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GPS Associate: Quantitative Analyst, 100% (f/m/d)

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together. Global Products & Solutions plays a central role in shaping client-focused investment strategies, developing innovative financial products, and providing expert advisory across all major asset classes. The GPS Associate Programme is a structured, two-year development journey designed for ambitious early-career professionals aiming to build a career in private banking. As part of the GPS Risk Management – Portfolio Performance and Risk Analytics team in Zurich, the individual will embark on a dynamic 18–24-month programme combining rotational assignments, intensive training, and mentorship with challenging projects and responsibilities. Through hands-on experience and continuous learning, the individual will develop the skills, network, and business acumen necessary to transition into a permanent role as a Quantitative Analyst within GPS upon successful completion. During the programme, the individual will rotate through 2-3 teams within GPS, gaining broad exposure to different asset classes, portfolio construction approaches, and investment strategies. The individual will have the opportunity to work directly alongside seasoned specialists and subject-matter experts, contributing to day-to-day business activities. Further, the individual will receive continuous support via a dual mentorship model that pairs a senior mentor for career guidance and a buddy for day-to-day integration. The GPS Associate Programme: Quantitative Analyst reports to Head of Portfolio Performance & Risk Analytics. YOUR CHALLENGE People management Contribute to the strengthening of the team spirit and the fostering of a collaborative work environment Build highly impactful relationships with global and regional stakeholders across functions in the Bank   Client management (internal & external) Handle investment performance measurement and analysis topics across all areas and locations of the Bank, and enhance IT solutions Provide advanced performance and risk analysis insights for equity, fixed income, and multi-asset class portfolios and strategies using various performance analysis methodologies and/or risk factor models Analyse investment performance outcomes across all decision-making levels of the investment process, and present findings to various stakeholders, including the Investment Committee and Portfolio Management Team Heads Develop and maintain advanced solutions to support portfolio performance and risk analysis, utilising expertise in Python, SQL, Tableau, VBA, etc Interface with market data and portfolio analytics vendors (Refinitiv, Bloomberg, MSCI, Morningstar), ensuring methodological consistency and analytical robustness in performance and risk reporting Develop and maintain effective relationships with internal stakeholders and collaborate with external partners and vendors to ensure smooth execution of business operations Business management Support the team’s strategic objectives and operational goals, driving business outcomes and results Identify opportunities to enhance functional efficiency and productivity, proposing process improvements and workflow optimisations, where relevant/appropriate Regulatory responsibilities &/or risk management Meet all legal, regulatory, and compliance standards/requirements Adhere to the standards and expectations outlined in the relevant user manuals and guidelines Demonstrate appropriate values and behaviours including, but not limited to standards on honesty and integrity, due care and diligence, fair dealing (treating customers fairly), management of conflicts of interest, competence and continuous development, adequate risk management, and compliance with applicable laws and regulations YOUR PROFILE Personal & social Able to effectively manage internal and external stakeholders from diverse backgrounds in a highly articulate and professional manner Strong interpersonal skills, empathic personality, charisma, and power of persuasion Open and approachable as well as displaying genuine interest in people Drive for results Strong ability for planning, organising, and communicating a clear vision Good judgement and ability to work under pressure   Professional & technical 2-4 years of professional experience (including internships) Relevant higher education and professional background: Master’s Degree in Applied Mathematics, Banking & Finance, Quantitative Finance, Economics, Engineering or Physics Data science know-how and experience with programming in Python Solid quantitative foundation in risk management, with a strong interest in portfolio performance analysis and risk analytics Comprehensive knowledge of financial markets and financial instruments across asset classes Good command of financial analytical skills Strong commercial judgement, business acumen and a broad understanding of the financial markets and products   Regulatory Familiarity with regulatory expectations and requirements Understanding of cross border rules and regulations We are looking forward to receiving your full job application through our online application tool. 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2027 Intern- Software Engineer

Internship Details Location: Basel, Switzerland Duration: 6 months full-time (1st July 2027 to 31st December 2027) Eligibility: EU or Swiss students enrolled in a Bachelor's, Master's, or Ph.D. degree program, graduating in 2028, and residing in Switzerland Hybrid arrangement: 3 days onsite at the office, 2 days remote work from home Annual Pay: 96,000 CHF The Opportunity  Adobe is seeking dedicated and curious Software Engineer interns to help design, build, and evolve the systems that power our products and platforms.   As an intern, you’ll work in an AI-enabled development environment, where modern tools accelerate how software is built and tested. You’ll collaborate with experienced engineers and multi-functional partners, including designers and product managers, to contribute to real-world systems while continuing to build your technical and problem-solving skills.   In Basel, we build Adobe Experience Manager (AEM), the industry leader in Experience Management. AEM helps our customers develop, manage, and deliver high-quality digital experiences for the world’s biggest brands. We’re also building something new: Adobe Brand Visibility, a product that helps brands understand and improve their visibility across AI-generated answers from ChatGPT, Gemini, Claude, and others. As people shift from searching to asking, brands need to know whether they’re being mentioned, how they’re described, and what to do about it. This is a genuinely new market, with open problems and few established playbooks. Join us for an internship in one of several open project areas: Backend Development (Java, Node.js, Python), Frontend Development (HTTP, HTML, JavaScript), Cloud Engineering, or Data Science. What's in it for you? Real impact: You’ll participate in important engineering projects that have a direct effect on Adobe’s products and platforms. Work alongside knowledgeable teams, address authentic challenges, and grow skills that count. Unforgettable memories: Our Internship Program is built to accelerate both personal and professional growth through curated learning sessions, mentorship, and peer networking. Authentic culture: At Adobe, you’re encouraged to be yourself. Our values: Create the future, Own the outcome, Raise the bar, and Be genuine build a culture where innovation thrives, ownership is celebrated, and authenticity is respected. What are we looking for? Curiosity and drive: you’re eager to learn, explore new ideas, and contribute to a global, market-leading company. Currently enrolled full-time and pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Computer Engineering, or equivalent experience is required. The anticipated graduation date should be in 2028, and the student should be located in Switzerland. Enthusiastic about programming with a solid grasp of ideas like Data Structures, OOP, Algorithms, and Problem Solving. Excited to work across data science, AI, and analytics. Help prepare and explore datasets. Experiment with machine learning models. Develop insights that support data-driven decisions across products. Solid knowledge of web technologies. Excellent verbal and written English communication skills; can effectively articulate complex ideas and influence others through well-reasoned explanations. Team collaboration: You enjoy working with others to deliver thoughtful, end-to-end solutions. Big picture thinking: You can connect the dots between day-to-day tasks and broader organisational goals. Ability to participate in a full-time internship between July and December. What to expect from the recruitment process? Our selection process typically includes the following stages: a 60-minute online assessment, followed by a visit to our office where we conduct a 60-minute technical interview with the team, and a 45-minute soft-skills conversation with the Hiring Manager. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.  Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com. AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

AI Enablement & Automation Engineer (80-100%, f::m::d)

Requirements: Professional experience in software engineering, automation engineering, systems integration, internal tooling, or a comparable hands-on technical role. Proven experience independently designing, building, and maintaining software, integrations, or automation solutions used in day-to-day operations. Strong practical programming or scripting skills and experience working with APIs, webhooks, data sources, business systems, and automation or integration tools. Practical familiarity with generative AI, AI assistants, or AI-supported workflows. Deep machine-learning or AI research expertise is not required. Understanding of authentication, authorization, secrets management, logging, monitoring, and basic cloud-security practices. Ability to understand operational problems and translate them into pragmatic, reliable, and maintainable technical solutions. Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders. Responsibilities: Process Automation & Solution Development Work closely with teams across the organization to understand workflows, identify bottlenecks, and uncover opportunities for process improvement and automation. Design and build internal automation and AI-enabled solutions, including assistants, agents, document workflows, extraction and classification, and knowledge search. Build and maintain integrations between AI services and systems such as SharePoint, Teams, Jira, Confluence, Zoho, and other internal tools using APIs, webhooks, scripting, and automation tools. Solution Ownership & Operations Take ownership of solutions beyond the prototype stage, including testing, deployment, monitoring, documentation, troubleshooting, and continuous improvement. Maintain and further develop existing automation and AI solutions across the organization. Establish reusable standards for integrations, access controls, testing, monitoring, error handling, documentation, and human review. AI Enablement & Governance Support teams in evaluating automation and AI ideas, developing suitable solutions, and using approved tools effectively. Identify and prioritize internal automation and AI use cases based on value, feasibility, effort, data sensitivity, risk, and expected adoption. Work closely with IT, Security, Privacy, Quality Management, Regulatory, Legal, and other relevant experts to translate agreed requirements into practical technical controls. Technologies: AI AI Agents Cloud Confluence Support JIRA Security SharePoint More: Join OnlineDoctor: Were Expanding! We are a fast-growing telemedicine company focused on improving access to dermatological care. Our platform uses technology to connect patients with dermatologists, enabling them to receive diagnoses and treatment plans remotely and asynchronously. Were looking for an AI Enablement & Automation Engineer to help us improve and automate internal processes across OnlineDoctor. You will work closely with teams across the organization to understand their workflows, and identify opportunities for automation, turning them into reliable technical solutions. This is a hands-on software engineering role focused on solving real operational problems. You will build and maintain automations, integrations, internal tools, and AI-enabled workflows, while ensuring that solutions are reliable, maintainable, secure, and appropriate for a regulated healthcare environment. You will work closely with the responsible compliance, security, privacy, quality, AI, and regulatory experts. You are not expected to make governance or regulatory decisions independently; your responsibility is to understand agreed requirements and translate them into effective technical solutions and operational controls. What we offer: - Flexibility: You decide if you want to work remote or if you prefer to visit one of our Offices (Hamburg, St. Gallen, Zürich). We offer you a flexible schedule and a working time model that suits you. - Learning culture: We offer you a steep learning curve in your daily work and support you in your personal and professional development through regular retro and inspiration sessions as well as advanced training. We are open for ideas and impulses and help you with the implementation. - Team events: Skiing in Switzerland, white water rafting in Vienna - we regularly get together with our entire team and thus increase our teamwork. - Fair salary: An attractive salary is a matter of course for us. - Additional benefits: Free choice of laptop, home office allowance, additional vacation day, etc. - Our Values: Respect and tolerance are part of our DNA. We actively support diversity and inclusion, believing they are the keys to a successful and healthy company culture. Work Location & Relocation: Due to current legal and regulatory reasons, we can only hire team members who live in Germany or Switzerland. If youre based elsewhere but excited to join OnlineDoctor, were happy to discuss and support your relocation to either country. Ready to Join Us? If weve convinced you, get in touch to apply for this position. We look forward to meeting you soon! 😊 last updated 44 week of 2026

Forward Deployed Engineer

About Us: DeepJudge is Switzerland’s leading AI and ICT scale-up, transforming how law firms and legal departments access and leverage their knowledge. Founded by former Google search engineers with PhDs in AI from ETH Zurich, and backed by top-tier Silicon Valley investors, we are building the intelligence layer that powers the legal industry. Every firm can license the same AI models, but no two firms share the same institutional knowledge. Decades of experience, work product, and precedent are often trapped across systems, underused and inaccessible. DeepJudge makes this expertise instantly available through world-class enterprise search and AI infrastructure, enabling firms to automate workflows, build knowledge-powered applications, and turn experience into a lasting advantage. Our technology is trusted by many of the world’s leading law firms, including Freshfields, Gunderson Dettmer, Holland & Knight, Arent Fox, and Cozen O’Connor. Headquartered in Switzerland with a growing team across North America, we are expanding rapidly and shaping the future of how professional knowledge is discovered and applied. At DeepJudge, we move fast, think rigorously, and care deeply about what we build. We combine cutting-edge research with close collaboration with our clients to deliver solutions that truly make an impact. If you want to be part of a team defining how AI transforms high-stakes knowledge work, this is the place to do it. About the role: As a Forward Deployed Engineer at DeepJudge, you own the technical implementation of our AI search platform for some of the world's leading law firms. Every customer environment is different: from cloud-native deployments to complex on-premise infrastructure, enterprise identity providers, document management systems, and datasets containing hundreds of millions of documents. Your mission is to ensure customers successfully deploy, integrate, and adopt DeepJudge in their environments. This is a highly technical, customer-facing engineering role that sits at the intersection of software engineering, infrastructure, and enterprise AI. You'll spend your time deploying software, solving complex integration and infrastructure challenges, troubleshooting production issues during customer implementations, and working directly with engineering teams to continuously improve the product and deployment experience. You'll collaborate closely with Sales Engineering, Product, Engineering, and Site Reliability Engineering to make every deployment faster, more reliable, and easier to operate. If you enjoy solving difficult technical problems, working directly with customers, and seeing the impact of your work in production, this role is for you. No travel is required for this role. Your responsibilities will include: Owning the technical solution end to end, from architecture and hands-on implementation through production rollout and adoption, adapting DeepJudge to the customer's environment and needs along the way. Deploying and configuring DeepJudge across cloud and on-premise customer environments. Integrating DeepJudge with enterprise systems such as document management systems, identity providers, cloud platforms, and other data sources. Troubleshooting complex issues across deployments, infrastructure, networking, authentication, integrations, and application behavior. Building deployment automation, implementation tooling, documentation, and operational playbooks that make customer deployments faster, easier, and more scalable. Working closely with Product, Engineering, and Site Reliability Engineering to solve complex technical challenges and improve both the product and deployment experience. Bringing recurring customer requirements and challenges back to the team and helping turn them into product and engineering improvements. Taking ownership beyond your immediate projects: spotting what is missing, fixing what is broken, and helping us build the processes and tools we need as we scale. You're a great fit if you: Have 3+ years of experience in Software Engineering, DevOps, Forward Deployment, Solutions Engineering, or a similar technical role. Have experience deploying or operating enterprise software in production environments. Have experience with technologies such as Kubernetes, Docker, Azure or GCP. Enjoy working directly with enterprise customers, building trusted technical relationships, and guiding complex implementation projects from kickoff to production. Enjoy troubleshooting complex technical problems that span infrastructure, integrations, and application behavior. Can communicate complex technical concepts clearly to both technical and non-technical audiences. Bonus: Experience with enterprise search, AI/LLM platforms, document management systems, Infrastructure as Code, or experience in a startup or high-growth SaaS environment What you can look forward to: Owning the deployment of AI systems that power knowledge discovery for some of the world's leading law firms. Solving challenging engineering problems across enterprise infrastructure, cloud platforms, authentication systems, and large-scale data environments Working closely with experienced engineers, product teams, and customers to shape both our platform and how it is deployed A high-ownership engineering culture founded by ex-Google search engineers and ETH Zurich AI PhDs, where customer feedback directly influences the product The opportunity to improve deployment tooling, automation, and operational processes as we scale globally A collaborative team in Zurich shaping how AI transforms professional knowledge work. At DeepJudge, we believe great teams are built on diverse perspectives and experiences. We are proud to be an equal opportunity employer and are committed to fostering an inclusive, high-performance culture where everyone can thrive. We welcome applicants of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, disability, veteran status, or any other characteristic protected by law. If this role excites you, but you feel you don’t meet every qualification, we encourage you to apply anyway and tell us why you’d be a great fit.

Site Reliability Engineer / Software Engineer (60-100%)

Requirements: Das bringst du mit (oder willst du bei uns auf das nächste Level heben): Erfahrung in den methodischen Patterns für Backend und Frontend von Web-Applikationen. Erfahrung in der Systemadministration und Kenntnisse in der Cloud-Infrastruktur mit Fokus auf Resilienz und Skalierbarkeit. Applikationsentwicklung in TypeScript und PHP. Umgang mit Incidents und Postmortems: Fähigkeit, schnell und selbständig auf Issues zu reagieren, die Ursachen zu analysieren und Lösungen zu entwickeln, um ähnliche Probleme in der Zukunft zu verhindern. Kommunikationssicher in Deutsch und Englisch. Responsibilities: Du bist am Puls unserer Systeme: Mit Tools wie Sentry spürst du Fehler in Echtzeit auf und behebst sie proaktiv und nachhaltig, noch bevor der Kunde überhaupt etwas davon merkt. Incident Response. Du reagierst auf Fehler, Störungen und Ausfälle, führst eine schnelle Ursachenanalyse (Root Cause Analysis, RCA) durch und entwickelst Lösungen gemeinsam mit dem Team. Im Anschluss erstellst du Postmortems, damit das ganze Team dazulernen kann. Du nutzt die gewonnen Insights als Ausgangslage, um die Code-Basis nachhaltig zu verbessern, Performance-Engpässe im Backend/Frontend zu eliminieren und gemeinsam mit dem Team resilientere Systemarchitekturen zu bauen, damit das System auch nach Jahren im Betrieb noch frisch ist. Prozessautomatisierung. Du identifizierst manuelle Prozesse und automatisierst sie, um die Effizienz zu steigern und menschliche Fehler zu reduzieren. Dokumentation und Wissensaustausch. Du lernst nicht nur selbst ständig dazu, sondern bringst deine eigenen Erkenntnisse in Form von kurzen Inhouse-Tech-Talks, Guides und Dokumentation zurück ins Team. Du übernimmst deinen Teil der Verantwortung für den Betrieb und die Überwachung des Systems unter Berücksichtigung der SLA. Technologies: Backend Cloud Frontend PHP Sentry TypeScript Web DevOps GraphQL REST React SQL More: Eine Engineering-Stelle mit Perspektive: Als Site Reliability Engineer löst du komplexe Knacknüsse mit direktem Impact und hältst anspruchsvolle Webapplikationen resilient und hochverfügbar. Du kannst dich dabei auf ein starkes und erfahrenes Team verlassen. Intelliact ist ein Spin-Off der ETH Zürich und hat in über 25 Jahren Schaffenszeit den Start-Up-Ethos nie verloren. Unser Ziel: Firmen aus verschiedenen Branchen (u.a. Maschinenbau, Anlagenbau, Handel etc.) dabei helfen, aus Produktdaten Mehrwert zu generieren. Statt auf Lösungen ab der Stange zurückzugreifen, denken wir einen Schritt weiter und entwickeln innovative, kundenspezifische Weblösungen (Business Productivity Apps, B2B-Commerce und Collaboration) mit bestmöglicher User Experience. Langweilig wird’s nie! Als Teil unseres Teams übernimmst du die Verantwortung für den Betrieb und die Pflege unserer anspruchsvollen und preisgekrönten Webapplikationen. Du agierst selbstständig und überwachst die Performance und Verfügbarkeit. Dabei arbeitest du als Teil des Entwicklungsteam, um die Reaktion bei Incidents zu optimieren und den Wissensaustausch voranzutreiben. Dein direkter Einfluss auf die Qualität, Stabilität und Effizienz unserer Systeme wird massgeblich zur Kundenzufriedenheit beitragen, welche sich auch in Branchenawards wie den Best of Swiss Web (2019: 3 Awards, 2021: 4 Awards, 2022: 5 Awards, 2024: 6 Awards, 2025: 7 Awards) wider spiegelt. https://intelliact.ch # Bewerbungsprozedere in 4 Schritten 1. Bewerbung mit Lebenslauf und Motivationsschreiben, welche unserer Apps dich am meisten überzeugt hat (in Deutsch) 2. Erstes Gespräch 45 bis 60 min (mit einer Selbsteinschätzung als Vorbereitung) 3. Zweites Gespräch, Assessment 120 min 4. Klären der finalen Modalitäten last updated 44 week of 2026

Senior Full-Stack SW Engineer E-Banking

Requirements: Einen Abschluss in Informatik oder Softwareentwicklung (ETH, Universität, FH, Schweizerisches eidgenössisches Diplom). Mind. 6 Jahre Erfahrung in der Softwareentwicklung über den gesamten Lebenszyklus (Analyse, Design, Implementierung, Testing und Deployment), idealerweise in einem agilen oder DevOps-Umfeld. Praktische Erfahrung im Aufbau von Webanwendungen mit modernen Single Page App Frameworks (Angular, SCSS) und Microservice-Architekturen basierend auf Kotlin und Java. Erfahrungen im Bankenumfeld und Investmentwissen, vorzugsweise im Umfeld E-Banking inklusive Avaloq. Zusätzliche Punkte für Erfahrung in iOS/Android-Entwicklung. Gute Deutsch- und Englischkenntnisse sind erforderlich. Affinität für Artificial Intelligence (AI) und Bereitschaft, mit AI Tools zu arbeiten. Responsibilities: Ist Java für Dich mehr als nur ein Urlaubsziel und «Spring» nicht nur eine Deiner Lieblingsjahreszeiten? Dann komm zu uns und gestalte das Wealth Management der Zukunft! Bei Vontobel glauben wir daran, die Zukunft zu gestalten, indem wir innovative Investmentlösungen schaffen, die den Erfolg unserer Kunden fördern. Wir suchen leidenschaftliche Menschen, die etwas bewirken wollen und bereit sind, modernste digitale Lösungen zu liefern. Du wirst bei uns nicht nur ein Softwareentwickler sein – Du wirst ein zentraler Akteur in unserem Vontobel DigiHub, der in einem vielfältigen, innovativen und interdisziplinären Team arbeitet, um bahnbrechende Produkte zu entwickeln. Unsere Lösungen umfassen die E-Banking-Plattform mit Apps für private und professionelle Kunden, die digitale Investment-App Vontobel Volt, ein digitales Onboarding, eine Applikation für risikobasierte Investmentberatung, sowie kollaborative Tools, mit welchen Berater gemeinsam mit Kunden Produktkonfigurationen und Simulationen durchführen können. Wir nutzen eine modernen Tech Stack mit u.a. Angular, Spring Boot und OpenShift (Kubernetes), und arbeiten in einem agilen Arbeitsumfeld. Du übernimmst gerne Verantwortung, hast einen ausgeprägten DevOps Mindset und bist motiviert, in einem agilen Team zu arbeiten? Und Du möchtest die Entwicklung unserer E-Banking Lösung zum wichtigsten digitalen Kundenkanal in unserem hybriden Geschäftsmodell aktiv mitgestalten? Dann haben wir die perfekte Herausforderung für dich im Vontobel DigiHub. Als Senior Full-Stack Engineer wirst Du Teil des agilen, funktionsübergreifenden Teams aus Entwicklern, Business Engineers, UX-Experten, Scrum Master und Product Owner, welches die Vontobel E-Banking Plattform verantwortet. Entwicklung neuer Funktionen über den gesamten Stack unter Verwendung moderner Technologien und Agentic Engineering mittels GitHub Copilot. Verantwortung über den gesamten Softwareentwicklungs- und Betriebsprozess (Anforderungsanalyse, Design, Implementierung, Testing, Rollout und Betrieb). Umsetzung von Automatisierungen in den Build-, Test- und Deployment-Prozessen mit CI/CD-Technologien, um eine hohe Softwarequalität sicherzustellen. Übernehmen von 2nd/3rd-Level-Supportaufgaben für die Systeme, die Du mitentwickelst. Zudem leistet das Team Pikett-Dienste, eine Bereitschaft dafür wird vorausgesetzt. Einbringen von neuen Ideen zur Verbesserung der Lösungen und Prozesse im Team sowie im gesamten DigiHub. Themenverantwortung sowie deren eigenständige und strukturierte Umsetzung in Abstimmung mit verschiedenen Stakeholder. Mit einer Vielzahl interner und externer Stakeholder zusammenarbeiten, um die besten Ergebnisse zu erzielen. Technologies: AI Android Angular Avaloq CI/CD Copilot DevOps GitHub Java Kotlin Kubernetes OpenShift Product Owner SCSS Spring Spring Boot iOS UX UI Design Fullstack More: Arbeitsort  Die Position ist derzeit in Zürich angesiedelt. Im Jahr 2030 wird der Arbeitsort nach Baar verlegt, um die Zusammenarbeit mit den wichtigsten Stakeholdern im Business weiter zu stärken.  Warum Vontobel? Bei Vontobel gestalten Sie eine bessere Zukunft – für unsere Kunden, die Gesellschaft und ihre eigene. Als familiengeführtes, börsennotiertes Unternehmen mit über 2.000 Mitarbeitenden an 28 Standorten weltweit und Hauptsitz in Zürich setzen wir auf langfristiges Denken und Nachhaltigkeit. Unser vielfältiges Team schätzt unterschiedliche Perspektiven, und wir suchen Menschen, die in einer dynamischen und sich wandelnden Welt etwas bewegen wollen. Auch wenn Sie nicht alle Kriterien erfüllen, freuen wir uns über Ihre Bewerbung, wenn Sie sich für die Stelle begeistern. Möchten Sie Vontobel werden? last updated 44 week of 2026

Senior CAE and AI Expert

About the Role Neural Concept accelerates the full engineering simulation cycle. Our AI platform compresses the time from design change to validated result, so engineering teams can explore more, iterate faster, and ship better products. The Vertical Solutions team turns that capability into production-grade, domain-specific solutions for our customers. As a Senior CAE and AI Expert, you will own the simulation workflows, benchmarks, and solution assets that sit at the heart of what we deliver. Your work will land directly inside the engineering processes of leading automotive OEMs and consumer electronics companies — accelerating the entire cycle from geometry change through to crash, safety, and drop test results. What You Will Do Own vertical solution assets end-to-end. Design and develop simulation workflows, validation benchmarks, and solution templates for automotive structural analysis (crash, occupant safety, pedestrian safety) and consumer electronics durability (drop test, vibration). Take assets from concept through to handover to Sales and Customer Success. Accelerate the full simulation pipeline. Map the complete cycle — design change, automated meshing, solver configuration, job execution, and design optimisation — onto Neural Concept's platform. Define accuracy and speed requirements, validate against benchmark data, and deliver repeatable, production-grade workflows using tools such as ABAQUS, LS-Dyna, Radioss, Hypermesh, ANSA, and Simlab. Write Python automation and tooling. Script data preprocessing, solution packaging, and workflow integration. Maintain solution reproducibility standards and contribute to internal tooling libraries. Drive the product roadmap from the field. Partner with Product and Engineering to surface simulation-specific platform requirements, validate new capabilities, and feed real-world use cases directly into development priorities. Who You Are 5–8 years of hands-on FEA simulation experience, in the application of vehicle crash, drop test, pedestrian and/or passenger safety, delivering production-quality models in automotive or consumer electronics environments Deep expertise in leading Mechanical pre-solve-post tools, such as: ABAQUS, LS-Dyna, Radioss, Hypermesh, Simlab, ANSA, Meta, d3plot Strong command of structural non-linear simulation: implicit/explicit solvers, contact formulations, material models, failure criteria Demonstrated experience in automotive safety simulations (crash, occupant safety, pedestrian safety) or product durability testing (drop test, shock, vibration) Experience with end-to-end simulation workflows: CAD preparation → Meshing → Solving → Post-processing → Visualization Scripting and programming: Python (preferred); C++, Java, or C# also valued. Exposure to open-source tools (e.g., OpenFOAM, FEniCSx) and pre/post tools (e.g., Gmsh, ParaView) a plus. Able to own deliverables independently and communicate complex technical concepts clearly to non-specialist audiences Proficiency in both written and spoken English, with the ability to articulate technical complexity with clarity. Nice to Have Familiarity with AI-assisted simulation acceleration, design optimisation, or parametric study automation Comfort with Git and modern dev environments/IDEs; basic CI for validation of templates and scripts Master HPC and Cloud resources. Execute and refine complex simulations within high-performance computing environments, effectively deploying GPU acceleration to maximize workflow performance. What You Get Competitive salary and benefits Training budget — we believe continuous education is essential for you and for us. Work directly with a world-class engineering team that sets high standards and means it. Visible, high-impact work inside a collaborative, multicultural environment where your contributions are recognised. Real influence on how the world’s best engineering organisations use AI to design better products — faster and more sustainably. Ample GPU/CPU resources via HPC and Cloud for your simulation and AI workloads. Hybrid working model — 3 days in the Lausanne office, flexible hours, and we care about output not schedules. We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

Solutions Engineer - German Speaker

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. The Role We’re hiring Solutions Engineers to build Synthesia’s pre-sales function for the DACH region. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling and best practices as we scale, not following an established model. If you’re someone who is excited by building whilst scaling, we’d love to hear from you. As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success and Product Marketing to run discovery, deliver demos, scope POCs and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product. This is an incredible opportunity to join us as we become a multi-product company for the first time, and continue to scale across DACH. What You'll Do Co-plan and support discovery calls with your AE to understand customer requirements, technical environment, and business challenges. Design and execute repeatable demo methodologies that prove Synthesia's business value quickly, whether the customer is deploying Studio at scale, building Roleplay Sessions for skill uplift, or integrating Interactive Avatars into their product. Build and maintain strong working knowledge of Synthesia's platform capabilities, roadmap, and positioning across all product lines, so you can speak to the use cases that drive value Deliver demonstrations that speak to customer problems and tell a credible story of why Synthesia is the right solution. Identify technical objections and integration questions as they come up, working with your AE and the broader ecosystem to find a path forward. Contribute your assessment of technical fit and opportunity risk to help your AE shape account and deal strategy. Keep your deal team and manager informed on deal status, timeline, and technical dependencies. Identify, build relationships with, and actively enable technical champions within customer organizations so they can advocate for Synthesia internally. Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity), and scalability for global deployments, troubleshooting issues and validating integrations with LMS, HCM, and content systems as they surface. Partner with Enablement to complete certifications, stay current on new releases, and keep your demo and objection-handling skills sharp.   We’d love to hear from you if you have 2+ years of pre-sales, solutions engineering, or customer-facing technical experience in a SaaS environment (or equivalent technical customer-facing experience). Delivers a strong standard demo aligned to the discovery points and agenda set with the AE, with a solid grasp of core demo technique (e.g., Tell-Show-Tell). Applies established solution designs and best practices to the customer's use case, working with core ecosystem functions (Product, Customer Success) as the deal requires. Identifies and surfaces deal risk and next steps based on what the customer tells you, escalating clearly to your AE so it gets actioned. Working knowledge of MEDDPICC and Command of the Message, and can articulate why Synthesia is a fit for the prospect. Resourceful: knows how to find the right person or tool internally, and is building their own network across the GTM organization. Comfortable with the technical fundamentals in at least one area (creation flows, APIs, integrations, security, compliance) and eager to build depth quickly. Self-motivated and organized, able to manage a growing book of POCs, demos, and customer conversations while hitting deadlines. Willing to travel for customer discovery and on-site demos as needed. You like staying ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from static methods to interactive practice and measurable skill development. Strong written and spoken communication in English and German   We'd be particularly excited if Like working in a fast pace environment Can also speak Spanish and or Italian Based in Munich or London so you can spend time in our offices. This is a hybrid role, with 2-3 days a week in the office.   Compensation We offer a competitive salary, equity and benefits. Your offer will reflect your experience, skills and the scope of the role.

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

Berufsbildner Plattformentwickler

Requirements: Freude daran, Jugendliche auf ihrem Weg ins Berufsleben zu begleiten und für die Informatik zu begeistern Berufslehre Informatik EFZ oder gleichwertige Ausbildung Fundiertes Know-how in der Plattformentwicklung Erfahrung im Ausbilden von Lernenden, idealerweise mit Berufsbildnerkurs oder pädagogischer Weiterbildung (SVEB, EHB), oder die Bereitschaft, diese zu absolvieren Gewandtheit beim konzeptionellen Erarbeiten von Ausbildungsplänen und ein souveränes Auftreten gegenüber Lernenden, Eltern und Fachteams Responsibilities: Unsere Lernenden auf Augenhöhe ausbilden und begleiten – vom Basislehrjahr über die Schwerpunktausbildung bis zum erfolgreichen Lehrabschluss Unsere Ausbildungslabs rund um Linux/Windows Server, Virtualisierung, Cloud-Infrastrukturen, Container und Automation aufbauen und betreiben Ausbildungskonzepte und betriebliche Bildungspläne gemäss aktueller Bildungsverordnung (BiVo) weiterentwickeln Praxiseinsätze in den Fachteams koordinieren und Praxisbildende bei Projektarbeiten, Bildungsberichten und im Qualifikationsverfahren (IPA) unterstützen Mit Eltern, Berufsfachschulen, überbetrieblichen Kurszentren (ÜK) und Behörden zusammenarbeiten sowie an Schnuppertagen und Informationsanlässen mitwirken und neue Lernende rekrutieren Technologies: Cloud ICT Linux Windows DevOps More: Wir entwickeln keine «Fancy Apps», sondern clevere ICT, die den Menschen nützt. Bei uns passt du dazu, wenn du Kontinuität als Ansporn nimmst, um zu Höchstform aufzulaufen, und dich weder in einem Grosskonzern noch in einem Start-up siehst. Bei einem 100-%-Pensum liegt unser Bruttojahreslohn in der Grössenordnung von 105000 bis 120000 Franken, abhängig von Vorkenntnissen und Erfahrung. Bei mehr Berufserfahrung oder zusätzlichen Kompetenzen kann der Lohn auch etwas darüber liegen; die weitere Lohnentwicklung richtet sich nach Leistung und dem finanziellen Erfolg der Bedag. Dazu bieten wir sehr gute Sozialleistungen und ein attraktives Arbeitsumfeld. Die Stelle ist bei der Bedag Informatik AG in Bern. last updated 44 week of 2026