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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: 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: — Администрировать и поддерживать Percona MySQL PXC Cluster; — Настраивать HAProxy для балансировки нагрузки и высокой доступности; — Мониторить и оптимизировать производительность БД с помощью PMM; — Управлять миграцией MySQL 5.7 → MySQL 8 Cluster; — Обеспечивать безопасность данных, резервное копирование и восстановление; — Автоматизировать процессы администрирования с помощью SQL, Python, Bash; — Диагностировать и устранять проблемы с производительностью и доступностью БД; — Работать с облачной инфраструктурой AWS / Azure; — Взаимодействовать с технической командой и поддерживать документацию. Требования: — Опыт работы на позиции Database Administrator; — Уверенное владение Percona MySQL PXC, HAProxy, PMM; — Практический опыт миграции MySQL 5.7 → MySQL 8; — Глубокое понимание архитектуры БД, репликации, High Availability и Performance Tuning; — Опыт работы с AWS и Azure; — Знание принципов безопасности баз данных и резервного копирования; — Навыки автоматизации с использованием SQL / Python / Bash; — Английский для коммуникации с международной командой. Будет плюсом: — Опыт работы в Healthcare / Biotech; — Знание стандартов HIPAA; — Опыт работы с LIMS; — Понимание специфики лабораторных и генетических данных. Условия: — Полностью Remote; — Full-time, понедельник — пятница; — Freelance contract; — Конкурентная почасовая ставка, обсуждается индивидуально; — Выплаты ежемесячно через Payoneer / PayPal / Crypto; — Отпуск и выходные по предварительному согласованию; — Работа над международным проектом в сфере биотехнологий.

Требования: — Опыт работы от 6 лет, включая Copilot Studio и Azure AI Foundry. — Знание архитектуры AI-агентов, паттернов проектирования и промпт-инжиниринга. — Опыт интеграций, управления коннекторами, разрешениями и источниками знаний. — Навыки тестирования AI-агентов, обеспечения безопасности, DLP и защиты от prompt injection. — Опыт с Dev/Test/Prod, анализа сбоев и создания переиспользуемых решений. — Навыки взаимодействия со стейкхолдерами, документирования и передачи знаний. — Понимание требований безопасности, масштабирования и поддержки AI-платформ.

Location: All Cities Workplace: Remote Mobile Wave Solutions is a professional services company specializing in software development as a service. We are committed to delivering scalable, high-quality software solutions that meet our clients' evolving needs. With a growing team of over 120 engineers and a mission to empower businesses globally, we provide expert teams to deliver robust solutions and drive innovation. ROLE OVERVIEW We're looking for a Site Reliability Engineer to own the health, performance, and delivery of the infrastructure of one of our client. You'll sit at the intersection of engineering, operations, and quality measuring how their systems actually behave, automating away manual work, and making their path from commit to production fast and dependable. This is a hands-on role for a seasoned engineer who treats operations as an engineering problem and sets the bar for others. You'll define what "reliable" means for the systems in concrete, measurable terms, establish the practices the team operates by, and use modern tooling, including AI/AIOps, to monitor, alert, and respond intelligently rather than reactively. As a senior member of the team, you'll also mentor other engineers and help shape our reliability strategy. KEY RESPONSIBILITIES - Own the infrastructure. Build, maintain, and scale the systems our product runs on, with reliability and cost-efficiency as first-class concerns - Measure the non-functional. Define and track SLIs, SLOs, and error budgets for availability, latency, throughput, and scalability. Make system behavior visible and quantifiable to the whole team - Automate relentlessly. Identify and eliminate toil. Replace manual operational work with code, infrastructure-as-code, and self-healing systems - Build a seamless delivery process. Design, maintain, and improve CI/CD pipelines so engineers can ship safely and frequently with fast feedback - Collaborate across functions. Partner closely with software engineers and QA to embed reliability and quality early - through testing strategy, deployment practices, and shared ownership of production - Apply AI to operations. Use AI/AIOps to automate remediation, surface anomalies, reduce alert noise, and improve the signal quality of monitoring, reporting, and on-call - Lead incident response. Drive blameless postmortems and turn incidents into systemic improvements - Set the standard. Define reliability and operational best practices, and mentor engineers across the team to raise the bar QUALIFICATIONS - 5+ years of experience in an SRE, DevOps, or Platform Engineering role, with a track record of owning systems end to end - Strong grasp of reliability engineering fundamentals: SLIs/SLOs, error budgets, and reducing toil - Hands-on experience designing modernising and operating CI/CD pipelines - Solid infrastructure-as-code skills (Terraform / Pulumi / CloudFormation) - Experience with cloud platforms (GCP / AWS / Azure) and container orchestration (Kubernetes / Docker) - Proficiency in at least one programming/scripting language for automation (Python / Go / Bash) - Strong observability experience: metrics, logging, tracing, and alerting (NewRelic, Prometheus / Grafana / Datadog / OpenTelemetry) - Applied experience using AI/AIOps to automate, measure, report, and alert - anomaly detection, intelligent alerting, noise reduction, or automated remediation - A collaborative mindset and comfort working alongside engineers and QA toward shared reliability goals - Demonstrated technical leadership—mentoring engineers, driving cross-team initiatives, and influencing engineering practices YOU WOULD IMPRESS US IF YOU HAVE - Prior experience working with Google Cloud Run - Experience introducing AIOps tooling into an existing observability stack - Background in performance and load testing. - Familiarity with security and compliance practices (SOC 2 / ISO 27001 / GDPR) OUR BENEFITS - Remote Office – Option to work remotely or hybrid - Parking Space – Free parking available - Fun Office Space – Game zone and relaxation area - Health Insurance – Private health insurance, including dental care - Holidays – 5 extra days after your 1st and 5th year with us - Personal Development – Company-sponsored training and development - Employee Referral Programme – Competitive bonus for successful referrals - Social Events – Celebrating success together - Family Insurance – Add insurance coverage for a family member - Multisport Card – Fully covered sports pass

Задачи: — Анализ бизнес-потребностей клиентов и определение технологических решений для их реализации. — Сбор и анализ требований, подготовка документации по цифровым продуктам и функциональных спецификаций. — Подготовка проектной документации, включая use cases, user stories, BPMN-диаграммы, UML-модели и wireframes. — Участие в этапах анализа и планирования разработки программного обеспечения. — Исследование и сравнение технологических решений, анализ KPI для повышения эффективности бизнеса. — Подготовка презентаций и представление результатов анализа и предлагаемых решений заинтересованным сторонам. Требования: — Опыт работы в IT от 2-х лет. — Опыт сбора, анализа, проверки и приоритизации требований. — Навыки подготовки бизнес- и технической документации, включая use cases, user stories, BPMN, UML и wireframes. — Понимание жизненного цикла разработки ПО (SDLC), IT-операций и методологий Agile / Waterfall. — Знание принципов системной интеграции, API и потоков данных. — Знание хотя бы одного языка программирования. — Опыт работы с JIRA, Confluence или Azure DevOps. — Знание фреймворков корпоративной архитектуры, таких как TOGAF, ITIL или Zachman, будет преимуществом. — Уверенное владение английским языком (устно и письменно). Условия: — Ежегодные бонусы по результатам работы. — Медицинское страхование и страхование жизни. — 30 календарных дней отпуска и 5 дополнительных дней оплачиваемого больничного без подтверждения. — Корпоративные скидки и специальные предложения. — Программа признания достижений. — Внутренние и внешние программы обучения, сертификации и профессионального развития.

Задачи: — проектирование, обеспечение безопасности, автоматизация и оптимизация облачных сред Azure. Требования: — опыт работы с Azure. — знание Kubernetes. — опыт работы с Terraform. — знание Python. — опыт работы с Ansible. Условия: — удалённая работа. — ставка $70 - $80 в час.

Задачи: — Разрабатывать и поддерживать сервисы и API на C# / .NET — Разрабатывать интерфейсы на React или Vue — в зависимости от проекта — Участвовать в проектировании архитектуры и выборе технических решений — Писать поддерживаемый, тестируемый и понятный код — Проводить code review и помогать команде расти — Работать с базами данных, очередями, кэшами, внешними API — Участвовать в CI/CD, деплое и мониторинге — Декомпозировать задачи, оценивать сроки и влиять на технические решения — Для Senior — брать техническое лидерство, менторить команду и влиять на развитие продукта Требования: — Опыт коммерческой разработки: от 3–4 лет для Middle+, от 5+ лет для Senior — Уверенный C# / .NET: .NET 6+, ASP.NET Core, Entity Framework Core — Опыт разработки REST API, понимание HTTP, JSON, аутентификации и авторизации — Уверенное владение одним из фреймворков: React или Vue — компонентный подход, хуки / composition API, state management — TypeScript — уверенное использование — Опыт работы с базами данных: PostgreSQL, MS SQL, MySQL или аналоги — Понимание SQL и умение писать запросы — Опыт с Docker, Git, Linux, CI/CD — Опыт написания тестов: xUnit/NUnit, Jest/Vitest и аналоги — Понимание принципов SOLID, паттернов проектирования и чистого кода — Технический английский — чтение документации, переписка, созвоны Будет плюсом: — Опыт коммерческой разработки и на React, и на Vue — Опыт миграции между фреймворками (Vue → React, React → Vue) — Fullstack-опыт: самостоятельная разработка от API до интерфейса — Микросервисная архитектура, gRPC, GraphQL — Kafka, RabbitMQ, Redis, NATS — Kubernetes, Helm, Terraform, Ansible — Cloud: AWS / Azure / GCP / Yandex Cloud — Опыт высоконагруженных систем — Опыт миграций, работы с легаси, монорепозиториями — Опыт в финтехе, e-commerce, SaaS, ML, DevTools — Вклад в open source — Опыт менторства, техлидства, архитектурных ревью — Английский B2+ — Опыт работы в продуктовых командах и/или стартапах

Задачи: — Руководство региональными ICT операциями, инфраструктурой, облачными сервисами, контролями безопасности и соответствием требованиям. Требования: — Опыт работы с Active Directory, PowerShell, Windows, macOS, IAM, ITIL, Intune, сетевыми технологиями, JAMF, Microsoft Entra ID, Python, AWS, безопасностью, Linux, Bash, Azure. Условия: — null

Компания Shield AI ищет опытного старшего сетевого инженера, который будет заниматься проектированием и развитием надежной, масштабируемой и безопасной сетевой инфраструктуры. В обязанности входит работа с технологиями NAC, SASE, беспроводными сетями, IoT, API, маршрутизацией, Terraform, WAN, Python, Ansible, архитектурой сетей, концепцией zero-trust, AWS, VPN, LAN, коммутацией, Azure, межсетевыми экранами, а также протоколами OSPF и BGP. Кандидат должен обладать глубокими знаниями и опытом в этих областях для обеспечения эффективной и защищенной работы сетевых систем компании.

Location: Bengaluru, India We are looking for a DevOps Engineer who will focus on cloud infrastructure automation, CI CD pipeline management, and platform stability. You will work on a cloud based platform that supports reliable, secure, and scalable delivery of software systems across multiple environments. This role combines hands on engineering with close collaboration across development and quality teams. The project focuses on building and operating a shared cloud platform that enables teams to deploy and run applications in a consistent and automated way. The platform supports continuous delivery, infrastructure automation, and operational stability across cloud environments. Design, build, and maintain scalable cloud infrastructure using Infrastructure as Code practices. Develop, maintain, and improve CI CD pipelines to support secure and efficient software delivery. Deploy and operate workloads in AWS and Azure, including networking, storage, and security configurations. Implement monitoring, logging, and alerting solutions to ensure platform reliability and performance. Perform root cause analysis and troubleshooting for infrastructure and CI CD pipeline issues. Collaborate with product owners, developers, and QA specialists to translate platform and delivery needs into technical solutions. Contribute to platform stability, standardization, and continuous improvement initiatives. Experience working with Azure and Terraform in a production environment. Hands on experience with CloudFormation for infrastructure automation. Experience using Docker for containerized applications. Practical experience with GitHub and GitHub Actions, including branching strategies and pull request workflows. Experience designing or supporting CI CD pipelines. Understanding of cloud networking, security, and operational best practices. Ability to document solutions and communicate technical decisions clearly in English. Experience working with Kubernetes. Programming or scripting experience with Python, Go, Java, Shell, or PowerShell. Experience with monitoring and observability tools such as Splunk, Datadog, Prometheus, or Grafana.

Location: Athens, Greece; Thessaloniki, Greece About the Role We are seeking an AI/ML Engineer - python developer to join our software development team. You will work on challenging international projects, using cutting-edge technology to deliver ML and AI solutions for major international public organizations. The role offers rapid career growth and real exposure to high-impact, large-scale work. What You Will Do Implement advanced ML solutions and model deployment strategies (MLOps); Build advanced Generative AI components and pipelines, including RAG architectures, orchestration layers and evaluation frameworks; Contribute to AI governance, observability, monitoring and responsible AI practices; Contribute to the design and documentation AI solutions; Contribute to python implementation tasks and implementation of micro-services using frameworks such as FastAPI, Flask, Pydantic. etc. Requirements A university degree in IT or a related field; Very good knowledge of python, pandas, numpy, scipy, matplotlib, seaborn; Good knowledge of  FastAPI, Flask, Pydantic, SQL Alchemy; Hands-on experience in use and integration with leading LLMs and SLMs; Familiarity with AI frameworks such as LangChain, LangGraph, Haystack; Familiarity with major ML frameworks such as PyTorch and TensorFlow, and with model formats such as ONNX; Excellent command of English, written and spoken. Nice to Have Experience designing and implementing AI/NLP pipelines (AI Ops / NLP Ops); Familiarity with AWS SageMaker and / or  Azure Machine Learning platform; Familiarity with cloud platforms such as AWS or Azure; Familiarity with Big Data systems such as Spark (PySpark) and/or Databricks. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( JA/ME-PD/11/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Основные требования: — Сильная мотивация и желание зарабатывать. — Квалификация возможностей, ведение переговоров с заказчиками и закрытие сделок. — Опыт работы с ИТ-решениями или консалтинговыми услугами, желательно связанными с ERP, CRM или экосистемой Microsoft (например, Microsoft Dynamics 365, Power Platform, Microsoft 365). — Способность понимать бизнес-процессы клиентов и формулировать их потребности в виде ценностно-ориентированных технологических решений. — Знакомство с цифровой трансформацией и автоматизацией бизнес-процессов. — Отличные навыки коммуникации и проведения презентаций, умение управлять отношениями с заинтересованными сторонами и выстраивать связи с представителями разных регионов и культур. — Умение проводить анализ рынка и конкурентной среды, готовить коммерческие предложения, пользоваться CRM-системами. — Владение английским языком (устно и письменно). — Знание русского языка и/или местных языков Центральной Азии является преимуществом. — Самостоятельность и организованность, способность эффективно работать в гибридном формате в Алматы и взаимодействовать с распределёнными командами. — Опыт работы в сфере B2B-продаж в Центральной Азии. Задачи: — Выявлять и прорабатывать новые деловые возможности. — Выстраивать и поддерживать прочные отношения с потенциальными и существующими клиентами. — Продвигать портфель услуг Awara IT в области Microsoft Dynamics 365, Power Platform и смежных решений. — Проводить маркетинговые исследования, квалифицировать лиды, готовить и проводить клиентские презентации. — Координировать коммерческие предложения и вести переговоры для закрытия сделок. — Взаимодействовать с техническими командами и командами по реализации проектов для согласования решений с потребностями клиентов. — Поддерживать рост клиентской базы. — Участвовать в формировании прогнозов продаж и отчётности по воронке. — Регулярно общаться с заинтересованными сторонами и лицами, принимающими решения, как лично, так и виртуально. Условия: — Полная занятость в международной IT-компании. — Гибридный формат работы в Алматы: офис и возможность работать из дома. — Работа с решениями Microsoft Dynamics 365, Power Platform, Microsoft 365, Azure, Power BI и AI. — Участие в развитии проектов в Центральной Азии, Европе и регионе MENA. — Взаимодействие с международными клиентами и распределёнными командами.

Задачи: — Анализ текущих процессов IT-бизнес-анализа (ITBA), выявление областей для улучшения и поддержка оптимизации бизнес- и системных процессов внутри банка. — Сбор и анализ бизнес- и системных требований для функций программы лояльности, включая начисление бонусов, их использование и интеграцию с партнерами. — Чтение и описание REST API с использованием Swagger и Postman, документирование структур запросов/ответов и обработки ошибок. — Сопоставление данных между фронтендом (мобильными и веб-приложениями), бэкенд-сервисами и основными банковскими системами для операций программы лояльности. — Описание взаимодействий между фронтенд и бэкенд компонентами, обеспечение бесшовного потока данных для операций с бонусами на платформах iOS и Android. — Сотрудничество с межфункциональными командами (разработчиками, тестировщиками, менеджерами проектов), чтобы гарантировать, что бизнес-требования полностью поняты и реализованы. — Анализ сложных бизнес-процессов и систем в области банковской программы лояльности, выявление улучшений и точек интеграции. — Документирование требований для интеграции с системами партнеров и банковскими продуктами, обеспечение соответствия логике программы лояльности. — Эффективное общение с техническими и нетехническими заинтересованными сторонами, перевод бизнес-потребностей в четкие спецификации и техническую документацию. Требования: — Опыт работы в области бизнес-анализа и сбора требований не менее 4 лет. — Опыт работы в сфере FinTech. — Опыт анализа, оптимизации и улучшения процессов IT-бизнес-анализа (ITBA) в банковской среде. — Опыт работы как в системном анализе, так и в бизнес-анализе. — Опыт работы с Swagger, Postman. — Опыт чтения и описания API. — Опыт описания взаимодействий между Frontend и Backend. — Опыт работы с отображением данных. — Опыт работы с PostgreSQL (проектирование схем, анализ запросов). — Ориентированность в банковских продуктах и услугах. — Опыт создания диаграмм последовательности для визуализации процессов и системных потоков. — Опыт создания диаграмм C4 (уровень компонентов/контейнеров) для моделирования системной архитектуры. — Опыт разработки мобильных приложений, включая знание мобильных платформ (iOS, Android) и методологий мобильной разработки. — Отличные аналитические способности и умение анализировать сложные бизнес-процессы и системы. — Умение работать с межфункциональными командами, включая разработчиков, тестировщиков и менеджеров проектов, чтобы обеспечить выполнение бизнес-требований. — Отличные коммуникативные и межличностные навыки, способность эффективно общаться с как техническими, так и нетехническими заинтересованными сторонами. — Уровень английского языка – от Intermediate+ и выше. Желательные требования: — Знание MongoDB. — Сертификации Azure, Oracle, Microsoft, UiPath, AWS, Antropic. Условия: — Полный день. — Удаленная работа. — Полная занятость. — Опыт работы не менее 4 лет. — Компания Andersen сотрудничает с крупными международными компаниями и предоставляет возможности для профессионального роста, участия в международных сертификациях, наставничества и обучения через Andersen Knowledge Base.

Задачи: — Разработка эффективного, повторно используемого и надежного кода на .NET — Создание и поддержка масштабируемых микросервисов — Надзор за архитектурными решениями и обеспечение соблюдения командой лучших практик — Сотрудничество с заинтересованными сторонами для уточнения требований — Реализация масштабируемых микросервисов на основе согласованных требований — Эффективное делегирование задач в инженерной команде — Предоставление четкого технического направления и ожиданий — Принятие и донесение до сведения технических решений — Стимулирование открытого обсуждения и альтернативных точек зрения — Выявление рисков и устранение препятствий на проактивной основе — Предоставление конструктивной обратной связи для поддержки роста команды — Поддержка релизов и устранение проблем в производственной среде — Содействие постоянному улучшению процессов разработки Требования: — Опыт работы в коммерческой разработке программного обеспечения на платформе .NET не менее 5 лет, включая .NET 8+, ASP.NET Core, Web API и gRPC — Опыт работы в руководящей роли не менее 2 лет, включая наставничество, проверку кода, делегирование задач и принятие решений по архитектуре — Отличные знания проектирования программного обеспечения, ООП и архитектурных шаблонов проектирования — Солидный опыт работы с архитектурой микросервисов, асинхронной обработкой сообщений с использованием SQS, RabbitMQ или аналогичных инструментов, а также контейнеризацией с помощью Docker, ECS или Kubernetes — Опыт работы с облачными платформами, такими как AWS, Azure или GCP — Опыт работы с PostgreSQL и EF Core — Опыт работы с Redis — Опыт интеграции с API сторонних разработчиков с использованием REST, SOAP или WCF — Ориентированность в инструментах CI/CD — Ориентированность в методологиях Agile и Scrum — Будет плюсом: опыт работы с MassTransit, OAuth 2.0 и OpenID Connect, OpenTelemetry, Terraform Условия: — Полная занятость с официальным трудовым договором — Гибкий формат работы: офис, удалённая работа или гибридный — Частная медицинская страховка — Оплачиваемый отпуск и больничный — Доступ к внутренним и внешним обучающим платформам — Рабочее оборудование — Программа рефералов с бонусами за рекомендацию друзей и бывших коллег

Location: United States Workplace: Remote Manager, Commercial Operations We are looking for a Manager of Commercial Operations to build and run the transactional engine of the commercial function inside Revenue Operations. ClickHouse runs on a usage-based pricing model, and every deal – direct, marketplace, or partner – has to land correctly in the system: quoted against the right rules, ordered against the right contract structure, and booked cleanly enough that Accounting can bill and recognize it without rework. As we scale the cloud business and widen the product line, that path has to carry more volume, more products, and more deal structures without adding people to the middle of it. This role designs the systems, automation, and controls that make that possible. Reporting to the Director, Commercial Strategy & Operations, you will own the quote-to-order path and order management, along with the build behind it: the CPQ and quoting system requirements, the automation, the validation and controls, and marketplace transaction operations across AWS, GCP, and Azure. The goal is a commercial path where the standard deal is self-service for the field, quality is enforced by the system rather than by who touched the deal, and human review is reserved for the cases that genuinely need judgment. You will be measured by how fast and how cleanly a deal moves, how little intervention it requires, and how good the experience is for the rep. You will partner daily with Sales, Accounting, Finance, Legal, and Revenue Engineering. WHAT YOU'LL BE DOING - Own order management and automate it. Run the intake, review, and processing of quotes, order forms, and bookings to defined SLAs through quarter-end peaks, and continuously engineer the manual steps out of that path. - Design the quote-to-order flow. Instrument the process, find where it slows or breaks, and redesign it. You own the architecture of the flow, the exception routing, and the automation that makes the standard case hands-off. - Own the quoting and order management system build. Write the requirements, design the quoting, validation, and approval logic, drive the roadmap with Revenue Engineering, run UAT, and validate every change in production before the field sees it. - Own the handoff into billing and revenue. Partner with Accounting so that what leaves your process arrives structured, complete, and reconcilable – and build the controls upstream that keep downstream rework from happening at all. - Build quality in as controls. Validation rules, guided quoting, required-field logic, and automated reconciliation that make an incorrect order hard to submit in the first place. - Own the field experience of transacting. Treat the rep as the customer: fewer steps, fewer handoffs, shorter quote cycle time, and a standard path that is obvious and self-service. Measure whether it is getting easier. - Build and run marketplace transaction operations across AWS, GCP, and Azure. Private offers, CSP transactions, co-sell mechanics, and the tooling and automated reconciliation that keep marketplace bookings tied out across the marketplace, Salesforce, and billing. - Operationalize commercial review. Encode approval rules and guardrails in the system so routine deals route themselves, and escalate the structures that break the system rather than quietly processing them. - Build the transaction path for new products and acquisitions. Stand up order management, quoting, and the marketplace path for new offerings and newly acquired products, test the flow through to booking before go-live, and be ready to transact on day one. - Own the integrity of the commercial record. Products, SKUs, pricing, contract terms, and booking attributes in Salesforce, with the controls and monitoring that keep them clean – the forecast and revenue reporting downstream depend on it. - Instrument and report on the system you own. Cycle time, touch count, SLA attainment, exception and discount volumes, error and rework rates. Use the data to decide what gets built next. WHAT YOU BRING ALONG - 6+ years in commercial operations, deal desk, order management, sales operations, or revenue operations, including time owning a high-volume transactional process. - A track record of building, not just running. You have replaced a manual process with a designed one and can point to the automation, the controls, and the measured result. - Hands-on depth in Salesforce and Salesforce CPQ. You write requirements, design quoting and approval logic, configure and test it yourself, and can tell a configuration problem from a process problem. - Technical range beyond the admin console: flows and validation logic, API-based and marketplace integrations, and scripting or SQL to reconcile and investigate data at volume. You can partner with Revenue Engineering as a peer on design. - Experience with usage-based or consumption-based contracts: metering, commits, overages, contract structure, and the downstream billing and revenue recognition implications. - Experience operating across a shared quote-to-cash process. You know where order management ends and Accounting begins, and you design the handoff so neither side is cleaning up after the other. - Marketplace operations experience with AWS, GCP, or Azure – private offers, CSP transactions, and reconciliation – strongly preferred. - Process-engineering instincts. You instrument before you optimize, design for the standard case and route the exception, and measure by throughput and error rate rather than activity. - A bias toward field experience. You have made a transactional process materially faster or simpler for a sales team and can describe how you knew it worked. - Comfort partnering with Accounting, Finance, and Legal on order form and contract mechanics. - Sound judgment under deal pressure. You can hold the line on a structure that breaks the system, and advocate for the field when the exception is justified. - Clear written and verbal communication. You can explain a commercial rule to a rep in one paragraph and brief leadership on what's at risk at quarter-end. - Experience managing or mentoring analysts a plus; this role is expected to grow a team as volume scales. - Bachelor's degree, quantitative or technical field preferred. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations San Francisco, US We are only considering locally based candidates OR candidates looking to move to the Bay Area. Senior Customer Engineer - (AI & Start-Ups) For San Francisco based hires: Estimated annual salary of $213,500 – $335,500 OTE, Base + Commissions. About the Role Digital Native SEs at Cloudflare work with the most innovative and cutting-edge companies on the planet — the startups and high-growth, cloud-native businesses that are building the next generation of Internet products. These are companies where the developers are the decision makers, and where the CTO is often personally responsible for shipping new products and getting the company's AI initiatives off the ground. This role is for a technologist who genuinely enjoys being in the room with builders. You'll be equally comfortable jumping into a Slack channel with a founding engineer, whiteboarding an architecture with a lead developer, and stepping into a strategic conversation with a CTO about their platform and AI roadmap. You speak the language of engineers fluently and can hold a credible, detailed technical conversation — but this is not a software developer role, and you won't be writing production code every day. Your superpower is technical discovery, translation, and evangelism: understanding what a builder is trying to accomplish, mapping it to the full breadth of the Cloudflare Developer Platform, and inspiring teams to build on Cloudflare rather than just consume a single service. The Digital Native segment leans heavily on Solutions Engineering to lead technical discovery within the cloud-developer vertical. You'll be expected to go deep on the Cloudflare Developer Platform — Workers, Durable Objects, Workers AI, R2, KV, D1, Vectorize, Queues, Pages, and the broader developer ecosystem — far beyond basic storage, and to make the case for Cloudflare as the place to build. This role covers both the acquisition of new Digital Native accounts and the expansion of existing ones. The ideal candidate is a "builder" personality with a strong mix of pre-sales/technical customer-facing experience who thrives in an agile, fast-moving environment. What you'll do as a Senior Solutions Engineer The Pre-Sales Solution Engineering organization owns the technical sales of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solution Engineering is made up of individuals from a wide range of backgrounds including but not limited to Sales Consultants, Technical Consultants, Technical Support and Program Managers. You are a customer-facing technologist within the Cloudflare Solutions Engineering team, focused on the developer-first, digital-native segment. You have experience in a pre-sales or other technical customer-facing role, and you're at your best when engaging directly with engineering teams and technical founders. In this role you'll partner closely with the sales team from the very start of the cycle — joining early discovery calls, qualifying opportunities from the get-go, and embedding yourself in customer Slack channels and working sessions. You'll lead technical discovery, deliver compelling demos and architecture discussions, run proof-of-concept builds, and evangelize the Cloudflare Developer Platform as the foundation for our customers' next products and AI initiatives. Responsibilities Specifically, we are looking for you to: Lead technical discovery within the cloud-developer vertical — asking the right questions to uncover how a customer builds, what they're trying to ship, and where Cloudflare fits. Engage early and often: join sales-led discovery calls from the outset, help qualify deals from the get-go, and stay embedded with customer teams (including in their Slack channels and working sessions) throughout the cycle. Identify and map customer initiatives and business problems — especially around new product development and AI initiatives — to the Cloudflare platform. Build relationships and technical champions within customer accounts, from founding engineers and developers up to the CTO. Develop and present tailored technical content and demos for both hands-on developer audiences and senior technical leadership. Lead demo and proof-of-concept / build activities for Cloudflare prospects and customers. Evangelize the Cloudflare Developer Platform (Workers, Workers AI, Durable Objects, R2, D1, KV, Vectorize, Queues, Pages and more) — making the case for customers to build on Cloudflare, not just use it for storage or CDN. Demonstrate your expertise with your peers through the creation of professional content, including reference architectures, demos, blog posts and other knowledge-sharing activities. Represent and evangelize Cloudflare externally at Developer, Community, Technology and Industry events with thought leadership and expertise. Apply in-depth vertical knowledge or domain expertise. Advise on best practices. Desirable Skills, Knowledge, and Experience Previous experience as a Solutions Engineer or other customer-facing technical role, ideally selling to or working with developer-led, cloud-native, or startup organizations. A genuine "builder" mindset and the personality to match: you enjoy talking to developers, you're curious, and you naturally gravitate toward technical problem-solving conversations. The ability to speak engineers' language credibly — you can hold your own on architecture, APIs, and platform design — without this being a hands-on, code-every-day developer role. Strong technical discovery instincts: you know how to draw out requirements, qualify fit early, and separate real needs from noise. A good mix of pre-sales / technical sales experience and comfort operating in an agile, fast-moving environment (joining Slack channels, iterating quickly, engaging in early-stage calls, and qualifying deals from the start). Solid communication, written and presentation skills, with the range to talk to both a hands-on developer and a CTO in the same day. Ability to work on several projects and activities concurrently. Highly driven, curious, team-oriented, and able to work with a sense of urgency. You've built web applications before, or contributed to existing web applications in a meaningful way — enough to have real empathy for how developers work. Polished communication and executive presentation skills with the ability to drive a discussion with a broad range of stakeholders (from the web developer to the CTO/CISO). Relationship building: a proven track record of building deep technical relationships with engineers and technical founders. Experience managing various stakeholder relationships to build consensus on technical solutions/projects. Experience managing technical sales within accounts, including developing champion-style relationships, driving technical wins, and assisting with technical validation. Bachelor's Degree or equivalent in relevant work experience. The role requires up to 50% travel to attend meetings with prospects or customers, attend conferences and other industry events, and to collaborate with your Cloudflare teammates. A deep understanding of the Cloudflare Developer Platform and core industry components (and a desire to learn more): The Cloudflare Developer Platform — serverless compute and application development with Workers, Durable Objects, Workers AI, R2, KV, D1, Vectorize, Queues, and Pages. Familiarity with building or architecting applications on a serverless/edge platform is a strong plus. AI/GenAI application patterns — inference at the edge, RAG, vector databases, and how startups are operationalizing AI initiatives. HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), and serverless application development. Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP. Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management. Zero-trust network access (ZTNA & SASE) concepts including identity management and authentication. Cloud computing technologies such as AWS, GCP, Azure and others. Some scripting or programming familiarity with one or more of JavaScript/TypeScript, Python, Golang, BASH — enough to read code, build a demo, and converse with engineers (not to ship production software). Understanding of, or experience with, regulatory requirements such as FedRAMP, GDPR, PCI DSS, HIPAA, SOC-2, ISO/IEC. An undergraduate degree in Computer Science, Engineering or a related field. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome. You can translate technical concepts and jargon for a wide variety of audiences: from systems engineers, to front-end developers, through to technical founders and C-levels. You want to be constantly learning new things and teaching what you've learned to the broader team through internal and external blog posts, team demos, and product training sessions. You have a knack for understanding problems and finding creative ways to solve them. Our product suite is ever-growing, and knowing how to identify which parts will solve a customer's particular problem is important. You understand how to manage a project, work to deadlines, and prioritize between competing demands. Compensation Compensation may be adjusted depending on work location. For San Francisco based hires: Estimated annual salary of $213,500 – $335,500 OTE, Base + Commissions. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: United States (Remote); San Francisco, California Workplace: Remote SUMMARY The Cloud Capacity team plays a critical role in ensuring the Temporal Cloud is scalable, efficient, and reliable for our customers’ most important workloads. As a Senior Engineer, you’ll lead high-impact initiatives to build systems that intelligently manage and forecast resource needs, directly influencing our infrastructure efficiency, customer experience, and platform cost strategy. What You'll Do - Drive the technical vision and roadmap for Temporal’s Cloud Capacity systems in partnership with engineering and product leadership. - Design and implement infrastructure to track resource utilization, forecast consumption, and support automated capacity planning at scale. - Lead development of a resource manager that optimizes infrastructure efficiency based on usage trends, cost insights, and evolving customer needs. - Collaborate cross-functionally with Product, Cloud Infrastructure, and Finance to inform business-critical decisions around provisioning, pricing, and scaling. - Guide long-term strategy to support intelligent autoscaling, workload isolation, and predictable performance in a multi-tenant cloud environment. What You'll Bring - Proven experience contributing to large-scale infrastructure efforts spanning cloud compute, storage, and networking systems. - Strong product and operational intuition around managing cloud costs, utilization tracking, and workload forecasting. - A track record of designing distributed systems and services in a production cloud environment (preferably AWS, GCP, or Azure). - Hands-on experience with container orchestration technologies (e.g., Kubernetes) and the surrounding ecosystem. - Exceptional collaboration and communication skills—you influence through clarity, and you bring others along for the journey. - Comfortable aligning cross-functional stakeholders on complex infrastructure problems, including executives and finance partners. - 7+ years of experience building production software using Go, Java, or similar languages.               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.