You communicate clearly and know how to bring people along with an idea, not just ship code quietly in the background - You're curious about coding agents and AI-native tools, and you keep an eye on where AI engineering is heading - You can challenge a decision directly and respectfully, and you learn new things in a structured, quality-focused way Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Serbia; Albania; Bosnia and Herzegovina; Kosovo; Montenegro; North Macedonia Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior Data Architect to join its innovative team. About the Role We are seeking a highly experienced Senior Data Architect with demonstrated ownership of enterprise-scale Azure Data Platform architectures. The ideal candidate will be responsible for designing, modernizing, and optimizing complex data environments, while defining clear architectural direction and delivering implementation-ready solutions. This role requires a combination of strategic thinking and hands-on expertise across Azure Data Platform technologies, Databricks, data warehousing, and modern data architecture practices. Responsibilities Design and own enterprise-scale data platform architectures on Azure. Assess existing data environments and identify opportunities to improve scalability, performance, maintainability, and data quality. Define and implement modern data platform architectures using Azure services and Databricks. Design reusable and metadata-driven data ingestion frameworks. Architect and optimize structured and unstructured data processing solutions. Design and maintain scalable data models and analytical platforms. Define both tactical improvements and long-term target-state architectures. Create architecture documentation, technical specifications, and implementation guidelines. Collaborate with engineering teams, stakeholders, and business users to translate requirements into scalable solutions. Establish best practices for data governance, architecture standards, data quality, and platform reliability. Support engineering teams during implementation and architecture adoption. Must Have Proven experience as a Data Architect with end-to-end architecture ownership. Strong hands-on experience with the Azure Data Platform . Minimum 4 years of recent Azure experience. Strong expertise with: Azure Synapse Analytics, Azure Data Factory (ADF),Azure Data Lake Storage (ADLS),Azure SQL / SQL Server, Azure Cosmos DB, Databricks Strong experience with: Data Engineering, Data Warehousing, ETL/ELT architectures, Data Modeling, Incremental Processing, Cloud Data Platforms Advanced SQL and Python skills. Experience designing and implementing large-scale cloud data solutions. Strong experience working with both structured and unstructured data. Excellent communication and stakeholder management skills. Azure Synapse Expertise The successful candidate should demonstrate deep knowledge of: Synapse Pipelines Spark Pools Serverless SQL Dedicated SQL Pools Workload optimization and architecture design Data lake integration patterns Large-scale analytical platforms Azure Cosmos DB Expertise Hands-on experience with: Data modeling, Partition key strategy, Indexing, Scalability design, Throughput and RU optimization, Cost optimization, Consistency models, Change Feed, Distributed database architectures What We're Looking For Strong architecture ownership and decision-making experience. Experience modernizing and improving existing data platforms. Ability to quickly assess complex environments and provide actionable recommendations. Experience designing reusable and scalable ingestion frameworks. Deep understanding of structured and unstructured data processing. Strong data modeling experience for enterprise analytics platforms. Ability to balance short-term business needs with long-term architectural vision. Technology-neutral mindset when selecting tools and services based on requirements, scalability, performance, and cost. Experience producing implementation-ready architecture deliverables. Nice to Have Lakehouse architecture experience. Experience with AI-driven analytics solutions. Data governance and compliance experience. Experience supporting enterprise reporting and analytics environments. Knowledge of modern cloud-native architecture patterns. Technology Stack Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure SQL / SQL Server, Azure Cosmos DB, Databricks, Python, SQL, ETL/ELT, Data Warehousing, Data Modeling What We Offer Challenging enterprise-scale projects. Opportunity to drive architecture decisions and platform modernization initiatives. Collaboration with international teams. Long-term cooperation and professional growth opportunities. Innovative and supportive work environment.

Client: A global online sports betting company dedicated to building world-class technology products. Position overview: An experienced Automation Engineer in Test reporting directly to the Test Manager, working in a small agile team alongside SEITs, DevOps Engineers, and Data Engineers to ensure high-quality delivery. Responsibilities: — Design, build, and maintain data and reporting solutions using modern technologies. — Test and develop Integration layer changes, ensuring user stories meet quality standards. — Develop and maintain automated test frameworks for ETL, Big Data, API, and database validations. — Perform comprehensive test analysis and collaborate across cross-functional Agile teams. Requirements: — 3+ years of demonstrated experience with validation in Databricks. — In-depth experience in developing and maintaining automated test suites. — Proficiency in Python (preferred) and SQL. — Hands-on expertise with key test frameworks (BDD, Hybrid, PyTest, Allure). — Strong skills in Database, ETL, Big Data, and API validations. — Experience with CI/CD tools (Jenkins, GitHub Actions) and source control (Git). — Familiarity with AWS infrastructure and storage technologies (AWS, Databricks, S3, DynamoDB, Delta Lake, SQL). — Solid background in Agile ways of working. Nice to have: — Experience with streaming technologies (AWS Kinesis, Apache Kafka, Amazon MSK). — Familiarity with direct query engines (AWS Athena, Presto, Databricks SQL). — Experience using Jira and XRAY for test management. — Exposure to monitoring tools (Prometheus, Alert Manager, Grafana Loki). What We Offer: — Vacation days: Up to 26 business days per year. — 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types. — Health and life insurance (Luxmed). — MyBenefit platform with Multisport option. — Internal psychological support service. — English language classes from the first working day. — Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training. — Flexible workplace: work from the office, from home, or choose a hybrid option. — Tech Skills Mentoring Program. — Opportunities to develop as a public speaker, mentor, or technical interviewer. — Fully paid idle (bench) when not involved in a project. — Certification reimbursement (AWS, GCP, Microsoft, etc.).

Задачи: — Руководство командой ручного тестирования сетевого оборудования. — Анализ и ревью требований, подготовка дизайна и сценариев тестирования. — Оптимизация тестовой базы и улучшение покрытия тестами. — Организация тестирования новой функциональности и приемочных тестов для релизов. — Координация работы команды и взаимодействие со смежными подразделениями. — Анализ результатов, классификация дефектов, подготовка отчетов. — Совершенствование процессов тестирования, измерение и улучшение качества продукта. Требования: — Опыт работы с сетями в ЦОД. — Экспертное знание и практический опыт работы с протоколами ЦОД: MC-LAG, BGP, OSPF, VxLAN. — Опыт управления командой от 3–4 человек, подбор и мотивация сотрудников. — Понимание устройства компьютеров и ОС, опыт работы с Linux. — Опыт работы с системами версионирования, управления задачами и дефектами. — Понимание процессов разработки и тестирования; организаторские способности и аналитическое мышление. Плюсом: — Опыт проектирования и внедрения сетевой архитектуры. — Автоматизация тестов на Python или Go. — Сертификации: Cisco CCNA/Juniper JNCIA, Huawei HCIP/HCIE, Ericsson Extreme. — Тестирование высоконагруженных систем и опыт с ЦОД. Условия: — Зарплата: 250 000 - 320 000 руб (gross, ИП РФ или ТК РФ, аккредитация есть). — Формат: удалённо. — Полная занятость.

About us: Proxify connects top developers worldwide with opportunities. Since launch, Proxify developers have worked with 1200+ clients and 5000+ developers trust the network. Proxify supports remote full-time jobs with high ratings on Glassdoor and Trustpilot. The Role: Seeking a Senior QA Automation Engineer to be the primary architect of quality assurance strategy for a high-growth client team. Responsibilities include building scalable automation frameworks, defining test strategies, selecting tools, and integrating automated suites into CI/CD pipelines. The role is for a "Developer in Test" focused on building safety nets for confident code shipping. What we are looking for: — 5+ years in test automation with expertise in Playwright, Cypress, or Selenium — Ability to write clean, maintainable test code in TypeScript/JavaScript, Python, or Java — Experience building and scaling automation frameworks (Page Object Model, Screenplay Pattern) — Extensive experience testing RESTful and GraphQL APIs using Postman, SuperTest, or RestAssured — Hands-on integration of automated tests into pipelines using GitHub Actions, GitLab CI, or Jenkins — Mobile automation experience with Appium or Maestro is a significant advantage — Familiarity with performance testing tools like k6 or JMeter Nice-to-Have: — Knowledge of Docker for containerized testing — Experience with Visual Regression testing tools (Percy, Applitools) — Familiarity with Cloud Testing platforms (BrowserStack, Sauce Labs, AWS Device Farm) — Background in Security Testing (OWASP principles) Responsibilities: — Define automation roadmap and select tools matching client stack — Write, maintain, and optimize complex end-to-end integration and regression test suites — Collaborate with Developers and Product Managers to define "Definition of Done" and ensure testability — Identify, document, and track software defects, working closely with dev team — Act as "Quality Evangelist" by conducting code reviews for test scripts and sharing best practices What we offer: — On-time monthly payments with flexible withdrawal options — Predictable project hours with consistent 8-hour working days — Up to 24 flex days off per year without losing pay for full-time positions — Career-accelerating positions at cutting-edge companies — Hand-picked opportunities with no typical recruitment roadblocks — One-time contracting process for multiple opportunities — Consistent monthly compensation

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD This role owns how Higgsfield measures its product - from the first sign-up to whether people come back. You are the measurement owner for onboarding, first generation, the paywall, plans and credits, and retention. Product managers ship fast here - your job is to make sure they ship knowing. You make sure: - Every product decision has a number attached to it before it ships and after it ships - Experiments are designed to be readable, and then read honestly - including when the answer is “this didn’t work” - The events the product emits can be trusted; you own the definition, not just the query - A PM gets an answer in hours, not next sprint You are the person who decides what “it worked” means. WHAT YOU WILL DO Product measurement - Own the core product metrics: activation, first-generation success, generation depth, free→paid conversion, repeat usage, retention by cohort and segment. - Define each metric once, write the definition down, and hold the line on it - one definition across dashboards, decks, and Slack. - Instrument new features before launch, with product and engineering: which events, which properties, what success looks like, when we call it. - Watch the health of the event stream itself - tracking drift, double counting, missing parameters, naming breakage and find the problem before a decision gets made on top of it. Experimentation - Design A/B tests properly: hypothesis, one primary metric, unit of randomization, MDE, sample size, run length, guardrail metrics. - Read them honestly: significance, peeking, novelty effects, sample-ratio mismatch, segment heterogeneity. - Separate “we proved this works,” “we proved this doesn’t,” and “we can’t tell from this test” - and say which one out loud. Product & monetization analysis - In-product funnel work: onboarding and quiz, first generation, paywall, checkout, plan choice, credit top-ups. - Pricing and packaging analysis: plan mix, credit consumption, unit economics per generation, margin by feature and by model. - Feature adoption and its real effect on retention and revenue — separating “users who do X retain better” from “making people do X improves retention.” - Behavioural segmentation: casual creators vs corporate/B2B, new vs returning, by model and by use case. Mixing them hides everything that matters. Making it usable - Build the few dashboards PMs actually open on their own — decision-shaped, not comprehensive. - Write short readouts a non-analyst can act on. Visualize data for humans, not for other analysts. - Automate recurring reporting so your hours go to new questions, not refreshes. - Work in SQL, Python, BigQuery and product analytics tools. We use AI heavily - resourcefulness beats syntax. WHO WE'RE LOOKING FOR We're looking for an analyst with opinions. You should have: - Strong SQL: window functions, cohorts, funnels and retention on raw event data, without help. - Python at working level for analysis (pandas, notebooks). Entry level is fine - we use AI heavily. - Real experimentation experience: you have designed tests, run them, and killed features with the results. - Statistical honesty: you know what a p-value does and does not entitle you to say, and you have refused to call a flat test a win. - Understanding of subscription + one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of unspent credits. - The instinct to check the instrument before explaining the movement - a surprising number is a claim, not a fact. - Ownership: you decide what's worth analyzing, you chase the fix, you follow the recommendation to a shipped change. - Clear written and spoken English, B2+. Backgrounds that often do well: - Product analysts from consumer subscription or PLG products - Growth/BI analysts who moved into product and stayed - Early-startup analysts who built product measurement from zero - Data scientists who got tired of models and want decisions WHAT THIS ROLE IS NOT This role is not a fit if you: - Wait for a ticket to tell you what to analyze - Want to build models more than you want to change decisions - Need a data engineering team and clean tables to exist before you can start - Would report a lift you don't believe in because a stakeholder wants it - Need perfect data before you can say anything useful - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.   WHAT THIS ROLE MEANS AT HIGGSFIELD Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing. This role makes the company act per user, and know what that action was worth. You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number. You make sure: - Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else - We know who is about to churn early enough to do something about it — and we know whether the something worked - Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three - Every model and every campaign has a holdout behind it, so we can always state what it is worth in money WHAT YOU WILL DO Churn, retention & lifecycle propensity - Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it. - Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing. - Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system. - Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list. Uplift modelling & offer targeting - Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves. - Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes. - Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off. - Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup. - Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it. Lifetime value & payer economics - Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount. - Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes. - Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling. - Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it. Experimentation & causal measurement - Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it. - Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying. - Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud. - Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck. How we ship - Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining. - Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit. - Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score. - Write down what each model is worth, in money, and keep that number current. WHO WE'RE LOOKING FOR - Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this. - Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale. - Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift. - Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot. - Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer. - Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model. - Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule. - Clear written and spoken English, B2+. Backgrounds that often do well: - Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached - CRM and lifecycle data scientists who owned campaign targetingandits incrementality - Causal inference and uplift specialists who ship policies rather than papers - Strong product analysts who moved into modelling and kept the decision instinct WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open - Want to own a recommender or a serving stack — ranking is not in this role's scope today - Would target an offer at the users most likely to buy and call it personalization - Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't - Optimize AUC and hand the score to someone else to work out what to do with it - Need clean labelled data, a feature store and an experimentation platform to exist before you can start - Want predictable 9–5 workdays HIRING PROCESS We move fast: - Screening call (30 min) - Technical interview & case study (1 hour) - Practical home task (7 days) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Our Corporate teams support the company's performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. Voodoo's Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo's success. ROLE We're looking for a Senior Finance Data & Systems Analyst – Pigment Lead, AI & BI to join our Corporate team. In this role, you'll be the internal expert and owner of our Pigment platform, while driving data, automation, and AI initiatives to elevate the Finance team's performance and service quality across FP&A and Accounting. - Progressively take full ownership of Pigment's rollout and upkeep, reducing dependency on the external service provider and becoming the go-to internal expert on the tool - Optimize platform configuration, drive integration development, and build a strategic roadmap to support consolidation and reporting needs across FP&A and Accounting - Design and implement, together with the Head of FP&A, a structured budgeting process in Pigment, including workflow, calendar, and contributor governance - Adapt and evolve Pigment use cases tied to the Accounting close process, in collaboration with the Head of Accounting - Establish robust operational controls, including disciplined change management and a comprehensive financial data governance framework (definitions, quality, single source of truth, access governance) - Lead data and automation projects beyond Pigment to improve Finance team performance, including self-service analytics, reconciliation automation, and variance analysis - Drive the deployment of AI agents to replace manual processes and enhance the Finance team's operational efficiency - Scope and contribute to building priority Finance dashboards (Looker, Tableau, Power BI, or similar), ensuring metric consistency across Pigment, BI, and Finance reporting - Develop and maintain documentation, training materials, and user support processes to champion best practices across the Finance team - Mentor and grow a junior analyst or intern, progressively delegating Pigment, data, or reporting responsibilities PROFILE - 5–8 years of experience in Finance Data, FP&A, or Finance Systems roles, ideally in consulting or a tech scale-up environment - Hands-on experience with a Pigment rollout or run, or a similar EPM tool (Anaplan, Adaptive Insights, Hyperion, etc.) - strongly preferred - Demonstrated ability to internalize a tool previously managed by an external service provider, with a mandate to build internal autonomy quickly - Comfortable working with FP&A, Accounting, and Data/IT stakeholders alike - Some experience with SQL or Python and BI tools (Looker, Tableau, Power BI, or similar) - Genuine enthusiasm for applying AI to Finance, including no-code/low-code tools, agents, and LLMs - Ability to structure a data governance approach at the scale of a Finance function - Familiarity with accounting close processes is a plus - Prior mentoring experience (junior analyst, intern, or apprentice) is a plus - Fluent in both French and English BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Требования: — Опыт работы в тестировании от 3 лет. — Знание Python (middle разработчик или выше). — Знание операционной системы Linux на уровне опытного пользователя. — Знание SQL: практика использования СУБД, написание запросов средней сложности, чтение и разбор SQL-процедур. — Опыт разработки автотестов с использованием pytest и request(s) не менее 2 лет. — Опыт работы с системами контроля версий и CI-инструментами. — Желательно: знакомство с GitLab, Jenkins, Groovy, REST, опыт использования Allure framework, знания биржевой тематики или желание погрузиться в нее. Задачи: — Автоматизация тестирования сервисов бэкофиса ASTS в связи с переносом серверного приложения БО ASTS Legacy из Windows на РедОС. Условия: — Формат работы: удалённо. — Занятость: полная занятость.

Emlid is a company that creates professional equipment for high-precision measurements, used in geodesy, cartography, autonomous vehicles, construction, and more. Требования: — Владение Kotlin или другим объектно-ориентированным языком программирования (Java, C++, Python).