Вакансии

Задачи: — Автоматизировать тестирование бэкенда на Python; — Писать API-тесты, контрактные тесты; — Проверять консистентность данных при загрузке; — Тестировать A/B эксперименты; — Работать с большими объёмами данных в ClickHouse, PostgreSQL, Kafka; — Тестировать ML-составляющую продукта в общем флоу; — Проверять бизнес-логику на уровне юнит-экономики. Требования: — Коммерческий опыт автоматизации на Python от 3 лет; — Тестирование чистого бэкенда от 80% задач на последнем месте; — Уверенная работа с PostgreSQL, ClickHouse, MongoDB; — Опыт с Kafka; — Понимание CI/CD, опыт с GitLab; — Базовые знания Kubernetes; — Опыт с Grafana, Kibana или аналогами; — Самостоятельность в принятии решений при неполной информации; — Готовность работать в условиях высокой ответственности.

Задачи: — Разработка и развитие backend-сервисов на Go; — Проектирование микросервисной архитектуры; — Реализация event-driven взаимодействия между сервисами (Pub/Sub, очереди); — Работа с WebSocket-соединениями и real-time потоками данных; — Проектирование и реализация gRPC API; — Разработка логики финансовых расчётов (decimal-арифметика, точность, атомарность операций); — Обеспечение ACID-гарантий и атомарных транзакций; — Оптимизация производительности и снижение latency; — Работа с нагрузкой 1000+ TPS в пиковых значениях; — Проектирование схем баз данных и оптимизация запросов; — Участие в решении задач масштабирования и отказоустойчивости; — Написание unit и integration тестов; — Участие в code review и технических обсуждениях. Требования: — 5+ лет коммерческой backend-разработки (из них 3+ лет конкретно на Go); — Глубокое понимание concurrency в Go (goroutines, channels, context); — Понимание принципов микросервисной архитектуры; — Опыт построения event-driven систем; — Опыт работы с очередями и брокерами сообщений; — Уверенная работа с MySQL (индексы, транзакции, оптимизация); — Понимание финансовой арифметики (decimal, точность вычислений, отсутствие float-ошибок); — Опыт работы с Redis; — Понимание принципов построения low-latency систем; — Опыт работы с Docker и Git; — Уверенная работа в Linux-окружении. Будет плюсом: — Опыт работы в доменах: CEX, DEX, Market making, Fintech, Payments; — Опыт работы с высоконагруженными системами (1000+ TPS); — Опыт построения real-time систем (WebSocket, streaming); — Опыт работы с gRPC; — Понимание circuit breaker, retry-политик, backoff-стратегий; — Опыт внедрения мониторинга (Prometheus, Grafana); — Понимание принципов горизонтального масштабирования; — Опыт работы с Kubernetes. Условия: — Полностью удалённый формат работы из любой точки мира; — Участие в разработке сложного высоконагруженного продуктового решения; — Реальная инженерная свобода и прямое влияние на архитектуру; — Комфортные варианты выплат в USD / USDT / RUB.

Задачи: • Анализ требований и подготовка тестовой документации (test cases, checklists); • Поддержка и актуализация продуктовой документации; • Ручное тестирование backend-компонентов и микросервисов; • Тестирование REST API и других типов API с использованием Postman, Swagger; • Проверка работы client-server архитектуры: от обработки запросов до сохранения данных; • Анализ логов и диагностика проблем через Kibana, Grafana; • Работа с базами данных, написание SQL-запросов для проверки данных и воспроизведения дефектов; • Чёткое и понятное описание багов для быстрого воспроизведения и исправления; • Взаимодействие с разработчиками, аналитиками и другими stakeholders; • Участие в релизном процессе и обеспечении release readiness. Требования: • Коммерческий опыт в QA от 4 лет; • Опыт работы с backend и frontend testing; • Уверенный опыт тестирования API; • Практический опыт работы с Postman и Swagger; • Опыт работы с логами и monitoring tools (Kibana, Grafana); • Практический опыт написания SQL-запросов; • Владение разговорным русским или украинским — обязательно. Будет плюсом: • Опыт работы с платёжными системами или fintech-продуктами; • Опыт запуска или поддержки automated tests (Java). Условия: • Конкурентная оплата в евро (2000–3500€ net) без задержек; • Реальное влияние на качество и развитие платформы, рост вместе с компанией; • Работа над сложным продуктом в regulated payments environment.

Задачи: — Поддерживать, развивать и мониторить существующие Kubernetes-кластера; — Поддерживать, мониторить, выявлять узкие места СУБД/Key-value хранилищ (PostgreSQL, Redis, Clickhouse); — Поддерживать бесперебойную работу систем очередей на базе (Kafka, RabbitMQ); — Поддерживать и развивать систему мониторинга/алертинга на базе Prometheus, Thanos, Alertmanager, Grafana; — Внедрять AI в системы мониторинга; — Участвовать в устранении и расследовании инцидентов инфраструктуры; — Улучшать и развивать существующий CI/CD процесс на базе GitOps (ArgoCD, Gitlab, Jira); — Автоматизировать развертывание приложений (используется Helm + ArgoCD); — Самостоятельно искать новые возможности для улучшения инфраструктуры и внедрения новых DevOps практик; — Консультировать и поддерживать команды разработки и тестирования. Требования: — Понимание целей внедрения DevOps; — Понимание особенностей эксплуатации Python приложений; — Опыт разработки CI/CD пайплайнов с использованием GitLab; — Опыт работы с Docker/Kubernetes и понимание устройства Kubernetes; — Понимание основ сетевых технологий (семейство TCP/IP); — Опыт администрирования linux-инфраструктуры; — Умение работать самостоятельно, брать на себя ответственность, инициативность. Будет плюсом: — Опыт работы с методологией GitOps; — Знание английского языка; — Большой плюс — знание языков программирования Python, Golang. Условия: — Обязательная релокация в Куала-Лумпур (Малайзия) после успешного прохождения испытательного срока (3 месяца).

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: Our customers build the frontier of AI on top of Nebius — training state-of-the-art models, running production inference at scale, shipping the research and products that define where the field is going next. We are building the AI cloud that the people building the frontier of AI choose deliberately — not on price, not on raw capacity, but on how it works to use it day to day. To do that, we are growing the AI Compute Platform product team and hiring multiple Technical Product Managers across the full surface of the platform. Your scope will be defined by what you bring. We will match your technical strengths, customer experience, and product instincts to the area of the platform where you can have the most impact. The platform is broad — and at our scale, every slice is mission-critical. If you want to help build the best AI cloud in the world — and you have the technical depth to engage engineering leaders as a peer (not as a translator) and the comfort to talk to customers directly — this team is for you. The platform you'll help build: Hardware platforms & launch — bringing new GPU and CPU platforms (GB300, Vera Rubin, ARM/Grace, future generations) to production with full launch readiness across the stack. Cluster lifecycle & fleet operations — new region launches, 100,000+ GPU cluster bring-up, platform sharding and allocation architecture, release engineering, host-lifecycle automation, operational efficiency. Reliability & Mission Control — autohealing, health checks, SLA, fault-tolerant training, MTTR reduction, customer trust at scale, observability as a product. Customer experience & developer surface — Compute APIs, console, CLI, IMDS and in-VM signals, self-service workflows, notifications, customer-facing observability, unified UX across the product line. GPU & InfiniBand foundational services — drivers, firmware, NCCL, IB/RoCE, NVLink topology, the foundational layer everything else builds on. Managed runtime platforms — Soperator (Slurm-on-Kubernetes) and MK8S (Managed Kubernetes for AI workloads), powering training and inference for frontier labs. Platform integrations & emerging workloads — Token Factory integration, RL and agentic workload infrastructure, capacity sharing, new business surfaces as they emerge. Cross-platform program & delivery — NVIDIA partnership programs, major-maintenance orchestration, cross-stream releases. You will own one of the slices of this platform end-to-end — from strategy and roadmap through delivery, adoption, and measurable outcomes. Your responsibilities will include (regardless of which slice you own): Own end-to-end product responsibility for your area — strategy, roadmap, discovery, delivery, adoption, measurable customer and platform outcomes. Design and own the platform contracts customers depend on — APIs, semantics, system events, customer-facing surfaces, operational behavior — at hyperscaler quality. Drive cross-team execution across platform engineering, networking, storage, Soperator/MK8S, observability, IAM, billing, capacity planning, support, and product design. Turn customer pain into product commitments through structured discovery — interviews, usage analytics, support patterns, incident postmortems. Close the loop so the same class of failure or friction does not recur. Engage engineering as a technical peer — debate API design, reason about system trade-offs, judge the quality of platform internals, and push back when the design is wrong. Define and own success metrics — what you ship is measured by what changed for the customer or the platform, not by the size of the spec. Be the product voice that customer-facing teams (Support, CX, TAMs) escalate to when a system behavior, API contract, or operational pattern needs a product decision, not a workaround. We expect you to have: 6+ years in Product Management, Platform PM, Infrastructure PM, or SRE / Engineering Lead with strong product instincts. Strong technical foundation and cloud-infrastructure depth — comfort reasoning about API semantics, control-plane vs data-plane behavior, system events and lifecycle, multi-tenant operational realities. You can engage engineering leaders as a peer, not as a translator. Experience with cloud, GPU, or HPC infrastructure — either building one or operating one at meaningful scale (thousands of nodes, multi-region, multi-tenant). Track record of shipping technically complex platform products with measurable customer or platform impact — quantitative results, not aspirational bullets. Strong analytical skills: comfort defining and instrumenting product metrics, working with telemetry, building data-informed roadmaps. Experience leading discovery-heavy work — structured customer interviews, usage analytics, support-ticket analysis — and turning insights into shipped product. Strong communication and ability to align engineering, SRE, customer-facing teams, and exec stakeholders. High ownership, bias to ship, comfort with messy operational reality, and the instinct to push back on engineering when the customer experience or platform quality would suffer. It will be an added bonus if you have (these are not all required — different strengths fit different slices of the platform): Customer-facing experience and lived-it perspective: Direct PM experience with frontier AI customers — ML platform teams, MLOps engineers, training and inference at scale. Familiarity with Kubernetes, Slurm, or HPC environments from the user side, and ML training workflows. Hands-on experience with ML training and inference workflows — especially distributed training at scale (multi-node, multi-GPU; comfort with checkpointing, NCCL, fault-tolerant training, debugging large training jobs). Experience as a customer of AI cloud infrastructure at large scale — especially as part of an internal ML platform team that built and operated infrastructure for ML engineers inside your own company. If you have lived through what frustrates customers about clouds, you will know exactly what we are trying to fix. Hardware, GPU, and HPC depth: Direct experience with NVIDIA reference architectures (NVL72, SuperPOD, MGX, DGX) and the NVIDIA stack (drivers, CUDA, NCCL, DCGM). Familiarity with InfiniBand / RoCE fabrics, firmware lifecycle, topology-aware scheduling. Hands-on with GPU clusters or HPC fabrics at thousands-of-nodes scale. Cluster and fleet operations: Background in Kubernetes lifecycle (CAPI, cluster upgrades, node-pool management) or Slurm at scale. Experience launching new cloud regions or data-center bring-ups end-to-end. Background in release engineering, change management, or major-maintenance orchestration in production environments. Customer experience and developer surface: Exposure to console / CLI / API design at hyperscaler quality — AWS, GCP, Azure depth on consistency, versioning, idempotency, error semantics, deprecation policy. Background in observability product — Grafana, Datadog, Honeycomb, New Relic. Knowledge of customer trust artefacts — status pages, RCA workflows, audit logs, SLA reporting, maintenance notifications. Familiarity with developer-experience product patterns — Stripe, Cloudflare, Vercel, Supabase, Render. Reliability and operational outcomes: Background in SRE, reliability engineering, or fault-tolerant systems for paying customers. Familiarity with reliability metrics that matter: Goodput, MFU, MTTR, MTBF. Experience with autohealing systems and graceful failure semantics. Emerging workloads and integrations: Familiarity with RL / agentic / inference workload patterns — vLLM, SGLang, Ray, Token Factory-style serving, sandbox technologies (Firecracker, gVisor, Kata). Experience with multi-product cloud integrations — capacity sharing, billing models, cross-product packaging. Background in pricing strategy for infrastructure products (reserved / on-demand / preemptible tiers, two-part pricing). Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Hamburg Workplace: Hybrid adjoe gestaltet die Zukunft von Mobile AdTech: Durch den Einsatz von KI, First-Party-Daten und modernstem Engineering haben wir die Monetarisierung für App-Publisher revolutioniert. Mit Lösungen wie Playtime und Arcade bieten wir den weltweit am schnellsten wachsenden Kanal für Rewarded Advertising – für maximales User-Engagement, nachhaltige Kundenbindung und echtes Umsatzwachstum. Parallel dazu erschließen wir mit unserem intelligenten Biddingsystem von adjoe Ads den programmatischen Werbemarkt. Gemeinsam verbindet dieses Ökosystem App-Entwickler mit über 700 Millionen Nutzern weltweit und schafft die Basis für echtes, skalierbares Wachstum. Mit dem Rückenwind des führenden europäischen Medienkonzerns Bertelsmann und unseren Standorten in Hamburg, Boston, Singapur und Tokio gestalten wir die nächste Evolutionsstufe der App-Experience. Werde Teil unserer Erfolgsgeschichte! Über die Rolle Als Senior Solution Architect verantwortest du die technische Erfolgsgeschichte unserer wichtigsten Partnerschaften. Du bist der Technical Lead für unsere Top-Accounts und synchronisiert komplexe Partner-Roadmaps mit unserem modernen Stack auf Basis von Golang und Native SDKs. Damit stellst du sicher, dass unsere Plattform für über 100 Millionen Nutzer täglich reibungslos läuft. Du schließt die Lücke zwischen unserer Technologie und der Vision des Partners. Dabei genießt du volle technische Freiheit: Mit direktem Zugriff auf unsere gesamte Cloud-Infrastruktur – von Real-Time-Monitoring bis hin zu unseren Data Lakes – behältst du den Systemstatus immer im Blick. Ob du tief in Architekturfragen eintaucht oder hochperformante Features konzipiert: Du sorgst für das perfekte Zusammenspiel unserer Systeme. Als strategisches Bindeglied zu unseren internen Produkt- und Tech-Teams bist du die starke Stimme für unsere größten Enterprise-Kunden. Was du tun wirst - Technische Strategie & Umsetzung: Du gestaltest die technische Roadmap unserer Partner, entwickelst neue Lösungen direkt mit ihnen und stellst durch Praxistests sicher, dass alles reibungslos läuft, bevor der große Rollout startet - Koordination der gemeinsamen Roadmap: Du begleitest den gesamten technischen Produktlebenszyklus unserer Partnerschaften, koordinierst den Rollout komplexer Features und steuerst die technischen Integrationen - Ursachenanalyse und proaktive Risikominderung: Du gehst bei der Fehlerbehebung tief unter die Oberfläche, um Integrationsprobleme durch eine gründliche Ursachenanalyse frühzeitig zu finden und zu lösen, bevor sie den Umsatz unserer Partner gefährden - Datengestützte Beratung: Du nutzt SQL und Python (oder andere), um komplexe Datensätze zu aggregieren und zu visualisieren und Rohdaten in technische Narrative zu übersetzen, die Partnern helfen, ihre KPIs zu erreichen - Stimme des Kunden: Du übersetzt das Feedback deiner Partner in präzise technische Anforderungen für interne Produktteams, um globale Skalierbarkeit zu ermöglichen Wer du bist - Du bringst mindestens 5 Jahre Erfahrung in einer technischen Kundenrolle (z. B. TAM, Sales Engineering oder Solutions Architecture) im Bereich AdTech, SaaS oder Big Tech mit – idealerweise mit Fokus auf Mobile - Tech-Architekt: Du übersetzt high-level-Anforderungen mühelos in präzise Spezifikationen. Dabei bist du fachlich breit aufgestellt: Vom Deep Dive in die SDK-Initialisierung und REST-Latenzen mit dem Product Owner bis hin zum eigenhändigen Debugging von HTML/JavaScript - Daten & Analyse: Du liebst Daten und beherrschst SQL sowie Visualisierungen aus dem Effeff. Mit Dashboards wie Grafana, Tableau oder Kibana findest du nicht nur das „Warum“ hinter den Zahlen, sondern leitest daraus direkt strategische Entscheidungen ab - Mobile-Expertise (Plus): Du bringst Java-Kenntnisse oder Erfahrung in der mobilen App-Entwicklung mit. SDK-Integrationsprobleme löst du fast schon instinktiv - Cross-functional Leader: Als geborener Teamplayer moderierst du souverän zwischen Engineering und Produktmanagement, um auch in kritischen Phasen die besten Lösungen zu finden - Fließende Deutsch- und Englischkenntnisse: Du kommunizierst in beiden Sprachen sicher und verhandlungssicher auf professionellem Niveau (mindestens B2-Niveau oder vergleichbar) – sowohl im direkten Austausch mit unseren globalen Partnern als auch bei der internen Zusammenarbeit. Unser Engagement für deinen Erfolg Investiere in deine Zukunft: Du wirst Teil eines leistungsstarken, global skalierenden Unternehmens mit einer klaren Vision. Dabei nimmst du direkten Einfluss auf unsere Erfolgsgeschichte und profitierst unmittelbar von unserem gemeinsamen Wachstum. Wir fördern deine Entwicklung durch regelmäßiges Feedback, Mentoring und gezielte Weiterbildungsprogramme. Bei adjoe baust du nicht nur deine Skills aus, sondern gestaltest deine langfristige Karriere. Dein entspannter Start bei adjoe: Vom ersten Vertrag bis zum Einleben in Hamburg: Wir halten dir und deiner Familie den Rücken frei. Mit einem Relocation-Bonus und persönlicher Unterstützung beim Umzug sorgen wir dafür, dass dein Start bei uns reibungslos und stressfrei verläuft. Work-Life-Balance: Genieße volle Flexibilität mit gleitenden Arbeitszeiten, Remote-Optionen am Freitag und 30 Tagen Urlaub. Zusätzlich bieten wir dir die Möglichkeit, drei Wochen pro Jahr von überall aus der Welt zu arbeiten (Remote Work). Für dein Wohlbefinden sorgen unser hauseigenes 24/7-Gym inklusive Kursen sowie professionelle mentale Unterstützung durch unser Employee Assistance Program (EAP). Ein Office zum Wohlfühlen: Unser Headquarter in Hamburg bietet weit mehr als nur den Alsterblick. Dich erwartet ein lebendiges Office mit High-End-Equipment, offenen Kollaborationsflächen und einer Flatrate an Snacks und Drinks, damit die Energie und die Ideen niemals ausgehen. We welcome applications from people who will contribute to the diversity of our company.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Backend Software Engineer to join our Observability Platform team in Amsterdam or remotely. Building a reliable and profitable cloud platform is impossible without world-class observability. It spans every layer of the stack — from developer tooling and CI/CD pipelines to Kubernetes, managed services, databases, networking, and customer workloads. Our mission is to provide a unified ecosystem for logs, metrics, traces, alerting, and troubleshooting that enables engineers to understand and operate systems at scale. You will build and scale the core services behind this platform, working on high-volume telemetry ingestion, distributed storage, query engines, alerting pipelines, and new ways to help engineers make sense of operational data, including AI-assisted troubleshooting. We expect you to have: 5+ years of professional software engineering experience Strong knowledge of Golang or willingness to quickly switch to it Experience building distributed backend systems Solid understanding of software reliability, scalability, and performance Ability to troubleshoot complex production issues Teamwork-oriented approach and strong communication skills It would be an added bonus if you had: Experience building or contributing to observability platforms, telemetry systems, or related open-source projects such as Prometheus, Grafana, Loki, Jaeger, OpenTelemetry, VictoriaMetrics, Mimir, Tempo, or similar technologies Experience using ClickHouse in production #LI-ET3 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Japan (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for an Senior Enterprise Account Executive, Acquisition who will be responsible for prospecting and closing new business across Japan . You will identify, nurture and close opportunities with new customers. You will manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking about our products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Customer Success team. What You’ll Be Doing: Meet and exceed individual quarterly and annual sales goals Outbound prospecting into net-new customers Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, and negotiations) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests What Makes You a Great Fit: 5+ Years of Experience in Infrastructure Technology Sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies Familiarity with open source technology is a significant advantage You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Located in: Tokyo, Japan Bonus Points For: Familiarity with open source technology is a significant advantage Experience using Command of the Message and MEDD(P)ICC is ideal. Compensation & Rewards: Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Remote, Germany, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re seeking a Principal Software Engineer to contribute to the technical architecture, design and development of Fivetran’s Managed Data Lake product offering. As part of a senior engineering team, you’ll partner with product and engineering teams to build scalable, high-performance systems, advance open-source technologies, and set technical standards that raise the bar across the organization. This is a full-time remote position based out of Germany. Technologies You’ll Use Java, C++, Postgres, Temporal, gRPC AWS, GCP, Azure, Kubernetes, Grafana Iceberg, Polaris, Delta Lake, Parquet, DuckDB What You’ll Do Partner closely with product teams to understand requirements and design cutting-edge new capabilities that go directly into customer’s hands. Design, develop, implement, and operate highly reliable large-scale data lake systems in cooperation with a dedicated data lake engineering team. Contribute to open-source projects such as DuckDB and Polaris. Embrace Fivetran innovations with open-source standards and toolsets. Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them. Ensure operational excellence of the services and meet the commitments to our customers regarding security, reliability, availability, and performance. Set technical directions and influence cross-functional teams. Skills We’re Looking For 6+ years of hands-on or research experience with high-performance relational data management systems. Deep understanding of infrastructure & software optimizations and performance engineering to drive significant performance, latency, and availability improvements. Proven track record of leading and delivering large and complicated projects. Strong development skills in Java and C++. Solid experience with public clouds (AWS, Azure, GCP). Demonstrated knowledge of columnar storage formats. Growth mindset and excitement about breaking the status quo by seeking innovative solutions. Excellent team player who is consistent in making everyone around you better. Bonus Skills Strongly prefer an MS or PhD in Computer Science, ideally focusing on database management and/or storage engines. #LI-IM1 #LI-REMOTE Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote - India Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Senior Engineering Manager , Twilio’s Segment team. About the job As a Senior Engineering Manager on the Twilio Segment Data platform/ pipelines team, you’ll build and scale systems that process several hundred thousands of data points per second. You will lead the development of high-scale ingestion and data processing systems You'll guide the team in designing, operating and maintaining complex distributed systems, ensuring reliability, performance, and cost-efficiency while querying petabytes of data for our customer data platform (CDP). Responsibilities In this role, you’ll: Own and deliver robust, high-scale routing experiences for Data platforms & pipelines for Twilio Segment. Champion team growth and success, prioritizing mentorship and individual development. Architect and operate always-available, complex distributed systems in cloud environments. Guide technical decisions, articulating trade-offs between cost, performance, and reliability. Advocate for agile processes, continuous integration, and robust automation. Translate complex technical strategies into actionable plans for diverse stakeholders, including Product Managers and Architects. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 14+ years of engineering experience with a 5+ year proven track record managing software teams. Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Proven experience managing multiple workstreams within the team. Demonstrated commitment to driving an AI-centric engineering mindset and providing mentorship on leveraging AI-enabled development platforms. Technical depth in distributed systems, high-scale ingestion, and cloud-native architecture. Hands-on experience with high-scale messaging/streaming systems and processing engines (several thousand events/sec). Excellent communication, problem-solving, and operational excellence skills. Desired: Demonstrated experience identifying, prototyping, and deploying GenAI/LLM solutions to solve real-world engineering or data processing challenges. Expert programming experience in Go or similar object-oriented languages. Proficiency with datastores, distributed caching, and container technologies (Docker/Kubernetes). Experience with modern CI/CD pipelines and observability tools (Datadog, Grafana, Prometheus). Familiarity with AI/ML technologies. Experience managing and operating AWS infrastructure Experience working in a geographically distributed team. Location This role will be remote, and based in India (only in Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi). Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Porto, Portugal Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities TeamViewer's Frontline solution empowers frontline workers through workflow-based, real-time assistance on smart glasses, mobile phones, and tablets. Our platform connects the physical and digital worlds, combining 2D and 3D authoring tools to transform how industrial teams collaborate. We are looking for an experienced and committed Full Stack Software Engineer with strong expertise across React and Java Spring Boot to help us develop the next generation of the Frontline platform. You will work across the full stack, delivering features end-to-end from UI to backend services. Design, implement, and maintain frontend applications using TypeScript and React . Design, implement, and maintain backend services and APIs using Java and Spring Boot . Participate in architecture and application design to ensure reliability, scalability, and maintainability across the full stack. Write clean, testable, and maintainable code using modern engineering and CI/CD practices. Engage in peer reviews, pair programming, and technical discussions to continuously raise code quality and alignment. Take ownership of your domain and deliver results with accountability and curiosity. Explore and evaluate emerging technologies that can enhance the platform's capabilities. Requirements University or college degree in Computer Science, Software Engineering, or a related field. 3+ years of professional experience in full-stack software development, or proven senior-level expertise in designing and delivering complex software systems. Strong expertise in TypeScript and React for frontend development. Strong expertise in Java and Spring Boot for backend development, including frameworks such as Spring Data and Spring Security. Solid understanding of RESTful APIs , microservices , and distributed system design. Experience with relational databases (e.g., PostgreSQL, MySQL) and ORM frameworks (e.g., Hibernate). Experience with CI/CD pipelines , Docker , and container orchestration (e.g., Kubernetes). Understanding of security and authentication standards (JWT, OAuth2, OpenAPI). Fluency in English; other languages are a plus. Nice to have Experience working with message queue systems (e.g., NATS, Kafka, RabbitMQ). Experience with public API design and developer-facing integrations. Experience with micro-frontend architectures (e.g., Module Federation, single-spa). Familiarity with state management libraries and patterns (e.g., Redux, Zustand, React Query). Experience with component libraries and modern frontend tooling. Familiarity with monitoring and observability tooling (e.g., Prometheus, Grafana, ELK). What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Berlin, Germany Workplace: hybrid Berlin • Cybersecurity & AI Startup • Recently Funded A newly funded cybersecurity startup in Berlin is looking for a Engineering Team Lead to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered risk management platform. We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli intelligence units. We are looking for a hands-on Founding Engineering Team Lead for a hybrid role based in central Berlin. If you are passionate about cybersecurity and AI, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact. They’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Their goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems, AI-driven analysis, and automated enforcement through AI agents. Key Responsibilities: Lead and grow a small, high-performing engineering team while remaining hands-on Design, build, and review production backend and platform code alongside the team Own delivery of the engineering roadmap , balancing speed, quality, and security Act as a technical leader by setting architecture direction and enforcing engineering standards Contribute directly to critical features, integrations, and platform foundations Establish lightweight engineering processes that enable fast execution without bureaucracy Mentor engineers through code reviews , pairing, and technical guidance Contribute hands-on in design and build architecture, configure systems, code 70% of the time in GoLang. Remove blockers and unblock delivery across backend, frontend, data, and DevOps Collaborate closely with CEO, CPTO, and product leadership on technical and execution decisions Support hiring , onboarding, and technical evaluation of engineers Foster a culture of ownership, pragmatism, and low ego Build whole Security platform setup from scratch Partner closely with backend and AI engineers to design secure service boundaries and deployment models Troubleshoot and resolve complex production incidents across infrastructure, networking, and application layers Build PoCs and validate infrastructure and security design decisions in an early-stage environment Support compliance readiness by enabling controls, logging, and evidence collection for security frameworks Continuously improve platform cost efficiency , reliability, and operational maturity This role reports directly to CEO & CPTO Must have skills 10+ years of professional software engineering experience 3+ years of experience leading engineering teams while remaining hands-on 3+ years of GoLang experience 3+ years experience with AWS in production environments Strong code quality bar and experience with architectural reviews Ability to context-switch between technical topics and people leadership Strong execution mindset and comfort operating under ambiguity Hands-on coding mentality; can build things from scratch including security architecture yourself Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience with CI/CD pipelines (GitHub Actions or similar) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Knowledge of Experience supporting production SaaS platforms High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Excellent English communication skills Nice-to-have requirements Previous experience as a founding or early-stage Engineering Manager Experience in cybersecurity , identity, or enterprise SaaS platforms Exposure to DevOps, SRE, or data engineering Experience scaling teams and systems simultaneously Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits Founding Team Member Equity — ESOPs in a well funded cybersecurity company. Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible. Founding Team Member Status — shape the company from day one and own critical security technical decisions. Fresh Funding Secured — immediate runway to build, hire, and execute fast. Security Contribution — contribute to security tech architecture across identity, AI agents, and enforcement. High Autonomy — freedom to design and build without corporate overhead. Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction. Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance. Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems. Fast Career Path — opportunity evolve into higher leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems. Direct Impact — your architecture and code become the foundation of the entire platform. Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one. Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum.

Location: United States; United Kingdom; Canada; Germany; Australia; Singapore Job Type: Full-time Location: Remote Work Schedule: Overlap with UK, US, or Canada business hours About Huzzle At Huzzle, we connect elite global talent with high-growth companies across the UK, United States, Canada, Europe, and Australia. Our clients include venture-backed startups, SaaS platforms, AI companies, FinTech businesses, and enterprise technology firms scaling modern cloud infrastructure globally. Unlike traditional outsourcing agencies, professionals hired through Huzzle work directly with international companies as long-term in-house team members, contributing to mission-critical engineering initiatives. Job Summary We are hiring an experienced Senior DevOps Engineer to support fast-growing international companies building scalable cloud-native platforms and enterprise infrastructure. This role is ideal for engineers with deep expertise in Kubernetes, CI/CD automation, cloud infrastructure, and platform reliability who enjoy working in high-performance remote engineering teams serving North American and UK markets. You will help architect infrastructure, improve deployment velocity, optimize reliability, and support highly available production environments across modern SaaS and cloud platforms. Key Responsibilities Design and manage scalable, secure, and highly available cloud infrastructure. Build and optimize CI/CD pipelines for reliable software delivery. Manage Kubernetes environments and container orchestration systems. Implement Infrastructure-as-Code solutions using Terraform or similar tools. Improve platform observability, monitoring, and incident response processes. Collaborate with engineering teams on release automation and deployment workflows. Troubleshoot production infrastructure and application performance issues. Support cloud security, compliance, backup, and disaster recovery initiatives. Contribute to platform scalability, reliability, and cost optimization efforts. Mentor junior engineers and promote DevOps best practices across teams. Requirements 5+ years of experience in DevOps, Cloud Engineering, SRE, or Infrastructure Engineering roles. Strong experience with Linux systems and cloud environments. Hands-on experience with Docker, Kubernetes, and CI/CD tools. Experience with Terraform, GitHub Actions, Jenkins, GitLab CI/CD, or similar platforms. Familiarity with AWS, Azure, or Google Cloud Platform. Knowledge of monitoring and observability tools such as Prometheus, Grafana, Datadog, or ELK Stack. Scripting or programming experience using Python, Bash, Go, or JavaScript. Strong troubleshooting and problem-solving skills. Excellent communication and collaboration abilities. Nice to Have Experience with ArgoCD and GitOps workflows. Knowledge of networking, security, and distributed systems. Cloud certifications (AWS, Azure, Kubernetes, Terraform). Experience supporting SaaS or enterprise applications. Open-source contributions or technical blogging experience. Benefits 💰 Competitive salary based on experience and technical expertise. 🌍 Fully remote role with international opportunities. 🚀 Work with modern cloud-native technologies and high-growth companies. 📈 Long-term career growth opportunities in DevOps and platform engineering. 🛠 Exposure to enterprise-scale infrastructure and automation projects. 🤝 Collaborative engineering culture with flexible remote work environment.

Location: Poland; Romania; Bulgaria; Georgia; Serbia; Ukraine Job Type: Full-time Location: Remote Work Schedule: Flexible Hours with overlap for UK/UAE/US teams About Huzzle At Huzzle, we connect exceptional global talent with leading companies across the UK, US, Europe, Canada, and the Middle East. Our clients range from fast-growing startups to enterprise technology companies operating in SaaS, AI, FinTech, cybersecurity, and cloud infrastructure. Unlike traditional outsourcing agencies, professionals hired through Huzzle work directly with international clients as long-term, in-house team members contributing to mission-critical projects and infrastructure. Job Summary We are seeking an experienced Senior DevOps Engineer to lead infrastructure automation, cloud platform reliability, and deployment scalability initiatives for international technology companies. This role is ideal for someone with deep expertise in Kubernetes, cloud infrastructure, CI/CD automation, and platform engineering who thrives in fast-paced engineering environments and enjoys solving complex infrastructure challenges at scale. You will collaborate closely with software engineers, security teams, and product stakeholders to improve deployment workflows, optimize infrastructure performance, and maintain highly available cloud-native systems. Key Responsibilities Architect, implement, and maintain scalable cloud infrastructure environments. Design and optimize CI/CD pipelines for high-frequency deployments. Manage Kubernetes clusters and container orchestration environments. Build Infrastructure-as-Code solutions using Terraform and automation best practices. Improve platform reliability, scalability, and system observability. Monitor production systems using Prometheus, Grafana, ELK Stack, or similar tools. Implement security, backup, and disaster recovery best practices. Troubleshoot infrastructure, networking, and deployment issues across environments. Collaborate with engineering teams on release management and platform optimization. Mentor junior engineers and contribute to DevOps best practices across the organization. Requirements 5+ years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, or Cloud Infrastructure roles. Strong hands-on experience with Kubernetes, Docker, Linux, and cloud-native technologies. Experience with AWS, Azure, or Google Cloud Platform. Strong expertise in Terraform and Infrastructure-as-Code methodologies. Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or ArgoCD. Strong scripting or programming experience using Python, Go, Bash, or JavaScript. Knowledge of networking, security, distributed systems, and cloud architecture principles. Experience with monitoring and observability tools such as Grafana, Prometheus, Datadog, or ELK Stack. Excellent communication skills and ability to work independently in remote environments. Nice to Have Experience with GitOps workflows and ArgoCD. Exposure to AI infrastructure or large-scale distributed systems. Experience supporting enterprise SaaS platforms. Certifications in AWS, Azure, Kubernetes, or Terraform. Open-source contributions or technical blogging experience. Benefits Competitive salary based on experience and technical expertise. Fully remote opportunity with global engineering teams. Work on modern cloud-native infrastructure and large-scale systems. Long-term career progression opportunities into Lead or Principal Engineering roles. Access to cutting-edge DevOps, Kubernetes, and automation technologies. Collaborative engineering culture with high-impact technical ownership. Flexible work environment focused on autonomy and performance.

Location: South Africa; Philippines; Egypt; India; Pakistan; Vietnam Job Type: Full-time Location: Remote Work Schedule: Flexible or Overlapping US/UK Hours About Huzzle At Huzzle, we connect elite global talent with high-growth companies across SaaS, FinTech, AI, MarTech, and enterprise technology industries. Our clients are scaling rapidly and looking for experienced technical professionals who can make an immediate impact. Job Summary We are seeking an experienced Senior DevOps Engineer to lead cloud infrastructure initiatives, improve deployment automation, and support highly available production systems. This role is ideal for engineers who enjoy solving complex infrastructure challenges, implementing DevOps best practices, and driving platform scalability. You will work cross-functionally with software engineers, security teams, and product stakeholders to build reliable, secure, and scalable infrastructure environments. Key Responsibilities Architect and manage scalable cloud infrastructure environments. Lead CI/CD automation and deployment optimization initiatives. Implement Kubernetes orchestration and container management solutions. Develop Infrastructure-as-Code solutions using Terraform or similar tools. Improve observability, monitoring, and incident response workflows. Support system security, scalability, and disaster recovery planning. Mentor junior engineers and contribute to DevOps best practices. Collaborate with cross-functional teams on infrastructure and release planning. Requirements 4+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure roles. Deep expertise in Kubernetes, Docker, Linux, and cloud-native technologies. Strong experience with AWS, Azure, or GCP environments. Hands-on experience with Terraform, GitHub Actions, Jenkins, or ArgoCD. Knowledge of networking, security, and distributed systems. Strong scripting or programming skills using Python, Go, or Bash. Experience with monitoring tools such as Prometheus, Grafana, or ELK Stack. Excellent communication and leadership skills. Benefits 💰 Highly competitive compensation package. 🌍 Fully remote or hybrid flexibility. 🚀 Opportunity to work on enterprise-scale cloud infrastructure. 📈 Career progression into Lead DevOps or Platform Engineering roles. 🛠 Access to cutting-edge DevOps and cloud technologies. 🤝 Collaborative global engineering teams and modern development culture.

Location: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Who You Are You are a DevOps engineer with software development background who likes working on everything that helps to improve the quality of life for your team and providing your expertise in creating a performant CI/CD stack to boost the code development/build process. What You’ll Do - Collaborate closely with our engineering team to help them be more productive by improving development tools. - Maintain a strong connection to the product and remain comfortable engaging in direct feature development - You will take ownership of CI/CD stack, keeping it robust, observable, stable, and performant. - Research, implement, and develop tools to help developers write new code. - Ensure the CI/CD infrastructure and process is reliable and consistent. What we’re looking for - Solid background in Linux. - Experience in CI/CD stack development and maintenance. - Working proficiency with Ruby, Javascript or Python. - Knowledge of AWS technologies (EC2, load balancing, auto-scaling, IAM, S3, Route53, etc.). - Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana). - Experience with containerization (Docker, Kubernetes, etc). What we’d be particularly excited about - Experience with CI build time optimization especially with Jenkins, Rspec and Cypress/Playwright. - Familiarity with databases like MongoDB and/or ClickHouse. - Experience with build systems like Webpack, Gradle, etc. - Proficiency with the CI tools like Jenkins, TeamCity, etc. What you’ll learn: - You’ll learn about the Ruby language and the Rails framework since it’s used in many aspects of our projects and tools. - You’ll gain deep insights into infrastructure automation using technologies such as Ansible and Terraform since they are central to our deployment strategies. Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers   About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide. Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! GLOBAL TEAMS Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. 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Location: United States (Remote); Los Angeles, California; Seattle, Washington; San Francisco, California; Portland, Oregon Workplace: Remote ROLE SUMMARY The Senior Developer Success Engineer - West will be the frontline technical expert for our developer community. You will help users deploy and scale Temporal in cloud-native environments. You will also troubleshoot complex infrastructure issues, optimize performance, and develop automation solutions. This role is ideal for someone who thrives on solving distributed systems challenges and improving the developer experience.   WHAT YOU'LL DO - Be a keen learner: - At Temporal, you’ll work with cloud-native, highly scalable infrastructure spanning AWS, GCP, Kubernetes, and microservices. You’ll gain deep expertise in container orchestration, networking, and observability while learning from complex, real-world customer use cases. - Our stack includes Go, Python, and Java, providing continuous opportunities to hone your programming skills in infrastructure automation, resilience engineering, and performance tuning. - Be a passionate problem solver: - If you enjoy tackling scalability, reliability, and troubleshooting challenges in distributed systems, you’ll thrive in this role. - As a Senior Developer Success Engineer, you’ll work directly with developers to debug complex infrastructure issues, optimize cloud performance, and enhance reliability for Temporal users. - You'll develop observability solutions (Grafana, Prometheus), improve networking (load balancing, DNS, ingress/egress), and automate infrastructure operations (Terraform, IaC) to help customers run Temporal efficiently at scale. - Once ramped up, we expect you to independently drive technical solutions, whether debugging complex production issues or designing infrastructure best practices. Don't worry—we have seasoned engineers and mentors to support you along the way! - Be a great communicator: - As a Senior Developer Success Engineer you will engage directly with developers, engineering teams, and product teams to understand infrastructure challenges and provide solutions that enhance scalability, performance, and reliability. - Your insights will influence platform improvements, from enhancing observability tooling to developing self-service infrastructure solutions that simplify troubleshooting (e.g., building diagnostic tools similar to Twilio’s Network Test). - You’ll serve as a bridge between developers and infrastructure, ensuring that reliability, performance, and developer experience remain top priorities as Temporal scales. WHAT YOU'LL BRING - Reside within the Pacific time zone (United States) - 6+ years of experience as a developer, preferably fluent in one or more of the following languages: Python, Java, Golang, TypeScript. - Experience with deployment and managing medium to large-scale architectures (e.g., Kubernetes or Docker). - Experience with monitoring tools such as Prometheus and Grafana and troubleshooting performance and availability issues. - Minimum of one year experience in an internal or external customer-facing role. - Passion for helping others regardless of who they are or how they act. - Experience working with or as part of remote teams. - Strong written and verbal communication skills. - Seek to understand first, lead with data, and rely on facts. NICE TO HAVE - Previous experience in customer-facing positions such as a professional services consultant, solutions architect, customer engineer, etc. - Experience with security certificate management and implementation. - Ability to understand use cases and translate them into Temporal design decisions and architecture best practices. - Technologies: EKS, GKE, Kubernetes, Prometheus, Grafana, OpenTracing, Terraform/Ansible/CDK. 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.

Задачи: — Развитие ядра систем — Создание новых фичей (вакансия открыта в направлении развития ядра систем) Требования: — Знание одного из PHP-фреймворков, Symfony или Laravel — Работа с СУБД PostgreSQL на уровне оптимизации таблиц и написания простых и сложных запросов — Приветствуются знания ORM Doctrine и Active Record — Английский на уровне чтения технической документации Будет плюсом: — Знание популярных библиотек для работы с датами, строками, массивами — Опыт работы с очередями RabbitMQ, Kafka и реактивным программированием — Опыт работы с системами мониторинга Grafana, Prometheus, создание дашбордов и написание алертов — Опыт использования колоночных СУБД, например ClickHouse Условия: — Максимально понятный и быстрый онбординг с наставником — Отлаженный процесс проектирования (Design Review) и разработки (Code Review) без бюрократии — Высокий уровень дохода и открытая система грейдов с видимостью экспертных знаний и зон роста — Работа по методу SCRUM в таск трекере YouTrack — Актуальная и постоянно обновляемая база знаний в Confluence — Гибкий подход и возможность влиять на процессы — Индексация заработной платы — Возможность работать удаленно или в офисе — Компания аккредитованная IT-компания