Emplois à distance pour les nomades numériques

Hey, wir sind Sunlab – schön, dass du vorbeischaust. Du willst Tracking nicht nur technisch implementieren, sondern als strategisches Fundament für echte Performance aufbauen? Perfekt – genau das ist unser Anspruch. Wir arbeiten am liebsten mit Category Killern oder Kunden, die es noch werden wollen. Dafür brauchen wir kein oberflächliches Setup, sondern eine saubere, belastbare und skalierbare Datenbasis. Als datengetriebenes Team aus Aschaffenburg und Hamburg ist es unsere Mission, Performance messbar zu machen – über alle Kanäle hinweg. Wir identifizieren Lücken im Tracking, heben versteckte Datenpotenziale und sorgen dafür, dass Attribution, Conversion-Tracking und Datenflüsse exakt das abbilden, was wirklich zählt. Klartext: Ungenaue Daten, fehlende Events oder Blackbox-Attribution sind für uns keine Randthemen, sondern echte Wachstumsbremsen. Wir denken Tracking ganzheitlich – von Setup und Server-Side-Implementierung über Consent Management bis hin zu sauberen Schnittstellen zwischen Shopsystem, CRM und Ad-Plattformen. Du analysierst bestehende Tracking-Setups , entwickelst sie strategisch weiter und schaffst eine Infrastruktur , auf der skalierbares Wachstum überhaupt erst möglich wird. Wir sind ambitionierte Macher und glauben daran, dass die perfekte Kombination aus Daten, Technologie und smarten Prozessen den Unterschied macht. In den kommenden Monaten möchten wir unsere Tracking-Architektur weiter professionalisieren, Server-Side- und First-Party-Setups ausbauen, Automatisierungen und neue Technologien integrieren, um das Maximum aus unseren Kampagnen und Kundendaten herauszuholen. Um unsere Mission weiter voranzubringen, suchen wir dich als Tracking Specialist (m/w/d) Aufgaben Dein Verantwortungsbereich • Tracking-Setup & Architektur: Du baust neue Tracking-Setups auf (in der Regel via Google Tag Manager) und entwickelst bestehende Implementierungen strategisch weiter. • Monitoring & Troubleshooting: Du überwachst laufende Tracking-Setups, analysierst Fehlerquellen und behebst Issues in Pixel-, Tag- und Analytics-Implementierungen strukturiert und nachhaltig. • Analytics & Pixel Management: Du pflegst und optimierst bestehende Google-Analytics- sowie Marketing-Pixel-Implementierungen und stellst eine saubere, valide Datengrundlage sicher. • Innovation & Automatisierung: Du entwickelst den Tracking-Bereich aktiv weiter – von Automatisierungen und Custom Templates bis hin zur Konzeption kleiner Tracking-Produkte, die unsere Agentur technologisch nach vorne bringen. Qualifikation Dein Background • Erfahrung: Mindestens 2 Jahre Erfahrung im Webtracking oder Performance Marketing. • Analytics-Know-how: Sehr gute Kenntnisse in Google Analytics (idealerweise GA4). • Arbeitsweise: Strukturierte, organisierte und lösungsorientierte Herangehensweise. • Analytisches Verständnis: Starkes betriebswirtschaftliches Denken sowie ausgeprägte konzeptionelle und analytische Fähigkeiten. • Kundenorientierung: Hoher Serviceanspruch und professionelles Auftreten gegenüber Kunden. • Soft Skills: Teamfähigkeit, klare Kommunikation sowie hohe Eigeninitiative und Eigenverantwortung. • Sprachen: Verhandlungssichere Deutsch- und Englischkenntnisse in Wort und Schrift. Benefits Deine Benefits • Flexibles Arbeiten, keine Pflichttage • Rundum Versorgung im top modernen Headquarter am bayerischen Untermain, Fitnessraum, Gaming Room auf über 1.600 qm uvm. • Flache Hierarchien & kurze Entscheidungswege • Ein starkes Onboarding, regelmäßige Weiterbildungen & Konferenzen Also, bewirb dich noch heute und setze dich an unserer Seite dafür ein, unsere Kunden in die Pole Position zu bekommen. Wir freuen uns schon darauf, dich bald kennenzulernen. Julia und das Team von Sunlab PS: Du kannst uns auch einfach anrufen 06021 4228997 oder auf LinkedIn eine Nachricht schicken. Find more English Speaking Jobs in Germany on Arbeitnow

En la Universidad Católica Santo Toribio de Mogrovejo nos encontramos en la búsqueda del mejor talento docente para nuestra Escuela de Comunicación para el período 2026 II. Te invitamos a formar parte de la gran familia USAT y pertenecer a nuestro staff de docentes para transformar la vida de nuestros jóvenes estudiantes, a través de una formación integral. Requisitos • Acreditar título profesional (deseable). • Acreditar el grado académico de maestro (excluyente). • Experto en su especialidad. • Experiencia laboral y/o académica en el área de la asignatura que postula. • Manejo de TIC´s. Curso • PROYECTO DE INVESTIGACIÓN (VIRTUAL) Beneficios • Formar parte de la Universidad más prestigiosa de la región. • Capacitación constante dentro de los programas de USAT. • Beneficios corporativos y de acuerdo a ley, entre otros. • Salario acorde al mercado. ¡USAT, comprometidos con tu proyecto de vida! En USAT promovemos una cultura organizacional inclusiva y respetuosa de la diversidad, en concordancia con la Ley N.º 29973 y la Ley N.º 26772. Please mention the word **GLOWINGLY** and tag RMjAuMTIzLjExNS4xMTA= when applying to show you read the job post completely (#RMjAuMTIzLjExNS4xMTA=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re 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. This is a remote position. We are looking for candidates in the UK, Germany, Sweden or Spain. About the Role We’re looking for a Staff Product Analyst to join our growing Product Analytics team and serve as a strategic partner to Grafana’s AI organization . This role will support the teams building Grafana Assistant , our synchronous chat experience; Investigations , our asynchronous AI workflow for incident analysis; and AI observability solutions , including Sigil . You will shape how the AI team measures success by defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions. This is a highly cross-functional role. You’ll work closely with Product, Design, Engineering, and Data partners, with a primary focus on supporting the AI team, and report to the Product Analytics Manager If you’re excited about building strong product analytics capabilities and using data to shape the future of AI-powered experiences at Grafana , we’d love to hear from you. You Will • Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning • Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes • Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows. • Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions. • Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team • Influence best practices for Product Analytics across teams and help define standards as the company scales • Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions. You have • Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing) • Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows. • SQL: writing complex yet efficient SQL is a daily habit for you • Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana! • Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git) • Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development. • Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success A plus if you have • Knowledge about observability • Familiarity with Airflow or Prefect - generating ad hoc ETL jobs In Sweden, the Base compensation range for this role is SEK 775,444 - 930,533 . Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re 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. This is a remote position. We are looking for candidates in the UK, Germany, Sweden or Spain. About the Role We’re looking for a Staff Product Analyst to join our growing Product Analytics team and serve as a strategic partner to Grafana’s AI organization . This role will support the teams building Grafana Assistant , our synchronous chat experience; Investigations , our asynchronous AI workflow for incident analysis; and AI observability solutions , including Sigil . You will shape how the AI team measures success by defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions. This is a highly cross-functional role. You’ll work closely with Product, Design, Engineering, and Data partners, with a primary focus on supporting the AI team, and report to the Product Analytics Manager If you’re excited about building strong product analytics capabilities and using data to shape the future of AI-powered experiences at Grafana , we’d love to hear from you. You Will • Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning • Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes • Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows. • Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions. • Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team • Influence best practices for Product Analytics across teams and help define standards as the company scales • Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions. You have • Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing) • Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows. • SQL: writing complex yet efficient SQL is a daily habit for you • Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana! • Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git) • Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development. • Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success A plus if you have • Knowledge about observability • Familiarity with Airflow or Prefect - generating ad hoc ETL jobs In Spain the Base compensation range for this role is €82,988 - €99,586. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will d

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re 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. This is a remote position. We are looking for candidates in the UK, Germany, Sweden or Spain. About the Role We’re looking for a Staff Product Analyst to join our growing Product Analytics team and serve as a strategic partner to Grafana’s AI organization . This role will support the teams building Grafana Assistant , our synchronous chat experience; Investigations , our asynchronous AI workflow for incident analysis; and AI observability solutions , including Sigil . You will shape how the AI team measures success by defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions. This is a highly cross-functional role. You’ll work closely with Product, Design, Engineering, and Data partners, with a primary focus on supporting the AI team, and report to the Product Analytics Manager If you’re excited about building strong product analytics capabilities and using data to shape the future of AI-powered experiences at Grafana , we’d love to hear from you. You Will • Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning • Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes • Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows. • Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions. • Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team • Influence best practices for Product Analytics across teams and help define standards as the company scales • Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions. You have • Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing) • Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows. • SQL: writing complex yet efficient SQL is a daily habit for you • Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana! • Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git) • Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development. • Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success A plus if you have • Knowledge about observability • Familiarity with Airflow or Prefect - generating ad hoc ETL jobs In Germany, the Base compensation range for this role is €97,034 - €116,441. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter wi

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re 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. This is a remote position. We are looking for candidates in the UK, Germany, Sweden or Spain. About the Role We’re looking for a Staff Product Analyst to join our growing Product Analytics team and serve as a strategic partner to Grafana’s AI organization . This role will support the teams building Grafana Assistant , our synchronous chat experience; Investigations , our asynchronous AI workflow for incident analysis; and AI observability solutions , including Sigil . You will shape how the AI team measures success by defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions. This is a highly cross-functional role. You’ll work closely with Product, Design, Engineering, and Data partners, with a primary focus on supporting the AI team, and report to the Product Analytics Manager If you’re excited about building strong product analytics capabilities and using data to shape the future of AI-powered experiences at Grafana , we’d love to hear from you. You Will • Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning • Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes • Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows. • Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions. • Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team • Influence best practices for Product Analytics across teams and help define standards as the company scales • Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions. You have • Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing) • Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows. • SQL: writing complex yet efficient SQL is a daily habit for you • Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana! • Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git) • Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development. • Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success A plus if you have • Knowledge about observability • Familiarity with Airflow or Prefect - generating ad hoc ETL jobs In the UK, the Base compensation range for this role is £91,755 - £110,106. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter wil

Welcome to Huble , a HubSpot’s 2024 global partner of the year! Huble is an international digital business & CRM consultancy and an Elite HubSpot Partner . We help businesses scale and optimize their sales, marketing, and service operations through cutting-edge digital strategies and CRM-driven transformation. Our clients range from mid-sized businesses to global enterprises, and we pride ourselves on our ability to deliver strategic and creative consulting and advanced technology solutions . A…

Are you a talented Senior AI Engineer/Architect looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in the US and Europe. What we offer: • The rate depends on your skills and experience. We've already paid out over $11M to our engineers. • No more hunting for clients or negotiating rates — let us handle the business side of things so you can focus on what you do best. • We'll manually find the best project for you according to your skills and preferences. • Choose a schedule that works best for you. It’s possible to communicate async or minimally overlap within team working hours. • We respect your seniority so you can expect no micromanagement or screen trackers. • Communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah? • We will support you from the time you submit the application throughout all cooperation stages. • Most of our projects involve working in a fast-paced startup environment. We hope you like it as much as we do. • Through our community, we will connect you with the best developers from more than 75 countries. We have several AI-related roles; here are some of them. Requirements - AI Engineer: • 3+ years of commercial experience applying AI to practical technology solutions • A solid understanding of Python is a must; experience with other programming languages commonly used in AI is a plus • Experience with Vector Databases, Pinecone or Weaviate is required • 2+ years of experience with LangChain is mandatory • 2+ years of experience with large language models (LLMs) or vLLMs is mandatory • 2+ years of experience with RAG or OpenAI is required Requirements - AI Agent Architect: • 3+ years of experience with Python • 3+ years of experience with LLM • Experience with Multi-agent systems architecture, AI agent orchestration, AI telemetry is a must. Requirements - AI Automation Architect: • 1+ year of experience with Workflow Automation and Webhooks • 3+ years with SQL is a must • Familiarity with AI API integration and Claude Cowork is a must • Knowledge of Make.com/n8n/Zapier • Strong technical skills: as a Senior AI Engineer/Architect, you are expected to be able to create projects from scratch and have a deep understanding of application architecture. • Clear and effective communication in English — advanced ability to discuss business tasks, justify decisions, and communicate issues. Good self-presentation is also essential for upcoming client calls. • Strong self-organizational skills — ability to work full-time remotely with no supervision. • Reliability — we want to trust you and expect that you won’t let us and the client down. • Adaptability and Flexibility — the ability to onboard the project promptly after accepting it and start delivering results quickly. Sounds good for you? Apply now and join the Lemon.io community! NOT YOUR TECH STACK? We have a variety of projects, so if you have 4+ years of commercial software development experience and are proficient in Site Reliability Engineering, Platform Engineering, React & Python, React & Golang, Golang, React & Java, React & Ruby, Ruby, PHP & Vue, Vue & Node.js, React & .NET, Android & iOS, iOS & Swift, Flutter, Blockchain (Ethereum/Ethers.js/Wagmi/Viem/Solana), Angular & Node.js, Vue & .NET, Python & Vue, DevOps, MLOps, Data Science, Angular & PHP, Angular & .NET, Symfony & React, Symfony & Vue, Symfony & Angular, Python, Symfony & JavaScript & Next.js & TypeScript, Data Analysis, React & PHP, Data Engineering, Project Management, Product Management, QA Automation, QA Manual, Embedded Software Engineering, React Native & Node, React Native & React, React Native & Ruby, React Native & Python, WordPress, Android, Data Annotation, Angular, Python & Node, React & Node.js, Java & Spring, Svelte & Python, Svelte & Node.js, Svelte & TypeScript, Rust, Shopify & JavaScript, Vue & Nuxt, PHP & Laravel, UI/UX Design, Animation, Graphic Design, React & Node & React Native, .NET & C#, Electron, Scala, C++, Unreal Engine & C++, Python & LLM, Unity, or Machine Learning Engineering, we would be happy to connect with you and match you with a project that fits your experience. We work with developers from 75+ countries across Europe, Latin America, North America (the U.S. and Canada), selected countries in Asia (Japan, Singapore, South Korea, the Philippines, Indonesia, Malaysia, Vietnam, Thailand, and Israel), Oceania (Australia, New Zealand, and Papua New Guinea), and Africa (including Morocco and South Africa). Please mention the word **DELICACY** and tag RMjAuMTIzLjExNS4xMTA= when applying to show you read the job post completely (#RMjAuMTIzLjExNS4xMTA=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re 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. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain, Germany or Ireland. About the role: We are looking for a Staff Software Engineer - SRE to help us support our highest value Grafana Cloud customers by increasing the reliability of our Cloud databases that are based on Mimir, Loki, Tempo, and Pyroscope. We provide these databases as a SaaS product from AWS, GCP, and Azure across all regions. The SRE team is embedded within the Mimir, Loki, and Tempo squads and focuses on ensuring that Grafana Cloud’s database products deliver exceptional reliability for our highest-SLA customers. In this role, you will: • Partner closely with product engineering squads (embedded model) • Own production reliability for high-SLA and complex customer environments • Design and implement automation to scale our reliability practices • Ensuring our customers meet our SLO targets • Define and evolve per-tenant SLOs and reliability models • Proactively reduce SLO burn to prevent repeat incidents • Serving as a primary escalation point and on-call for relevant incidents • Lead customer-impacting incident response and post-incident reviews • Contribute to design docs and code reviews • Influence feature design to ensure production scalability and operability • Build automation to eliminate toil where needed • Improve alert quality and reduce noisy escalations We seek a staff software engineer operating at the intersection of customer needs, production systems, and product engineering. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). What we seek: • 8+ years engineering experience, 4+ in SRE/CRE/production engineering. Strong preference for those with formal customer reliability engineering experience. • Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.). • Strong experience with technical leadership, leading a team through projects, mentoring other engineers on the team and serving as a force-multiplier • Experience operating multi-tenant systems in production • Strong experience designing and implementing SLOs • Experience with one or more programming languages (e.g. Go, Python, Java, etc) • Experience with Linux operating systems internals, and some knowledge of networking, cloud storage, and scaling. • Excellent problem-solving and troubleshooting skills. • Experience with calmly and actively participating in blame-free Incident Response, following up on actions, and writing high quality PIRs (Post Incident Reviews, a.k.a. post-mortem documents) • Ability to reason about performance, scaling, and failure modes • Comfortable working within an engineering team where individuals are encouraged to have a strong sense of autonomy and self-direction. • Ability to partner deeply with product engineering teams • We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) Your day-to-day will includ

OWNER développe un SaaS qui permet d'accompagner les dirigeants de TPE/PME dans l'optimisation fiscale et sociale de leur structure, en leur permettant d'identifier automatiquement les leviers d'optimisation adaptés à chaque entreprise. Micro-crèches, ambulanciers, artisans, restaurateurs, pharmaciens… chaque jour, on leur fait économiser des milliers d'euros en optimisant leur structure sociale et fiscale. Aujourd'hui Owner c'est : 500 dirigeants accompagnés 15M€ d'économies générées pour nos …

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