Удалённая работа

Задачи: — сопровождать старшеклассников на пути к выпуску и поступлению в вуз — помогать справляться с учебной нагрузкой, сохранять мотивацию и уверенно двигаться к цели — поддерживать подростков, помогать справляться с потерей мотивации, усталостью и страхом неудачи — знать основные процедуры, связанные с экзаменами и поступлением, помогать сориентироваться в сроках, документах, регистрации и других организационных вопросах — следить за важными этапами подготовки и своевременно напоминать о них — искать и подбирать специалистов под запросы учеников — организовывать встречи и взаимодействие между участниками образовательного процесса — координировать договорённости, контролировать организационные вопросы и оплату услуг — следить за слаженной и своевременной работой всех процессов — взаимодействовать с родителями: выстраивать доверительное общение, помогать ориентироваться в вопросах подготовки к экзаменам и поступления, составлять и предоставлять бюджет, обсуждать прогресс ученика и способы поддержки Требования: — понимание системы ЕГЭ, особенностей и требований экзаменов — умение поддерживать подростков, быть внимательным к их состоянию и потребностям — знание основных процедур экзаменов и поступления Будет преимуществом: — интерес к олимпиадам, их уровням, возможностям и льготам при поступлении — знание правил поступления в вузы и приёмных кампаний — умение помогать старшеклассникам изучать варианты поступления и находить подходящие образовательные траектории Условия: — зарплата по результатам собеседования — удалённая работа Контакт для отклика: @OlgaSkobina

Задачи: — Проектировать и реализовывать критичные компоненты: policy engine, signing orchestration, key lifecycle, recovery flows, approvals, audit trails, multi-tenant wallet/account сервисы — Строить высоконагруженные multi-tenant SaaS-системы (изоляция тенантов, rate limiting, backpressure и т.д.) — Работать с distributed systems, reliability patterns, security-by-design — Активно использовать AI-инструменты (Claude Code, Cursor, Codex) как core-компетенцию Требования: — Сильные CS fundamentals (concurrency, distributed systems, consistency и т.д.) — 7+ лет backend на Go — Реальный опыт работы с современными AI coding tools + умение критически проверять AI-код — Опыт построения высоконагруженных multi-tenant SaaS — Опыт работы в криптоиндустрии (криптобиржи, блокчейн-проекты, Web3) Будет большим плюсом: — Опыт в custody/wallets/MPC/HSM/Ledger — Blockchain (EVM + Bitcoin обязательно, остальное в плюс) — Регулируемая среда (SOC 2, ISO 27001 и т.д.) — Kubernetes, SRE-практики Условия: — AI-first культуру с бюджетом на инструменты — Сильную команду (криптографы, security, SRE, Product) — Оплата в: EUR / USD / криптовалюта — Полностью удалённый формат работы

Требования: — Опыт тестирования сложной бизнес-логики и интеграций в АБС ЦФТ-Банк — Навыки тест-анализа, оценки требований и построения матриц покрытия — Опыт подготовки и аудита тестовой документации: тест-планы, ПМИ, интеграционные тест-кейсы — Обязательный опыт с БД и SQL-запросами

Location: San Francisco, CA; Seattle, WA 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. _______________________________________________________________________ THE ROLE Docker is looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools. As a Senior Engineer you will design, build, and operate: - AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. - Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker. _______________________________________________________________________ WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn. _______________________________________________________________________ RESPONSIBILITIES BUILDING AND OPERATING AI DEVELOPER TOOLS - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards - Build systems that help Docker's engineers adopt AI-native development tools - Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction SELF-SERVICE PLATFORM - Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster - Help reduce time-to-production for new products from weeks to days - Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response DESIGN AND DELIVERY - Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions - Write clear design documents for the work you own, and participate in design reviews for the team - Review code thoroughly and share what you learn with the rest of the team - Take part in the team's on-call rotation, and help improve alerts, runbooks, and tooling so the next incident is easier - Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship COLLABORATION AND GROWTH - Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work - Partner with Infrastructure, Security, and Data teams on integrations and shared standards - Help newer engineers get up to speed on the team's tools, patterns, and practices - Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team _______________________________________________________________________ QUALIFICATIONS REQUIRED - 6+ years of software engineering experience building and operating production systems - Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Experience building and operating scalable backend services, distributed systems, or developer-facing platforms - Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience building developer tools, platform systems, or internal tools that other engineers rely on - Good product judgment: you weigh developer experience and technical trade-offs, and you ask clarifying questions before committing to a design - Clear written and spoken communication suited to a remote, async-first company - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Comfortable working autonomously in a distributed, remote-first team - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience with GitOps deployment patterns (ArgoCD) or Grafana-based observability - Familiarity with security and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Learn Docker's current AI and developer tooling landscape, the team's services, and the architecture decisions made so far - Meet your teammates, including the Principal and Staff engineers, the Senior Manager, and key stakeholders in product engineering - Ship a useful production change in your first weeks, using the team's AI-assisted engineering workflow - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Shadow on-call and learn the operational profile of the team's services FIRST 90 DAYS - Own a feature or service from design to production with measurable impact, such as part of an AI code review agent, a deployment diagnostic agent, or an on-call assistant - Write the design document for work you own and take part in team design reviews - Contribute to the self-service platform's deployment pipeline, observability integration, or security controls - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be a go-to engineer for one or more of the team's AI tools or platform components - Have shipped multiple production improvements that Docker engineers use every day, with adoption and effectiveness you can point to - Have helped teams outside AI Developer Tools build and run their own tools on the platform - Have taken on larger and more ambiguous work as your scope grows, and helped newer engineers do the same Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $160,900 – $260,700 base ______________________________________________________________________ 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

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we're helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud—managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. What You’ll Do First Line of Defense: Act as the primary point of contact for customer-affecting technical issues and lead real-time incident resolution. Incident Management: Adhere to incident management protocols and drive post-mortems to capture process improvements and root-cause analyses. Monitoring & Alerting: Monitor and respond to Zabbix, Grafana and Opensearch alerts—taking direct remediation steps or managing seamless escalations. Infrastructure & Pod Health: Ensure the health and reliability of storage pods across all sites (defining and refining monitoring alert definitions and completing daily tasks relating to hardware replacement diagnosis, system troubleshooting and executing needed configuration changes via Ansible and a Git repository framework). Data Center Tech Support: Serve as an escalation point for Data Center Technicians regarding advanced pod troubleshooting, deployment queries, migration issues, and Ansible playbooks. Migrations & Provisioning: Manage pre-deployment configuration and testing for Vault systems, initiate Vault migrations, and perform health checks on migration pods. Code Deployments: Use Jenkins to deploy code updates across all our environments. Network & Operations: Identify and escalate network anomalies, document network IP assignments for upcoming deployments, and track server farm releases/updates. Automation & Process: Identify opportunities to automate daily operational tasks and document workflow procedures. On-Call & Flexibility: Participate in an on-call rotation shift, with flexibility to work outside standard business hours (including weekends, evenings, or holidays) as operational needs arise. The Right Fit Experience: 2–4 years of hands-on experience in Systems Administration, Linux Operations, or SRE environments. Technical Fundamentals: Strong foundational understanding of Linux systems, command-line interfaces, network cabling/topologies, and IP network classifications. Problem Solving & Automation: Analytical mindset with a drive to learn, troubleshoot complex hardware/software interactions, and automate repetitive tasks. Communication: Excellent cross-functional communication and collaboration skills with both technical and non-technical stakeholders. Diversity, Equity, & Inclusion Even if you don’t meet 100% of the qualifications listed above, we still encourage you to apply! Learning, developing, and growing are key parts of our culture. At Backblaze, diversity, equity, and inclusion are core to our values. We are committed to fostering a workplace where all employees feel a sense of belonging regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Backblaze is an Equal Opportunity Employer (EOE) and participates in E-Verify.

Центр обучения нейросетям «iiuniversitet» ищет специалиста по SMM с опытом не менее двух лет, особенно в создании коротких видео и текстового контента для Instagram и YouTube. В обязанности входит разработка комплексного контент-плана для платформ Instagram (Reels, посты, сторис), Telegram, YouTube Shorts и TikTok, а также генерация идей, составление технических заданий и координация работы команды продакшна, включающей сценаристов, монтажёров и креаторов. Кандидат будет управлять собственными ИИ-агентами компании и автоматизированными процессами создания и публикации контента на YouTube, Дзене и VK, а также модерировать и редактировать материалы, следя за их соответствием редакционной политике бренда. Важной задачей является обеспечение регулярного выпуска контента и достижение KPI по регистрациям и лидам из социальных сетей. Требуется подтверждённый опыт создания вирусного контента с измеримыми результатами (просмотры, подписки, заявки), понимание алгоритмов ранжирования вертикальных платформ и принципов работы воронок продаж, а также базовые практические навыки работы с нейросетями. Кандидат должен обладать аналитическим мышлением, структурированностью и умением работать с таблицами. Предлагается полностью удалённая работа с гибким графиком, совокупный доход до 120 000 рублей, включающий оклад и бонусы за KPI и просмотры, оплата подписок на современные ИИ-сервисы, бесплатное корпоративное обучение по топовым ИИ-инструментам, а также участие в онлайн-активностях и корпоративных мероприятиях в составе сильной команды экспертов.

Задачи: — Закупка push-трафика в сетках (Traffic Stars, Traffic Junky, Adsterra, ExoClick и др.). — Полный цикл настройки: креативы, тексты, таргетинги, работа со ставками. — Аналитика и оптимизация: работа с CPC, CPM, CR, CPA. — Постоянный тест связок, прелендингов и масштабирование профитных кампаний. Требования: — Опыт закупки Push-трафика в Adult от 2 лет (критически важно). — Понимание специфики площадок: что проходит модерацию, что конвертит, а на что не стоит тратить бюджет. — Уверенное владение трекерами (Binom, Keitaro, Voluum). — Навык работы с цифрами: оперирование метрикой CPA платящего юзера и умение масштабироваться без потери качества. Будет плюсом: — Опыт работы с AI-продуктами (AI Girlfriend, AI-видео). — Навыки создания креативов (AI + Photoshop/инструменты обработки). Условия: — Удалённый формат работы. — Рассматривается как фултайм, так и работа по контракту (подрядчик). — Оклад от 3000$ + бонусы от ROMI.

Location: United States (Remote) Workplace: Remote About the Role Temporal is looking for a Senior Manager, Global Deal Desk to build and lead the function that sits at the intersection of Sales, Finance, Legal, and GTM Operations. This role is responsible for designing and scaling the frameworks, approvals, and processes that power how Temporal structures, prices, and closes complex commercial agreements — across all segments and geographies. As the owner of Deal Desk globally, you'll be the go-to partner for our field teams navigating non-standard deal terms, multi-year structures, consumption-based pricing constructs, and international commercial complexity. You'll bring a systems mindset to deal operations and a bias toward building scalable infrastructure — not just clearing the queue. We're building a GTM Operations function that is AI-native from the ground up. We expect this leader to bring demonstrated, hands-on experience using AI tools to accelerate deal structuring, review workflows, and commercial analysis — not as a future aspiration, but as a core part of how they work today. Responsibilities - Own and scale the Global Deal Desk function, serving as the primary escalation path for non-standard deal structures, pricing exceptions, and complex approvals across all sales segments and geographies. - Design and maintain deal approval workflows, pricing guardrails, discounting frameworks, and escalation policies that enable field teams to move quickly without creating downstream revenue or legal risk. - Lead CPQ strategy, configuration, and governance — partnering with GTM Systems to ensure our CPQ tooling (including Nue) accurately reflects our product catalog, pricing logic, and approval hierarchies. - Own the operationalization of Temporal's consumption-based pricing model within Deal Desk — including how usage commitments, ramp structures, drawdown mechanics, and true-up provisions are documented, reviewed, and enforced in the quoting and contracting process. - Partner with the VP of GTM Operations and Sales leadership to develop commercial frameworks for international markets — accounting for regional pricing, local currency, tax, and legal entity considerations across EMEA, APJ, and other expansion geographies. - Serve as the cross-functional connective tissue between Sales, Finance, Legal, and GTM Operations on deal-level issues — translating commercial intent into executable deal structures that satisfy all stakeholders. - Partner with Finance on revenue recognition implications of non-standard deal terms, multi-element arrangements, and usage-based constructs; escalate appropriately and maintain clean audit trails. - Build and maintain Deal Desk playbooks, templates, and self-serve resources that reduce friction for AEs and reduce unnecessary escalations. - Drive adoption and optimization of AI tools within Deal Desk workflows — including AI-assisted contract review, quote generation, deal-structuring support, and commercial analysis. - Own Deal Desk reporting and analytics: deal velocity, exception rates, approval turnaround time, non-standard term frequency, and discount trends — surfacing insights to GTM and Finance leadership. - Recruit, develop, and grow Deal Desk capacity as Temporal scales, including building team structure and operating norms for a globally distributed function. Qualifications - 7+ years of experience in Deal Desk, GTM Operations, Sales Operations, or a related commercial operations function, with direct ownership of deal structuring and approval workflows. - Consumption-based business model expertise: proven experience designing or operationalizing Deal Desk processes for consumption, usage-based, or hybrid pricing models — including quoting ramp structures, commitment tiers, true-up mechanics, and the downstream revenue recognition implications of non-standard consumption constructs. - CPQ ownership: hands-on experience administering and evolving a CPQ platform (e.g., Nue, DealHub, Conga, or equivalent) — including product catalog management, pricing rule configuration, approval workflow design, and cross-functional governance. - International markets experience: demonstrated experience structuring and approving deals across multiple geographies, with working knowledge of the commercial, legal, and tax considerations that vary by region (e.g., local currency, local entity contracting, regional pricing strategies, VAT/GST treatment). - Proven AI-native operating style: hands-on experience using AI tools — such as ChatGPT, Gemini, Notion AI, contract intelligence tools, or purpose-built GTM AI — to accelerate deal review, generate quotes, analyze commercial data, or automate repeatable Deal Desk tasks. We want to see how AI is embedded in how you work today, not theoretical familiarity. - Deep understanding of SaaS commercial constructs: multi-year agreements, ramp deals, ELAs, co-termination, consumption commitments, and the interplay between deal structure and revenue recognition under ASC 606. - Strong cross-functional instincts — able to build trust and work credibly with Sales, Finance, Legal, and GTM Operations simultaneously, and to translate competing interests into workable commercial outcomes. - Highly analytical, with the ability to identify trends in deal data, quantify risk in non-standard terms, and communicate findings clearly to senior leadership. - Demonstrated ability to build scalable processes, playbooks, and policies — not just solve individual deal problems. - Experience hiring and developing Deal Desk or commercial operations talent is a strong plus. - Salesforce experience required. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: European Union Workplace: Remote 🌍 Remote | UTC+8 | Core collaboration hours: 1:00–7:00 PM Manila Time   Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. What’s special about our payment platform: - Built for resilience: a fault-tolerant platform where payments keep flowing even when parts of the system or external partners fail - Integrations: international partners and domestic Philippine payment rails - Money-movement flows: cash-in, cash-out, bill payments, loan disbursement and repayment, and more - Platform approach: one platform serving multiple internal products and teams, with shared APIs, SDKs, and reusable building blocks - Architecture: Kotlin/Spring Boot microservices, Kafka, relational databases, and durable workflow orchestration for long-running payment processes - Reliability by design: idempotency, retries and timeouts toward unreliable external partners, full audit trail - Compliance: regulated environment (BSP), with security and fraud checks built into the flow What you’ll do: - Develop scalable microservices on the JVM with Spring Boot, as part of a team building platform solutions for our banking product. - Design payment services with a focus on DDD, eventual consistency, and resilience to partner and infrastructure failures. - Work with product, QA, security, and operations to release changes under agreed engineering standards. What you’ll own: - Own the design, build, and maintenance of software components supporting the Core Engineering team. - Design and evolve payment flows end to end: processing, routing, status handling, refunds/reversals. - Integrate new payment providers, banks, and partner channels, and handle their failure modes gracefully. - Build and maintain scalable, reliable APIs and services, and contribute to internal SDKs and frameworks that let product teams launch new payment use cases quickly and safely. - Investigate payment incidents (stuck, duplicated, or inconsistent transactions) and make the system self-healing. - Translate functional requirements into technical solutions and maintainable implementations. - Contribute to code and configuration reviews. What makes you a strong fit: - 3+ years of software development on the JVM; good knowledge of Kotlin is an advantage - Experience with Spring Boot in a microservice environment - Experience with domain-driven design and eventual consistency - Experience with payments, banking, or other transactional/financial systems (payment platforms, PSP integrations, wallets, ledgers) - Solid understanding of idempotency, distributed transactions, retries, and timeouts in money flows - Track record in an agile setup with continuous deployment and delivery - Experience with containerization and orchestration in a cloud environment (Docker and Kubernetes preferred, AWS preferred) - Experience with, and enjoyment of, continuous knowledge-sharing within the team - Nice to have: Kafka, workflow engines, ISO 20022 What we offer: Ownership and flexibility - Fully remote work with core collaboration hours from 1:00 to 7:00 PM Manila time (UTC+8) - Company-provided tools and equipment Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - High-performing teams can earn a dedicated beach house week in Southeast Asia   We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: San Francisco, CA; Seattle, WA 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. _______________________________________________________________________ THE ROLE Docker is looking for a Staff Software Engineer to set the technical direction for key parts of our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building the AI-powered tools and the platform that let teams across Docker prototype, deploy, and scale their own AI developer tools. As a Staff Engineer you will own the technical design and delivery for two areas: - AI-Powered Developer Tools. Design and build AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents. - Self-Service AI Developer Tools Platform. Design and build the platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools. You will set the patterns and standards that let teams experiment, iterate quickly, and graduate successful prototypes into production-ready services. You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal engineers, engineering leadership, product engineering teams, and platform teams across Docker. _______________________________________________________________________ WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You are a hands-on technical leader who works well at the intersection of AI, developer experience, and platform engineering. You have shipped production systems built on LLMs and AI agents, and you can explain what worked and what did not. You think in platforms: you design something once so that several teams can move faster. You have clear opinions about what makes a developer tool good, and sound judgment about when to build, when to integrate, and when not to do either. You are comfortable in a fast-moving AI landscape and balance technical quality with shipping iteratively. Before you design, you ask about scale, users, and constraints rather than assuming them. You lead through influence and mentorship, and the engineers around you get better because you are on the team. _______________________________________________________________________ RESPONSIBILITIES TECHNICAL LEADERSHIP AND ARCHITECTURE - Set technical direction and own the architecture for AI-powered developer tools and the self-service platform within the team's roadmap - Turn ambiguous problems into clear requirements, plans, and staged decisions. Ask about scale, users, and constraints before designing, and write down your assumptions - Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems that the team and partner teams adopt - Shape platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools - Design reliable, scalable infrastructure for hosting AI agents and developer tools - Recommend AI technology choices, LLM provider strategies, and agent orchestration approaches, and make the trade-offs explicit - Work with the Senior Manager and the team's Principal engineers to align technical decisions with business goals SYSTEMS DESIGN AND IMPLEMENTATION - Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation - Build self-service platform capabilities that reduce time-to-production for new AI tools from weeks to days - Build systems that speed up adoption of AI-native development tools (Claude Code, Codex) across Docker's engineering organization - Set and meet reliability, security, and performance standards for AI systems, including SLOs, monitoring, incident response, and cost management - Design integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems - Take part in the team's on-call rotation and use what you learn to improve alerts, runbooks, and tooling STRATEGIC IMPACT AND INNOVATION - Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks, and recommend what Docker should adopt and what it should not build - Define how we measure AI tool effectiveness, including adoption, productivity gains, and developer satisfaction - Improve AI tool performance, cost efficiency, and developer experience through architectural improvements - Contribute to the technical approach for hardening proven internal tools so other teams across Docker can adopt them - Lead cross-team technical delivery, surface risks early, and work with Infrastructure, Security, and Data on shared standards LEADERSHIP AND MENTORSHIP - Mentor senior engineers on AI/LLM integration patterns, agent development, and platform engineering practices - Lead design reviews and raise the quality of design and code reviews across the team - Create reusable patterns, documentation, and architectural decision records (ADRs) that other engineers build on - Help the team turn good individual AI-assisted engineering practice into shared workflows and controls - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale - Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools - Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows - Track record of designing and building scalable distributed systems and developer-facing platforms - Production experience with cloud-native infrastructure, including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines - Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals - Experience designing developer tools, platform systems, or internal tools that other teams rely on - Track record of clarifying requirements and constraints with stakeholders before committing to a design - Track record of leading complex initiatives that crossed team boundaries, and of influencing without direct authority - Strong product and platform judgment: you weigh business outcomes, developer experience, and technical trade-offs - Clear written and spoken communication suited to a remote, async-first company - Track record of mentoring other experienced engineers - Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in developer productivity, DevOps, SRE, or platform engineering - Contributions to open source AI tools, developer tooling, or platform engineering projects - Experience evolving an internal platform or tool into a widely adopted, production-grade service - Knowledge of security, compliance, and operational practices for production AI systems - Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure) _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Build context on Docker's current AI and developer tooling landscape, including existing AI experiments, LLM provider relationships, and architecture decisions to date - Meet the Senior Manager, the team's Principal engineers, engineering leadership, and key stakeholders in product engineering to understand needs, pain points, and constraints - Review existing AI tool prototypes and internal experiments to learn what is working and what is not - Get hands-on with the team's services and ship a useful production change - Shadow on-call and learn the operational profile of the team's services - Work with the Senior Manager to agree on initial technical priorities FIRST 90 DAYS - Lead the technical framing and delivery plan for one significant problem, from requirements through to production - Document the architecture, technology choices, and integration patterns for that work, including ADRs - Ship a production AI developer tool that sets patterns the team can reuse (for example an AI-powered code review agent, a deployment diagnostic agent, or an on-call assistant) - Contribute to the technical foundations of the self-service platform: deployment pipeline, observability integration, security controls, and cost management - Lead design reviews for your area of the roadmap and begin mentoring other engineers - Take part in the on-call rotation FIRST YEAR OUTLOOK - Be the trusted technical lead for your area of AI Developer Tools, and a sought-after partner for teams across Docker - Deliver at least one material outcome that spans multiple teams or systems - Have multiple production AI tools demonstrating value across Docker's engineering organization - Help build a self-service platform that lets multiple teams build, deploy, and operate their own AI tools with little friction - Define and instrument how the team measures AI tool adoption, effectiveness, and developer productivity impact - Grow other senior engineers into broader ownership, and reduce the number of decisions that depend on a small set of people Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ 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: — Развивать отношения с действующими клиентами, регулярно общаться, разбираться в их планах, приоритетах и задачах, связанных с IT. — Находить новые возможности для сотрудничества: расширять круг контактов внутри компаний, выходить на другие подразделения и знакомиться с людьми, которые инициируют проекты и принимают решения. — Выявлять потребности клиентов: выяснять, какие задачи стоят перед бизнесом, какого результата ожидает заказчик и чем ему может помочь команда. — Передавать команде предварительно проработанные запросы, организовывать встречи и помогать техническим специалистам лучше понять потребности клиента. — Развивать сотрудничество вместе с командой: учитывать историю работы с заказчиком, обратную связь, текущие проекты и договорённости, взаимодействовать с руководителями проектов. — Вести базу контактов, фиксировать перспективные задачи, договорённости и дальнейшие шаги. Требования: — Опыт работы с корпоративными клиентами в IT-услугах, заказной разработке, интеграции или digital: в аккаунт-менеджменте, развитии бизнеса, консалтинге либо управлении проектами с выраженной клиентской составляющей. — Техническая грамотность: понимание того, как устроены разработка и поддержка ПО, корпоративные системы, интеграции и автоматизация. — Умение говорить с клиентами об IT на понятном языке, объяснять возможности команды и понимать, когда стоит подключить технических специалистов. — Интерес к развитию IT-рынка, новым технологиям и применению ИИ в бизнесе. — Умение слушать, задавать точные вопросы, замечать потребности клиента и превращать их в конкретные задачи. — Системный подход к работе: фиксировать договорённости, соблюдать сроки и доводить начатое до результата. — Инициативность, тактичность и умение выстраивать долгосрочные деловые отношения. Условия: — Локация: Москва — Формат работы: удаленно, но с возможностью периодически участвовать в оффлайн встречах с заказчиками, а также участвовать в профильных мероприятиях в Москве. — Доход: фиксированная часть + бонус за результат; прозрачную схему мотивации готовы обсудить на встрече.

Задачи: — Управление проектом: сбор кросс-команды, разделение обязанностей и курирование выполнения процессов этой команды. — Быть ответственным за сроки выполнения общего роудмапа. — Проектирование UX пользовательского пути: создание и проработка с кросс-командами максимально быстрого и бесшовного процесса покупки и получения цифрового товара (автовыдача, интеграция API). — Составление четких технических заданий для венчуров, систем автовыдачи и витринных фильтров. — Отслеживание ключевых показателей: CR, AOV, LTV, GMV, GM. — Отчетность по метрикам в формате демо. — Быстрый запуск MVP: умение собирать рабочие процессы при помощи вайбкода (no-code решения, боты, ручные связки с селлерами), чтобы проверить гипотезу быстро. — Ресерч рынка: оперативное реагирование на внезапные изменения у конкурентов, появление новых трендов или изменения платежных шлюзов. Требования: — Опыт в похожих задачах от 1–2 лет. — Понимание игровой индустрии изнутри: знание скинов, кейсов, трейд-площадок и понимание, почему игроки готовы платить за цифровые предметы, хорошее представление сообществ Counter-Strike и Roblox. — Умение управлять проектами в кросс-командах. — Опыт работы с продуктовыми метриками. — Понимание UX и умение его проектировать. — Способность быстро запускать MVP без помощи разработчиков. — Будет плюсом опыт в категорийном менеджменте. Условия: — Работа из любой точки мира. — Конкурентная зарплата. — Регулярная обратная связь. — Гибкий график. — Инвестиции в развитие: профильное обучение, курсы или конференции.

Задачи: — Построить и вести систему производства креативов: бэклог гипотез, план тестов, приоритизация, контроль сроков и качества; — Писать ТЗ и брифы для аниматоров, моушн-дизайнеров, 2D-артистов, AI-артистов, UGC-креаторов; — Генерировать гипотезы в связке с продуктом и UA-командой: что показывать, какие механики/хуки/СТА, под какую аудиторию; — Делать креативы под две аудитории: классическую casual и Web3/крипто-сообщество (NFT-механики, трейд, коллекционирование) — с учётом требований площадок к рекламе такого контента; — Анализировать результаты (CTR, CPI, IPM, ROAS, retention по креативам) и строить итерации на основе данных, а не вкуса; — Адаптировать материалы под требования и форматы сетей: Meta, Google Ads/UAC, TikTok, AppLovin/Unity/ironSource, Adsgram; — Вести библиотеку креативов, нейминг, версионирование, отчётность по производству. Требования: — От 2 лет в производстве креативов для мобильных игр (merge / puzzle / play-to-earn — плюс); — Понимание метрик performance-маркетинга и умение читать результаты креативов, а не только «нравится/не нравится»; — Знание специфики форматов и политик разных рекламных сетей; — Опыт управления большим пулом исполнителей параллельно; — Умение писать ТЗ, по которым не переспрашивают; — Опыт использования AI-инструментов в производстве креативов; — Большая насмотренность в casual-рынке: знание, что сейчас работает у топов, и почему; — Английский для работы с референсами, исполнителями и международными материалами. Будет плюсом: — Опыт с играми на Telegram / Web / hybrid-casual; — Опыт продвижения Web3 / NFT / крипто-игр: понимание, как про это говорить в креативах и чего нельзя показывать по политикам Meta, Google и TikTok; — Навыки монтажа и моушена своими руками (After Effects, Premiere, CapCut); — Опыт UGC-продакшна и работы с креаторами. Условия: — Зарплата в валюте, крипте, рубли: работаем так, как удобно тебе; — Гибкое начало рабочего дня — пятидневка и полная удалёнка; — Высокая автономия: ты решаешь, что и как производить, мы даём бюджет и данные; — Международный трафик, большие объёмы тестов.

Location: Remote EMEA Workplace: Remote A QUICK RUN-DOWN OF THE JOB We’re looking for a Product Manager to join LI.FI and help raise the bar on how our aggregation product performs in the real world. You’ll own two sides of the same mission: driving execution quality so every liquidity source behaves as intended and transaction success rates meet our standards, and leading how we add new liquidity sources and ecosystems to grow the product’s reach. You’ll work closely with our Expansion team, partnering hand in hand with the tech lead to turn complex technical and business needs into clear, well-scoped work for engineering. You’ll also manage relationships with external partners like decentralised exchanges, and collaborate across BD, QA, and Data to keep the product reliable and improving. The role reports to our Product Lead and sits within a small, focused product team. Please note: This role is remote within Europe. Your application will not be considered otherwise. WHAT YOU’LL DO - Own execution quality for our aggregation product, defining what good looks like and driving the monitoring, metrics, and features that get us there - Lead the onboarding of new liquidity sources and ecosystems end to end, from identifying opportunities to driving them to launch - Work hand in hand with the Expansion tech lead to translate business and technical needs into well-defined tickets and specs for engineering - Monitor API behaviour and the performance of our tools, catching issues before they reach partners and users - Build and maintain relationships with third parties, including decentralised exchanges and other liquidity partners - Collaborate closely with BD, QA, and Data to align on priorities, surface issues, and feed improvements back into the product WHAT MAKES A GOOD CANDIDATE - Ideally 5+ years of experience as a Product Manager, with a strong track record in a technical product environment - Blockchain experience is a must: ideally coming from a blockchain company so you can hit the ground running on how the ecosystem works - Strong analytical and data-driven mindset, with the ability to interpret data, spot patterns, and translate findings into product decisions - Excellent communicator, confident talking to external partners like decentralised exchanges and able to translate technical issues into clear, actionable solutions - Strong attention to detail: you notice when something is off and dig into it - AI literate: you actively use AI tools in your workflow and understand how to apply them to product work - Collaborative mindset, strong organisational skills, and a process-oriented approach to work NICE TO HAVE - Track record of working on data products - Experience monitoring API performance or working on execution quality in a technical product - Familiarity with aggregation, routing, or liquidity-related products in crypto or fintech We encourage you to apply if you feel your experience and skills equip you for this job but are not listed here! COMPANY CULTURE - Embracing the differences - Embrace your own differences - Respect and welcome the unique qualities of others - See others’ differences as an opportunity to grow - Own it, do it - Own tasks end-to-end - Hold yourself to a high bar for execution - Make bold decisions, and be accountable - Understand your limitations and seek for help - Fail forward - Try - don’t be afraid to fail - Learn - don’t make the same mistake twice - Adapt - grow with the experience - Have fun together - Take the time to get to know and understand each other better - Don’t take yourself too seriously and keep it light-hearted - Fun should be coming from a place of love and respect WHAT YOU’LL GET - Annual company offsites — we've explored Thailand, Vietnam, Morocco, and Greece together. Next stop for 2027: TBD! - 30 days of PTO - Flexible remote days - Flexible working hours - Equity participation from day 1 - Entitlement to work computer (choice of equipment) - An annual 1,000€ personal development budget once you have worked 6+ months (pro-rated the first year) - A one-time 1,000€ remote budget to use on coworking, office setup, etc. If you join us as an independent contractor, you’re only entitled to the first five benefits of this list. APPLICATION PROCESS Setting yourself up for success starts with the application! Click here https://www.notion.so/Setting-yourself-up-for-a-great-start-112f0ff14ac780d58c6ee346f3856bec?pvs=21 to discover valuable tips that will help you navigate our application process effectively. LI.FI http://LI.FI is an equal opportunity employer. We encourage individuals of all backgrounds to apply. Join us in our dedication to fostering a workplace that values and respects each team member's unique contributions. Shortlisted candidates will undergo a comprehensive interview process, including a people operations interview, a take-home assignment, a meet-the-team & founder interview, and a reference check. For more information, visit our page https://www.notion.so/Hiring-Process-at-LI-FI-2e3ec55d96114976abc635866ae73ea3?pvs=21 detailing our hiring process!

Задачи: — Запуск и оптимизация рекламных кампаний в Facebook по spend-модели; — Поиск и тестирование прибыльных связок; — Анализ трафика и ключевых метрик; — Масштабирование успешных кампаний; — Работа с бюджетами и поиск новых точек роста; — Взаимодействие с командой по креативам. Требования: — Свежий опыт работы с IGaming на Facebook от 1 года; — Обязателен опыт работы по spend-модели; — Понимание FTD, ROI, ROAS и качества трафика; — Умение находить и масштабировать прибыльные связки; — Самостоятельность и ответственность за результат. Условия: — Крупные бюджеты; — Фикс + процент от spend; — Удалённый формат и гибкий график; — Прямое взаимодействие с командой и руководством; — Возможность профессионального и финансового роста.

Задачи: — Перенос Jira, Confluence, Caddy и других сервисов в Docker — Поддержка стабильности, безопасности и порядка в сервисах — Автоматизация бэкапов Jira, Confluence, Git и Perforce с регулярной проверкой восстановления — Развёртывание новых сервисов по запросу команды — Настройка Perforce и интеграция UnrealGameSync — Развёртывание Zen Server (DDC) для кэширования ассетов и шейдеров — Настройка Horde CI: dev/debug-сборки, прекомпилированные бинарники для UGS, базовые проверки (чистая компиляция, clang-format/clang-tidy, EditorConfig) — Подключение Virtual Assets CD с автоматической загрузкой билдов в Steam Требования: — Опыт с любой CI/CD-системой: GitHub Actions, GitLab CI, TeamCity, Jenkins, Horde или аналогами — Администрирование Linux и/или Windows Server — Уверенная работа с Docker — Скрипты на Bash, PowerShell или Python — Понимание принципов резервного копирования и восстановления — Базовое понимание, как устроены сборки Unreal Engine — Умение самостоятельно разбираться в задачах и предлагать решения — Привычка использовать LLM как рабочий инструмент — Опыт с Perforce, Horde, Zen Server/DDC, UnrealGameSync (будет плюсом) — Опыт с Ansible или другими инструментами управления конфигурацией (будет плюсом) — Автоматическая публикация билдов в Steam (будет плюсом) Условия: — full-time (5/2, 7,5 ч, гибкое начало дня) — оформление: ГПХ/ИП/СЗ — гибкий график, оценка по результату

Компания Wiregate ищет Middle QA Engineer для долгосрочного проекта с удалённой работой. В обязанности входит ручное и автоматизированное тестирование веб-приложений, включая UI и API, планирование тестирования, выявление и документирование багов, работа с API-интеграциями и технической документацией, а также участие в обеспечении качества на всех этапах разработки. Требуется опыт в QA не менее трёх лет, навыки ручного и автоматизированного тестирования, понимание протокола HTTP и взаимодействия фронтенда с бэкендом, а также разговорный английский для общения с заказчиком на созвонах. Работа предполагает полный рабочий день с понедельника по пятницу с 10:00 до 19:00 по московскому времени, общение с командой через Discord, 28 дней оплачиваемого отпуска, квартальные бонусы и дополнительную финансовую поддержку.

Задачи: — Тестирование DWH: понимание слоёв хранилища (staging, core, витрины), доменной модели — Тестирование Airflow: чтение логов, анализ падений задач, проверка ретраев, backfill и идемпотентности — Понимание OLAP-подхода: кубы, меры, измерения, агрегаты; опыт проверки данных через Cube REST API — Сверка данных между системами (счётчики, контрольные суммы, полнота) — Негативное тестирование потоков данных и интеграционных обменов Требования: — Опыт работы в QА: от 5 лет — Опыт автоматизации тестирования на Python от 4-х лет — Уверенный SQL: сложные запросы, JOIN, оконные функции, агрегации, работа с большими объёмами данных — Знание Python для автоматизации сверок и анализа логов — Инструменты: DBeaver/SQL-клиенты, Postman/curl, Jira, Confluence, TMS — Тестирование 100% backend — 50% ручное, 50% авто Условия: — full-time — удалённая работа (формат remote)