Наш клиент строит AI-native orchestration layer — продукт, который помогает пользователям делегировать рабочие задачи и управлять рутиной между разными сервисами. Снаружи это мобильное приложение. Внутри — долгосрочный контекст, интеграции, восстановление после сбоев, распределённая архитектура и много решений, которые должны работать не только в идеальном сценарии.
Задачи:
— Развивать backend-часть AI-native продукта на уровне архитектуры и ключевых технических решений
— Работать с распределёнными системами, интеграциями, отказоустойчивостью и сценариями, где продукт должен сохранять логику даже при неполных данных, сбоях внешних сервисов или нестандартном поведении пользователя
Требования:
— 10+ лет опыта с Java / Kotlin
— опыт с платформенными или инфраструктурными системами
— хорошее понимание распределённых систем
— опыт работы в стартапе и готовность брать ответственность за результат
— регулярная работа с AI-инструментами и агентами для разработки
— свободный английский
Условия:
— equity
— Формат: remote или релокация в UK
— Локация: Европа, GMT+1–GMT+2
— Занятость: full-time
Наш клиент строит AI-native orchestration layer — продукт, который помогает пользователям делегировать рабочие задачи и управлять рутиной между разными сервисами. Снаружи это мобильное приложение. Внутри — долгосрочный контекст, интеграции, восстановление после сбоев, распределённая архитектура и много решений, которые должны работать не только в идеальном сценарии.
Задачи:
— Развивать backend-часть AI-native продукта на уровне архитектуры и ключевых технических решений
— Работать с распределёнными системами, интеграциями, отказоустойчивостью и сценариями, где продукт должен сохранять логику даже при неполных данных, сбоях внешних сервисов или нестандартном поведении пользователя
Требования:
— 10+ лет опыта с Java / Kotlin
— опыт с платформенными или инфраструктурными системами
— хорошее понимание распределённых систем
— опыт работы в стартапе и готовность брать ответственность за результат
— регулярная работа с AI-инструментами и агентами для разработки
— свободный английский
Условия:
— equity
— Формат: remote или релокация в UK
— Локация: Европа, GMT+1–GMT+2
— Занятость: full-time
GTE is the world’s fastest decentralized trading venue, backed by GSR, IMC, Flow Traders, and other top-tier market makers and VCs. The company offers trading from anywhere in the world, 24/7, permissionless, with no brokerage account required. The team includes talent from Jump, Citadel, HRT, GSR, Google, Palantir.
Задачи:
— Design low-latency ingestion pipelines, ensuring message ordering, deduplication, and backpressure handling.
— Implement consensus-based failover and snapshotting for resilience and leader coordination.
— Manage memory layout, allocation strategy, and hot-path locality.
— Coordinate with infrastructure team to handle data persistence, cold storage, and historical reindexing.
Требования:
— Remarkable backend engineering experience in production environments in Rust or C++.
— Strong grasp of distributed systems design: log replication, failure recovery, snapshotting, consensus (Raft/Paxos).
— Deep familiarity with event-driven architectures: ordered delivery, deduplication, replay, state machines.
— Experience with high-throughput async systems such as tokio, epoll, io_uring.
— Proficient with memory-safe performance tuning: preallocation, arena allocators, cache-line alignment.
— Comfortable working close to the metal: Linux internals, syscall-level tuning, and debugging with perf.
Плюсом будет:
— Experience with Go in production environments.
— Prior work on crypto data indexers, block explorers, or DeFi.
— Knowledge of low-level blockchain primitives (e.g., Merkle proofs, EVM logs, calldata parsing).
— Contributions to open-source Rust or crypto infrastructure projects.
— Exposure to consensus layer mechanics or validator/network observability.
Условия:
— Remote work or office in NYC (relocation help may be provided in some cases).
— Salary 150-250k USD/year gross + tokens (up to 750k total compensation by current valuation).
УдалённоNew York
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Задачи:
— Участвовать в проектировании, реализации и поддержке высокочастотных off/on-chain систем для количественных исследований, симуляций и реальной торговли в масштабах.
— Сотрудничать с командой количественного управления рисками для перевода моделей, сигналов и гипотез в надежный и эффективный производственный код.
— Разрабатывать масштабируемые исследовательские платформы для сбора данных, вычисления признаков, мониторинга и бэктестинга на больших наборах данных и различных рынках.
— Оптимизировать производительность и надежность торговых и аналитических систем с учетом задержек, пропускной способности и стабильности.
— Создавать инструменты и библиотеки для ускорения исследовательских и off/on-chain мониторинговых рабочих процессов и обеспечения воспроизводимости между командами.
— Сотрудничать с другими инженерными командами для постоянного развития исследовательского и торгового стека компании.
Требования:
— Степень бакалавра, магистра или PhD в области компьютерных наук, инженерии, математики, физики или смежных технических областях.
— Сильные навыки программирования на C++, Rust или Python с чистым, поддерживаемым кодом и хорошими навыками отладки.
— Глубокое понимание структур данных, алгоритмов оптимизации и проектирования систем; опыт с распределенными системами, параллелизацией, управлением памятью или высокопроизводительными вычислениями будет плюсом.
— Опыт создания или поддержки количественных финансовых исследовательских фреймворков, больших данных или алгоритмических торговых систем.
— Практический опыт в одной или нескольких областях: микроструктура рынка, маркет-мейкинг, моделирование машинного обучения, моделирование/торговля деривативами, on-chain торговля и децентрализованная ликвидность.
— Страсть к работе в совместной, ориентированной на данные среде, где инженерия и математика движут открытием альфы.
Условия:
— Удаленная работа или офис в Нью-Йорке (возможна помощь с переездом в некоторых случаях).
— Зарплата 150-250 тыс. USD в год брутто + токены (до 750 тыс. USD общей компенсации по текущей оценке).
Задачи:
— Проектировать, реализовывать и оптимизировать API-стек и SDK, включая REST и websocket протоколы для торговли и данных в реальном времени.
— Разрабатывать компоненты с высокой производительностью для механизма сопоставления и логики шлюза.
— Совершенствовать спецификации API и улучшать показатели задержек в сотрудничестве с заинтересованными сторонами.
— Интегрировать компоненты биржи, такие как сопоставление, клиринг и состояние аккаунта, в единый интерфейс.
— Проводить тщательное бенчмаркинг, нагрузочное тестирование и измерение задержек.
— Поддерживать тестовые стенды, документацию по API и версионирование.
Требования:
— Обширный опыт с распределёнными бэкенд-системами и производительными API в реальном времени.
— Сильные навыки в Go, Rust, Python, Java или TypeScript.
— Экспертиза в паттернах проектирования API (OpenAPI, gRPC, REST, websockets) и лучших практиках аутентификации и ограничения скорости.
— Знание архитектур торговых систем, включая жизненный цикл ордеров и логику сопоставления.
— Умение отлаживать и проектировать в высоконагруженных конкурентных средах.
Плюсом будет:
— Опыт с Rust или Python в приложениях с чувствительностью к задержкам.
— Опыт создания шлюзов бирж, FIX-движков или торговых API.
— Знание моделей криптокошельков и ончейн ордеров.
— Опыт в HFT, количественной торговле или симуляционных средах.
— Знакомство с инструментами доступа к рынку, такими как колокация и маршрутизаторы ордеров.
Условия:
— Гибкий формат работы: полностью удалённо или в офисе в Нью-Йорке.
— Конкурентная компенсация, включая зарплату и токены.
— Помощь с релокацией в Нью-Йорк.
— Возможность работать с командой мирового класса из Jump, Citadel, Google и Palantir.
Location: Ukraine
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
We are looking for an
AI Software Engineer
to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform. This is an AI-first engineering role: you will spend most of your time designing agents, engineering prompts and context, building retrieval and evaluation pipelines, and directing AI coding agents - with solid .NET engineering as the foundation rather than the whole job.
You will join the AI teams building the
agent platform
that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context and memory, follow permissions, and escalate to humans when needed.
The team also owns the core infrastructure for evaluation, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready.
This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows - and you will use AI coding agents as your primary daily development workflow.
Responsibilities:
Design and implement AI-powered product features within the Creatio platform: assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search.
Design agent architectures - tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation - and choose the right pattern for each problem (single LLM call vs. tool-using agent vs. multi-agent).
Engineer prompts, system instructions, and agent context as first-class artifacts: versioned, reviewed, and covered by evaluations.
Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector/hybrid search into the platform.
Build evaluation datasets, offline and online evals, quality gates, and observability (tracing, logging, drift detection) for AI capabilities.
Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates.
Identify and mitigate AI-specific risks: prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage.
Develop and maintain backend services using C# and .NET.
Use AI coding assistants and engineering agents as the default development workflow; critically review and verify agent output; contribute reusable rules, skills, and prompts to the team.
Follow the AI landscape closely and bring new models, tools, and patterns to the team.
Requirements:
Must have:
Hands-on experience shipping LLM-based features to production: prompt engineering, function/tool calling, structured outputs, context-window and cost management.
Practical understanding of agent architectures (tool loops, planner/executor, multi-agent, human-in-the-loop), MCP, and at least one agent framework or SDK.
Working knowledge of RAG: chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes.
Experience with AI evaluation (datasets, offline evals, LLM-as-judge), LLM observability and tracing, and AI security (prompt injection, OWASP Top 10 for LLM Applications, Responsible AI practices).
Daily proficiency with AI coding agents: the ability to direct, review, and verify agent output rather than only write code by hand.
Solid experience with C# and .NET, API design, distributed systems, and software architecture.
Experience with SQL databases, automated testing, CI/CD, and cloud-native development; Docker and basic Kubernetes.
Strong knowledge of engineering best practices and production-grade software development.
Nice to have:
Python for prototyping, data work, and evaluation scripting.
Hands-on experience with a major AI platform (Anthropic API, Azure OpenAI, AWS Bedrock, Google Vertex AI).
Experience building agent-facing tools or MCP servers.
LLMOps practices: prompt and model versioning, evaluation gates in CI/CD, canary rollouts of prompt changes.
Fine-tuning, distillation, or adapter-based model customization.
Experience with Creatio or other low-code CRM platforms.
What to expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Poland
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For
We are looking for an
AI Software Engineer
to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform.
You will join the AI teams building the
agent platform
that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context, follow permissions, and escalate to humans when needed.
The team also owns the core infrastructure for testing, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready.
This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows.
Responsibilities:
Design and implement AI-powered product features within the Creatio platform: assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search.
Design agent architectures - tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation - and choose the right pattern for each problem (single LLM call vs. tool-using agent vs. multi-agent).
Engineer prompts, system instructions, and agent context as first-class artifacts: versioned, reviewed, and covered by evaluations.
Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector/hybrid search into the platform.
Build evaluation datasets, offline and online evals, quality gates, and observability (tracing, logging, drift detection) for AI capabilities.
Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates.
Identify and mitigate AI-specific risks: prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage.
Develop and maintain backend services using C# and .NET.
Use AI coding assistants and engineering agents as the default development workflow; critically review and verify agent output; contribute reusable rules, skills, and prompts to the team.
Follow the AI landscape closely and bring new models, tools, and patterns to the team.
Requirements:
Must have:
Hands-on experience shipping LLM-based features to production: prompt engineering, function/tool calling, structured outputs, context-window and cost management.
Practical understanding of agent architectures (tool loops, planner/executor, multi-agent, human-in-the-loop), MCP, and at least one agent framework or SDK.
Working knowledge of RAG: chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes.
Experience with AI evaluation (datasets, offline evals, LLM-as-judge), LLM observability and tracing, and AI security (prompt injection, OWASP Top 10 for LLM Applications, Responsible AI practices).
Daily proficiency with AI coding agents: the ability to direct, review, and verify agent output rather than only write code by hand.
Solid experience with C# and .NET, API design, distributed systems, and software architecture.
Experience with SQL databases, automated testing, CI/CD, and cloud-native development; Docker and basic Kubernetes.
Strong knowledge of engineering best practices and production-grade software development.
Nice to have:
Python for prototyping, data work, and evaluation scripting.
Hands-on experience with a major AI platform (Anthropic API, Azure OpenAI, AWS Bedrock, Google Vertex AI).
Experience building agent-facing tools or MCP servers.
LLMOps practices: prompt and model versioning, evaluation gates in CI/CD, canary rollouts of prompt changes.
Fine-tuning, distillation, or adapter-based model customization.
Experience with Creatio or other low-code CRM platforms.
What to expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Задачи:
— Работа над мобильным многопользовательским шутером WELTKRIEG 1: Firestorm
Требования по DevOps:
— уверенное пользование Linux на уровне администратора
— опыт решения инцидентов и поиска уязвимостей
— знания модели OSI и понимание работы сетевого трафика
— опыт работы с сервисами на уровне TCP/UDP приветствуется
— уверенные знания Docker и Docker Compose
— понимание работы Kubernetes (k3s, k8s, k0s и др.), опыт работы приветствуется
— опыт работы с облачными провайдерами (Google Cloud, AWS, Yandex Cloud, Timeweb, Selectel и др.)
— опыт работы с CI/CD: GitHub Workflows, GitLab CI/CD, Jenkins
— умение работать с консольным Git
Требования по Unity:
— крепкое понимание Unity
— хорошие знания C#
— опыт сборки Unity-проектов под серверные окружения
— опыт работы с Unity Dedicated Server / headless builds
— опыт работы с сетевым решением Mirror
— понимание особенностей multiplayer разработки
— умение разбираться в логах, профилировать проблемы и находить причины нестабильной работы
— умение писать поддерживаемый, понятный и тестируемый код
Требования по Backend:
— опыт разработки backend сервисов на C# / ASP.NET Core
— понимание REST API и принципов проектирования API
— опыт работы с PostgreSQL, MySQL или другими реляционными базами данных
— понимание авторизации и аутентификации: JWT, OAuth, session-based auth или аналоги
Будет большим плюсом:
— опыт оптимизации серверной нагрузки
— опыт защиты игровых серверов от злоупотреблений, DDoS, читов или нестандартного поведения клиентов
Условия:
— формат: полная занятость
— локация: удалённо
— работа над действующим мобильным multiplayer-проектом
— возможность влиять на технические решения и развитие инфраструктуры проекта
Architecture & Design — Lead the design and implementation of core protocol components, from initial prototypes to production-grade deployment.
Protocol Development — Develop and optimize data structures, consensus algorithms, and cryptographic implementations (e.g., zero-knowledge proofs).
Security & Verification — Identify attack vectors, failure modes, and performance bottlenecks; apply formal verification or simulation to validate designs.
Cross-Functional Collaboration — Partner with researchers, product managers, and security teams to translate roadmaps into precise technical specifications.
Mentorship & Quality — Drive code quality through design reviews, documentation, and technical leadership; mentor junior engineers.
Technical Skills
Advanced proficiency in systems-level languages used in blockchain (Rust, Go) and smart contract languages (Solidity).
Demonstrated track record of open-source contributions in the Web3 ecosystem.
Domain Knowledge
Strong background in distributed systems, peer-to-peer networking, and modern blockchain primitives (rollup technologies, account abstraction).
Up-to-date with rapidly evolving standards such as Ethereum upgrades and inter-blockchain communication protocols.
Problem-Solving
Proven ability to debug complex issues across network and application layers.
Experience making high-level architectural tradeoffs across performance, scalability, and security.
Communication
Ability to document system improvements and communicate technical concepts to both technical and non-technical stakeholders.
Fluency in English, and Korean proficiency would be a plus.
Hiring Process
Resume Screening → 1st Interview → 2nd Interview → Salary Negotiation
Contract Type
Singapore: Full-time Employee (Onsite)
Worldwide: Service Contractor (Fully Remote)
Location: North America
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
As a small team, we're all generalists that work across the full stack (built in TypeScript end-to-end). We’re looking for engineers that thrive in an environment of autonomy and individual responsibility to help us build the future of product development.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you'll do
- Work closely with founders, product, and design to implement new concepts and ideas
- Build AI-powered functionality into the core of Linear
- Update our collaborative content editor used across all internal surfaces
- Build new user-facing features with beautiful and scalable UI components
- Obsessively improve application performance
- Refine our software development processes to keep the team operating at high velocity
What we're looking for
- 2-5 years of experience building customer-facing products at a software company with a high engineering bar
- Strong React and TypeScript fundamentals, with experience across the full stack (Browser technologies, Node, GraphQL, PostgreSQL)
- Track record of driving complex, end-to-end features (not just incremental improvements and refactors) with visible impact on the product
- Product sensibility: you care about UX, speed, and polish, and you push back when something doesn't feel right
- Comfortable working without heavy PM overhead; you can help to shape the problem, not just implement a solution
- High ownership mentality: self-directed, full-lifecycle builder who takes a feature from idea to shipped
- Thrives in a remote, async-first environment with a lean, high-output team
- Experience at a startup or a company with a genuinely high engineering bar
Our tech
This stack reflects the systems we build and operate. You’re not expected to have experience with everything listed, but you should be excited to work close to product, performance, and real-world scale.
- Agentic workflow system utilizing temporal, operating at production scale
- Proprietary websocket data sync engine https://www.youtube.com/watch?v=bnOpm3a1fRE built for speed and offline support
- React, MobX, StyleX on the frontend
- Extensive, highly-trafficked GraphQL API and SDK
- Node, PostgreSQL, Temporal, and Redis on the backend
- Hosted on Google Cloud with k8s
- GitHub, Slack, Notion
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Learn how we think and work
- Read Me https://linear.app/readme a story about our mission
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post
- How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team
- Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite
- A video series: Conversations on Quality https://linear.app/quality
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
О КОМПАНИИ
OTON Technology — международная IT-компания, создающая гибкую экосистему готовых блокчейн-модулей для управления и масштабирования сетевого бизнеса по всему миру. Мы разрабатываем архитектурные решения на базе собственного публичного блокчейна OTON, смарт-контрактов и DeFi-технологий. Сейчас мы ищем сильного Senior Android разработчика, готового возглавить мобильную разработку в рамках нашей экосистемы, проектировать безопасную архитектуру мобильных кошельков и интегрировать современные децентрализованные сервисы.
ЧЕМ ПРЕДСТОИТ ЗАНИМАТЬСЯ
• Разработка и развитие флагманских мобильных приложений экосистемы OTON (DeFi-кошельки, личные кабинеты для партнеров) на языке Kotlin;
• Проектирование White Label архитектуры: создание масштабируемой базы кода, которая позволит легко менять дизайн под требования заказчиков;
• Интеграция с блокчейном: работа со смарт-контрактами, SDK для взаимодействия с сетью OTON, управление ключами шифрования и транзакциями;
• Повышение безопасности: внедрение передовых стандартов криптографической защиты данных на мобильных устройствах;
• Оптимизация производительности: профилирование памяти, обеспечение стабильной работы приложений в режиме реального времени;
• Командная работа: участие в код-ревью, наставничество (mentorship) над менее опытными разработчиками, плотное взаимодействие с командами backend и DevOps.
ЧТО МЫ ЖДЕМ ОТ КАНДИДАТА
• Опыт коммерческой Android-разработки от 5 лет;
• Глубокие знания Kotlin (Coroutines, Flow) и современного Android SDK;
• Понимание чистой архитектуры: практический опыт работы с MVVM / MVI, Clean Architecture, Dependency Injection (Hilt / Dagger2);
• Опыт в Web3 / Crypto / FinTech: понимание базовых принципов работы блокчейна, криптографических протоколов, работы с закрытыми/открытыми ключами и библиотеками вроде Web3j или аналогами;
• Понимание механики White Label: опыт создания приложений с гибкой конфигурацией тем оформления (Theming) и сборки нескольких версий через Build Flavors;
• Английский язык на уровне Upper-Intermediate (B2) и выше — для работы в международной команде.
БУДЕТ ПЛЮСОМ
• Опыт публикации и поддержки популярных DeFi/крипто-кошельков в Google Play;
• Опыт написания кастомных UI-компонентов на Jetpack Compose;
• Понимание подходов к кроссплатформенной разработке (Kotlin Multiplatform / KMP).
ЧТО МЫ ПРЕДЛАГАЕМ
• Масштабные задачи: участие в создании глобального Web3-продукта, влияющего на тысячи пользователей по всему миру;
• Профессиональный рост: оплата профильного обучения, конференций и возможность прокачать экспертизу на стыке Mobile и Web3.
Требования:
- Основы Go, Git, принципы SOLID
- Unit-тесты, базовые SQL-запросы, Docker
- Понимание микросервисной архитектуры
Обязанности:
- Писать чистый и эффективный код на Go
- Работать с PostgreSQL/Redis
- Участвовать в командных созвонах и код-ревью
Условия:
- Зарплата: 70–100к (net)
- Удаленка/гибрид или офис (8 часов)
- Проекты для топовых компаний, Agile команда
Задачи:
- Разработка сайта
- Разработка Telegram Mini App
- Интеграции с Telegram-ботами, API, платежами и внутренними сервисами
- Работа с backend-логикой, базой данных и пользовательскими сценариями
- Доработка существующего функционала и разработка новых фич
- Иногда - быстрые фиксы, если что-то ломается в проде
Что важно:
Нужен не просто исполнитель по ТЗ, а человек, который может разобраться в продукте, предложить нормальное техническое решение и довести задачу до результата. Требует вовлеченности.
Требования:
- Базовые знания JavaScript и React
- Опыт с Next.js, Tailwind или SCSS
- Понимание Zustand или Redux Toolkit
- Чистый, структурированный код
- Желание учиться и развиваться
- Ответственность и самостоятельность
Обязанности:
- Разработка внутреннего продукта для ресторанов
- Создание систем автоматизации процессов
- Тестирование и отладка кода
- Взаимодействие с другими специалистами
Условия:
- Удаленная работа, свободный график
- Официальное оформление через ИП
- Наставничество и поддержка коллег
- Быстрый рост и влияние на бизнес
Требования:
- базовое знание Java, SQL, HTTP/REST
- опыт работы с Git
- готовность учиться и разбираться в коде
- наличие пет-проектов на GitHub
Обязанности:
- разработка backend-сервисов на Java и Spring Boot
- написание тестов и работа с PostgreSQL
- участие в code review и интеграциях
Условия:
- удаленная работа, свободный график
- стажировка на реальных проектах с наставником
- доступ к архитектурным решениям и инженерной культуре
Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker is shipping a wave of new products this year, with R&D initiatives likely to lead to more, and we're investing heavily in the platform underneath all of it. That platform supports hundreds of engineers across many development teams and carries high-scale production traffic and data transfer every day. It has grown faster than its foundations, and this year is about closing that gap.
Today, much of that work still leans on a handful of experts unblocking the same provisioning and operational workflows by hand. The top priority for this role is moving that work from expert-driven support to paved roads: self-service systems with clear ownership, safe defaults, strong guardrails, and adoption we can measure. The goal is a platform teams trust enough to stop thinking about it, one that just works, so they can focus on their own products instead of ours.
The concrete version sits on this year's roadmap: spinning up a new global region or application environment should take hours, not days. Right now it takes days. Getting there means building the foundations underneath it. We need a real multi-region, cross-account network architecture and a testing and continuous-deployment flow teams can trust, then a self-service layer on top.
We're the container company building our own internal platform, so the bar for "the easy path is also the safe path" is high. You'd be joining a team of four, growing to seven this year (this is one of those hires), and we're looking for a Staff engineer to set technical direction and lead it through real production adoption.
RESPONSIBILITIES
This is a Staff-level role, so success is measured by leverage rather than just your own commits. On a team this size you'll stay hands-on in the codebase while also setting direction, aligning teams on pragmatic standards, and carrying platform investments through to adoption. Concretely, you will:
- Take ambiguous infrastructure problems and turn them into proposals the org can rally around, then drive them through RFCs and architecture reviews across teams.
- Design self-service capabilities and platform APIs (primarily in Go) for onboarding, provisioning, deployment, observability defaults, and day-2 operations, with contracts and docs teams actually use.
- Set delivery standards using Terraform, GitOps with Argo CD, progressive rollout, and good testing, including building the continuous-deployment flow we're missing today.
- Evolve the multi-tenant EKS foundations toward better reliability, security, scale, and cost: Envoy Gateway ingress, traffic routing, and the multi-region, cross-account connectivity we need.
- Improve SLOs, alerting, and incident follow-up on Grafana Cloud so production gets safer and less dependent on heroics.
We judge this work by outcomes the consuming teams feel: how fast they can provision and ship, how much they can do without us, and how reliably it all runs.
AI-ASSISTED OPERATIONS
We're actively investing in AI-assisted and agentic workflows to cut operational toil. We care that they stay safe, auditable, and human-reviewed. You'll help shape where these earn their place and where they don't. Early targets include:
- Alert enrichment and incident context-gathering: assembling the relevant signals, history, and runbook so the on-call engineer starts with context instead of a blank page.
- Runbook-assisted diagnosis and remediation recommendations, with a human in the loop on anything that changes production.
- Onboarding and readiness assistants that answer the questions our experts answer today.
If you've built operational automation and have a healthy skepticism about where automation belongs, this is a place to put both to work.
On-call
Operational ownership is part of the job. You'll join the rotation after onboarding and shadowing. As a Staff engineer, you'll also improve the health of on-call itself, with better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention.
QUALIFICATIONS
- 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Strong software engineering in Go or a similar language: design, testing, debugging, review, long-term maintainability.
- A track record designing, shipping, and operating cloud services or infrastructure platforms in production. We hire for skill and impact, not years.
- Deep expertise in at least one of: Kubernetes, networking, cloud platforms, reliability engineering, or developer platforms, plus solid Linux, networking, and production-ops fundamentals.
- Experience setting technical direction and leading work that needs cross-team alignment.
- Clear written and verbal communication in a remote environment (RFCs, design docs, incident writeups).
Nice to have: EKS and ingress/CNI/service-mesh experience; observability with OpenTelemetry/Prometheus/Grafana; CI/CD and progressive delivery (GitHub Actions, Argo CD, canaries); experience leading migrations or adoption programs across teams.
You don't need every item here. We value deep expertise in one area, strong systems judgment, and curiosity across the rest.
WHAT TO EXPECT
FIRST 30 DAYS
- Build context, meet partner teams, ship your first change, shadow on-call.
FIRST 90 DAYS
- Own a strategic platform problem with a clear plan and metrics; lead an improvement from design to production.
ONE YEAR OUTLOOK
- Lead a major cross-team initiative (for example, self-service provisioning of new regions and environments, or the multi-region networking and CD foundations behind it) and establish durable patterns that change how Docker engineers build and operate services.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
Canada: CA$238,250 – CA$382,250 + equity
United States: $170,350 – $275,550 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Задачи:
— Разработка и внедрение смарт-контрактов на блокчейне Solana с использованием Rust.
— Внедрение работы со смарт-контрактами на фронтенд и бэкенд (самостоятельно или помощь другим членам команды).
— Обеспечение тщательного тестирования всех смарт-контрактов, их безопасности и оптимизации на Solana.
БОЛЬШИМ ПЛЮСОМ БУДЕТ
— Опыт работы с Stellar.
Условия:
— 100% удаленка в международной компании без жесткого контроля времени.
— Участие в передовых проектах с зарубежными клиентами.
— Четко прописанные должностные обязанности и поддержка профессиональной команды.
— Доступ к корпоративным версиям ChatGPT, MidJourney, Cursor и другим ИИ-инструментам для повседневного использования.
Требования:
- Базовые знания Python, JavaScript/TypeScript, Dart, Kotlin или Swift
- Понимание ООП, алгоритмов и структур данных
- Знакомство с Git и желание учиться
- Умение гуглить и задавать вопросы
- Базовый технический английский
Обязанности:
- Разработка функционала веб/мобильного приложения
- Написание чистого кода на Python/Node.js, React/Vue.js или Flutter/React Native
- Участие в код-ревью и написание unit-тестов
- Взаимодействие с дизайнерами и продакт-менеджерами
Условия:
- Оплачиваемая стажировка и менторство
- Работа над боевыми задачами без "кофе"
- Возможность остаться в компании после стажировки
- Гибкий график и частичная удаленка
УдалённоСтажёрГеография найма не уточнена
УдалённоUkraine
УдалённоPoland
УдалённоNorth America
3 900 – 5 000 $
УдалённоCanada; United States
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