Tech Lead – Staff Full Stack Engineer

Stelle nicht auf LinkedIn

🕒 vor 7 Tagen

🌐 Portugal, Brasilien – Remote

🇵🇹 Portugal – Remote 🇧🇷 Brasilien – Remote

⏰ Vollzeit

🟠 Senior

🧑‍💻 Full-Stack-Entwickler

👻 Geisterscore 12%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Lebenslauf hochladen

Vigil

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

💼 Beratung

🏥 Gesundheitswesen

📣 Marketing

Consulting • Healthcare • Marketing

Vigil ist ein Beratungsunternehmen im Technologiebereich, das sich auf Softwareentwicklung und Cloud-Transformation spezialisiert hat. Der Fokus liegt auf der Schaffung außergewöhnlicher digitaler Produkte, die Geschäftswert schaffen, und der Verpflichtung zur Innovation. Vigil legt Wert auf Anerkennung, Wertschätzung, Work-Life-Balance sowie Wachstumschancen und sorgt so für Zufriedenheit und Motivation der Teams. Sie laden Kunden ein, in Zusammenarbeit mit ihnen Projekte zum Leben zu erwecken.

Beschreibung

• Build and maintain full-stack applications using React, TypeScript, Node.js and NestJS • Develop AWS serverless services, including Lambda functions written in TypeScript • Design and evolve distributed systems and event-driven workflows using Amazon EventBridge, SNS, and SQS • Build features that integrate with machine learning forecasting models, supporting automated workflows and human interaction • Develop automated tests across unit, integration, and end-to-end layers, including Playwright • Improve CI/CD pipelines to support increasingly automated and reliable delivery • Manage infrastructure as code using Terraform and contribute to delivery workflows through Jenkins • Monitor production services using Grafana for metrics and OpenSearch for logs and alerts • Use AI-assisted development practices to improve engineering efficiency while maintaining code quality • Collaborate with engineers, product stakeholders and colleagues working on forecasting models to deliver features across the platform • Guide architecture and technical decisions, mentor engineers, and own technical delivery while staying actively involved in development

🎯 Anforderungen

• Strong commercial experience delivering full-stack applications using TypeScript, React and Node.js • Experience building backend services using NestJS or a comparable Node.js framework • Strong hands-on experience with AWS serverless architecture, particularly Lambda • A solid understanding of distributed systems and event-driven architectures, including asynchronous messaging, failure handling and service reliability • Experience with Amazon EventBridge, SNS/SQS and DynamoDB, or closely related technologies and patterns • A strong commitment to test automation, with experience across unit, integration and end-to-end testing • Experience with Playwright or a comparable end-to-end testing framework • Familiarity with Terraform, CI/CD pipelines and production observability • Experience applying AI-assisted tools and practices across the software development lifecycle, with appropriate review and validation • An understanding of how applications integrate with machine learning models to deliver useful product features, automation and user interaction • Dedicated MLOps expertise is not required • A proactive, collaborative approach, with the ability to contribute independently and take ownership of complex engineering work • Proven experience providing technical leadership, shaping architecture, supporting other engineers and guiding delivery in a complex distributed environment • Strong verbal and written communication skills in English • Previous experience building forecasting, predictive analytics or other products powered by machine learning • Experience designing interfaces and workflows that allow users to review and interact with model outputs • Hands-on experience with Jenkins, Grafana and OpenSearch • Experience improving delivery pipelines through advanced test automation and AI-assisted engineering • Previous experience contributing to an end-to-end platform spanning frontend applications, backend services and model integration

🏖️ Vorteile

• Be part of a collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture • A culture in which we don’t criticise failure but ensure we learn from our mistakes • An Agile environment where your ideas are welcome • The possibility to grow and experience different projects • Ongoing Training & Mentoring • The possibility of travelling