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Location: Baku Workplace: onsite ABOUT YOU You will build high-performance interfaces that power our promotional tools, segmentation dashboards, and real-time operational workflows used by game studios worldwide. This role requires strong technical skills, a product mindset, and a passion for crafting fast, elegant UIs at scale.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. RESPONSIBILITIES Build and evolve scalable, high-performance web applications using React (or Vue) with Next.js for SSR and modern web delivery. Collaborate with product managers, designers, and backend engineers to translate complex monetization workflows into intuitive user experiences. Optimize frontend performance, focusing on loading times, rendering speed, and bundle efficiency, especially in data-heavy dashboards. Ensure cross-browser and multi-device compatibility while meeting accessibility (a11y) and usability standards. Participate in code reviews, share best practices, and help maintain high engineering standards within the frontend team. Work closely with DevOps to streamline CI/CD pipelines, improve deployment reliability, and enhance observability through metrics and monitoring tools. Own features end-to-end requirement refinement, implementation, testing, and delivery. REQUIREMENTS 3-5+ years of professional experience in frontend development using React or Vue (React + Next.js preferred). Solid experience with Next.js (SSR, SSG, routing, API routes, caching, and performance optimization). Strong skills in JavaScript (ES6+) and TypeScript, with a good understanding of component architecture and design patterns. Experience with modern tooling (Vite, Webpack, Babel) and UI frameworks (Tailwind CSS, styled-components, Vuetify). Hands-on experience with state management systems (Redux, Vuex, Pinia, Context API, or React Query/SWR). Familiarity with CI/CD pipelines, Git workflows, and testing frameworks (Jest, RTL, Vue Test Utils). Strong understanding of performance tuning, responsive design, and cross-platform development. Proficiency in Figma for designing UI/UX layouts, components, and interactive prototypes. Experience with Framer Motion for building high-quality animations and micro-interactions in React applications. Excellent communication skills, proficiency in English for technical discussions and documentation. NICE TO HAVE Experience with TypeScript-first environments. Exposure to micro-frontends, edge rendering, or PWAs. Knowledge of animation frameworks (GSAP, Three.js ) or advanced motion/interaction design. Background in gaming, fintech, or high-load consumer platforms. Experience with analytics dashboards, virtualization libraries, or complex internal tools. Familiarity feature flagging, AB testing, or Monetization systems. Experience migrating legacy codebases or leading UI modernization projects. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

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: Singapore or Sydney About the department In this role, you will be focused on maintaining the Cloudflare global network. You'll work closely with Cloudflare’s SRE (Site Reliability Engineering) team, Network Engineering team, Network Deployment Engineering team and with various vendors and partners (including hardware vendors, datacenter and network providers, and ISPs) to maintain and improve our global infrastructure. You will further be responsible for the development and implementation of consistent processes and visibility measurements for consistent and effective management of our infrastructure. This is a highly visible position that requires deep technical understanding of datacenter infrastructure, networking (physical), and basic experience with data analysis and project management. To be successful in this position, you should have excellent technical skills, communication skills, and be able to navigate a range of challenges and constraints (e.g. schedule adherence, time zones, and cultures). You will have the opportunity to (literally) build a faster, safer Internet for our millions of users and the billions of web surfers that visit their sites each month. Who you are You will thrive in a hypergrowth engineering environment and be self driven with a keen attention to detail. You will come with a deep technical understanding of Data Center colocation environments, network architecture and server technologies. You will be used to working through partners to support infrastructure delivery to a number of remote locations. You will have had experience managing operational environments, and used to developing new approaches to improve delivery efficiency or operational stability. What you'll do Collaborating with internal teams (Infrastructure, Network Engineering and SRE). Create documentation and manage remote contractors to complete datacenter tasks, working with hardware manufacturers, datacenter and network providers, logistics partners and other service providers in support of our 330+ cities and 125+ countries Maintain Data Center environment operational availability Leverage AI tools to automate repetitive operational tasks, accelerate documentation, and speed up troubleshooting and root-cause analysis Creating and maintaining documentation, plans, SOP’s, MOP’s etc. Support and configure network infrastructure where required Providing feedback to internal teams to support internal tools and external vendor partnerships Required Experience Experience with Juniper, Cisco and DWDM network equipment Minimum of 4 years experience of Linux systems administration Experience managing and instructing remote contractors Familiarity with work required to stand up infrastructure in remote colocation facilities Experience running and improving operational processes, including automation tooling, in a rapidly changing environment Familiarity with day-to-day tasks and projects common to Data Center Operations (deployment, migration, decommissioning etc.) Comfortable handling basic program management responsibilities (prioritization, planning, scheduling, status reporting) such as JIRA Participate in a shared on-call rotation to maintain 24×7 operational availability of the global network. Other Responsibilities May Include Aggressively seek opportunities to introduce cutting-edge technology and automation solutions that are effective, efficient and scalable in order to improve our ability to deploy and maintain our global infrastructure Assist with the definition, documentation and implementation of consistent processes across all region Limited travel Examples of desirable skills, knowledge and experience Bachelor’s degree; technical background in engineering, computer science, or MIS Direct experience executing on complex data center/infrastructure projects Previous experience installing / maintaining data center (and other IT) infrastructure and DCIM tools Experience running and improving operational processes in a rapidly changing environment Strong verbal and written communication skills, problem-solving skills, attention to detail, and interpersonal skills Must be proactive with proven ability to learn fast and execute on multiple tasks simultaneously Ability to manage Microsoft Excel and Google Sheets Comfortable handling basic program management responsibilities (prioritization, planning, scheduling, status reporting) such as JIRA Must be a team player Bonus Points Experience working with infrastructure in multiple countries Comfortable with remote “lights-out” and out-of-band access to data center resources Linux certifications (RHCSA etc.) Network certifications (CCNA, JNCIA or higher) Configuration management systems such as Saltstack, Chef, Puppet or Ansible Scripting or software development experience in Bash, Python or Go-lang Familiarity with load balancing and reverse proxies such as Nginx, Varnish, HAProxy, Apache Experience in working within a large scale SaaS vendor 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: Москва Workplace: гибкий Мы разрабатываем крупнейший мессенджер в России, чтобы соединять людей, сервисы и компании. Создаём простые и удобные инструменты коммуникации. Задачи Чем предстоит заниматься: Разрабатывать и поддерживать frontend-приложения на React и TypeScript Реализовывать адаптивные интерфейсы для desktop- и mobile-сценариев Интегрироваться с backend API, внешними сервисами и при необходимости с возможностями мобильного приложения через bridge/API хоста Поддерживать и улучшать существующую кодовую базу: рефакторинг, устранение технического долга, повышение стабильности и читаемости кода Писать unit- и интеграционные тесты Участвовать в декомпозиции, оценке и планировании задач Участвовать в код-ревью и обмене знаниями внутри команды Взаимодействовать с backend-разработчиками, дизайнерами, аналитиками, QA и продуктовой командой Участвовать в проектировании frontend-приложений и выборе технических решений Разрабатывать и поддерживать веб-мини-приложения, работающие внутри мобильного приложения / WebView Разрабатывать и поддерживать переиспользуемые UI-компоненты и дизайн-систему Работать с производительностью: оптимизировать загрузку, размер бандла, рендеринг, Core Web Vitals, Lighthouse-метрики Участвовать в улучшении инструментов и процессов разработки: сборки, CI/CD, проверок качества и автоматизации Писать техническую документацию, гайды и инструкции для команды Требования Что ожидаем от кандидата: Коммерческий опыт frontend-разработки на JavaScript/TypeScript от трёх лет Уверенный опыт коммерческой разработки на React Уверенное знание TypeScript, React, компонентного подхода, хуков, управления состоянием и жизненного цикла приложения Умение самостоятельно разрабатывать и поддерживать frontend-функциональность в рамках поставленных задач Умение декомпозировать задачи на понятные технические шаги Способность предлагать технические решения и обсуждать их с командой Опыт работы с библиотеками управления состоянием: Redux или аналогичными Уверенное знание HTML, CSS, адаптивной и кросс-браузерной вёрстки Опыт интеграции с REST API, WebSocket и асинхронными сценариями взаимодействия с backend Опыт написания тестов: Jest, React Testing Library или похожий стек Уверенное владение Git: ветки, merge/rebase, pull/merge request, code review Понимание принципов frontend-производительности: lazy loading, code splitting, tree shaking, оптимизация ассетов, Web Vitals Опыт работы с CSS Modules, CSS-in-JS, PostCSS, Sass или аналогичными инструментами Понимание особенностей разработки под mobile web: адаптивность, touch-сценарии, ограничения браузеров и WebView Опыт работы с инструментами сборки: Webpack, Vite, Rspack или аналогичными Будет плюсом Опыт разработки веб-приложений внутри WebView или мобильных mini app-сценариев Опыт настройки или поддержки инструментов сборки: Webpack, Vite, Rspack или аналогичных Умение работать с задачами высокой неопределённости Готовность общаться напрямую с бизнес-заказчиками и помогать уточнять требования Способность и готовность разобраться в смежных областях при необходимости, например в CI/CD Английский язык на уровне чтения технической документации

Location: Москва Workplace: Гибридный О компании МТС — это цифровая экосистема. Мы создаём и развиваем сервисы в сфере мобильной связи, больших данных, искусственного интеллекта, облачного хранения, медиа и финансов — все они делают жизнь людей проще и интереснее. Обязанности Разрабатывать и актуализировать дорожную карту автоматизации RAN-домена: оценить текущей уровень зрелости по методологии TM Forum ANLET, определить целевые уровни L3–L4 для процессов планирования, оптимизации и развития RAN; Формировать каталог сценариев автоматизации (High-Value Scenarios, HVS): выявлять приоритетные use-cases с максимальным ROI — self-planning, self-optimizing, self-healing, energy saving, capacity management; Внедрять AI/ML-моделей для автоматизации RAN: прогнозировать трафик и качество, автоматическую тюнинг-оптимизацию параметров, детекция аномалий, root-cause analysis, drive-test automation и т.д.; Проектировать и внедрять closed-loop сценариев (intent-based automation) на стыке OSS, EMS/NMS и RAN-инструментов автоматизации; согласовывать архитектуры с TM Forum ANLET-фреймворком; Заниматься постановкой требований к данным RAN для платформы AN: интеграция источников (Common MR/MDT MR, PM/FM-счётчики, конфигурационные данные, geolocated метрики) с DataLake МТС и MWS; Внедрять метрики и KPI автономности (Autonomy Score, MTTR, share of automated changes, energy savings) в соответствии с TM Forum IG1218K; Сопровождать пилотные проекты автоматизации: подготовить техническое задание, приёмочное испытание, оценка бизнес-эффекта, тиражирование успешных сценариев на всю сеть; Взаимодействовать с вендорами поставщиками основного оборудования, ПАК и научно-исследовательскими партнёрами в части разработки и апробации новых алгоритмов автоматизации; Формировать требования к компетенциям RAN-инженеров и готовить программы переобучения в рамках перехода от manual-режима к supervised/autonomous операциям. Требования Высшее техническое образование (телекоммуникации, радиотехника, информационные технологии, прикладная математика); Опыт работы в области радиосетей 4G LTE / 5G NR не менее 7 лет, из них не менее 3 лет — на позициях, связанных с автоматизацией, SON или RAN-оптимизацией; Глубокое знание архитектуры RAN: eNodeB/gNB, протокольные стеки L1/L2/L3, интерфейсы S1, X2, Xn, F1, E1, O1/O2 (O-RAN); Практический опыт работы с SON-решениями. Настройка и оптимизация алгоритмов ANR, MLB, MRO, PCI, load balancing, coverage/capacity optimization; Опыт работы с инструментами планирования радиосетей: Atoll Forsk, Aircom Asset / Actix / Mentum Planet / TEMS Planet; Владение английским языком: деловая переписка, разговорный. Понимание методологии TM Forum Autonomous Networks (ANLET, IG1230, IG1218K): уровни автономности L0–L5, framework оценки зрелости, closed-loop процессы, intent-based operations; Будет плюсом опыт внедрения AI/ML-моделей в задачи RAN: прогнозирование, кластеризация, детекция аномалий, понимание жизненного цикла ML (MLOps); Будет плюсом опыт работы с большими объёмами данных: SQL, Python (уверенный уровень), Pandas/NumPy, Spark; BI-инструменты (Tableau/Power BI, Superset); Понимание методологии 3GPP TS 32.450 / TS 32.401 / TS 28.554 в части KPI/KQI RAN-сети. Условия программа ДМС с первого месяца работы - это 100% покрытие расходов в частных клиниках, включая стоматологию. Застраховать близких родственников можно со скидкой 50%. Для любителей путешествий - страховка в поездках за границу. А еще есть страхование жизни; очное и онлайн-обучение в Корпоративном университете, у внешних провайдеров, если это полезно для работы, обмен опытом во внутренних профессиональных сообществах, а также доступ к онлайн-библиотеке в полезными книгами и периодикой; оплачиваемые выходные на значимые события в жизни сотрудника; материальная помощь в сложных жизненных ситуациях; корпоративная мобильная связь + интернет, а так же единая подписка МТС Premium (онлайн кинотеатр KION, сервис МТС Music, МТС Строки и т.д.); предложения от партнёров для путешествий, развлечений и занятий спортом; возможность участия в волонтерских программах: мы организуем благотворительные ярмарки, образовательные проекты для детей, конкурсы социальных проектов и экологические проекты; внутренняя спортивная программа «В движении»: забеги, марафоны, турниры по разным видам спорта, медитации и занятия на баланс.

Location: San Francisco; Remote (United States); Seattle; New York City Perplexity serves hundreds of millions of queries a month. Every answer, every Perplexity Computer task, and every enterprise deployment runs on production infrastructure owned by the Cloud Infrastructure team: a fleet of Kubernetes clusters across a multi-account AWS estate, private networks that reach hyperscalers and the neoclouds serving our models, and the storage underneath our user data and agentic workloads. We're looking for SREs who treat reliability as a software problem. You'll own compute, networking, and storage at scale and keep production stable while everything built on top of it is changing fast. RESPONSIBILITIES - Own production at scale. Run the compute, networking, and storage foundation behind Perplexity's consumer, Computer, API, and enterprise products, and own its availability, latency, and cost. - Run our Kubernetes fleet. Operate and upgrade the EKS clusters that host web services, search, datastores, and secure sandboxes. Tune scheduling, autoscaling, node lifecycle, DNS, and service networking so clusters stay healthy under bursty, fast-growing load. - Engineer the network. Design and operate VPC architectures, Transit Gateway and PrivateLink connectivity, load balancing, DNS, and egress across accounts, regions, and cloud providers. - Keep data durable and fast. Own the storage layer (EBS, S3, DynamoDB, and the managed databases and caches our services depend on), including performance, durability, backups, and restores that have actually been tested. - Manage everything as code. Run infrastructure through Terraform and CI/CD. Build reusable modules and guardrails, and make every change reviewable, repeatable, and safe to roll back. - Prepare for failures. Define SLOs, build alerts that someone can act on, design for zone and regional failure, and run game days and disaster-recovery exercises that prove recovery works. - Lead incident response. Be on the critical path when things break. Drive incidents to resolution, write blameless postmortems, and land the fixes so the same failure never pages anyone twice. - Scale ahead of demand. Own capacity planning, quotas, reservations, and cost efficiency so product launches and traffic spikes never wait on infrastructure. - Automate away the toil. Build tooling, increasingly agent-driven, that turns provisioning, upgrades, and remediation into self-serve, hands-off workflows for every engineering team. QUALIFICATIONS We expect you to have real depth in most of these: - Deep AWS expertise. You know VPC, IAM, EC2, EKS, ELB, Route 53, S3, EBS, etc. well past the console, including their limits, failure modes, and the bill that comes with them. - Production Kubernetes at scale: cluster upgrades, CNI, CoreDNS, autoscalers like Karpenter, and debugging a misbehaving node at 3 a.m. Writing Helm charts alone doesn't count. - Terraform mastery. You've designed module structures, managed state across many accounts, and run large refactors and imports without taking production down. - Strong networking fundamentals (TCP/IP, DNS, TLS, load balancing, routing). - You write real code in Python, Go, or Rust for automation, tooling, and controllers, and you'd rather automate a runbook than follow it. - Fluency with observability tools like Datadog, Prometheus, or Grafana, and the judgment to turn metrics, logs, and traces into SLOs and alerts that matter. - A track record of leading production incidents and turning root-cause analysis into durable fixes. - You own problems end-to-end and do well when the path forward isn't laid out for you. ADDITIONAL EXPERIENCE WE VALUE - Multi-region active-active or failover architectures, and disaster-recovery programs with real recovery targets. - Proxies, service meshes, and kernel-level networking: Envoy, Istio, Cilium, or eBPF. - GitOps and progressive delivery: Argo CD, Flux, or similar. - Enterprise and compliance environments: single-tenant or BYOC deployments, KMS/BYOK, SOC 2 or similar controls. - Running stateful systems in production: Postgres, Redis, or search engines like Vespa or Elasticsearch. - Multi-cloud or neocloud operations (GCP, CoreWeave, or similar). - FinOps: cost attribution, Savings Plans and reservations, and making infrastructure cheaper without making it fragile.

Location: San Francisco; Remote (United States); Seattle; New York City Perplexity serves hundreds of millions of queries a month. Every answer, every Perplexity Computer task, and every enterprise deployment runs on production infrastructure owned by the Cloud Infrastructure team: a fleet of Kubernetes clusters across a multi-account AWS estate, private networks that reach hyperscalers and the neoclouds serving our models, and the storage underneath our user data and agentic workloads. We're looking for SREs who treat reliability as a software problem. You'll own compute, networking, and storage at scale and keep production stable while everything built on top of it is changing fast. RESPONSIBILITIES - Own production at scale. Run the compute, networking, and storage foundation behind Perplexity's consumer, Computer, API, and enterprise products, and own its availability, latency, and cost. - Run our Kubernetes fleet. Operate and upgrade the EKS clusters that host web services, search, datastores, and secure sandboxes. Tune scheduling, autoscaling, node lifecycle, DNS, and service networking so clusters stay healthy under bursty, fast-growing load. - Engineer the network. Design and operate VPC architectures, Transit Gateway and PrivateLink connectivity, load balancing, DNS, and egress across accounts, regions, and cloud providers. - Keep data durable and fast. Own the storage layer (EBS, S3, DynamoDB, and the managed databases and caches our services depend on), including performance, durability, backups, and restores that have actually been tested. - Manage everything as code. Run infrastructure through Terraform and CI/CD. Build reusable modules and guardrails, and make every change reviewable, repeatable, and safe to roll back. - Prepare for failures. Define SLOs, build alerts that someone can act on, design for zone and regional failure, and run game days and disaster-recovery exercises that prove recovery works. - Lead incident response. Be on the critical path when things break. Drive incidents to resolution, write blameless postmortems, and land the fixes so the same failure never pages anyone twice. - Scale ahead of demand. Own capacity planning, quotas, reservations, and cost efficiency so product launches and traffic spikes never wait on infrastructure. - Automate away the toil. Build tooling, increasingly agent-driven, that turns provisioning, upgrades, and remediation into self-serve, hands-off workflows for every engineering team. QUALIFICATIONS We expect you to have real depth in most of these: - Deep AWS expertise. You know VPC, IAM, EC2, EKS, ELB, Route 53, S3, EBS, etc. well past the console, including their limits, failure modes, and the bill that comes with them. - Production Kubernetes at scale: cluster upgrades, CNI, CoreDNS, autoscalers like Karpenter, and debugging a misbehaving node at 3 a.m. Writing Helm charts alone doesn't count. - Terraform mastery. You've designed module structures, managed state across many accounts, and run large refactors and imports without taking production down. - Strong networking fundamentals (TCP/IP, DNS, TLS, load balancing, routing). - You write real code in Python, Go, or Rust for automation, tooling, and controllers, and you'd rather automate a runbook than follow it. - Fluency with observability tools like Datadog, Prometheus, or Grafana, and the judgment to turn metrics, logs, and traces into SLOs and alerts that matter. - A track record of leading production incidents and turning root-cause analysis into durable fixes. - You own problems end-to-end and do well when the path forward isn't laid out for you. ADDITIONAL EXPERIENCE WE VALUE - Multi-region active-active or failover architectures, and disaster-recovery programs with real recovery targets. - Proxies, service meshes, and kernel-level networking: Envoy, Istio, Cilium, or eBPF. - GitOps and progressive delivery: Argo CD, Flux, or similar. - Enterprise and compliance environments: single-tenant or BYOC deployments, KMS/BYOK, SOC 2 or similar controls. - Running stateful systems in production: Postgres, Redis, or search engines like Vespa or Elasticsearch. - Multi-cloud or neocloud operations (GCP, CoreWeave, or similar). - FinOps: cost attribution, Savings Plans and reservations, and making infrastructure cheaper without making it fragile.

Location: San Francisco; Remote (United States); Toronto; Seattle; New York City Perplexity serves hundreds of millions of queries a month, and every one of them fans out into multiple AI inference requests running in real time. Behind that sits a large GPU fleet spread across several cloud providers. Today, our inference engineers and researchers build models while also managing networking, securing capacity, and operating the underlying GPU clusters, responsibilities we want a dedicated platform team to own. Your job is to take ownership of that infrastructure and hide its complexity behind a unified, self-serve platform for running training and inference workloads. RESPONSIBILITIES - Build a self-serve compute platform. Design and own the systems that let inference engineers and researchers launch training jobs and operate inference services without managing GPU provisioning, cluster configuration, or provider-specific infrastructure. - Operate the GPU fleet. Own provisioning, lifecycle management, reliability, and capacity integration across providers, giving teams a consistent way to use compute regardless of where it runs. - Solve for GPU scarcity. Build the scheduling and placement logic that finds available capacity across providers, packs it efficiently, and gets the right workload onto the right hardware under real constraints. - Support two very different workloads. Keep long-running distributed training jobs healthy while simultaneously guaranteeing the availability and latency of production inference services on the same fleet. - Own the Kubernetes for GPU orchestration. Write the operators and CRDs, and manage many clusters across providers so the platform behaves the same everywhere we run. - Make failure boring. Build the fault tolerance, autoscaling, and observability that keep the fleet utilized and let workloads survive node loss, provider hiccups, and capacity shifts without human intervention. - Set technical direction across teams. Partner with inference and cloud infrastructure engineers to turn operational constraints into a coherent platform architecture and roadmap. QUALIFICATIONS We expect you to have real depth in most of these: - Deep Kubernetes experience — custom operators, CRDs, and multi-cluster federation, not just running kubectl apply. - You've managed GPU clusters at scale: NVIDIA hardware, CUDA, and the networking that makes them fast (InfiniBand or RoCE). - You've orchestrated compute across multiple clouds (CoreWeave, AWS, GCP, or similar) and understand how different each one really is. - Strong distributed systems fundamentals: scheduling, resource allocation, and fault tolerance under load. - You write infrastructure and systems-level code in Go, Rust or C++. - You've supported both long-running training jobs and high-availability inference services, and you know why they pull infrastructure in opposite directions. - You own problems end-to-end and do well when the path forward isn't laid out for you. ADDITIONAL EXPERIENCE WE VALUE - Inference serving stacks: vLLM, SGLang, or TensorRT-LLM. - Slurm or other HPC schedulers. - GPU kernel work in CUDA or Triton — not required, but notable. - High-speed interconnects: InfiniBand, RoCE, or RDMA in production. - Observability for ML workloads: Prometheus, Grafana, or Weights & Biases.

Location: San Francisco; Remote (United States); Toronto; Seattle; New York City Perplexity serves hundreds of millions of queries a month, and every one of them fans out into multiple AI inference requests running in real time. Behind that sits a large GPU fleet spread across several cloud providers. Today, our inference engineers and researchers build models while also managing networking, securing capacity, and operating the underlying GPU clusters, responsibilities we want a dedicated platform team to own. Your job is to take ownership of that infrastructure and hide its complexity behind a unified, self-serve platform for running training and inference workloads. RESPONSIBILITIES - Build a self-serve compute platform. Design and own the systems that let inference engineers and researchers launch training jobs and operate inference services without managing GPU provisioning, cluster configuration, or provider-specific infrastructure. - Operate the GPU fleet. Own provisioning, lifecycle management, reliability, and capacity integration across providers, giving teams a consistent way to use compute regardless of where it runs. - Solve for GPU scarcity. Build the scheduling and placement logic that finds available capacity across providers, packs it efficiently, and gets the right workload onto the right hardware under real constraints. - Support two very different workloads. Keep long-running distributed training jobs healthy while simultaneously guaranteeing the availability and latency of production inference services on the same fleet. - Own the Kubernetes for GPU orchestration. Write the operators and CRDs, and manage many clusters across providers so the platform behaves the same everywhere we run. - Make failure boring. Build the fault tolerance, autoscaling, and observability that keep the fleet utilized and let workloads survive node loss, provider hiccups, and capacity shifts without human intervention. - Set technical direction across teams. Partner with inference and cloud infrastructure engineers to turn operational constraints into a coherent platform architecture and roadmap. QUALIFICATIONS We expect you to have real depth in most of these: - Deep Kubernetes experience — custom operators, CRDs, and multi-cluster federation, not just running kubectl apply. - You've managed GPU clusters at scale: NVIDIA hardware, CUDA, and the networking that makes them fast (InfiniBand or RoCE). - You've orchestrated compute across multiple clouds (CoreWeave, AWS, GCP, or similar) and understand how different each one really is. - Strong distributed systems fundamentals: scheduling, resource allocation, and fault tolerance under load. - You write infrastructure and systems-level code in Go, Rust or C++. - You've supported both long-running training jobs and high-availability inference services, and you know why they pull infrastructure in opposite directions. - You own problems end-to-end and do well when the path forward isn't laid out for you. ADDITIONAL EXPERIENCE WE VALUE - Inference serving stacks: vLLM, SGLang, or TensorRT-LLM. - Slurm or other HPC schedulers. - GPU kernel work in CUDA or Triton — not required, but notable. - High-speed interconnects: InfiniBand, RoCE, or RDMA in production. - Observability for ML workloads: Prometheus, Grafana, or Weights & Biases.

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a Machine Learning Engineer with a strong software engineering background to help design and build the corporate analytics platform. In this role, you will contribute both technically and consultatively by identifying limitations, gathering needs and shaping scalable and reliable data and AI solutions. You will contribute to an Analytics Platform that helps turn data and AI assets into business value at scale. The platform is built for large scale digital analytics workloads and includes capabilities comparable to enterprise analytics solutions, with a strong software engineering approach applied to data engineering. Design, build, maintain and operate the corporate digital-analytics data platform. Architect scalable, resilient, high-performance solutions for high-volume, high-transaction data. Develop and maintain ingestion, transformation and load pipelines (batch and streaming). Apply solid data modeling and SQL transformations; manage partitioning for performance and cost. Implement data governance, cataloging, lineage and access controls (security and compliance). Define and follow CI/CD standards for data and AI; apply software-engineering best practices. Operate consultative identify platform limitations, gather requirements and propose solutions. Proven experience in data platform roles, with a strong software-engineering foundation. Solid software design and architecture skills (not only pipeline authoring). Experience with high-volume / high-transaction data platforms. SQL plus a programming language (Python, Java or Scala); Pandas for data processing. Pipeline orchestration (DAGs, Dataform) and data modeling. GCP data stack: BigQuery (partitioning), lakehouse/warehouse, storage, streaming. Google Analytics / GA4 and clickstream data (GA4 → BigQuery export). Data governance, cataloging and cost/performance optimization. Cloud architecture, CI/CD, infrastructure-as-code and containers. MLOps on Vertex AI: model deployment, serving, monitoring and versioning; feature stores and model registries. Ability to operate consultative with technical and business stakeholders; Agile experience. Fluency in Spanish (team language). Experience with LangChain Experience with Agents Experience with Vector DBs

Проектировать понятные пользовательские сценарии для личных кабинетов и административных систем.

Location: Cyprus; Georgia; Poland; Spain; Serbia; Latvia We are looking for an Engineering Director to own the technology platform behind the GoMining ecosystem. This is a senior leadership role for someone who combines deep engineering expertise with strong product and business thinking. You will own the Platform end-to-end — technology strategy, architecture, engineering organization, roadmap, reliability, delivery, and its impact on the wider business. The Platform powers multiple GoMining products and includes core application infrastructure, authentication and authorization, integrations, shared services, analytics infrastructure, user restrictions, native applications, reliability, and other foundational capabilities. This is not a role where success is measured simply by uptime, delivery, or engineering output. We expect the Engineering Director to understand where technology creates or limits business value, make trade-offs between long-term architecture and immediate commercial priorities, and build a platform that allows the entire company to move faster. Responsibilities Platform Strategy & Architecture Own the technology strategy, architecture, and roadmap for the GoMining Platform. Build scalable shared infrastructure used across multiple products and engineering teams. Define which capabilities should be centralized at Platform level and which should remain within individual product teams. Drive major architectural and technical decisions. Identify scalability and architectural bottlenecks before they become business-critical. Balance long-term platform investments with immediate product and commercial priorities. Reliability & Engineering Excellence Own platform reliability, availability, latency, scalability, and operational performance. Define and improve SLAs, DORA metrics, engineering performance, and incident-management practices. Improve release stability, engineering velocity, and system resilience. Lead post-incident improvements and eliminate systemic reliability issues. Maintain a high engineering bar without unnecessary bureaucracy. Core Platform Capabilities Own shared authentication, authorization, registration, and 2FA infrastructure. Develop common account controls, user restrictions, and security mechanisms. Own integrations and shared backend capabilities required across GoMining products. Develop shared analytics and event infrastructure. Support common infrastructure across web and native applications. Partner with Product, Design, Security, and engineering teams on cross-company capabilities. Product & Business Impact Platform at GoMining is not an isolated infrastructure function. You will work directly with product leaders, General Managers, and C-level stakeholders to understand where technology can unlock growth and where platform limitations are holding the business back. Prioritize engineering initiatives based on technical risk and business impact. Understand how platform decisions affect revenue, conversion, customer experience, and product velocity. Identify technical changes that can unlock meaningful business results. Balance competing priorities across multiple product teams. Make clear trade-offs between speed, scalability, reliability, security, and business value. Measure Platform not only through technical metrics, but through how effectively it accelerates the company. Engineering Leadership Lead and develop the Platform engineering organization. Own team structure, hiring, performance, priorities, and execution. Build a culture of strong engineering ownership and accountability. Stay close enough to architecture and technology to challenge decisions and make informed trade-offs. Develop strong technical leaders within the team. Raise the technical and execution bar across the organization. AI-First Engineering Actively use AI tools and agents in your own work. Introduce AI-assisted workflows across engineering, specifications, QA, analytics, and operations. Identify opportunities to automate repetitive engineering work. Use AI to increase engineering velocity and quality. Build a team where AI becomes part of the engineering operating model. Requirements Experience as an Engineering Director, Head of Engineering, Head of Platform, VP Engineering, CTO, or in a comparable senior engineering leadership role. Strong technical background and the ability to engage deeply in architecture and engineering decisions. Experience building or operating complex platforms, shared services, or infrastructure used by multiple products or engineering teams. Proven experience leading engineering teams and delivering complex cross-functional initiatives. Strong understanding of distributed systems, high-load environments, reliability, scalability, incidents, and security. Experience with authentication, authorization, integrations, identity, payments infrastructure, or other shared platform capabilities. Strong product and business mindset — you understand not only how something should be built, but why it matters. Ability to prioritize based on business impact rather than technical complexity alone. Experience working directly with senior product, business, and executive stakeholders. Strong data-driven approach to engineering and decision-making. Hands-on experience with modern AI tools and agents. Experience in fintech, payments, crypto, marketplaces, gaming, or another high-scale technology environment is a strong advantage. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: Afton, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: Within Galaxy’s Data Center team, you are a commissioning leader who has taken large-scale, mission-critical data center facilities from equipment acceptance through energization, functional performance testing, and integrated systems testing, and who has done it across multiple facilities at once. You understand the electrical, mechanical, and controls systems well enough to challenge a test script, read a trend log, and know when a result does not prove design intent. You understand the commissioning process well enough to adapt it, not just follow it, and you can rebuild the test sequence when conditions change. That includes authoring the MOPs and risk controls for completing IST and load-based validation after early turnover, in live or partially occupied environments, without lowering the performance requirements the original plan was designed to prove. You lead teams from the front, hold contractors, OEMs, and third parties to a high standard, and refuse to let schedule pressure compromise a readiness gate. You are equally comfortable on the data hall floor with a startup technician and in the conference room briefing senior leadership on readiness, risk, and forecast. You believe the digital economy depends on infrastructure that is proven before it is energized for customers, and you take ownership of making that proof rigorous. What You'll Do: As Senior Manager, Commissioning at Galaxy's Helios campus in Afton, TX, you will lead all commissioning efforts across the campus on behalf of Galaxy as owner and developer. You will report to the VP, Campus Construction Manager and manage a team of three Commissioning Managers, each assigned to a data center facility. You will work closely with the general contractor's on-site team and Galaxy's third-party commissioning agent, and you will partner with Construction, Pre-Construction, Design Engineering, and Operations to ensure every facility is installed, tested, and proven to design intent, and handed to operations ready for customer service. You will set the commissioning standard for the campus and hold every facility to it. Key Responsibilities: Own Campus Commissioning: Serve as Galaxy's single point of accountability for commissioning across the Helios campus, from design intent review through Level 1-5 commissioning, integrated systems testing (IST), and turnover to operations. Set the campus-wide standards and quality bar. Lead the Commissioning Team: Manage three Commissioning Managers, each embedded at a data center facility. Standardize methods and reporting, balance resources across facilities, and develop talent. Define and Enforce the Commissioning Plan: Own the campus commissioning plan and its alignment to the Owner's Project Requirements and Basis of Design, including acceptance criteria, test standards, and readiness gates. Ensure these are written into GC, trade, and OEM scopes. Validate Testing and Design Intent: Review and approve test scripts, sequences of operation, and IST scenarios across critical power, mechanical cooling, and BAS/EPMS controls and telemetry. Ensure testing proves design intent, redundancy, and failure-mode response. Drive Execution with the General Contractor: Integrate commissioning into the Primavera P6 master schedule and work daily with the GC's commissioning lead and trade partners to confirm readiness, resourcing, and OEM startup support. Hold the GC accountable through readiness reviews, deficiency tracking, and commercial remedies. Direct the Third-Party Commissioning Agent and Issue Closeout: Manage the scope and performance of Galaxy's third-party agent, challenge findings, and maintain a campus-level issues log. Drive every item through root cause, corrective action, and retest to closure. Coordinate Energization and OFCI Equipment: Plan utility energization and load bank testing, enforcing safe work during energized testing in partnership with EHS. Align OFCI equipment delivery, factory testing, and manufacturer startup with the commissioning sequence. Adapt the commissioning sequence and author MOPs to complete Level 4-5 and IST activities after early data hall turnover, without lowering acceptance criteria. Deliver Operational Readiness and Customer Acceptance: Partner with Galaxy Operations and customer delivery teams on documentation, training, operating procedures, witnessed testing, and formal turnover, ensuring each facility meets acceptance criteria at handoff. Report Readiness and Standardize: Provide candid readiness reporting to the VP and senior leadership, and feed lessons learned into design standards, specifications, and Pre-Construction planning. Validate Controls, BAS/EPMS, and Telemetry: Ensure the BAS, EPMS, and associated controls are commissioned as a system, not just as individual points lists. Verify point-to-point integrity, alarm and trend configuration, and operator visibility across all critical power and mechanical systems, including through failure scenarios such as loss of utility, loss of a controls network or server, communication failure, and transfer events. Confirm that telemetry remains accurate and actionable so Operations can see, diagnose, and respond to any failure while redundancy is maintained. What We're Looking For: Bachelor's degree in Electrical or Mechanical Engineering, or a related discipline, or equivalent experience. 10+ years of experience commissioning mission-critical facilities, including 5+ years on large-scale data centers, with at least 3 years in a leadership role directing commissioning through Level 5 / IST. Demonstrated success leading commissioning across multiple concurrent facilities on a single campus. Experience managing and developing commissioning managers or engineers. Deep technical knowledge of critical power systems, including medium- and low-voltage distribution, protective relaying, UPS, batteries, generators, and transfer systems. Deep technical knowledge of mechanical cooling systems, including chilled water plants, heat rejection, air handling, pumps, and associated controls. Working knowledge of BMS, EPMS, and SCADA architectures, sequences of operation, and fire and life safety system integration. Experience developing, executing, and witnessing IST, including failure-mode and fault scenarios. Familiarity with ASHRAE Guideline 0, NETA acceptance testing standards, NFPA 70E, and NFPA 110. Experience directing GC commissioning teams and third-party commissioning agents, with strong command of test documentation, issue tracking, and P6 schedule integration. Familiarity with Procore, Primavera P6, Bluebeam, SharePoint, and commissioning management platforms. Full-time, on-site presence at Helios (Afton, TX) Preferred: Professional Engineer (PE) license or commissioning certification (e.g., CxA, CCP, BCxP), prior owner-side or owner's representative experience, and OSHA 30. What You Bring: A track record of leading and developing high-performing technical teams. The conviction to hold readiness gates under schedule pressure, backed by data and clear communication. Excellent communication skills and the ability to influence technical and executive stakeholders. Sound judgment under pressure and a bias toward early, honest escalation. A commitment to safety, rigor, and executional excellence. A passion for building world-class infrastructure that supports the growth of the digital economy. What We Offer: Competitive base salary and discretionary bonus Paid Time Off Company-paid health and protective benefits for employees, partners, and other dependents Company Paid Holidays (14) 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Headspace Opportunities to learn about the Crypto industry Free daily snacks and daily meals Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: State of Washington As a full-service engineering, design, and construction services firm, Mi-Tech delivers comprehensive, in-house support for utility, infrastructure and heavy civil projects from planning and design through execution. Our multidisciplinary team provides practical, innovative solutions that emphasize cost efficiency, constructability, and long-term value. Founded in 1985, Mi-Tech has built a reputation for excellence in engineering, design, environmental, laboratory, technical, and field support across the many industries we serve. As a proud member of the Michels Family of Companies, Mi-Tech collaborates across our internationally respected roster of construction craft and professionals to deliver integrated, end-to-end solutions that meet the highest standards of quality and performance. As a Civil Design Engineer – Geostructural & Temporary Works with Mi-Tech Services, you'll support the design and analysis of temporary and permanent structures associated with utility, infrastructure, and heavy civil construction projects. Working alongside experienced engineers, you'll develop practical, constructible engineering solutions for projects involving foundations, retaining walls, earth retention systems, excavation support, and temporary construction structures. Responsibilities include preparing engineering calculations, developing and reviewing design and shop drawings, evaluating structural loads and soil-structure interaction, and supporting project pursuits through preliminary engineering analyses and design evaluations. You'll collaborate with structural and geotechnical engineers, project managers, and field construction teams to solve technical challenges and support safe, efficient project execution. This position offers opportunities to develop technical expertise, gain exposure to complex infrastructure projects, and grow professionally within the Michels Family of Companies. Why Mi-Tech Services Inc.? We are committed to hiring the best people and giving them the best equipment. We are dedicated to improving energy distribution & telecommunication services that serve and improve the communities around us. Our steady, strategic growth revolves around a commitment to quality. If it’s worth doing, it’s worth doing right. We are family owned and operated. We work to see each other succeed, not to increase a stock market valuation. We invest an average of $5,000 per employee on training each year. We want each of our team to learn and grow. We believe everyone is responsible for promoting safety, regardless of job title. We are our brothers’ and sisters’ keeper. We are a part of the Michels Family of Companies – one of North America’s largest, most diversified energy and infrastructure construction companies. We offer a comprehensive benefits program including: Health, Dental, and Life Insurance Flexible Spending Accounts (FSA) and Health Savings Account (HSA) Short- and Long-Term Disability Insurance 401(k) Retirement Plan Legal Assistance and Identity Theft Protection Plans (Benefits may vary based on position and location) Why you? You like to surround yourself with dedicated, genuine, value-driven people. You are up to new challenges and opportunities. You like to learn and try new things. You cringe when you hear: “Because that’s the way we’ve always done it.” You like to know your efforts are noticed and appreciated. You believe that individual commitment to a group effort is key to success. You want your work to make a tangible difference in people’s lives. Required Qualifications Bachelor's degree in civil engineering, Structural Engineering, or a closely related engineering discipline. 0–3 years of relevant engineering experience preferred, including internships, co-ops, or applicable engineering project experience. Foundational knowledge of structural analysis, engineering mechanics, and reinforced concrete or steel design. Familiarity with engineering calculations, technical drawings, and design documentation. Working knowledge of AutoCAD and Microsoft Excel. Strong analytical, problem-solving, and organizational skills. Ability to collaborate effectively with engineering and construction teams. Strong written and verbal communication skills. Valid driver's license and an acceptable driving record as determined by the Michels Review Team. Preferred Qualifications Master's degree in civil engineering with an emphasis in structural or geotechnical engineering. Successful completion of the Fundamentals of Engineering (FE) exam or Engineer-in-Training (EIT) certification. Experience or academic exposure involving retaining walls, foundations, shoring, excavation support, temporary works, or other geostructural systems. Familiarity with structural or geotechnical analysis software such as Mathcad, SAP2000, STAAD.Pro, RISA, LPILE, PY-WALL, PLAXIS, or similar applications. Experience with finite element analysis, load calculations, or soil-structure interaction. Previous construction field experience involving heavy civil, bridges, foundations, underground utilities, or infrastructure projects. Familiarity with applicable ACI, AISC, ASCE, or other engineering design standards. This information reflects the anticipated base salary for this position based on current market data. Minimums and maximums may vary based on location. Actual pay will be adjusted based on individual’s skills, experiences, education, and other job-related factors permitted by law. Expected Salary Range $95,000 — $133,000 USD AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: TBD 🏢 Work Arrangement: Remote opportunities for U.S. and Canadian citizens; relocation assistance and bonus available for qualified UK and European candidates 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Remote & Relocation Opportunities U.S. and Canadian Citizens: Remote work arrangement available. UK and European Candidates: Relocation assistance and a relocation bonus are available for qualified candidates relocating to Canada. Candidates should be comfortable collaborating with multidisciplinary spacecraft engineering teams. Important Screening Requirements 5+ years of experience verifying aerospace subsystems, embedded robotics, or satellite platform architectures. Strong technical knowledge in one or more of the following areas: Power electronics Orbital mechanics Thermal management Control systems Experience developing automated test scripts using Python or MATLAB . Experience controlling power supplies, electronic loads, and simulated sensor inputs through automated testing. Familiarity with space-industry data protocols and avionics testing architectures. Understanding of satellite bus subsystems and their interfaces. About the Role We are seeking a Platform Systems Verification and Validation (V&V) Engineer to verify and validate satellite bus systems, ensuring that core infrastructure subsystems operate correctly and are ready to support spacecraft payloads. This role focuses on the functional verification of essential satellite platform systems, including electrical power, thermal control, propulsion, and attitude control. You will test subsystem performance, validate interfaces, and ensure systems respond correctly to onboard flight software. The successful candidate will bring hands-on experience in system verification, automated testing, and satellite platform technologies, helping ensure reliable satellite bus performance in support of mission operations. What We’re Looking For We’re looking for a hands-on systems verification and validation engineer with experience testing complex aerospace systems, developing automated test scripts, and troubleshooting subsystem interfaces. The ideal candidate understands satellite platform architectures and can verify subsystem functionality, simulate operating conditions, validate communications between systems, and identify issues before spacecraft deployment. Strong candidates will combine technical knowledge of satellite subsystems with practical testing and automation skills, analytical problem-solving, and the ability to work across multidisciplinary engineering teams. Key Responsibilities Satellite Bus Subsystem Verification Test and validate critical satellite platform subsystems, including: Attitude Determination and Control Systems (ADCS) Electrical Power Subsystems (EPS) Thermal Control Systems (TCS) Propulsion systems Verify that platform subsystems function according to system requirements. Evaluate subsystem performance and identify issues that could affect spacecraft operations. Support verification activities to ensure satellite bus readiness for payload integration. Hardware-in-the-Loop (HIL) Testing Use Hardware-in-the-Loop (HIL) testbeds to simulate orbital dynamics and sensor inputs. Simulate inputs from spacecraft sensors, including: Star trackers GPS Sun sensors Verify ADCS functionality and pointing accuracy under simulated operating conditions. Analyze test results and troubleshoot unexpected subsystem behavior. Power & Harness Validation Perform spacecraft power budget verification. Conduct battery charge and discharge cycle testing. Support Solar Array Simulator (SAS) integration . Validate electrical power subsystem behavior under relevant operating conditions. Identify power-related issues and support troubleshooting during verification activities. Flight Software Integration & Testing Verify the interaction between satellite platform hardware and onboard flight software. Test command routing and telemetry packet generation. Validate Fault Detection, Isolation, and Recovery (FDIR) loops. Confirm that platform subsystems respond correctly to software commands and simulated fault conditions. Troubleshoot integration issues involving hardware, software, and subsystem behavior. Subsystem Interface Verification Verify physical, data, and electrical interfaces between satellite platform subsystems. Validate communication and data exchange using protocols such as: CAN SpaceWire RS-422 Identify and troubleshoot interface compatibility issues. Confirm that subsystem interfaces operate according to applicable requirements and specifications. Automated Testing & Technical Analysis Develop automated test scripts using Python or MATLAB . Automate test equipment and simulated sensor inputs, including power supplies and electronic loads. Execute repeatable verification procedures and analyze test results. Document test findings and support the investigation of subsystem anomalies. Help improve testing efficiency, repeatability, and reliability. Required Qualifications 5+ years of experience verifying aerospace subsystems, embedded robotics, or satellite platform architectures. Strong technical knowledge in one or more of the following: Power electronics Orbital mechanics Thermal management Control systems Experience developing automated test scripts using Python or MATLAB. Experience automating or controlling test equipment, including power supplies and electronic loads. Familiarity with simulated sensor inputs and hardware-in-the-loop testing. Familiarity with space-industry data protocols and avionics testing architectures. Understanding of satellite bus subsystems and system interfaces. Strong troubleshooting, analytical, and problem-solving skills. Preferred Qualifications Experience working with satellite platform systems and spacecraft bus architectures. Hands-on experience with ADCS, EPS, thermal control, or propulsion subsystem verification. Experience with HIL testbeds and simulated orbital dynamics. Experience with battery charge/discharge testing and Solar Array Simulator integration. Experience testing flight software command routing, telemetry, and FDIR functionality. Familiarity with CAN, SpaceWire, and RS-422 communication protocols. Experience developing automated verification procedures for complex aerospace systems. Ideal Candidate Profiles Candidates with experience in the following roles are encouraged to apply: Platform Systems Verification and Validation Engineer Satellite Systems V&V Engineer Satellite Systems Integration and Test Engineer Aerospace Verification Engineer Spacecraft Systems Test Engineer Embedded Systems Validation Engineer Satellite Platform Test Engineer Avionics Verification Engineer Candidates with hands-on satellite subsystem testing, automated test development, and spacecraft interface verification experience are especially encouraged to apply. 🌎 Work Arrangement & Relocation Remote opportunities are available for qualified U.S. and Canadian citizens. Qualified candidates from the UK and Europe may be considered for relocation to Canada, with relocation assistance and a relocation bonus available.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: VP of Account Management Location: Remote US Compensation Range: $190,000 to $210,000 OTE (70/30 split) plus equity What You’ll Do As Manager of Account Management , you will lead and develop a team of quota-carrying Account Managers responsible for driving Net Revenue Retention (NRR) through product expansion, cross-sell, and renewals across Huntress’ customer and partner (MSP) base. This role is central to scaling Huntress’ post-sale growth motion. You will own your team's performance across expansion, retention, and partner engagement, ensuring customers and partners continue to realize greater value from the Huntress platform as their businesses grow. You will operate as a people leader, coach, and operator—establishing clear expectations, reinforcing execution rigor, and creating a culture of accountability, urgency, and customer obsession. You will work closely with Revenue Leadership, Marketing, Partner, and Revenue Operations teams to drive consistent engagement, effective messaging, and strong adoption across the installed base. This is a high-impact, high-visibility role , with success measured by predictable expansion, strong renewal performance, accurate forecasting, and durable partner relationships. Key Responsibilities Lead, coach, and develop a team of quota-carrying Account Managers in a high-velocity, recurring-revenue sales environment Own team performance against Net Revenue Retention (NRR) , expansion targets, and renewal rates Establish and maintain operating cadence, including forecasting, pipeline inspection, deal strategy, and performance management Hire, onboard, and ramp new Account Managers while continuously developing top performers Reinforce Huntress’ culture of accountability, execution, and customer impact Partner closely with MSPs as a trusted advisor, helping them expand product adoption, improve customer outcomes, and grow their businesses Build and maintain strong executive and operational relationships within partner organizations Execute scalable customer and partner engagement motions that ensure consistent communication, education, and value realization Collaborate cross-functionally with Marketing, Partner, and Revenue Operations teams to optimize campaigns, tooling, and processes What You Bring to the Team 3+ years of experience managing quota-carrying individual contributors in Account Management or Sales roles, with direct responsibility for expansion, renewals, and forecast accuracy in SaaS or consumption-based business models Demonstrated success leading teams responsible for post-sale revenue growth , not just new logo acquisition Experience operating in a partner-led or MSP-centric go-to-market model (strong plus) Working knowledge of the cybersecurity industry (strong plus) Experience using Salesforce as a system of record and Gong (or similar conversation intelligence tools) to drive execution discipline, deal inspection, and forecasting rigor Strong bias toward action, operational discipline, and measurable outcomes Proven ability to coach, motivate, and hold teams accountable in a fast-paced, growth environment What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: EU Remote; Bangalore Workplace: Remote ABOUT THE ROLE We are looking for an experienced software engineer to design, build, and evolve scalable, reliable backend infrastructure that powers Cyberhaven's data security platform. You will work on technically challenging problems involving distributed systems, asynchronous processing, high-throughput data pipelines, storage systems, and cloud-native infrastructure. Our team builds and operates core platform services that process large volumes of data across distributed environments. We focus on scalability, reliability, performance, and efficient resource utilization while continuously evolving our architecture to support new capabilities and growing workloads. This is a hands-on engineering role with significant architectural ownership and opportunities to influence technical direction across the platform. We value engineers who understand how complex systems behave under load, reason about failure scenarios, and make pragmatic engineering trade-offs. WHAT YOU’LL DO - Design, build, and evolve scalable distributed backend systems and high-throughput data processing pipelines. - Develop reliable, high-performance services with a strong focus on concurrency, efficiency, and fault tolerance. - Design and improve event-driven architectures, asynchronous workflows, and distributed coordination mechanisms. - Solve complex engineering challenges involving consistency, retries, idempotency, deduplication, backpressure, and failure recovery. - Make architectural decisions involving distributed storage, messaging systems, and data processing strategies. - Identify and eliminate performance bottlenecks, improving throughput, latency, resource utilization, and infrastructure cost efficiency. - Drive architectural improvements and modernization of existing systems while maintaining production stability. - Own critical services end-to-end, from technical design and implementation to deployment, monitoring, and production operations. - Lead technical design discussions, evaluate architectural trade-offs, and establish engineering best practices. - Collaborate across engineering teams to define technical direction, develop platform capabilities, and solve complex cross-service challenges. WHO YOU ARE - Strong software engineering experience designing, building, and operating complex production backend systems. - Deep understanding of distributed systems fundamentals, concurrency, asynchronous processing, consistency, and fault tolerance. - Strong proficiency in Go, or comparable backend programming experience with the ability to become productive in Go. - Experience designing and operating systems using messaging technologies such as Kafka, Google Cloud Pub/Sub, or AWS SQS. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Poland Workplace: remote About airSlate airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, altaFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.   We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Ukraine and Philippines.  At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment. We are looking for a hands-on leader to run Data Enablement. The team that owns how our data is modeled, trusted, and made ready for the business and for AI. You will lead analytics engineers and web analytics specialists, own the semantic layer end-to-end, and turn raw product and event data into curated, well-documented datasets that people can rely on. WHAT YOU WILL DO: Lead and grow the team. Set priorities, coach, and keep a steady delivery rhythm across analytics engineering and web analytics. Own the semantic layer. Design, build and evolve SQL-based models and metric definitions so that one number means one thing across all our products. Raise data curation and automate the routine. Move the team from ad hoc requests to reusable, tested, documented datasets that people and our AI data assistant can query directly, with tracking checks and data-quality monitoring on autopilot. Set standards and partner across the data organization. Modeling conventions, version control, testing and release practices, code review; work with Data Business Partners, Data Science / ML and Data Platform on scope and ownership. Stay close to the code on critical builds. WHAT WE ARE LOOKING FOR: Experience. 5+ years in analytics, data or BI engineering, including 2+ years leading a team or leading others technically. Expert SQL and Python. You set query and performance standards others follow, rewrite expensive queries and explain the trade-offs, handle incremental loads, deduplication and slowly changing dimensions, and own production Python components that other teams depend on. Data modeling and pipelines. You design warehouse and mart models that several teams build on, including a semantic layer, and choose the methodology (star schema, Data Vault or equivalent) to fit the queries it must serve. You optimize and troubleshoot pipelines on a cloud stack such as AWS (Athena, Redshift, Glue) and orchestration tools such as Airflow. Engineering discipline. You set branching and code review standards, require schema and data tests and CI before release, and lead risky changes with a clear rollout and rollback plan. Data quality and data fluency. You design validation that catches problems before stakeholders do, fix root causes rather than symptoms, set documentation standards, and investigate unfamiliar sources before trusting them. Business impact. You design solution options for complex problems, split cross-team work into pieces with a clear definition of done, build dashboards around the decision they support, and become a trusted partner to business leaders. AI in everyday work. You redesign team workflows around AI tools to drive adoption, and evaluate AI outputs for quality, privacy and bias. Leadership and ownership. You own complex team-level projects, make high-impact decisions from complex information, coach people by spotting skill gaps and giving regular feedback, set clear scope expectations, and turn change into actionable steps for the team. Communication. You clarify complex ideas, build consensus across teams and time zones, and communicate in fluent English. Nice to have: experience with dbt or a similar transformation framework (we may adopt one); web analytics and tracking (GTM, GA4); B2B SaaS or document-workflow / e-signature background. What we offer   Flexible working environment - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries.   Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience,  plus a performance-based bonus system and stock options so you share in the company’s growth.   Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate.   Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge.   Family‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company-wide family days and our pet-friendly approach, we’re committed to making work and life easier to balance.   Giving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams.   Open communication - We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow.       It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.   Read our Recruitment Privacy Notice to Learn how we process your personal information.

Location: Intellias Meet your recruiter Yustyna Vozna yustyna.vozna@intellias.com https://www.linkedin.com... Vacancy details Software Engineering JavaScript Engineer (React) Senior Bulgaria, Croatia, Poland Remote APPLY NOW REFER A FRIEND Make retail great again through the power of technology! Intellias helps retailers provide consistent and customer-centric shopping experiences across all channels with disruptive retail tech solutions. Get on board and make your own contribution to the industry! What project we have for you With great experience come great projects. Just imagine: you can develop a product that should completely change the business of one of the world’s largest companies! Our client is an innovative global company from the Fortune 500. Consumer Goods Producer and Retailer with headquarters in Switzerland that sells its products in 130 countries. Intellias mission is to support its strategy and efforts in the Digital and eCommerce space. A newly conceptualized Digital Eco System is comprised of a set of capabilities including an online shop & website, linking online & offline, customization & personalization, engagement & membership, digital products & services. What you will do Creating technical vision & documentation Participate in architecture and design efforts Code review, code optimization Technical tasks implementation, design, refactoring Collaborate with other engineering teams to resolve dependencies and deliver high-quality software on time, etc. What you need for this Own the design and delivery of reliable frontend features across the Next.js application and shared packages. Collaborate closely with product, design, backend, and QA teams while helping the team make technical decisions. Requirements Senior-level experience delivering production web applications, with 7+ years in frontend development. Strong experience with React, TypeScript, and modern Next.js, including App Router patterns and server/client rendering. Ability to design maintainable components and shared packages/APIs within a large monorepo. Experience integrating frontend applications with GraphQL and REST APIs, including generated types, loading and error states, and evolving backend contracts. Proficiency in responsive and accessible UI development using CSS Modules/SCSS, with the ability to work within an existing design system and follow design token conventions. Experience with frontend state management, such as Redux and React Context. Solid understanding of testing and quality practices, including Jest or Vitest, Testing Library, Storybook, and browser testing frameworks. Familiarity with monorepo tooling and CI quality gates, including linting, PR workflows, type checks, and builds. Strong debugging, code review, and written communication skills. Ability to take ownership of features through implementation, testing, release, and production follow-up. Experience using modern AI development tools to improve productivity, such as GitHub Copilot, Codex, or Claude Code. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills English HTML/CSS React