Разработка вакансии

Требования: - Python 3 - FastAPI или Django/Flask - Опыт работы с Git Обязанности: - Разработка веб-приложений на Python - Работа с REST API - Взаимодействие с базами данных - Подключение сторонних сервисов - Написание чистого кода и тестирование Условия: - Удаленная работа - График 5/2 с 10:00 до 18:00 - Agile/SCRUM для постановки задач - Участие в интересных проектах - Индивидуальное обсуждение заработной платы

Location: Saint Petersburg Workplace: remote CSM St. Petersburg is looking for self-motivated and skilled seafarers to join our expanding fleet of Columbia Shipmanagement. JOB DESCRIPTION & QUALIFICATIONS   Responsible for the proper operation and maintenance of the engine room and other machinery equipment. Assist the Chief Engineer in managing daily engine room operations Supervise maintenance and repair of main engine, auxiliaries, and machinery Plan and execute preventive maintenance schedules Monitor fuel, lube oil, and machinery performance Lead engine room watchkeeping and manage engine crew Ensure safety, pollution prevention, and compliance with regulations   Holder of a valid COC (STCW Reg III/2) with verification. Holder of valid STCW certifications required for the position. Experience in repairs and dry docking is required Experience with a multicultural working environment. Good communication and leadership skills. Effective English communication Safety culture and mindset.   VESSEL'S SPECIFIC REQUIREMENTS   Minimum experience requirements: 8 months in rank with the same type/size of vessel. Experience in Steam Turbines cargo pump system is recommended. Experience with Crude Oil and STS cargo operations. Experience in trading area USA and Australia is recommended.   CONTRACT TERMS & CONDITIONS   Contract Duration [4 months +/- 1 month] Contract Benefit: competitive salary Terms and condition as per CBA applicable Rejoining Bonus Free Internet onboard and wellbeing support   You may include with your application any reference, specific job qualification, and your availability date. Looking forward to welcoming you in the Columbia Group Family.

Требования: - Среднее или высшее образование - Желание развиваться в IT - Готовность учиться и совершенствоваться Обязанности: - Работа с продуктами 1С - Общение с клиентами - Подготовка к сертификации Условия: - Обучение за счет компании - Дружный коллектив специалистов - Возможность удаленной работы

Location: New York ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for a Growth Engineer to own the technical foundation of Modal’s marketing and developer-facing web surfaces: the marketing site, docs site, growth landing pages, high-profile microsites, forms, analytics instrumentation, and the integrations that help users discover, understand, and get started with Modal. This is a frontend-heavy role for someone with strong product taste, web engineering craft, and a business-owner mindset. You’ll partner with Product Engineering, Design, Data, and Growth to ship polished, measurable web experiences, from high-profile projects like the GPU Glossary https://modal.com/gpu-glossary and LLM Engine Advisor https://modal.com/llm-almanac/advisor to internal tooling that helps teams publish content faster. When this role is going well, Modal launches new pages, docs experiences, campaigns, and experiments quickly without sacrificing performance, craft, or measurement. WHAT YOU’LL WORK ON: - Own and evolve Modal’s marketing site, docs site, and technical web experiences as high-quality engineering systems, not static content - Build bespoke interactive projects with engineers, turning deep technical work into useful web experiences for developers and agents - Instrument all public-facing content, all the way from human-facing marketing pages to agent-targeted, self-improving documentation - Improve internal publishing flows so more teams can ship quality content quickly while keeping the site maintainable YOU MAY BE A FIT IF: - You’ve built and shipped modern web applications end-to-end - You have experience with agentic development flows where agents consume marketing content and docs to help developers build on Modal - You can build polished, responsive web experiences without needing every detail specified - You have a business-owner mindset and strong data intuition: you think about conversion, activation, developer trust, speed of launch, and quality of measurement, and the tradeoffs inherent to each - You’re excited about developer-facing AI infrastructure and building web experiences that feel credible to engineers - You’re able to work in person in our NYC office We care more about what you’ve built than years of experience. NICE-TO-HAVE: - Deep knowledge of SEO, AEO, structured content, or agentic discoverability - Experience with marketing sites, docs sites, or product-led-growth surfaces at a devtools, infra, or AI company - Familiarity with our stack: Svelte/SvelteKit, TypeScript, Tailwind, Vite, MDX/SVX content systems, headless CMS (Sanity), Playwright/Vitest - Familiarity with our integrations: Segment, Snowflake, PostHog, Sentry, Algolia/DocSearch, Fillout, Pylon, Ashby - Experience designing growth experiments, A/B tests, or funnel instrumentation - A portfolio of polished sites, docs systems, interactive demos, or growth experiments

Location: Saint Petersburg Workplace: remote CSM St. Petersburg is looking for self-motivated and skilled seafarers to join our expanding fleet of Columbia Shipmanagement.   JOB DESCRIPTION & QUALIFICATION   Overall ship's command and responsibility to ensure safety of crew and environmental protection. Responsible for the compliance with the International regulations and company safe practices and policies. Holder of valid COC (STCW Reg II/2) with verification. Holder of valid STCW certifications required for the position. Good communication and leadership skills. Fluent in written and spoken English language. Safety culture and mindset. Experience with multicultural working environment.   VESSEL'S SPECIFIC REQUIREMENTS   Minimum experience requirements: 4 months in Rank with the same type/size of vessel. Experience onboard same vessel tonnage is mandatory. Experience in Steam Turbines cargo pump system is recommended. Experience with Crude Oil and STS cargo operations. Experience in trading area USA and Australia is recommended.       CONTRACT TERMS & CONDITIONS   Contract Duration [4 months +/- 1 months] Contract Benefit: Competitive salary  Terms and condition as per CBA applicable Rejoining and Performance Bonus Free Internet onboard and wellbeing support   You may include with your application any reference, specific job qualification, and your availability date. Looking forward to welcoming you in the Columbia Group Family.

Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Warsaw, Poland JetBrains creates professional tools that make developers more productive and help them focus on what matters. Our websites and web services are a core part of the JetBrains ecosystem. They connect us with users worldwide, power product distribution, support learning, and enable feedback loops at scale. We are currently looking for a Software Developer to join our Web Development team . The ideal candidate will be someone who can take ownership of services end-to-end, from architecture and implementation to deployment and long-term support. In this role, you will: Design and develop internal company-wide web applications and services. Participate in the creation of solution architecture, from selecting approaches to decomposing services and defining their interactions. Build and maintain services running in AWS and Kubernetes-based environments. Develop tools and platforms for localization workflows and integrate them with third-party systems. Improve the reliability, scalability, and observability of our systems. Collaborate with other teams to evolve shared infrastructure and internal platforms. We’ll be happy to have you on our team if you have: Strong  3- 5 years experience in backend web development using Kotlin or Java. Experience with Node.js. A solid understanding of modern backend frameworks (e.g. Ktor and Spring). Experience designing and building production-grade systems. An understanding of distributed-system fundamentals (e.g. networking, fault tolerance, and scalability). Experience working with cloud environments (AWS or similar). Familiarity with containerization and orchestration. The ability to write clean, maintainable, and well-structured code. A willingness to take ownership of systems in production (including by offering support and assisting with continuous improvement). Good communication skills and a collaborative mindset. We would be especially thrilled if you have: Experience with infrastructure as code (e.g. Terraform). Experience with CI/CD pipelines and deployment automation. Experience with observability tools (e.g. metrics, logging, and tracing). Practical experience using AI tools or agents in development workflows. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. We help make your move as smooth and stress-free as possible. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-MP1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Требования: - Уверенные базовые знания Go - Понимание RestAPI и gRPC - Опыт написания серверов на Go - Минимальные знания SQL - Представление о базах данных - Работа с Git - Понимание клиент-серверного взаимодействия - Желание учиться и развиваться Обязанности: - Разработка веб-приложений на Golang - Работа с RestAPI и gRPC - Взаимодействие с базами данных - Подключение сторонних сервисов - Написание чистого кода и тестирование Условия: - Удаленная работа - График 5/2 с 10:00 до 18:00 - Agile/SCRUM для постановки задач - Участие в интересных проектах - Индивидуальное обсуждение заработной платы

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore 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 The Compliance team's primary objective is to ensure that OKX operates in accordance with regulatory requirements while maintaining the highest ethical and moral standards. The team owns the full compliance engineering stack: KYC onboarding and refresh, sanctions / PEP / adverse-media screening, transaction monitoring (TM) and travel-rule enforcement, case management, and regulatory reporting. We achieve this by developing compliance service solutions, integrating with KYC & AML vendors, and enabling robust business growth, which ultimately strengthens user trust in our platform. Our ultimate goal is to create a culture of compliance excellence, where innovation and responsible business practices are seamlessly integrated. In compliance, a system that is mostly right is wrong — so every control we build must be deterministic in its enforcement, complete in its coverage, and explainable in its outcome. What You’ll Be Doing Formulate, select, and develop technical schemes for platform projects across the compliance domain — KYC onboarding flows, identity verification and refresh, sanctions / PEP / adverse-media screening, transaction monitoring, travel-rule, case management, and regulatory reporting — including AI/ML-powered features such as intelligent screening disambiguation, document verification, anomaly detection, automated risk scoring, and analyst-assist agents. Organize and coordinate resources, leading project research and development, troubleshoot problems, and ensure quality and timely completion — including delivery of AI model integration work within KYC, screening, and monitoring workflows. Facilitate cross-team communication and promote teamwork efficiency through code quality control and collaboration, including partnering with Data Science, Risk, and Legal to productionize models and ensure reliable, auditable inference infrastructure. Define where probabilistic AI is appropriate versus where deterministic logic is mandatory — and design the boundary cleanly so models assist without compromising auditability or enforcement integrity. Undertake team tasks and cultivate technical talents in the industry, with a focus on building AI engineering best practices across the compliance engineering team — patterns for agentic coding, prompt libraries, eval suites, and human-in-the-loop review of AI-generated work in a regulated environment. What We Look For In You A compliance-first systems mindset — you instinctively reach for state machines, idempotency keys, exactly-once semantics, reconciliation jobs and immutable audit logs. You understand that in compliance, false negatives cost millions and false positives cost trust, and you design accordingly. Prior experience in KYC, AML, sanctions, fraud, or payments is a strong plus; experience surviving a regulatory audit is an even stronger plus. Daily, fluent use of modern AI coding tools — Claude Code, Cursor, GitHub Copilot, Codex CLI, or equivalents. You can describe the specific workflows you run, the failure modes you have hit, and the guardrails you have built around AI-generated code. AI fluency is required, not nice-to-have. Production experience integrating AI/ML model inference into Java services — REST/gRPC-based model serving, feature engineering pipelines, latency-sensitive inference optimization, graceful degradation, and drift / rollback playbooks. Hands-on experience with LLM application patterns — at least one of: RAG pipelines (vector store + retrieval + grounding) for policy / KYC / case lookup, agentic workflows (tool use, multi-step reasoning, validation loops) for analyst assistance, or LLM-based classification / extraction shipped to production. Discipline around AI output — you do not ship LLM features without evals, hallucination tests, prompt regression suites, and human-in-the-loop review for high-stakes decisions. You have an opinion on when to reach for a frontier model vs. a fine-tuned small model vs. a deterministic rule, and can defend that trade-off to a regulator. Exposure to LLM integration or AI agent frameworks is a strong plus — e.g. prompt engineering at the system level, RAG pipelines, or orchestrating AI workflows within a regulated environment. Good understanding of software engineering basics, distributed system principles, including CAP, consistency, idempotency, and exactly-once vs at-least-once semantics. Clear logic, quick thinking, and good communication skills — including the ability to write clearly for non-engineers (compliance officers, auditors, regulators). AI Proficiency Expectations & Interview Process AI fluency is a required engineering competency for this role, on the same level as ‘can write good Java’. We will assess it explicitly during the interview, and a strong showing here is a meaningful plus: AI-augmented workflow demo — walk us through how you use AI tools day-to-day. The prompts, the tasks you delegate to an agent vs. write yourself, how you review AI-generated diffs, and how you measure the impact (commit velocity, defect rate, test coverage). Concrete examples beat slogans. Live agentic exercise — a working session using the AI coding agent of your choice on a realistic compliance-flavoured problem. We look at how you scope, prompt, validate, and integrate AI output, not whether the agent gets it right first try. Design discussion with a probabilistic twist — expect at least one system-design question where the right answer involves deciding when not to use an LLM, and how to design the deterministic fallback. We hire engineers who can defend that boundary. Evaluation & guardrails — be ready to discuss an eval suite or guardrail you have built for an AI feature in production (e.g. an LLM-assisted SAR narrative drafting tool, an AI-assisted KYC document review step, or screening-hit disambiguation). If you have not shipped one, tell us how you would design it. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development — including budget for AI tools, courses, and conferences 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 .

Требования: - Знакомство с LLM-харнесом - Базовый код на Python / JS / TS - Опыт работы с Linux, Docker, git - Самостоятельность в выполнении задач - Английский на уровне чтения документации Обязанности: - Писать интеграции AI-агентов - Допиливать внутренние сервисы - Собирать лендинги и продуктовые страницы - Делать UI поверх AI-сервисов Условия: - Удаленная работа, гибкий график - Минимальная стажировка или стажировка с гарантией продолжения сотрудничества - Подписки на ведущие AI-инструменты за счет компании

Задачи: — Проектирование и реализация микросервисов с нуля. — Решение задач конкурентного доступа (race conditions, балансы, одновременные покупки). — Глубокая оптимизация PostgreSQL, работа со сложными запросами и уровнями изоляции. — Написание тестов всех уровней (Unit, Integration с Test containers, E2E). — Использование AI-ассистентов для ускорения рутины и критическая оценка их кода. Требования: — 5+ лет в бэкенде. — Глубокое понимание Event Loop, libuv, потоков и профилирования памяти. — Реальный опыт с NestJS (DI, Guards, Interceptors, Pipes, микросервисные транспорты). — Практическое понимание уровней изоляции транзакций в PostgreSQL. — Опыт работы с AI-инструментами Cursor, Copilot, Claude или ChatGPT. Будет плюсом: — Опыт в сферах Gaming, E-commerce, HFT или Fintech. — Работа с платежными сервисами и банковскими системами. Условия: — Стабильная оплата в USDT с привязкой к твердой валюте. — Долгосрочный и устойчивый проект с прозрачными целями. — Полностью удалённая работа из любой точки в часовом поясе GMT+3. — Минимум бюрократии, максимум инженерных вызовов и современных инструментов.

Задачи: • Разработка и развитие мобильной платформы на Kotlin Multiplatform • Проектирование архитектуры shared-слоя между Android/iOS • Техническое лидерство mobile-команды • Участие в принятии архитектурных решений • Проведение code review и развитие engineering culture • Взаимодействие с backend/product/design • Оптимизация производительности и scalability мобильных приложений • Участие в roadmap planning и technical decomposition • Развитие CI/CD и quality practices • Менторинг разработчиков Требования: • Kotlin / Android: 5+ лет коммерческой разработки, Kotlin, coroutines / Flow, Jetpack stack, Android SDK • Kotlin Multiplatform: коммерческий опыт KMP от 2 лет, production KMP, shared business logic, Ktor / SQLDelight / Serialization, интеграции KMP с iOS • Архитектура: Clean Architecture, modularization, MVVM / MVI, SOLID, DI (Koin/Dagger/Hilt) • Engineering Practices: code review, unit testing, CI/CD, Git flow, performance optimization • Leadership Requirements: опыт управления командой от 3-5 человек, опыт tech leadership, mentoring, декомпозиция задач, sprint planning Будет большим плюсом: • Опыт iOS development / Swift • Понимание iOS ecosystem • Опыт migration native → KMP • Опыт fintech / retail / enterprise products • Опыт realtime features • Аналитика / event systems • Firebase / push / deeplinks • Опыт работы с highload backend APIs

Location: Montreal; Canada; Serbia Workplace: remote ABOUT YOU We are looking for a Tech Lead to drive delivery and cross-team coordination for the Shop Builder DevX and AI team. You are the bridge between architecture and execution: you take the technical direction set by the Principal Engineer and turn it into a running, shipping team. You lead a squad of three engineers building the developer surface that Shop Builder is missing — MCP server, CLI, SDK, documentation pipeline, local dev environment, deploy and versioning path. You set the delivery cadence, remove blockers, coordinate inbound dependencies from payments, auth, live ops, and catalog, and own the quality of what ships. This is a hands-on role. You write production code, lead code reviews, and drive technical decisions within your domain. You also have the seniority and judgment to coordinate across teams and represent the team's work to engineering leadership. ABOUT US Xsolla is a global payments and commerce platform for the games industry, used by thousands of publishers to monetize, distribute, and operate their titles worldwide. Shop Builder is Xsolla's storefront platform — used by publishers and game developers to launch and operate game shops, from straightforward catalog and webshops to fully custom storefronts built headless on our backend. For more information, visit xsolla.com. The DevX and AI team owns the public APIs, documentation, and AI features that give developers — and AI agents — the full surface they need to customize and extend Shop Builder. This is a net-new team of seven, standing up to fill a real gap: no dedicated team has owned the developer surface end to end. That changes now. Responsibilities Drive the delivery of the Shop Builder developer surface: MCP server, CLI and local dev environment, public SDK, documentation pipeline, sandbox and preview environments, deploy and versioning path. Lead and mentor a team of three engineers — setting technical direction within the squad, running code reviews, and ensuring consistent engineering quality. Own cross-team coordination: identify and pull inbound API capabilities from payments, auth, live ops, and catalog teams; unblock dependencies; manage integration timelines. Actively contribute to implementation — you ship production code alongside the team, particularly on the most critical and complex components. Partner with the Principal Engineer to translate architecture decisions into sprint-level execution plans and realistic timelines. Collaborate with the PO on roadmap sequencing, scope decisions, and trade-offs between speed and correctness. Own the team's delivery rhythm: sprint planning, technical grooming, retrospectives, and status visibility to engineering and business leadership. Define and maintain the team's engineering standards: testing strategy, observability, deployment practices, and documentation quality. Act as the primary technical contact for integrations with headless partners and the MIT professional services team during early partner onboarding. Contribute to hiring by conducting technical interviews and defining what great looks like for the engineers joining this team. Qualifications & Skills 6+ years of professional software engineering experience, with at least 2 years in a tech lead, staff, or senior lead role driving delivery across a team. Strong proficiency in JavaScript/TypeScript and Node.js, with experience shipping production APIs, CLIs, or SDKs to external developers. Hands-on experience building CLI tools and developer-facing workflows: command design, config file formats, local dev loops, deploy commands, and error messages that actually help. Solid understanding of REST API design principles, SDK ergonomics, and what makes a developer experience work — you have strong opinions and can back them up. Practical familiarity with the Model Context Protocol (MCP) or agentic tool-use patterns: you understand how AI agents consume tool interfaces and what makes a tool reliable for an LLM. Experience coordinating across multiple engineering teams to ship features that depend on inbound capabilities you don't own. Proven ability to lead engineers: clear technical direction, raising the quality bar through reviews, developing other engineers' skills. Cloud-native experience: CI/CD pipelines, containerization (Docker/Kubernetes), and deployment automation on AWS or GCP. Strong communication skills — you translate technical complexity into clear status for leadership, and technical requirements into actionable work for your team. Nice to Have Experience in game tech, digital commerce, storefront platforms, or headless architecture. Background building React component libraries, design systems, or frontend platforms consumed by external developers. Experience building sandboxed execution environments for third-party code (custom blocks, extensions, plugins). Familiarity with LLM-generated code evaluation: assessing whether an AI-produced block, component, or layout is correct and safe to ship. Prior experience standing up a greenfield team from scratch and knowing what that demands. Exposure to documentation-as-code workflows and toolchains that publish to multiple surfaces from a single source of truth. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.   We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For this role, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/managing budgets/accessing funds Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: Montreal; Canada; Serbia Workplace: remote ABOUT YOU We are looking for a Principal Engineer to take architectural ownership of the agent-readable Shop Builder platform. This is the most senior individual contributor role on the DevX and AI team, and the decisions you make here — which surfaces to expose, which formats to support, which standards to set — will bind the platform for years. You are not a manager, but your influence is org-wide. You define how developers and AI agents interact with Shop Builder's foundational capabilities: UI as Data, custom blocks, themes, data binding, catalog, payments. You are the technical authority on what the platform exposes and how, and you are deeply hands-on with the hardest parts of that work.   ABOUT US Xsolla is a global payments and commerce platform for the games industry, used by thousands of publishers to monetize, distribute, and operate their titles worldwide. Shop Builder is Xsolla's storefront platform — used by publishers and game developers to launch and operate game shops, from straightforward catalog and webshops to fully custom storefronts built headless on our backend. For more information, visit xsolla.com. The DevX and AI team owns the public APIs, documentation, and AI features that give developers — and AI agents — the full surface they need to customize and extend Shop Builder. This is a net-new team of seven, standing up to fill a real gap: no dedicated team has owned the developer surface end to end. That changes now. Responsibilities Own the technical architecture of the agent-readable Shop Builder platform: which APIs to expose, in what shape, through which surfaces (REST, SDK, MCP, CLI). Define the interface contracts that LLMs and developers interact with — React component APIs, custom block schemas, theme tokens, data binding formats — and maintain them with the rigor of a public API. Design and lead delivery of the MCP server that allows AI agents (Claude Code, Cursor, etc.) to build, deploy, and operate Shop Builder storefronts end-to-end without the editor in the loop. Architect the CLI and local development environment: how developers scaffold projects, iterate locally, preview changes, and push to production. Define the deploy, versioning, and rollback model for developer-published content — custom blocks, themes, and layouts. Design the sandbox and preview environment system so agents and developers can iterate without touching live partner sites. Set the documentation standard: written for LLMs and humans as first-class users, maintained from single canonical sources and published to every surface (CLI help, dev docs, MCP tool descriptions, AI context). Lead the eval harness architecture: how the team measures whether an LLM-generated block, theme, or layout is correct before it ships. Collaborate with Principal/Staff Engineers across payments, auth, live ops, and catalog to pull inbound capabilities into coherent developer-facing surfaces. Serve as the technical bar-raiser for the team: define code standards, review critical implementation decisions, and mentor the Tech Lead and engineers. Contribute to hiring and define the technical culture of the team from day one. Qualifications & Skills 10+ years of professional engineering experience, with a demonstrated track record as a Staff or Principal engineer who has shaped platforms, APIs, or developer tooling used by external builders. Deep expertise in designing and shipping public APIs and SDKs, including versioning strategy, backwards compatibility, and developer ergonomics — strong opinions about what makes an API delightful vs. painful. Expert-level proficiency in JavaScript/TypeScript and React — the primary interface language for LLMs and developers on this platform. Hands-on experience building CLI tooling and local developer workflows (scaffolding, hot reload, file-based config, deploy commands). Solid understanding of the Model Context Protocol (MCP) or equivalent agentic tool-use interfaces, and practical experience building tools that AI agents can reliably invoke. Experience building systems at global scale on cloud infrastructure (AWS or GCP), with deep knowledge of containerization, CI/CD, and infrastructure-as-code. Ability to write and reason about LLM-friendly documentation and API surfaces: you understand that token-efficiency, predictability, and schema clarity matter as much as human readability. Exceptional technical communication: clear RFCs and ADRs, productive architecture reviews, and the ability to explain second-order consequences to engineering and business leadership. Comfort operating in a greenfield context — you define the structure rather than inherit it. Nice to Have Prior experience in game tech, digital commerce, or storefront platforms — understanding the publisher/developer relationship and headless vs. hosted deployment patterns. Experience building platforms where AI agents are a first-class user: MCP servers, LLM tool registries, agent eval pipelines. Familiarity with Figma's plugin/component API, design token standards, and design-to-code pipelines. Contributions to open-source developer tooling, SDK frameworks, or API standards. Background in block or extension marketplace design: sandboxing third-party code, schema validation, publisher ecosystems. Published technical writing, conference talks, or influential community presence in developer tooling or AI-native development. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.   We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For this role, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/managing budgets/accessing funds Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Задачи: — Продуктизация ML-моделей и пайплайнов — Интеграция моделей в backend и бизнес-контуры — Разработка API и сервисов для ML — Работа со стримингом данных (Kafka) — Участие в RnD и пилотировании новых ML-решений Требования: — Опыт разработки на Python от 3–4 лет — Высшее образование (законченное) — Опыт работы с ML-проектами (CV, NLP, RAG) — Опыт разработки REST API (FastAPI / Flask) — Опыт работы с Kafka — Понимание микросервисной архитектуры и сетевого взаимодействия — Базовое понимание Kubernetes — Опыт работы с SQL на среднем уровне — Умение работать с кодом Data Science и адаптировать его под production Будет плюсом: — Опыт работы с Airflow — Опыт работы с Hadoop / Spark Условия: — ДМС со стоматологией — Компенсация фитнеса — Скидки на курсы английского (Skyeng) и в кино — Индексация зарплаты — Современная техника для работы — IT-аккредитация

Задачи: — Разработка desktop приложений на TypeScript + React (Electron / Tauri). — Работа с Node.js, WebSocket, стримингом и очередями. — Интеграция топовых AI-провайдеров и работа с локальным инференсом. — Создание функционала AI-агентов (tool calling, automation, sub-agents). — Интеграции с Telegram, Discord, Slack и WhatsApp. — Релизы, CI/CD и обеспечение качества продукта. Требования: — 2+ года коммерческого опыта с TypeScript, Node.js и React. — Реальный опыт работы с Electron или Tauri. — Уверенное владение WebSocket, Docker и GitHub Actions. — Активное использование AI-инструментов в работе. — Английский для чтения документации и рабочих задач. Будет плюсом: — Знание Python (FastAPI), MCP и опыт LLM-интеграций. — Опыт с Playwright или нативными API macOS/Windows. Условия: — Работа в офисах в Санкт-Петербурге и Москве. — 28 дней отпуска. — Компенсация профессионального обучения и курсов. — Гибкое начало рабочего дня. — Работа над передовым продуктом в сфере искусственного интеллекта. — Постоянный обмен опытом и возможность быстрого роста.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. Ramp is building an AI-native platform that changes how Go-to-Market and Product Growth teams create, launch, and improve customer-facing experiences. We are looking for a product-minded backend engineer to help build the infrastructure and services that power modern growth and marketing at Ramp. The next chapter for this team is to build marketing-led products: intelligent tools that turn strategy into execution, automate complex workflows, and help teams operate across channels with dramatically more leverage. The team will build across creative production, lifecycle marketing, paid media, account-based marketing, experimentation, incentives, and cross-channel orchestration. Examples include AI-powered systems that produce on-brand campaign assets, automate complex marketing workflows, coordinate audiences and execution, and deliver personalized experiences across email, sales outreach, external channels, and Ramp’s product. A core part of this mandate is Ramp’s incentives platform. We are building shared infrastructure to safely target, authorize, distribute, redeem, and measure incentives across channels and mediums—including in-app experiences tied to product adoption and growth goals. This requires combining marketer-friendly workflows with governed policies, budget controls, reliable financial operations, and closed-loop measurement. You will work at the intersection of product engineering, AI, data, marketing, and financial infrastructure. The ideal candidate is a product-minded backend engineer who can translate ambiguous workflows into durable systems. You will build the data models, APIs, integrations, and orchestration capabilities that allow marketers, product teams, and AI agents to safely execute complex work end to end. WHAT YOU’LL DO - Build the backend systems that power AI-native marketing and growth products across creative production, experimentation, incentives, and cross-channel orchestration. - Build shared incentives infrastructure for eligibility, targeting, policies, budgets, authorization, issuance, redemption, and outcome tracking. - Enable personalized content and offers across email, sales workflows, external channels, and in-product experiences using shared customer and campaign context. - Design reliable orchestration for long-running work, approvals, scheduling, retries, human intervention, and safe AI or financial execution. - Connect marketing actions and incentive spend to measurable activation, conversion, retention, and revenue outcomes. - Partner across Marketing, Product Growth, Product, Data Science, Finance, and GTM Platform to own systems from early discovery through production adoption and iteration. WHAT YOU NEED - 5+ years of software engineering experience building production backend systems, with strong proficiency in Python or another modern server-side language. - A track record of owning production services, APIs, data models, and distributed or event-driven workflows. - Strong product judgment and system-design fundamentals, including data modeling, asynchronous processing, reliability, testing, and observability. - Experience building governed systems involving permissions, policies, budgets, balances, entitlements, or financial actions. - Experience applying AI to real product workflows—or strong interest in doing so—with an understanding of where deterministic controls and human approval are required. - Excellent cross-functional communication and a bias toward rapidly shipping measurable user and business outcomes. NICE TO HAVES - Experience building incentive, rewards, promotion, loyalty, payments, ledger, or financial-authorization systems. - Experience building workflow engines, automation platforms, agent systems, or orchestration infrastructure. - Experience with lifecycle marketing, product growth, paid media, experimentation, CRM, or other marketing technology. - Experience designing human-in-the-loop AI systems, including approvals, evaluations, tool execution, and recovery. - Experience with customer-data platforms, identity systems, behavioral event streams, or analytical data infrastructure. - Experience building experimentation or attribution systems that connect interventions to customer and business outcomes. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE The Credit Engineering team builds the systems that enable Ramp to manage credit lifecycles for businesses end-to-end, from initial underwriting through ongoing portfolio strategy optimization. As an engineer on Credit, you’ll own systems that influence $100+ billion in annual payment volume through millions of decisions across our product stack in support of the most ambitious FinTech portfolio in the United States. We are looking for a backend engineer to own the technical roadmap for underwriting, limit management, portfolio optimization, and agentic workflows. You will build robust systems, automate complex operational tasks, and maintain the high-frequency controls that power all of Ramp’s products. If you are obsessed with correctness, excited by ambiguity, and passionate about problems at the intersection of distributed systems and financial strategy, this role is for you. WHAT YOU'LL DO - Architect scalable, stateful systems for automated limit management to optimize Ramp’s charge card portfolio. - Envision and build the next generation of agents and tools that automate manual credit decisions and increase operational efficiency. - Develop high-volume, low-latency risk controls to support Ramp’s expansion into new products, customer segments, and geographies. - Design and build real-time decisioning systems spanning the entirety of a business's credit lifecycle on Ramp. - Partner closely with analysts, data scientists, and product to translate risk strategies into reliable software. WHAT YOU NEED - 2+ years of backend engineering experience. - Proficiency in Python or a comparable backend language. - Experience working with distributed systems and async frameworks. - Proficiency with converting abstract business problems into robust data models and technical specs. - Experience building or operating systems with strict auditability, observability, and correctness guarantees. - High ownership mentality – you care deeply about the systems you build. - Ability to work closely with non-engineering partners (Risk Strategy, Ops, Sales) to create impact. NICE TO HAVES - Experience leveraging AI/LLMs for development or for internal workflows. - Interest in financial optimization problems. - Willingness to learn and move fast while holding the bar on correctness. - Defensive programming aptitude. - Experience using feature stores, rule engines, and ML platforms in production. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice