3 jobs found

The Web3 Foundation nurtures and stewards technologies and applications for the decentralized web. We collaborate with cutting-edge developer teams, researchers and community leaders to strengthen and extend the uses of decentralized technologies; building the future of identity, privacy, financial markets, commerce, and more. Our core project at the moment is Polkadot, a protocol designed to connect blockchains and allow them to interoperate, share security and more. In addition, we are supporting the development of a number of technologies that form the Web 3.0 tech stack - such as decentralized messaging, distributed storage or secret management. To encourage the adoption of our technologies and make those protocol accessible to other developers to re-implement and incorporate in their applications, as well as to increase transparency and auditability of the designed technologies and protocols, it is essential to maintain up-to-date specification of our technology stack. Do you feel passionate about supporting high-performance, multinational teams? Do you thrive in a fast-paced startup environment with new problems to solve every day? Do you want to be part of a young and growing technology organization with a strong vision? Then come join the Web3 Foundation team in Zug as a Site Reliability Engineer Do you like automation? Do you know Linux like the back of your hand? Do you want to work on creating the Web 3.0 infrastructure? Are you excited about joining a startup? We are looking for a team member whose mastery of Linux, Github, Docker and Kubernetes is second to none. This position is based in Zug, Switzerland or Berlin, Germany, but for exceptional candidates, we may consider remote work in Europe. Responsibilities Participate in on-call rotation, failure resolution, post-mortem analysis and prevention through automation. Assist teams on making the platform components production-ready and provide support on IT-related issues. Take ownership of the different infrastructure-as-code components that build up our platform, adapting them to the evolution of the given requirements. Define automated tools to help the products be timely adapted to end-user requirements, including CI/CD pipelines. Continuously improve the observability of the system and the feedback loops for getting information about potential problems before they happen. Design automated disaster-recovery mechanisms. Qualifications Experience designing and maintaining scalable, resilient, performant and observable systems. On-call experience: participation in ops-duty rotations, incident response and post-mortem analysis and prevention. A systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. Solid background in software development. Experience or willingness to learn about cloud-native technologies: kubernetes as platform, Helm as package manager, prometheus and related technologies as the monitoring stack and different providers such as Google Cloud Platform, DigitalOcean and Azure A plus Continuous Delivery experience. Interest and background in decentralized technologies, especially blockchain. Prometheus, alertmanager and grafana: create service monitors, write alert rules, create dashboards and panels. Experience using Terraform with a test-driven infrastructure approach Benefits Competitive compensation and employee benefits Regular company retreats at unique locations located around Europe Opportunity to work in a multinational, high-performance team with diverse backgrounds (i.e. physics, computer science, machine-learning algorithm design, legal, financial products, management consulting, marketing & advertising, etc.) To apply to this position, we ask you to answer a few questions in the application form, and to submit your CV and a cover letter, telling us a bit about yourself and your motivation to join us. For more information about us, visit us on: Web3 Foundation website: https://web3.foundation/ Polkadot website: https://polkadot.network/ Github: https://github.com/w3f/polkadot-overview We look forward to receiving your application!

Gehörst Du zu den Besten auf Deinem Gebiet? Sind für Dich Leistungsorientierung und Selbstverantwortung wichtige Werte? Hast Du schon mit dem Gedanken gespielt, Dich selbständig zu machen oder unternehmerisch zu betätigen? Dann haben wir mit unserem «Employeneurship» das richtige Modell für Dich. Kombiniere die Sicherheit einer Festanstellung mit den Vorteilen der Selbständigkeit. Unser Modell basiert auf folgenden Säulen: Langfristige Zusammenarbeit in technologisch interessanten Projekten, in denen sich unsere Kunden vom Wettbewerb differenzieren Deine Aufgaben Wir unterstützen unsere Kunden bei der Digitalisierung und Transformation ihrer Applikationslandschaft zu analytisch optimierten Geschäftsprozessen, was spannende und abwechslungsreiche Mandate zur Folge hat. Projekte starten häufig mit einer Beratung und der Erstellung von Prototypen und beinhalten meist Neubau oder Re-Engineering von Front- und Core-Systemen. Die grosse Vielfalt der Fragestellungen und Herausforderungen unserer Kunden, aber auch die Anwendung von bestehenden und neuen Technologien mit agilen Methoden, sind eine grosse Herausforderung. Unser Ziel ist es, die Projekte erfolgreich für unsere Kunden umzusetzen und damit deren Wettbewerbsfähigkeit zu stärken. Anforderungen Mindestens 5–8 Jahre Berufserfahrung in der Architektur, Design und Implementierung von Enterprise Lösungen auf Basis von JEE (Expertenlevel, vorzugsweise in der IT-Beratung) JEE Fullstack - nachgewiesene hands-on Erfahrung im Bereich von Business kritischen Applikationen Erfahrung mit einer modernen Frontend-Technologie - idealerweise Angular, React oder ähnliches Ausgewiesene Erfahrung mit professionellen Software Engineering Methoden wie Domain Driven Design, Clean Code, CI/CD und TDD Erfahrung mit Cloud Deployments (Docker / Kubernetes / Openshift) auf Basis AWS oder Azure Nice to have: Spark, Kafka, Machine Learning Ausgewiesene Kommunikations-Fähigkeit über alle Hierarchien hinweg Flexibilität bezüglich Technologie-Stack und Einsatzgebiet Ausgewiesene Teamfähigkeit durch Arbeit in interdisziplinären Teams Konzeptionelle und analytische Stärke für Beratung Ist in der Lage Kunden zu Coachen und Wissen ins Team weiter zu geben Wir bieten diese Benefits NEUGIERDE, UNTERNEHMERTUM und INDIVIDUALITÄT werden bei uns grossgeschrieben Unternehmensmodell ohne Hierarchien, organisiert in agilen Kompetenz-Zellen als Netzwerken von Experten Sehr attraktives unternehmerisches Gehaltsmodell auf Basis des «Employeneurship»-Modells Karriereentwicklung gemäss persönlicher Interessen auf Basis von Selbst-Verantwortung Sehr flexible Arbeitszeitmodelle: Vereinbarkeit von Beruf, Familie und Privatleben ist uns sehr wichtig Erfolge gemeinsam feiern! Sehr attraktives Gehalt mit individuellem Profit-Sharing Kontakt Für ergänzende Fragen stehe ich Dir gerne zur Verfügung Enes Üzmez Head of Recruiting Tel:  +41 43 540 57 23 Mobil:  +41 76 559 53 54 Mail:  enes.uezmez (at) callista.group https://callista.group/de

Tensor Technologies is looking for an enthusiastic and passionate Machine Learning Engineer with 5+ years of commercial experience leveraging large datasets. Tensor Technologies’ research and trading are driven by big data, and the resulting algorithms are run on high-performance hardware using software that is developed in-house. The ideal candidate for this role has a verifiable track record in developing Machine Learning solutions that have delivered significant business impact. This presents a very good opportunity for an individual in the middle stages of their career in or out of finance to participate in very important projects in a fast-paced environment. Your main responsibilities: Develop and improve Machine Learning pipelines with the goal to optimize the trading strategies Develop software and tools around the Machine Learning pipelines to make the trading strategy generation as efficient as possible Research and prototype state-of-the-art Machine Learning models with the focus on optimizing profitability of the trading strategies Assess quality controls around different approaches as well as suggesting new approaches in research Design processing pipelines for terabytes of price data Requirements: 5+ years of commercial development of Machine Learning frameworks and large-data processing systems in the technology or finance industry Ph.D. degree or a Master’s degree with relevant experience in Computer Science, Mathematics, Physics or a related field Excellent programming skills in Python and Scala In-depth experience with Spark (more than black-box usage) Excellent skills in quantitative analysis, programming, and statistical modeling Track record of gathering, matching, and processing large data sets from varied sources and of different characteristics Experience in financial markets or exposure to trading is an advantage What we offer: We apply the newest technologies and strategies in order to gain advantage over our competitors. We rely on quick feedback loops and we release early and often to profit from incremental benefits as they are developed You will be able to challenge your coding and research skills and grow constantly while collaborating with like-minded experts in a dynamic environment that encourages continuous learning. Attractive office locations in the center of Switzerland in Zug and Zurich. The opportunity to join a team that has achieved considerable success in a relatively short amount of time and is now growing the business. A compensation and bonus scheme that’s unprecedented in the industry. Please apply via our careers site. We look forward to getting to know you!