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AI Engineer

Uliasti is a Zürich-based technology consulting firm and software studio, active since 2015 and an official Anthropic Claude partner. We build AI agents, assistants and LLM integrations, data platforms and custom software for Swiss businesses in regulated and demanding industries: banks and fintechs, insurers, cantons and public administration, notaries, fiduciaries, MedTech, manufacturing and e-commerce. We are a small, focused team based in Zürich, with colleagues distributed across several cities and countries. We don't hire often, and we take hiring seriously.What you will doDesign and build production-grade AI systems: agents, copilots and LLM integrations with guardrails, audit trails and human approval stepsTake projects from assessment and prototype through to production: hardening, testing, documentation and monitoringIntegrate AI into existing business systems and legacy landscapes (ERP, CRM, ITSM, banking platforms) rather than replacing themBuild the data foundations behind it: pipelines, integrations and APIsWork directly with clients, from first assessment to running systems, as a partner rather than a vendorContribute to our own products, including Advanzo, Techify, Vesterly and Uliasti AIWhat you bringSolid software engineering background across backend and infrastructure, and the habit of building software as if you will maintain it for yearsHands-on experience shipping LLM-based applications to production, ideally with Claude or comparable modelsComfort with data engineering: pipelines, integrations, data modelsSecurity and compliance awareness: privacy by default, access controls, Swiss/EU data residencySelf-management and ownership; you make decisions close to the work and communicate clearly in writingGerman and English; you work with Swiss clientsBased in or near Zürich, or willing to be here regularlyWhat we offerReal production work for Swiss clients where AI has to hold up under audit, not demosClear thinking over noise, responsibility over hierarchy, progress over perfectionEight focused hours are enough to do great work; overtime is the exceptionFew meetings, mostly written communication, decisions made close to the workA small team where you grow with the company long termDirect work with Anthropic's Claude platform as an official partner

Forward Deployed Engineer

Requirements: 3 years professional software development experience. AI-native: deep fluency with modern AI tools (LLMs, coding agents, copilots) as a core, daily part of how you build, debug, research, and learn. Familiarity with Agentic system, workflow design, harness integration and agentic engineering. Entrepreneurial mindset: independent, self-motivated, and driven — open-source contributions, grants, or founding/early-stage roles are a strong signal. Strong work ethic, team player, and detail-oriented. Based in Switzerland and able to work full-time from our office in Zug. Responsibilities: Develop and maintain backend tooling and services in Rust, React, Python and TypeScript, leveraging AI coding agents and copilots throughout the development workflow. Work closely with the CTO and Development teams to align on product specs and deployment. Build and maintain internal tooling utilized by the whole team to streamline business process and improve operational efficiency. Work closely with different departments to receive and understand requirement and design and develop solutions. Participate in technical discussions and contribute to architectural decisions for on-chain protocols and off-chain infrastructure. Work closely with the broader engineering and investment teams to automate internal processes and support capital deployment decisions with on-chain data and insights. Technologies: AI Backend Blockchain CTO Support Liquid Python React Rust TypeScript More: Company Overview: Dialectic is a crypto-native firm of builders and capital advisors focused on investing in and building software across emerging crypto and blockchain technologies. We advise multiple liquid crypto funds specializing in DeFi yield strategies, run venture activity in the crypto/blockchain space. We produce outlier results through diversified investment strategies across the decentralized finance ecosystem. Job Summary: We are looking for an Forward Deployed Engineer to join our team full-time and support development across the blockchain stack and internal tooling. This position offers an exciting role as part of a small and dynamic team, with the ability to shape and impact technical decisions and direction while leveraging modern AI tooling to ship faster and smarter. Benefits: Dialectic offers an exceptional work culture: - Dynamic and collegiality in a small team working in fields that are shaping the future of our society. - As a modern employer, we offer you contemporary working conditions, a lot of space to develop yourself alongside the company as well as exciting and challenging projects. - Compelling compensation, bonus, and participation opportunities. - Exposure to extremely talented people and very interesting clients who have unique investment profiles. - Supportive work and team atmosphere with flat hierarchies and a strong entrepreneurial spirit. - Dialectic is an equal-opportunity employer with a strong diversity of ideas. Cross-Domain Developer Zug, Switzerland last updated 44 week of 2026

Senior back-end Engineer

Senior Developer? Work Remote. Get Paid Well. Build What Matters.   Lemon.io connects hand-picked senior developers with vetted startups across the US and Europe — no bidding wars, no ghosting, just serious opportunities. We're currently hiring for a research-driven AI company on a mission to slash the cost of modern AI — co-designing hardware, software, algorithms, and models to make AI's benefits accessible to everyone. They're active open-source contributors, building the infrastructure behind next-generation AI at scale.   Open roles: Senior Back-end Engineer (Golang), Senior DevOps Engineer, Senior Site Reliability Engineer, Senior Storage Engineer, Senior Python & LLM Developer, Senior Back-end Engineer (Python)   Why this one's worth a look: You'll be working on infrastructure that directly shapes how AI gets built and deployed, at a company operating at the frontier of the field. Locations: the UK, Singapore, the US, and Canada.   Requirements for Senior Back-end Developers: 5+ years of software development experience 3+ years of experience with Golang and/or Python 2+ years of experience with Kubernetes 2+ years of experience with AI agent development   Not your stack? We're placing Senior Developers (4+ yrs commercial experience) across AI Agent Architecture, AI Automation Architecture, AI Engineering, 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 & Firebase, Solutions Engineer, 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 and more. Reach out and we'll match you.   We work with developers across 75+ countries in Europe, Latin America, North America, select Asian markets (Japan, Singapore, South Korea, Philippines, Indonesia, Malaysia, Vietnam, Thailand, Israel), Oceania (Australia, New Zealand, Papua New Guinea), and Africa (including Morocco, South Africa).

Senior System Engineer/Architect (Fokus OneIdentity und IAM-Gesamtarchitektur) 80-100%

Requirements: Abgeschlossenes Studium der Informatik, Ausbildung zum / zur Fachinformatiker:in oder eine vergleichbare technische Qualifikation Mehrjährige Berufserfahrung in der Administration und dem Engineering komplexer IAM-Systeme und hybrider Architekturen (AD, Entra ID) Fundierte Kenntnisse im OneIdentity Manager (oder einem vergleichbaren IGA/IAM-Tool) Fundierte Kenntnisse im Microsoft-Umfeld (Active Directory, Entra ID und M365) Sehr gute SQL- und PowerShell-Kenntnisse Fähigkeit, Skripte und Business-Logiken im OneIdentity-Umfeld (z.B. VB.NET/C#) zu lesen, zu analysieren und bei Bedarf anzupassen Erfahrung in der methodischen Führung von (externen) Partnern oder Engineers bei komplexen IAM-Implementierungen ohne direkte Linienverantwortung Fundierte Kenntnisse in Rollen- und Rechteverwaltung sowie Access Governance Sehr gute Deutsch- und Englischkenntnisse Responsibilities: Technische Architektur innerhalb der OneIdentity-Suite verantworten (Designer, Manager, Web Designer und Object Browser) Komplexe Business-Logiken und Genehmigungsworkflows implementieren, dabei Standard-Funktionalitäten vor komplexem Customizing bevorzugen Identitätsflüsse über alle Systeme hinweg verstehen Product Owner sowie Fachbereiche zu technischen Auswirkungen von Anforderungen beraten Sicherstellen, dass Architekturprinzipien und IAM-Richtlinien in den Lösungen berücksichtigt werden Engineers in technischen Fragestellungen coachen und den Wissenstransfer innerhalb des Teams fördern Architektur- und Code-Reviews durchführen (QS) Lösungsvarianten auf ihre Nachhaltigkeit bewerten Architekturdokumentation verantworten und den Abbau technischer Altlasten planen Als technischer Ansprechpartner für Applikations-Integrationen agieren und das IAM Onboarding-Team bei der Anbindung komplexer Applikationen beraten Technische Integrationswege definieren und sicherstellen, dass neue Systeme gemäss den Architekturvorgaben angebunden werden Die Roadmap für die Weiterentwicklung der OneIdentity-Plattform in Richtung einer modernen Cloud-Identity-Architektur (Entra ID) definieren Den Product Owner bei der technischen Bewertung und Architekturplanung der Weiterentwicklung der OneIdentity-Plattform unterstützen Technische Anforderungen und Architekturentscheidungen ableiten Das Team im AD/Entra ID Bereich im Engineering unterstützen und bei der technischen Anbindung an das IAM beraten Tiefliegende Probleme (z.B. SQL-Fehler, Synchronisation-Konflikte) lösen Prozesse nachhaltig optimieren, um die Effizienz des IAM-Betriebs kontinuierlich zu steigern Technologies: Active Directory C# Cloud Git IAM PowerShell Product Owner SQL Web Architect DevOps Support More: Du bist das technische Herzstück unserer IAM-Lösung und übernimmst die Rolle des Lead Engineers und Architekten für unsere zentrale Identity-Governance-Plattform. Gemeinsam mit Product Owner und Team Coach gestaltest du die technische Zukunft unserer IAM-Landschaft und sorgst für eine nachhaltige, skalierbare und sichere Architektur. Du schaust über den Tellerrand hinaus (Privileged Access Management, Partner IAM, Customer IAM) und stellst sicher, dass alle Komponenten zu einem sicheren und effizienten Gesamtsystem verschmelzen, wobei du konsequent auf Standardisierung setzt. Das Universitätsspital Zürich ist eines der grössten Spitäler in der Schweiz. Unsere über 8600 Mitarbeitenden und rund 700 Auszubildende setzen sich täglich für das Wohl unserer Patient:innen ein. last updated 44 week of 2026

Associate Business Product Owner

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Please note that we already have a pre-identified candidate for this position. Global Customer Support (GCS) is the global organization responsible for best-in-class service excellence in the Diagnostics Division. GCS supports the regional and local service organizations of Roche Diagnostics by providing training, knowledge, spare parts, and digital tools to meet their needs for successful enablement of customer operations. We are the voice, and the bridge between the service teams and the Global Business teams, ensuring customer satisfaction is at the center of product designs and updates.   Within GCS, the Digital Service Solutions (DSS) chapter is managing a state-of-the-art service and data management IT portfolio. We drive innovation by bringing together and developing highly skilled business experts, with the ability to translate complex business needs into efficient digital solutions, and run agile teams for delivery and support. To do what really matters, we co-create with customers, both internally and externally.   For our customer-facing portfolio in digital service solutions, DSS is looking for a senior professional (m/f/d) with passion for service business and sound background in the design of advanced information systems. In this role you will orchestrate digital business transformation and oversee critical deliverables; such as business capability model and product backlog. A Senior Business Product Owner will take a leading role in bringing the vision of their respective product in the portfolio to life while finding synergies and optimizations within the entire ecosystem.  The opportunity: Leverages market landscape knowledge, innovative thinking, and automation concepts to deliver novel business solutions that enable business strategy  Drives innovation and efficiency of digital process chain and customer journey, end-to-end, within DSS and across product and domain boundaries Is accountable for Business Program related demand exploration, analysis, and roadmap delivery. Contributes to the domain roadmap plan Collaborates across programs and value streams, to build efficient end-to-end processes, data models or products, and ensuring functionality   Who you are: Strong communication and (senior) stakeholder management skills - you are able to inspire and motivate others Excellent English (verbal and written) The ability to keep the big picture in mind, visualize it, communicate it and implement it with high self-motivation for having an impact on our customers and ultimately patients Sound background in relevant technologies, such as Salesforce CRM, Data Cloud,  Advanced Analytics, AI, medical/IVD device engineering, lab automation  Demonstrated strategic thinking with the ability to translate strategies to tangible outcomes, combined with strong solutioning, problem-solving and analytical skills Entrepreneurial mindset: solution oriented, adaptable, customer-centric   As the Senior Business Product Owner you will be expected to demonstrate Roche Operating Principles: Put patients first Follow the science Act as one team Embrace differences Accelerate learning Simplify radically Make impact now Think long term   This role requires up to 30% of international travel.      Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

Research Engineer, Production Model Post-Training

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends. Responsibilities: Implement and optimize post-training techniques at scale on frontier models Conduct research to develop and optimize post-training recipes that directly improve production model quality Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation Develop tools to measure and improve model performance across various dimensions Collaborate with research teams to translate emerging techniques into production-ready implementations Debug complex issues in training pipelines and model behavior Help establish best practices for reliable, reproducible model post-training You may be a good fit if you: Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities Adapt quickly to changing priorities Maintain clarity when debugging complex, time-sensitive issues Have strong software engineering skills with experience building complex ML systems Are comfortable working with large-scale distributed systems and high-performance computing Have experience with training, fine-tuning, or evaluating large language models Can balance research exploration with engineering rigor and operational reliability Are adept at analyzing and debugging model training processes Enjoy collaborating across research and engineering disciplines Can navigate ambiguity and make progress in fast-moving research environments Strong candidates may also: Have experience with LLMs Have a keen interest in AI safety and responsible deployment We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Solution Architect

Requirements: Proven experience in solution architecture with focus on Oracle Forms integration and modernization Strong understanding of management systems and related processes such as scheduling and market operations Demonstrated ability to assess risks and align IT solutions with organizational strategy Expertise in guiding cross-functional teams and translating business needs into scalable technical designs Product-oriented mindset with emphasis on continuous delivery and optimization Professional fluency in English Responsibilities: Lead the design and integration of legacy Oracle Forms applications with modern technologies to support critical operations Ensure system reliability and availability for business-critical processes including scheduling and TSO nominations Collaborate with internal team members, client managers and third-party vendors to maintain alignment and clear communication Oversee support activities, troubleshooting and enhancements for existing management applications during the maintenance phase Define and implement an IT roadmap that enables modernization and scalability of management solutions Facilitate technical meetings to present architectures, gather feedback and coordinate implementation efforts Translate architectural concepts into operational processes ensuring smooth handover and compliance with business goals Technologies: Architect C# Support Oracle Python TSO More: Were looking for a Solution Architect to join our team in Zurich, Switzerland in a hybrid working mode. The position involves sustaining and evolving a suite of internally developed applications built on Oracle Forms, Python and C#, enabling operational stability while driving modernization initiatives within the power, utilities and renewables domain. This is an excellent opportunity to provide architectural leadership, guide legacy-to-modern solution design and shape enterprise-leve platforms within a highly regulated sector. We offer/Benefits - 5 weeks of vacation - EPAM Employee Stock Purchase Plan (ESPP) - Enhanced parental leave - Extended pension plan - Daily sickness allowance insurance - Employee assistance program - Global business travel medical and accident insurance - Learning and development opportunities including in-house training and coaching, professional certifications, and courses *All benefits and perks are subject to certain eligibility requirements - Please note that any offers will be subject to appropriate background checks - We do not accept CVs from recruiting or staffing agencies - For this position, we are able to consider applications from the following: - Swiss nationals - EU/EFTA nationals - Third-country nationals based in Switzerland with an appropriate work permit - Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits last updated 44 week of 2026

Senior Software Engineer Ruby on Rails

Requirements: Interesse und Freude am Software Engineering im Bereich der Prozessdigitalisierung Mehrere Jahre Erfahrung mit Ruby on Rails als Full Stack Software Engineer (inkl. SQL) Erfahrung im Umgang mit Linux-Systemen und Command Line Interfaces (inkl. shell-only mit remote Systemen via ssh, scp, vim etc.) Arbeiten mit viel Eigenverantwortung und im Team Sehr gute Deutschkenntnisse Responsibilities: Als Software-Entwickler bei Sitrox bist du für den ganzen Stack und Life Cycle von Applikationen zuständig. Du arbeitest in einem jungen, kompetenten Team an hochinteressanten Projekten unter Einsatz modernster Technologien. Wir bieten dir einen sicheren Arbeitsplatz mit attraktiver Atmosphäre, viel Eigenverantwortung, hoher Eigenkompetenz und ohne Bürokratie. Wir suchen sowohl für individualisierte Kundenprojekte als auch für langjährig erprobte Produkte Verstärkung in unseren Teams. Technologies: Linux ROS Rails Ruby SQL Web CSS Git HTML5 JavaScript MariaDB MySQL More: Sitrox entwickelt und betreibt web-basierte SaaS-Lösungen (Individualentwicklungen und Produkte) zur Optimierung von Geschäftsprozessen und der damit verbundenen Datenverwaltung. Der Fokus liegt im Bereich der Prozessdigitalisierung mit dem Ziel bestehende Arbeitsabläufe zu erleichtern und die Effizienz der Prozesse zu steigern. Die Kunden aus unterschiedlichsten Branchen profitieren von der langjährigen Erfahrung in der in-house Entwicklung mittels eigens entwickeltem Framework und dem Betrieb in eigenen Rechenzentren. **Deine Challenge** - Anspruchsvolle Projekte - High-Profile Kunden - Branchenvielfalt - Viel Eigenverantwortung - Sprung ins kalte Wasser **Dein Setup** - Junges und kompetentes Team - Freie Wahl von Desktop-OS / Editor - Guter Teamgeist - Free Drinks & Snacks - Sichere Arbeitsplätze **Dein Fun** - Attraktive Atmosphäre & Büros - Keine Bürokratie - Coole Events - Gesunde Arbeitsumgebung - Hohe Eigenkompetenz Hier erfährst du mehr über deine Arbeit bei Sitrox und unsere Projekte: https://www.sitrox.com/jobs last updated 44 week of 2026

Senior Kubernetes Platform Engineer / DevOps Engineer (a) 80 - 100%

Requirements: Umfangreiche Praxiserfahrung als DevOps-, SRE-, Software- oder Platform-Ingenieur Sehr gute Expertise im Aufbau und Betrieb von Kubernetes (bevorzugt OpenShift) Beherrschung von Go oder technische Basis und Motivation, sich schnell und praxisnah in Go einzuarbeiten Erfahrung in der Entwicklung von Operators Erfahrung mit Helm, Helmfile, Prometheus, Grafana und komplexen Netzwerkstrukturen in Kubernetes Kenntnisse im Umgang mit Datenbanken innerhalb von Kubernetes von Vorteil Fokus auf Aufbau und Entwicklung neuer Lösungen (keine reinen Legacy- oder Maintenance-Aufgaben) Arbeitsumfang: 80–100% Responsibilities: Entwurf, Implementierung und Wartung einer zuverlässigen und skalierbaren Infrastruktur Unterstützung der bestehenden Anwendungen und Plattformen aus DevOps/SRE-Perspektive Vorantreiben der Automatisierung wiederkehrender Aufgaben (Toil Reduction) Entwicklung und Verfeinerung von Überwachungs-, Alarmierungs- und Troubleshooting-Strategien zur Minimierung von Ausfallzeiten Integration von Plattform-Infrastrukturen in enger Zusammenarbeit mit Development und Betrieb; Schulung und Unterstützung von Teammitgliedern; Erstellung von Dokumentationen Auf dem Laufenden bleiben zu aktuellen Trends und Integration neuer Lösungen Schreiben oder Überarbeiten von Helm-Charts zur Automatisierung von Software-Deployments Automatisierung von Repositories über GitLab CI/CD Entwicklung von Go-Code zur Abstraktion und Optimierung von Infrastrukturprozessen Erstellung und Automatisierung von Prometheus-Alerts sowie Pflege zugehöriger Playbooks Mitarbeit im gesamten Lifecycle von Bare-Metal-OpenShift-Umgebungen Recherche, Evaluation und Integration von Open-Source- und CNCF-Projekten in den bestehenden Technologie-Stack Technologies: CI/CD Cloud DevOps GitLab Grafana Helm Kubernetes Mobile MS Teams OpenShift Prometheus Security Linux macOS More: Standort: Zürich City (Weberstrasse), Glattbrugg (nahe Flughafen) oder hybrid innerhalb der Schweiz. CONVOTIS Schweiz AG ist Teil einer internationalen IT-Gruppe und bietet seit über 25 Jahren innovative IT- und Softwarelösungen mit eigenem Datacenter. Im Bereich Cloud & Security entwickeln und betreiben wir individuelle IT-Lösungen – von Managed Private Cloud Services über Modern Workplace bis hin zu Advanced Security Services, auch in hybriden Umgebungen. Wir schaffen für unsere Kund:innen eine sichere, skalierbare und moderne IT-Infrastruktur. Interesse? Lerne uns unverbindlich bei einem virtuellen Kaffee kennen. Lade deinen Lebenslauf hoch (Anschreiben nicht erforderlich). Wir kontaktieren dich für ein erstes kurzes Kennenlernen über MS Teams. Alle offenen Stellen unter: https://convotis.recruitee.com Benefits: - Persönliche Weiterentwicklung durch erfahrene Kolleg:innen und spannende Projekte - Unterstützung bei fachlicher Entwicklung; Übernahme von Kosten für relevante Weiterbildungen und Zertifikate - Teilweise Erstattung der Fahrtkosten - Firmenhandy und Laptop für mobile Arbeit - Flexible Arbeitszeiten; Möglichkeit, von fast überall zu arbeiten (Homeoffice/Remote) - Kostenlose Getränke im Büro - Regelmässige Events und Aktivitäten für Teambuilding last updated 44 week of 2026

Senior Solutions Engineer (German Speaking)

Business Area: Sales Engineering Seniority Level: Mid-Senior level Job Description:  At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry.  Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. At Cloudera, our goal is to make everyone feel valued for their contributions to the company’s mission. We are looking for smart people who want to do remarkable things. We strive to build an environment of casual intensity where people enjoy coming to work every single day. We are currently seeking a customer-facing, hands-on technologist with a track record of success to join us in Switzerland. As a Senior Solutions Engineer you will: Own the technical sales process from introductory meetings (net new sales) through post-sales (customer satisfaction, upselling, and subscription renewals) for enterprise data, machine learning, and AI platform solutions. Support the technical needs of customers including discovering new use cases for Cloudera’s technology, with a particular focus on Generative AI, predictive analytics, and enterprise MLOps. Design solutions for your customers’ needs using Cloudera technologies, based on reference architectures and common patterns (e.g., Open Data Lakehouse, Retrieval-Augmented Generation / RAG, and end-to-end ML pipelines). Demonstrate Cloudera products—including data engineering pipelines, model training/deployment workflows, and Generative AI features—in a way that inspires your customers to say “yes” to Cloudera. Partner with your Account Managers to show your customers the true business and technical value of a Cloudera solution and drive successful sales. Present product roadmap and vision—including state-of-the-art AI capabilities, hybrid MLOps, and secure data access—to inspire your customers to think bigger. Interface with other Cloudera teams to ensure your customers hear one Cloudera voice. Advocate for your customers’ needs to Product Management and Engineering. Participate in external publicity and evangelism (conferences, meetups, webinars, blogs) focused on hybrid data platforms, modern data engineering, and enterprise AI. Achieve goals aligned to a team target with annual sales expectations, as well as actively participate in knowledge exchange with peers and the wider community. We’re excited about you if you have: A passion for using technology to make a difference to people and organisations. We'll supply some amazing tools to help you with this and you'll provide the connection to use cases (especially around data analytics, AI/ML, and modern automation), which make it real for your customers. A minimum of 8 years experience in a customer-facing role, ideally in a pre-sales context focused on big data platforms, enterprise software, or advanced analytics platforms. The ability to create and give technical presentations and demonstrations that clearly translate complex data and AI concepts into strategic business value. Experience with some of the following technologies:Big Data, Data Warehousing, or Relational Databases (e.g., Apache Iceberg, Apache Spark, Hive, Hadoop ecosystem). AI & Machine Learning Ecosystems: Hands-on experience building, integrating, and deploying AI solutions using modern frameworks (e.g., PyTorch, Hugging Face, LangChain/LlamaIndex), vector databases, and MLOps tooling—with a deep understanding of GenAI architectures (RAG, fine-tuning, and model serving). One or more of the three major cloud service providers (AWS, Azure, or GCP). Formal cloud or AI/ML certifications are not required, but would be a great thing to have. Operations, Security, and Data Governance within the enterprise (including data privacy, compliance, and governance considerations for AI models and data assets). Unix or Linux environments and shell scripting. Experience gathering and understanding customer business requirements across traditional data engineering and modern AI applications. Excellent written and verbal communication skills. Fluent German language skills. Strong problem-solving skills and an analytical mindset. A willingness to learn, a curiosity to discover, and a drive to make your customers successful in their digital and AI transformations. Four-year degree (Bachelor's) from an accredited university required (Computer Science, Data Science, Engineering, or related quantitative field preferred). Ability to travel domestically and internationally. What you can expect from us: Generous PTO Policy  Support work life balance with Unplugged Days Flexible WFH Policy  Mental & Physical Wellness programs  Phone and Internet Reimbursement program  Access to Continued Career Development  Comprehensive Benefits and Competitive Packages  Paid Volunteer Time Employee Resource Groups EEO/VEVRAA #LI-ND3 #LI-Remote