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Location: Brazil Who We Are At YallaPlay, We are a rapidly growing startup mobile gaming studio on a mission to bring people together through play, we create exciting mobile games that bring joy to millions of players worldwide. Founded in Austin, Texas, we’ve since expanded to Brazil and the UAE, growing our diverse and talented team of creators. We pride ourselves on a fun and collaborative work environment, with a remote-friendly culture and a dedication to producing high-quality, engaging games. Our current titles, including “Spades Masters” (iOS/Android), have been enjoyed by millions of players globally. Our passion lies in reinventing card games infusing them with fresh mechanics, beautiful design, and social features that spark connection and excitement. As we continue to scale, we’re looking for creative, driven individuals who are excited to help shape the future of multiplayer mobile gaming in a fast-paced, collaborative environment. Join us and be part of building something big from the ground up. The Opportunity We're looking for a Unity Developer to help build high-quality mobile games faster and smarter. Reporting to the Lead Unity Developer, you'll use modern AI development tools alongside your technical expertise to implement game features, prototype ideas rapidly, solve complex engineering problems, and continuously improve development velocity. This role spans the entire game development lifecycle, from rapid prototyping to live operations. Success requires strong Unity fundamentals, excellent engineering judgment, and the ability to use AI as a force multiplier while maintaining high standards for code quality, performance, and player experience. This position is remote and from Brazil. What You’ll Be Doing Develop and implement mobile games in Unity for iOS and Android. Use AI-powered development tools to accelerate coding, debugging, refactoring, documentation, testing, and prototyping while maintaining production-quality standards. Collaborate with designers, producers, artists, backend engineers, and QA to deliver polished player experiences. Write clean, scalable, maintainable C# code and validate AI-generated code before production use. Rapidly prototype gameplay mechanics and iterate based on team feedback. Optimize performance across a wide range of mobile devices using Unity profiling tools. Debug complex gameplay, networking, memory, and platform-specific issues. Implement gameplay systems, UI, animations, VFX, audio, and live operations features. Contribute to CI/CD, build automation, and deployment pipelines. Review code, improve engineering standards, and contribute to reusable systems and internal tools. Continuously evaluate new AI tools and workflows that improve team productivity. Participate in Agile development processes, including sprint planning and daily standups. What We’re Looking For What you need to have: Bachelor's degree in Computer Science, Software Engineering, Interactive Media, or equivalent experience. 5+ years developing mobile games with Unity. At least 2 shipped mobile game titles. Excellent C# programming skills. Strong understanding of Unity architecture, UI Toolkit/uGUI, prefabs, asset management, animation, audio, and scene management. Experience building both 2D and 3D mobile games. Experience optimizing CPU, GPU, memory, and battery performance. Experience with REST APIs, WebSockets, or multiplayer networking. Strong debugging and problem-solving skills. Experience working in Agile teams. Excellent communication and collaboration skills. AI-First Development We expect our engineers to use AI as part of their daily workflow. You should: Be comfortable using AI coding assistants (such as Unity AI, GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar). Know how to write effective prompts for technical tasks. Critically review, validate, test, and improve AI-generated code rather than accepting it blindly. Use AI to accelerate debugging, documentation, testing, refactoring, and code generation. Continuously experiment with new AI workflows that improve development speed without compromising quality. Understand the limitations, risks, and security considerations of AI-assisted software development. Why YallaPlay What You Get Real Impact – You’ll work on meaningful projects that reach a global audience. Collaborative Culture – Small team, big ambition. We keep things fun, respectful, and feedback-driven. Benefits & Perks Competitive salary Remote-first and flexible schedule- Digital nomad friendly Generous paid time off Paid birthdays off Growth opportunities and access to learning resources A team that actually loves games—and each other Next Steps Ready to join the team? We’d love to hear from you! Apply Share sample code and projects (GitHub) We review every application carefully and will be in touch if there’s a fit. Good luck!

Location: San Francisco, CA • New York, NY Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The AI Research team at Figma is working on the cutting edge of AI and Design. We work on optimizing agentic systems for design quality and end user experience. We build robust evaluators for Design and post-train models. We are a very collaborative, close-knit and impact-focused team of researchers and research engineers working on some of the most challenging technical problems at the intersection of AI and creativity. We are seeking PhD interns with expertise in machine learning and artificial intelligence to develop innovative AI solutions for design and creative products. Through both fundamental and applied research, your work will contribute to new AI-driven features in Figma products. This internship can take place in Winter 2027 or Summer 2027 in San Francisco or New York. What you’ll do at Figma: Drive fundamental and applied research in Generative AI with Figma product use cases in mind Formulate and implement new modeling approaches both to improve the effectiveness of Figma’s current AI models as well as enable the launch of entirely new AI-powered product features Explore the boundaries of what is possible with the current technology set and experiment with novel ideas Depending on your project, you may have the opportunity to publish your research in leading AI/ML conferences We'd love to hear from you if you have: Are a 4th or 5th year senior Ph.D student in AI, Machine Learning, Computer Vision, Natural Language Processing, Human Computer Interaction or a related field Proven expertise in AI through publications on recent advancements in AI, such as Large Language Models or Agentic systems Track record in applying machine learning techniques to projects in academia or industry Experience in Python and machine learning frameworks (such as PyTorch, TensorFlow) Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward While it’s not required, it’s an added plus if you also have: Related industry experience via a past internship or full-time role Experience communicating your solutions effectively to different audiences Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below.  Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future. Internship $74 — $74 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Ищем co-founders и ключевых партнёров в команду международного SaaS для автосервисов. Первый рынок — LATAM. Компания зарегистрирована в США. Стадия — early stage. На старте предлагается equity, без фиксированной зарплаты. Для ключевых участников возможен доход по мере масштабирования бизнеса. Уже в команде есть CEO, бухгалтер, юрист, гипотеза продукта, архитектура и план продвижения. Открытые роли: • CTO • AI / Automation Developer • Full-stack Developer • Product Manager • Sales / BD — LATAM • Customer Success Ищем не исполнителей, а партнёров, готовых строить и развивать продукт с нуля. Любовь к автомобилям и понимание автобизнеса — большой плюс. В отклике необходимо указать: кто вы, роль, опыт, ссылки на проекты / LinkedIn / GitHub, сколько времени готовы уделять, ожидания по equity.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We're hiring an IT Systems Administrator to join the founding IT team in San Francisco. You'll run most of our SaaS stack day to day, from maintenance and configuration changes to access and troubleshooting. You'll also build the automation that keeps that stack running as we grow. This is a role for someone who does a bit of everything: helping an employee that’s locked out, shipping a terraform change, and building an automation that removes a manual task. The ideal candidate has startup experience, is comfortable with ambiguity, and heavily leans into automation. WHAT YOU'LL DO SaaS Administration - Own the day-to-day administration of our SaaS stack, including maintenance, configuration changes, and license management - Administer LangSmith, our product, and use APIs to automate admin work - Administer identity and permissions across core SaaS platforms such as Google Workspace, Slack, GitHub, Zoom, and Microsoft 365 Automation and Tooling - Develop scripts, integrations, and reusable workflows using low or no code tools - Connect systems through APIs and event-driven workflows to reduce manual work Identity Management - Administer Okta and user access - Manage Okta group rules that help define our RBAC policy - Establish repeatable standards and automation for employee lifecycle, group management, application provisioning, and access reviews Client Platform Administration - Administer our MDM platform, Iru, to enforce policy configurations, patching, zero-touch deployment, and custom desktop environment configurations - Automate the hardware lifecycle from procurement, assignment, return, and recycling Core IT Operations - Provide hands-on troubleshooting and support to employees in the office and remotely across hardware, software, networking, and SaaS tools - Build and maintain the harness for our AI ITSM agent, including the tools, playbooks, and knowledge it needs to resolve issues on its own - Write documentation and playbooks, and use recurring support issues to guide what to automate next WHAT YOU'LL BRING - 3+ years of experience in IT systems administration or IT engineering, ideally at a fast-growing startup - Experience administering a broad SaaS stack that includes Google Workspace, Slack, Notion, and AI tools like Claude and ChatGPT - Hands-on experience administering Okta, including SSO, SCIM provisioning, and Okta Workflows - Comfort with REST APIs, webhooks, and API authentication methods - Experience using coding agents (e.g. Claude Code) as part of your day-to-day workflow - Experience with a macOS MDM platform and endpoint security tooling - Solid networking fundamentals (TCP/IP, DNS, DHCP, VPNs, wireless) - Clear communication, with patience for non-technical users - Annual salary range: $120,000-$160,00 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

About estaie: estaie is the first global infrastructure for extended stays of 15 to 365 days, connecting hotels, holiday homes, channel managers, PMSs, payment providers and other travel systems through intelligent inventory, pricing, search and distribution infrastructure. They operate globally with hubs in Dubai and Riyadh. Their AI layer powers dynamic pricing, agentic lead generation, smart inventory orchestration and autonomous operations. The role: You will build and lead the Forward Deployed Engineering (FDE) team responsible for connecting estaie to the hospitality ecosystem and making integrations work in production. You own team operations, delivery, and quality standards. You are a hands-on engineer, coding in TypeScript, Python, and SQL, reviewing PRs, debugging production issues, and leading by example. You partner with the CTO on architecture and technical strategy and collaborate with product, sales, and partnerships. Tasks: — Lead the FDE team: hire, onboard, grow a remote team, set expectations for ownership, quality, and pace — Manage delivery across multiple partner integrations: prioritise, unblock, keep commitments realistic — Coach engineers on integration design, debugging, clean code, and partner collaboration — Conduct 1:1s, provide feedback, build culture of accountability, async collaboration, and written decisions — Stay hands-on: write production code in TypeScript, Python, SQL; own integrations end to end — Review PRs, set standards for testing, observability, documentation — Participate in partner debugging sessions, production incidents, lead post-mortems — Own the integration platform: design integration patterns (authentication including OAuth 2.0 token refresh, signed webhooks, retries, rate limiting, idempotency, error handling) — Own canonical data model normalising inventory, rates, availability from partners — Ensure no overselling: concurrency control, handling out-of-order/late events, reconciliation jobs — Build shared tooling: mock partner servers, contract tests, onboarding tools, dead-letter queues — Lead AI production use: LLMs and agents for data mapping, operational copilots, automation — Set AI guardrails: structured output with schema validation, human review, eval sets, least-privilege access — Control AI cost and latency with queues, rate limiters, caching, model routing — Own uptime, security, performance of integration layer across regions/environments — Act as senior technical contact for key partners, channel managers, PMSs, payment providers — Feed field learnings back into product and platform priorities Requirements: — 8 to 12 years software engineering experience, including 3+ years leading engineers in high-growth startup, SaaS or platform company — Strong hands-on skills in TypeScript (Node.js / NestJS, React / Next.js), SQL, PostgreSQL, and Python — Experience building and running third-party integrations in production: webhooks with signature checks, idempotency, retries, rate limits, data sync/reconciliation — Solid grounding in distributed systems: transactions, concurrency, queues, event-driven design, out-of-order events, fault tolerance — Production experience with LLMs: evaluation, constraints, cost control — Cloud deployment experience with Docker and CI/CD, ideally on GCP — Experience leading remote, distributed teams with async, written culture — Comfortable running technical calls with external engineering teams and turning them into plans — Bias for action, debugging, documenting, automating, measuring, focus on working products Nice to have: — Hospitality, travel, fintech, marketplace or other integration-heavy background — Hands-on experience with channel managers, PMSs, OTAs, reservation systems, payment gateways — Experience building or leading forward deployed, solutions or integrations engineering teams — Kafka / Redpanda, OpenSearch / Elasticsearch, pgvector, Terraform — Experience in GCC markets, Arabic language skills First 90 days plan: — First 30 days: learn platform and live integrations, ship first production change, meet key partners — By 60 days: own at least one integration end to end, agree shared integration standards with team — By 90 days: have FDE hiring plan running, delivery rhythm trusted by team and partners, clear reliability metrics Conditions: — Fully remote (MENA time zone alignment required) — After one year, relocation assistance to Dubai or Riyadh for the right candidate Tech stack: — Frontend: Next.js, React, TypeScript, TailwindCSS, Laravel, Vue.js — Backend: Node.js / NestJS, Python (FastAPI), REST APIs, webhooks — Data: PostgreSQL (with pgvector), MySQL, Redis, BigQuery, Datastream — Async and events: BullMQ, Pub/Sub, Kafka / Redpanda — AI: Vertex AI (Gemini, Claude), LangChain, embeddings, vector search, agentic workflows — Infrastructure: GCP (Cloud Run, Cloud Build, IAM, Secret Manager), Docker, Terraform, GitHub Actions — Security and edge: Cloudflare (WAF, Zero Trust), OAuth 2.0, JWT — Observability: Cloud Logging, Prometheus, Grafana, alerting, anomaly detection — Integrations: channel managers, PMSs, OTAs, supplier APIs, payment gateways (Stripe, Tamara, Checkout.com), WhatsApp Business API, Twilio

Задачи: — Работать с инженерами и использовать собственные знания для понимания их проблем и улучшения их опыта. — Вносить вклад в внутреннюю платформу разработки (IDP), проектируя, реализуя и поддерживая внутренние инструменты и системы. — Использовать инженерную платформу для поддержки агентного кодирования. — Помогать определять процессы, фреймворки и лучшие практики для разработки. Требования: — Опыт работы бэкенд-разработчиком 5+ лет с TypeScript. — 2+ года опыта реализации безсерверных событийно-ориентированных микросервисных архитектур на базе AWS (Lambda, SQS, SNS, API Gateway и др.). — Опыт реализации пайплайнов с использованием GitHub Actions. — Солидный опыт в автоматизированном тестировании с использованием различных стратегий и парадигм. — Мышление, ориентированное на AI-first разработку; вера в ценность работы не только в кодировании, но и в владении продакшеном и продуктовым подходе, интерес к использованию AI и агентного кодирования для ускорения жизненного цикла разработки. — Мотивация помогать инженерам быть более продуктивными и улучшать их опыт. — Хорошие коммуникативные навыки на английском языке. Условия: — Гибридный формат работы в Белграде. — 25 дней отпуска в год. — Частная медицинская страховка. — Множество командных активностей и бонусов. — Бесплатный доступ к LinkedIn Learning и ежегодный бюджет на личное развитие. — Схема роста прибыли. — Корпоративный телефон (iPhone или Android). — Комфортный офис с 80 парковочными местами. — Отличное оборудование, конкурентная зарплата и разнообразные дополнительные льготы, включая абонемент в спортзал и скидки в местных магазинах.

Квитто - FinTech-сервис для онлайн-бизнеса: приём оплат из России и из-за рубежа, рассрочки и кредиты от банков-партнёров, оплата частями, чеки по 54-ФЗ и кешбэк с оборота. Заказы, подписки, доступы и клиенты - в одном кабинете. Их клиенты - онлайн-школы, эксперты и цифровые сервисы. Ищут Junior QA Engineer в продуктовую команду. Задачи: — Тестировать платёжные сценарии: карта, СБП, SberPay, T-Pay, рассрочки и оплата частями, подписки и рекуррентные списания, возвраты — Проверять чеки по 54-ФЗ, суммы, скидки, промокоды и расчёт платежей по рассрочке — Составлять чек-листы и тест-кейсы по требованиям и макетам, проводить смоук и регресс перед релизами — Тестировать REST API в Postman: коды ответов, контракты, валидация, негативные сценарии, вебхуки о смене статуса платежа — Проверять вёрстку и поведение на разных браузерах и ширинах экрана, от 360 px — Заводить воспроизводимые баг-репорты с шагами, ожидаемым и фактическим результатом, логами и скриншотами — Участвовать в разборе требований до разработки и задавать неудобные вопросы о граничных случаях — Разбирать обращения поддержки вместе с разработкой: воспроизводить, локализовать, проверять исправление Требования: — Теория тестирования: виды и уровни, классы эквивалентности, граничные значения, таблицы решений — Чек-листы, тест-кейсы и баг-репорты, которые воспроизводятся без автора рядом — Postman: запросы, переменные окружения, проверки через pm.test — HTTP и REST: методы, коды ответов, заголовки, JSON — DevTools: Network, Console, эмуляция устройств — Базовый SQL: SELECT, JOIN, WHERE, GROUP BY — Jira, YouTrack или аналог, Git на уровне пользователя — Внимательность к цифрам и грамотная письменная речь Будет плюсом: — Понимание, как устроены онлайн-платежи: эквайринг, статусы, 3-D Secure, возвраты, идемпотентность — Знакомство с 54-ФЗ и онлайн-кассами — Автотесты: Playwright, Cypress или pytest + requests — Swagger / OpenAPI, Charles или Proxyman — Тест-менеджмент: Qase, TestIT, Allure TestOps — Опыт тестирования мобильной вёрстки и Telegram-ботов — Публичные учебные проекты: коллекции Postman, тест-документация на GitHub Условия: — Молодая и амбициозная команда — реальный платёжный продукт с первого дня — Наставничество — Доступы к AI-сервисам — Обучение за счёт компании — Путь в автотесты, когда будете готовы Как проходит первоначальный отбор: — Отклик и короткое знакомство в чате — Анкетирование и скрининг с рекрутером - 20–30 минут: опыт, мотивация, базовая теория

Задачи: — Проектирование и разработка REST API для взаимодействия игры и веб-клиента с сервером. — Создание и оптимизация баз данных (хранение игровых сессий, инвентаря, предметов и баланса). — Реализация логики авторизации пользователей и обработки игровых транзакций. — Контейнеризация и базовая настройка сервисов в Docker. Требования: — Уверенное владение Python 3.x и базовое понимание асинхронности (asyncio). — Знакомство с одним из веб-фреймворков: FastAPI или Django. — Понимание реляционных баз данных. — Навыки работы с Git и понимание архитектуры REST API. — Наличие любых собственных пет-проектов на GitHub (боты, парсеры, мини-сервисы) будет большим плюсом. Условия: — Оплата 700 - 1400$ с прямыми переводами на карту раз в месяц. — Официальное оформление. — Гибкий график (можно комфортно совмещать с учебой). — Реальный коммерческий продакшн без лишней бюрократии. Архитектуру курирует опытный Senior-разработчик: гарантируем плотное наставничество, регулярное код-ревью и быстрый профессиональный рост.

Location: Berlin ROLE HIGHLIGHTS: - Senior MLOps Engineer, ISR - Location: Berlin, Germany - Department: ISR Analytics - Reports to: VP of ISR Analytics - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: ICEYE's Intelligence, Surveillance and Reconnaissance (ISR) AI team builds models that turn satellite imagery into intelligence for defense customers. Your job is to work with data scientists to build sustainable infrastructure, workflows, and deployment practices for the AI models, both in the cloud and for on-premise systems. You sit with the AI team and work with them to build the infrastructure they train, evaluate and ship on. Like our platform work, every environment is temporary and must be reproducible from code; a model is only done when it runs, monitored, on hardware we don't control.   WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.   ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.   ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.   Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES   - Build training, evaluation and packaging pipelines that take a model from experiment to versioned, deployable release. - Deploy and serve models on Kubernetes with GPUs, in the cloud and on-prem, including air-gapped sites. - Package models, weights and dependencies so they install and upgrade offline. - Manage GPU compute: scheduling, drivers, utilization and cost, across cloud and on-prem hardware. - Track data, experiments and model lineage, so any result can be reproduced and audited. - Monitor models in production for performance, drift and failures, without relying on outside connectivity. - Write tooling in Python that the AI team uses every day, and work in the model codebase alongside them.   WHAT WE’RE LOOKING FOR Must haves: - Senior hands-on engineer (not an engineering manager or architect role). - Proven experience deploying ML models to production and running them there, not only training them. - Strong Python, and comfort reading and changing ML code (PyTorch or similar). - Hands-on Kubernetes and containers, including GPU workloads. - Infrastructure as code and CI/CD for ML (for example Terraform, Helm, GitHub Actions). - Daily use of AI tools in engineering work, beyond chat: generating and reviewing code, configuration and tests. - High autonomy: you find problems, propose fixes and drive them through. - Motivation to work in new defense: building technology used by defense forces.   Nice to haves: - Deployed models to on-prem, edge or air-gapped environments. - Model serving and optimization: Triton, TorchServe, KServe, ONNX, TensorRT, quantization. - Computer vision or geospatial data (satellite, SAR, raster, PostGIS). - ML pipeline and tracking tools such as MLflow, Kubeflow, Argo Workflows, DVC or Weights & Biases. - Large-scale data processing for imagery (Dask, Ray, Spark, object storage). - Strong IC track record in a startup or a fast-changing company launching new products. - Clear communicator who works well with researchers and experienced engineers.   WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.   OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Задачи: — Проектирование и реализация backend-логики платформы — Разработка и документирование REST API для фронтенда — Разработка интерфейса веб-приложения, взаимодействие с REST API бэкенда — Автоматизация бизнес-процессов и авторизация пользователей — Организация централизованного хранения артефактов (файлы, документы) — Интеграция с Яндекс.Метрикой — Поддержка многопользовательских сценариев (гибкое управление ролями, кампаниями) — Участие в проектировании архитектуры платформы и UI/UX, коммуникация с дизайнерами (Figma) — Кроссбраузерная верстка, адаптация под различные устройства — Разработка системы отчётности и визуализации метрик — Тестирование и отладка фронта — Опыт работы с CI/CD (GitLab CI / GitHub Actions) Требования: — Опыт коммерческой разработки от 3 лет, уверенный опыт full-stack разработки — Опыт backend-разработки на Python — Знания SQL, опыт работы с PostgreSQL — Навыки проектирования REST API — Знание современного Vue — Опыт интеграции с backend через REST API — Опыт адаптивной и кроссбраузерной верстки — Навыки работы с системами контроля версий Git — Умение работать с Figma — Опыт ревью кода и написания тестов (включая unit-тесты) — Ответственность, самостоятельность, внимание к безопасности и качеству кода — Аккуратность, умение работать как самостоятельно, так и в команде

Location: Berlin Office; Bosnia; Romania; Norway; Estonia; Latvia; Slovenia; Italy; Netherlands; Hungary; Portugal; France; Poland; Serbia; Germany; Austria; Finland; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. Your main goal will be to empower n8n enterprise users to treat automation as software, enabling them to develop, deploy, and scale mission-critical workflows with absolute confidence. To do so, you’ll own product strategy and execution for n8n’s Enterprise team, focused on application lifecycle management, developer tools, and production-grade workflow operations: WORKFLOW LIFECYCLE MANAGEMENT - Define how teams move workflows from development to production with clear environment separation and promotion paths. - Shape capabilities for workflow version history, rollback, branching, and conflict resolution. - Build product experiences that help engineering teams safely manage changes across mission-critical automations. ENTERPRISE DEVELOPER EXPERIENCE - Own Git-based source control workflows that make n8n fit naturally into modern software development practices. - Work closely with Engineering and Design to deliver powerful yet intuitive tools for technical teams. - Translate complex developer workflows into product experiences that feel reliable, scalable, and easy to adopt. PRODUCTION OPERATIONS AND OBSERVABILITY - Build visibility into workflow performance, usage, and reliability across environments and instances. - Define how enterprise teams manage external secrets, variables, and configuration across deployments. - Help customers operate n8n at scale through multi-instance management and cross-instance visibility. PRODUCT DISCOVERY AND CROSS-FUNCTIONAL LEADERSHIP - Deeply engage with enterprise customers, engineering leaders, admins, and developers to understand their software delivery needs. - Prioritize ruthlessly across technical depth, usability, enterprise readiness, and long-term platform leverage. - Align Engineering, Design, Sales, Solutions Engineering, Customer Success, and leadership through clear strategy, specs, and communication. REQUIREMENTS MUST-HAVES - Proven product management experience: You’ve shipped complex technical products in enterprise environments and can point to lessons learned that shaped your craft. - Strong developer empathy: You understand how engineering teams build, test, version, deploy, and operate software in production. - Thrive in ambiguity: You bring structure to fuzzy technical problems and prioritize clearly across many possible directions. - Exceptional product sense: You anticipate edge cases, second-order effects, and enterprise-grade reliability needs without needing perfect information. - Ownership and bias for action: You fix what’s broken, ship, learn, and iterate rather than over-plan. - Influence without authority: You align engineering, design, data, sales, solutions engineering, customer success, and docs through clarity and trust. - Technical product judgment: You’re comfortable making tradeoffs across usability, scalability, security, reliability, and implementation complexity. NICE-TO-HAVES - Git and source control experience: You’ve worked on or closely with products involving Git, branching, versioning, pull requests, or conflict resolution. - Enterprise security experience: You understand secrets management, environment variables, access control, or secure configuration patterns. - Observability experience: You’ve worked on products involving monitoring, usage insights, performance visibility, or operational dashboards. - Coding or SQL skills: You can code, write SQL, or go deep enough technically to partner effectively with engineers on architecture-level discussions. - Remote work experience: You’re familiar with remote-first work environments and can collaborate effectively across time zones. - Entrepreneurial or early-stage experience: You’ve worn many hats and can navigate in many areas at once. Why join us? At n8n, your work won’t disappear into a slide deck. You’ll shape how engineering teams build, version, deploy, and operate mission-critical automations at scale — turning n8n into the platform where automation is treated with the same rigor as software. You’ll join a fast-growing, remote-first team with high autonomy, strong technical ambition, and direct visibility into enterprise customer impact. Sound like a challenge you’re excited to take on? Apply now — and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Bengaluru, India As a Tech Lead, you will guide a squad of engineers in delivering Java microservices on AWS, balancing hands-on technical contribution with team leadership responsibilities. You will own the quality and integrity of your squad's deliverables, drive implementation against architecture guidance, and ensure engineering standards are met on every release. You will work closely with the Technical Architect and Delivery Manager to plan, estimate, and ship working software on a predictable cadence. This position is intended for Hyderabad-based candidates who are available to work from the office. DataArt's team is assisting a client part of one of the largest investment management organizations in the world in migrating their existing services and applications to AWS, as well as developing new greenfield platforms. The engagement covers full-platform modernization: decomposing a monolithic Azure-based legacy system into cloud-native Java microservices and building new institutional client-facing solutions. By participating in this project, you will lead a delivery squad working at the core of a high-impact, large-scale migration. Design and implement Java microservices following DDD principles aggregate roots, bounded contexts, domain events published to the enterprise event bus. Implement CQRS read/write separation: Hibernate ORM write path, GraphQL composition and ORM-based REST GET DTOs for reads. Implement and maintain database schemas with Flyway migrations on Aurora PostgreSQL; ensure schema changes include corresponding history-table updates. Integrate AWS security patterns: RDS IAM database authentication, Secrets Manager, KMS at-rest encryption, TLS in-transit configuration. Implement authentication flows using Azure B2C and/or AWS Cognito (OIDC / JWT) for multiple user personas. Collaborate with cross-functional teams to define, design, and ship new features; translate architecture decisions into actionable engineering tasks. Own CI/CD pipeline health: GitHub Actions reusable workflows, semantic versioning, ECR push, EKS deployment, automated test gates. Identify and address performance bottlenecks, scalability issues, and bugs; lead root cause analysis on production incidents. Write clean, well-documented, maintainable code and ensure the squad does the same. Participate in sprint ceremonies under Agile SDLC; contribute to backlog refinement and estimation. Stay current with industry trends — including AI tooling — to keep the squad's approach modern and competitive. 10+ years of professional experience in Java development, with at least 3 years in a tech lead or senior lead role. Strong understanding of microservices architecture, DDD, and cloud-native design principles. Excellent knowledge of Java (21+), Micronaut or Spring Boot, Hibernate / JPA, MyBatis, Gradle, and Git. Hands-on experience with Aurora PostgreSQL or equivalent RDBMS: schema design, Flyway migrations, connection pooling (HikariCP). Experience with AWS platform services: EKS, RDS, IAM, Secrets Manager, ECR, CloudWatch. Familiarity with identity platforms: Azure B2C and/or AWS Cognito — OIDC/JWT flows and JWT validation in a Micronaut or Spring Security context. Experience with Docker containerization and Kubernetes / Helm deployments. CI/CD experience with GitHub Actions or equivalent; understanding of GitOps practices (Argo CD). Experience with OpenAPI/Swagger for contract-driven API development. Understanding of pub/sub and event-driven messaging (Kafka, AWS SNS/SQS, Azure Service Bus, or equivalent). Strong understanding of relational database design and query optimization. Experience with code quality tooling: linters, formatters, coverage gates in CI. Understanding of Agile SDLC, comfortable leading planning, refinement, and retrospective ceremonies. Team player with initiative and a results-oriented attitude; good sense for quality. Strong English communication skills; ability to bridge technical and product conversations. Excellent problem-solving skills and a proactive attitude. Experience in the finance or investment management industry AWS certification such as Developer or Solutions Architect Hands on experience with Terraform for AWS EKS, RDS, and IAM infrastructure Experience with Azure Service Bus and hybrid Azure to AWS event bridge patterns Experience with GraphQL schema design and DataLoader batching for N+1 prevention Experience with Kong API Gateway including route configuration and OIDC plugin integration Experience with the Micronaut GraphQL module Experience with Aurora PostgreSQL temporal and history table patterns

Основные требования: — Продвинутые знания в области Kubernetes, включая глубокое понимание жизненного цикла модуля, развертываний, служб, автоматического масштабирования и устранения неполадок, а также практический опыт работы с GKE — Опыт работы с Python, включая автоматизацию, написание сценариев и навыки работы с инфраструктурой — Опыт работы с наблюдаемостью, мониторингом, протоколированием, трассировкой и сравнительным анализом производительности — Практический опыт работы с сервисами GCP, включая GKE, GCS и облачный мониторинг / ведение журнала — Опыт работы с MLOps, включая развертывание и эксплуатацию моделей ML, работу с vLLM или аналогичными платформами и управление рабочими нагрузками на GPU в Kubernetes — Глубокое понимание автомасштабирования с помощью HPA, Metrics Server и базовые знания Cluster Autoscaler — Опыт проектирования и поддержки конвейеров CI/CD с использованием GitHub Actions — Отличные навыки работы с Python для автоматизации, написания сценариев и инфраструктурных задач Чем предстоит заниматься: — Предоставлять согласованные показатели производительности в масштабах всей платформы для всех рабочих нагрузок и команд, выполняющих логический вывод, обеспечивая четкое представление об эффективности системы и узких местах — Проводить стандартизированный межоблачный сравнительный анализ между основными поставщиками Kubernetes для обеспечения надежного сравнения производительности — Поддерживать отчетность руководства с помощью ежемесячных результатов работы в облаке, которые позволяют получать точную информацию и принимать решения на основе данных — Позволять командам проверять новые функции, включая автоматическое масштабирование, планирование, хранение, выделение ресурсов для узлов, оптимизацию vLLM и поддержку ускорителей, используя унифицированные платформы бенчмаркинга, согласованные с OKR организации — Расширять платформу бенчмаркинга, чтобы учесть задержки при запуске и особенности масштабирования для нескольких семейств моделей и конфигураций оборудования — Интегрировать автоматизированные API-интерфейсы бенчмаркинга, информационные панели и конвейеры создания отчетов для упрощения оценки производительности — Сотрудничать с инженерными группами для поддержки повторно используемых компонентов логического вывода, обеспечивая при этом точное планирование, подготовку инфраструктуры и отчетность Что мы предлагаем: — Возможности профессионального и карьерного роста — Поддержка в получении профессиональных сертификатов — Программа наставничества — Медицинская страховка — Участие в корпоративных мероприятиях — Гибкие форматы работы (гибридная/удаленная) — Оплачиваемые отпуска и больничные

Задачи: — Участвовать в миграции проекта с Vue 2 на Vue 3 — Разрабатывать новый и поддерживать существующий функционал продукта Ида.Лайт — Проектировать архитектуру клиентской части приложения совместно с командой — Взаимодействовать с бэкенд-разработчиками, дизайнерами и менеджерами для создания лучшего пользовательского опыта — Писать чистый, масштабируемый и поддерживаемый код Требования: — От 3 лет коммерческой разработки: React или Vue — Опыт работы с REST API и GraphQL — Опыт со сборщиками (Vite или Webpack) — настройка, оптимизация — Опыт работы с git, code review, командной разработки — Способность к декомпозиции задач и оценке сроков Будет плюсом: — Опыт миграции проектов с Vue 2 на Vue 3 — Опыт работы с Nuxt 2 / 3 — Опыт менторинга junior-разработчиков — Опыт настройки CI/CD (GitLab CI, GitHub Actions и т. п.) — Опыт тестирования (Vitest / Jest, Playwright / Cypress) — Опыт с Docker на уровне разработчика — Понимание Core Web Vitals и навыки оптимизации производительности — Опыт работы с Design System / UI-китами Условия: — Полная занятость — График: 5/2 — Формат работы: на месте работодателя или гибрид

Задачи: — Разрабатывать и совершенствовать AI-инструменты, агенты и рабочие процессы, повышающие эффективность и качество работы QA-команды. — Определять повторяющиеся или значимые QA-активности и превращать их в масштабируемые AI-решения. — Создавать интеграции между AI-возможностями и системами тестирования, инженерии и внутренними системами. — Определять технические стандарты и лучшие практики для AI-решений в QA, включая промпты, контекст, инструменты, рабочие процессы агентов и процессы с участием человека. — Разрабатывать механизмы оценки AI-выходных данных, измерения качества и обнаружения регрессий. — Контролировать и улучшать надежность, производительность и стоимость AI-решений. — Быть техническим центром компетенций по AI в QA-команде, способствовать внедрению, обмену знаниями и экспериментам. — Тесно сотрудничать с QA-инженерами и инженерными командами для превращения реальных задач в практические решения. Требования: — Опыт работы 5+ лет в области Software Quality Engineering, Test Automation или Software Engineering. — Опыт работы с фреймворками автоматизации тестирования, такими как Playwright, Cypress или аналогичными. — Навыки программирования на JavaScript/TypeScript или Python. — Практический опыт создания AI-инструментов, приложений, рабочих процессов или агентов с использованием LLM. — Понимание агентных рабочих процессов, prompt и context engineering, tool calling, MCP и интеграций API. — Опыт превращения экспериментальных решений в надежные и поддерживаемые инженерные продукты. — Знания основ QA, включая дизайн тестов, регрессионное и исследовательское тестирование. — Опыт работы с API, базами данных и распределенными системами. — Опыт работы с CI/CD системами, такими как GitHub Actions, Jenkins или аналогичными. — Сильные навыки решения проблем и способность самостоятельно вести технические инициативы. Будет плюсом: — Опыт оценки выходных данных LLM или агентов и измерения качества AI-решений. — Опыт создания внутренних платформ для разработчиков, инженеров или QA. — Опыт работы с системами наблюдаемости и распределенными системами. — Опыт интеграции AI с инструментами, такими как GitHub, Jira, Confluence или CI/CD платформами. — Опыт работы с Kubernetes или облачной инфраструктурой. — Опыт в AdTech или программной рекламе. Условия: — Поддержка от HR-команды. — 20 дней оплачиваемого отпуска. — Оплата членства в Multisport. — Медицинская страховка. — Конкурентная компенсация, отражающая вклад и усилия сотрудника.

Задачи: — Проектировать, создавать и внедрять модели машинного обучения для прогнозирования ключевых бизнес-показателей, таких как отток, расширение, конверсия и вовлеченность клиентов. — Разрабатывать и поддерживать масштабируемые ML-пайплайны для непрерывного приема данных, переобучения моделей, проверки производительности и предоставления предсказаний в продакшене. — Работать с большими структурированными и неструктурированными данными, применяя современные методы машинного обучения и большие языковые модели (LLM), если они приносят измеримую бизнес-ценность. — Мониторить модели в продакшене, улучшать их производительность со временем, обеспечивать надежность через тестирование, валидацию и непрерывную итерацию. — Сотрудничать с инженерами данных, менеджерами продуктов и бизнес-стейкхолдерами для создания ML-решений, решающих реальные задачи клиентов и бизнеса. — Владеть ML-решениями на всех этапах — от определения проблемы и экспериментов до внедрения в продакшен, мониторинга и оптимизации. Требования: — 3–5 лет профессионального опыта в области машинного обучения, прикладного машинного обучения, науки о данных или смежных областях. — Степень бакалавра в области компьютерных наук, математики, статистики, инженерии или другой количественной дисциплины. — Магистратура или PhD приветствуются, но не обязательны. — Глубокое понимание методов машинного обучения и статистического моделирования, включая регрессию, классификацию, анализ выживаемости, причинно-следственный анализ, uplift-моделирование и другие. — Опыт разработки моделей на больших реальных данных, включая инженеринг признаков, валидацию моделей и работу с несовершенными данными. — Опыт работы с неструктурированными данными с использованием эмбеддингов, дообучения, векторных представлений и современных NLP-техник. — Сильные навыки программирования на Python с опытом создания программного обеспечения промышленного уровня. — Уверенные навыки SQL и опыт работы с облачными хранилищами данных (предпочтительно Snowflake). — Опыт развертывания, обслуживания и мониторинга моделей машинного обучения в продакшене. — Знание дизайна экспериментов, A/B тестирования или причинно-следственного анализа будет плюсом. — Опыт работы с инструментами оркестрации рабочих процессов, такими как Airflow, dbt или аналогичными, приветствуется. — Умение использовать AI-инструменты для разработки, например Claude Code, Cursor, GitHub Copilot и др. Условия: — Полная занятость. — Удаленная работа из Кракова, Польша. — Годовой базовый оклад от 98 000 до 146 000 евро. — Возможность получения бонусов, льгот и других стимулов, которые обсуждаются на этапе предложения. Дополнительно: — Работа в команде Enterprise Machine Learning, которая создает интеллектуальные системы для улучшения бизнес-решений. — Взаимодействие с продуктовой, инженерной и бизнес-командами. — Компания придерживается принципов равных возможностей и инклюзивности. — Использование AI и автоматизированных систем для оценки заявок в соответствии с законодательством. — Возможность получения разумных приспособлений для соискателей с инвалидностью.

Talablar: — Mobil ilovalarni ishlab chiqish boʻyicha tijoriy (tadbirkorlik/amaliy) tajriba; — Flutter / Dart texnologiyalarini mukammal bilish; — Git / GitHub / GitLab bilan ishlash tajribasi; — REST API bilan integratsiya qilish tajribasi; — JSON va API-hujjatlari bilan ishlay olish koʻnikmasi; — Xatoliklarni qidirish (debugging) va ilova unumdorligini optimallashtirish koʻnikmalari.

Responsibilities: — Collaborate regularly with Digital Marketing, Brand and Visuals, and IS teams to discuss project requirements and make technical recommendations. — Write efficient code and maintain custom donation forms, advocacy forms, other webpages, and email templates. — Incorporate best practices for user experience, accessibility, page speed optimization, and GDPR compliance implementation. — Adhere to global regulations and standards, regional data compliance, and security compliance. — Use AI-assisted development tools and agentic coding assistants to accelerate coding, refactoring, debugging, testing, and documentation. — Proactively identify opportunities for AI-assisted and agent-built solutions and own ongoing maintenance, monitor performance, and update or retire as needed. — Follow established guardrails and usage standards for AI tools and apply human-in-the-loop review to all AI-generated code and configurations, validating output for accuracy, security, accessibility, and brand/technical standards before deployment. — Follow quality assurance procedures and troubleshoot technical issues affecting donation forms, advocacy forms, webpages, and email templates in Engaging Networks. — Work closely with vendor partners. — Work with the Information Security team to ensure digital properties meet security standards, including managing script inventory, attestation, and PCI compliance requirements. — Collaborate with the testing team to gather testing requirements and implement new features to run A/B and multivariate tests on forms. — Create and maintain clear and concise documentation of custom web development, support guides, and incident reports. — Perform other duties as assigned. Qualifications and Requirements: — Bachelor's degree in computer programming, web development, or related field, or equivalent work experience required. — Minimum of four (4) years of experience in front-end web development and developing custom websites required. — Demonstrated experience with Engaging Networks or other eCRMs. — Proficient in HTML5, Sass and CSS, JavaScript, PHP, MySQL, GitHub, Engaging Networks modules, Webpack, Node, npm, core AWS services, and Mailgun. — Familiar with Segment or other CDPs. — Direct experience with AI coding assistants and agentic development tools such as Microsoft Copilot Studio, Claude Code, and GitHub Copilot. — Knowledge of best practices for responsive, mobile-first web design, UX, accessibility, page speed optimization, browser support, and GDPR compliance. — Familiar with cookie consent tools, preferably Iubenda, for configuring compliance settings. — Experience building interactive data visualizations that translate campaigns into compelling stories for supporters to increase engagement. — Excellent attention to detail when coding projects based on Adobe XD files or Figma. — Understanding of digital marketing strategies for US and international audiences. — Stays on top of AI trends in web development, including personalization and workflow automation, and their responsible application to fundraising and advocacy technology. — Strong written and verbal communication skills. — Ability to multi-task in a fast-paced, collaborative environment to deliver high quality work on deadline. — Familiarity with Jira and Confluence a plus. — Data informed problem solver with experience with A/B testing platforms and Google Analytics. — Proactive and able to work both independently and as an effective team member. — Interest in animal protection issues preferred. Conditions: — Full-time remote position based in the United States. — Candidates must be able to accommodate Eastern Time hours as needed.