Buscamos Delineantes Proyectistas (A Coruña) - Empresa Confidencial - A Coruña

Experteer Overview As Engineering Manager at Factorial, you combine hands-on leadership with deep technical engagement to ship AI-driven workflows that transform how customers run their business. You mentor engineers, drive cross-team collaboration, and help design scalable AI-enabled architecture. You’ll lead by example, fostering experimentation and responsible AI delivery, while aligning technical decisions with business outcomes. This role offers meaningful impact in a fast-growing, AI-centric environment. Compensaciones / Beneficios • Lead and grow engineering teams, including hiring and performance development • Draft roadmaps with business context and align with cross-functional stakeholders • Review RFCs, provide feedback, and ensure effective delivery • Coordinate initiatives across teams and contribute to shared platform foundations • Lead the shift to AI-native product development and set the example for safe, auditable AI workflows • Conduct regular 1:1s to support team development and well-being • Collaborate with other engineering managers on cross-team programs • Contribute to architecture discussions for scalable APIs and integrations Responsabilidades • 5+ years as a full-stack engineer or similar role • 3+ years leading engineering teams • Strong API design experience (REST, GraphQL) and building integrations • Understanding of scalability, performance, and quality in production • Experience contributing to AI-powered features or workflows to production • Ability to navigate business context and connect technical decisions to outcomes Requisitos principales • ESOP plan • Private health insurance (Alan) • WellHub with gym/pools/fitness • Cobee for expenses • Language classes • Office breakfasts and organic fruit

Experteer Overview As a Staff Engineer in our Infrastructure team, you will own the reliability and scalability of Factorial’s 24/7 platform. You’ll collaborate with cross-functional partners to guide best practices, drive impactful initiatives, and mentor junior engineers. You will tackle complex, product-centric problems that affect engineers and customers, shaping how the platform evolves. This role offers the chance to influence architecture and incident response at scale, in a company that values rapid learning and collaboration. Compensaciones / Beneficios • Lead technical discussions and guide junior engineers on standards and practices • Collaborate with cross-functional teams to ensure feature delivery • Identify and troubleshoot defects and implement effective solutions • Own major initiatives with a product-centric mindset and quarterly roadmaps • Review code and provide constructive feedback • Share knowledge through RFCs, mentoring, and engineering-wide events Responsabilidades • 8+ years of Software/Systems Engineering experience • 5+ years as Cloud SRE • Hands-on with IaC (Terraform or Ansible) • Observability experience (Datadog, Grafana, or OpenTelemetry) • Proficiency with AWS or Azure • Ability to debug Kubernetes clusters • Experience managing large MySQL clusters with HA • Strong problem decomposition and mentoring mindset • Professional English communication Requisitos principales • High growth, multicultural and friendly environment • Competitive ESOP plan • Alan private health insurance • Wellhub gym and outdoor activities • Cobee expense savings • Language classes

Se busca delineante, arquitecto técnico o arquitecto para incorporarse a una oficina técnica. Las tareas principales incluyen delineación de proyectos, diseño de arquitectura e interiores, así como mediciones de obra. Es necesario contar con titulación de grado superior, diplomatura o licenciatura en la materia, y un nivel superior de gallego o castellano. Se requiere un nivel experto en herramientas como CAD, CYPE y BIM. Además, se valoran cualidades como el don de gentes, la capacidad de aprendizaje y el trabajo en equipo. El puesto se ofrece mediante contrato indefinido a jornada completa, con horario de 8:00 a 16:00 horas. La persona seleccionada desarrollará su actividad en un entorno técnico y dinámico, participando en distintas fases de los proyectos y colaborando estrechamente con el resto del equipo. Es imprescindible cumplir con los requisitos mínimos establecidos para poder formar parte del proceso de selección.

Deine Aufgabe Diese Rolle konzentriert sich auf den Aufbau wiederverwendbarer KI-gestützter Workflows für Repository-Analyse, Code-Scanning, Service-Dekomposition, Dependency-Discovery, Build-Diagnose und Dokumentationsgenerierung. Du verpackst Prompts, Tools, Retrieval-Layer, Model-Routing, Evaluierungsprüfungen, Wiederholungsversuche und menschliche Freigabeschritte in wiederholbare Engineering-Beschleuniger. Deine Aufgabe Diese Rolle konzentriert sich auf den Aufbau wiederverwendbarer KI-gestützter Workflows für Repository-Analyse, Code-Scanning, Service-Dekomposition, Dependency-Discovery, Build-Diagnose und Dokumentationsgenerierung. Du verpackst Prompts, Tools, Retrieval-Layer, Model-Routing, Evaluierungsprüfungen, Wiederholungsversuche und menschliche Freigabeschritte in wiederholbare Engineering-Beschleuniger. Hauptaufgaben Aufbau wiederverwendbarer KI-gestützter Workflows für Repository-Analyse, Code-Scanning, Service-Dekomposition, Dependency-Discovery, Build-Diagnose und Dokumentationsgenerierung Verpackung von Prompts, Tools, Retrieval-Layern, Model-Routing, Evaluierungsprüfungen, Wiederholungsversuchen und menschlichen Freigabeschritten in wiederholbare Engineering-Beschleuniger Integration von KI-Workflows mit Git-Plattformen, CI/CD-Systemen, Dokumentationsspeichern, Issue-Trackern, Test-Outputs, Service-Katalogen und Architektur-Evidenz-Repositories Erstellung von Workflow-Outputs, die nachvollziehbar bleiben, einschließlich nachverfolgbarer Quellenreferenzen, Konfidenzindikatoren, Reviewer-Checkpoints und expliziter Annahmen Experimentieren mit Open-Source-, Open-Weight- und chinesischen Coding-Modellen in genehmigten Umgebungen, um die Nützlichkeit für SDLC-Automatisierung und Übergabeaufgaben zu vergleichen Unterstützung von Arbeitspaket-Leads durch Übersetzung mehrdeutiger Engineering-Fragen in strukturierte KI-gestützte Workflows und validierte Ergebnisse Dein Profil Wir suchen einen erfahrenen AI Workflow Engineer mit umfangreicher Engineering-Erfahrung in den Bereichen Softwareentwicklung, Dev Ops-Automatisierung und AI-Workflow-Implementierung. Der ideale Kandidat sollte über ausgeprägte Python-Kenntnisse, praktische Erfahrung mit Agentic-Workflow-Frameworks und ein tiefes Verständnis von CI/CD-Systemen und Cloud-Umgebungen verfügen. Muss-Kriterien Mindestens 5 Jahre Engineering-Erfahrung in den Bereichen Softwareentwicklung, Dev Ops-Automatisierung, Platform Engineering oder AI-Workflow-Implementierung Ausgeprägte praktische Python-Kenntnisse Erfahrung mit API-Integration Praktische Kenntnisse von Orchestrierungs-Frameworks Praktische Kenntnisse von RAG-Patterns Praktische Kenntnisse von Tool Calling Praktische Kenntnisse von Evaluation Loops Erfahrung in der Umwandlung von Prototypen in wiederverwendbare Engineering-Workflows mit klaren Schnittstellen, Logging, Error Handling, Konfiguration und Wartbarkeitsdisziplin Gutes Verständnis von CI/CD Gutes Verständnis von Git-Workflows Gutes Verständnis von Containern Gutes Verständnis von Kubernetes Gutes Verständnis von Software-Architektur-Dokumentation Gutes Verständnis von modularen Cloud-Software-Umgebungen Ausgeprägte schriftliche Kommunikationsfähigkeiten zur Erstellung von Workflow-Dokumentation, Evidence Packs, Nutzungsanleitungen und Entscheidungsunterstützung für Senior Stakeholder Du fühlst dich wohl in mehrdeutigen, vertraulichkeitssensiblen Umgebungen, in denen AI-Outputs überprüft, begründet und in zuverlässige Engineering-Nachweise umgewandelt werden müssen Erfahrung mit Agentic-Workflow-Frameworks wie Lang Graph, Auto Gen, Crew AI, Open AI Agents SDK, Llama Index Workflows, Semantic Kernel oder vergleichbaren Orchestrierungs-Stacks Erfahrung mit AI-Entwicklungsplattformen und Editor-Integrationen wie Cursor, Windsurf, Claude Code, Continue, Cline, Aider oder VS Code-kompatiblen internen Assistenten Kenntnisse von Modellfamilien, die für SDLC-Automatisierung relevant sind, wie Deep Seek Coder, Qwen/Qwen-Coder, Code Gee X, Star Coder, Code Llama, Mistral oder unternehmensgehostete Frontier-Modelle Erfahrung mit unterstützenden Komponenten wie Vektordatenbanken, Graph Stores, Code Indexing, Open API Wrappers, Git Lab/Git Hub APIs, Jenkins APIs, Observability und Evaluation Dashboards Über uns T-Systems ist Teil der Deutsche Telekom Gruppe mit rund 30.000 Mitarbeitern weltweit. Wir schaffen Technologie mit Sinn, um eine positive Wirkung auf die Gesellschaft zu erzielen. Wir suchen neugierige Talente, die lernbegierig sind, Herausforderungen annehmen und Ideen einbringen, die die Erfahrung unserer Kunden transformieren. Wir vertrauen Menschen: Wir bieten Autonomie, kontinuierliche Unterstützung und ein kollaboratives Umfeld, in dem du ohne Grenzen wachsen kannst. Wir sind ein globales Team, geleitet von Respekt, Integrität und der Leidenschaft, jeden Tag besser zu werden. Arbeitsumfeld & Flexibilität Internationales, dynamisches und kollaboratives Umfeld T-Social: soziale Initiativen (Sport, Community, Gesundheit,...) Hybrides Arbeitsmodell (remote/vor Ort) Flexible Arbeitszeiten Wachstum & Entwicklung Maßgeschneiderte Schulungen: Zugang zu Coursera, um zu lernen, was du willst, wann du willst Wöchentliche Sprachkurse (Englisch & Deutsch) Internationale Mentoring-Sessions & Experience Days Vergütung & Benefits Flexibler Vergütungsplan (Krankenversicherung, Essensgutscheine, Kinderbetreuung, Transport) Telemedizin Lebens- und Unfallversicherung Sozialfonds Wohlbefinden & Freizeit 26+ Arbeitstage Urlaub pro Jahr Kostenloser Zugang zu Fachdiensten (medizinisch, rechtlich, Wellness) 100% Gehaltsfortzahlung während Krankheitsurlaub #J-18808-Ljbffr

Factorial is seeking a Design System Architect to own and evolve our company-wide design system, turning it into a scalable product infrastructure that accelerates quality and consistency across teams. You’ll shape rails for AI-powered design, enabling seamless Figma-to-code workflows and tooling that plug into modern AI development practices. You’ll lead architecture, tooling, and documentation, collaborate with design, frontend, and product, and mentor peers while maintaining accessibility and #J-18808-Ljbffr

Experteer Overview As a member of Factorial’s API u0026amp; Integrations team, you’ll own the public API and integrations framework end-to-end, shaping a consistent experience across products. You’ll collaborate with Product and Design to meet real user needs and connect multiple domains like ATS, payroll, and ERPs. You’ll help define AI-enabled pathways as the YepCode integration expands, impacting thousands of customers. You’ll mentor peers and contribute to engineering best practices in a fast-growing environment. Compensaciones / Beneficios • Own systems end-to-end from problem definition to monitoring in production • Collaborate with Product and Design to align API and integrations with user needs • Ensure consistent user and integration experience across verticals tied to the design system • Engage with customers through calls and feedback sessions to build real solutions • Mentor peers and contribute to engineering best practices • Help define AI roadmap elements (AI Skills, evaluation frameworks, RAG, agentic workflows) as YepCode evolves Responsabilidades • Development maturity with production-grade code and ownership of a system • Proven impact through shipped projects or notable contributions • Product-first mindset to design complete experiences, not just components • Fast learning, adaptability, and ability to iterate quickly • Experience thinking in reusable, generic frameworks and components for multiple contexts Requisitos principales • ESOP plan • private health insurance • Wellhub for fitness benefits • Cobee to manage expenses • language classes • breakfast in the office

Hello! At Factorial, we're looking for an Engineering Manager who wants to get their hands dirty - someone who leads teams but stays close to the work, understands the domain deeply, and cares about shipping things that actually matter. We're at an interesting moment. AI isn't a feature we're adding to our product - it's changing how the product works. That means rethinking how we design and build software from the ground up, moving from deterministic systems to AI-powered workflows that help real businesses run better every day. It's genuinely hard, and it's genuinely exciting. If you're someone who gets energy from working closely with the business, growing engineers around you, and using AI not as a buzzword but as a real tool to build better products faster - we'd love to meet you. Ready to be part of the challenge? About the team Our Engineering team is the engine behind Factorial, crafting the tech that makes HR simple, fast, and reliable for thousands of companies. If you love solving hard problems and want to build something that truly matters, come build it with us. We're a team of 200+ Product Engineers building Business Management solution that actually works for the people using it. Our core stack is Ruby on Rails and React but the interesting work right now is what we're building on top of that: agentic workflows, LLM-integrated features, systems that behave probabilistically rather than deterministically. We believe that strong fundamentals, adaptability, and the ability to leverage modern tools, including AI are what truly matter. What are we looking for? You bring both leadership experience and a modern, AI-native engineering mindset. - You've managed people before and helped engineers grow, ideally beyond your own level. - You've been part of hiring processes and have a track record of bringing strong people into your teams. - You're comfortable working across teams and contributing to shared platform and service foundations. - You engage in honest, Socratic discussions focused on finding the best solution, not winning the argument. Experience and Technical Depth - 5+ years as a Full-stack engineer or similar role. - 3+ years leading engineering teams. - Strong experience designing APIs (REST, GraphQL, etc.) and building integrations. - You understand scalability, performance, and quality as real constraints and have dealt with them in production. Business Mindset Being a great Engineering Manager at Factorial means caring about more than the code. You understand the business context behind what you're building and can connect technical decisions to real outcomes for customers and the company. - You're curious about how the business works and use that understanding to make better technical calls. - You push your team to understand the problem deeply before jumping to solutions. - You think in terms of customer value, not just technical deliverables. - You're comfortable talking to stakeholders, asking hard questions, and challenging assumptions when something doesn't add up. - You know when to ship something imperfect and when to slow down and get it right. AI-Native Engineering and Product Mindset We expect Engineering Managers to lead teams building AI-powered products, not just use AI tools on the side. - You treat AI as a core part of modern software engineering, not something you bolt on at the end. - You've built or contributed to AI-powered features or workflows that made it to production. - You know what good AI development looks like in practice: defining behaviour and success criteria before you build, measuring output quality, grounding systems in real data, designing workflows that can take safe and auditable actions, and knowing when to keep humans in the loop. - You use AI-assisted tools to move faster in your day-to-day, whether that's coding, testing, debugging, or documentation. - You can help your team review, validate, and safely ship AI-generated code and behaviours. - You understand the real limitations of LLM-based systems: hallucinations, evaluation challenges, data sensitivity. - You create space for experimentation and fast learning loops within your team. - You spot opportunities where AI can genuinely simplify something complex and create real value for users. What You’ll Be Doing? - You'll start with a buddy who guides you through some non-critical tasks to get comfortable with the codebase. - You'll learn the business, the full customer journey, and work with the team to draft a roadmap. - You'll join weekly team meetings to discuss priorities and bring new ideas to the table. - You'll review the RFCs your team produces, give feedback, and push for the best way to get things done. - You'll hire as the team grows, making sure we bring in people who are both talented and good-hearted. - You'll constantly look for ways to improve how the team works. - You'll run weekly 1:1s focused on the development and well-being of each person on your team. - You'll work with other engineering managers to coordinate initiatives that cut across teams. - You'll help lead the shift to AI-native product development, not by mandating tools, but by setting the example, asking the right questions, and creating the space for your team to experiment and learn. - You'll convince or get convinced. You'll hear that a lot. How We Work (Barcelona, Madrid or A Coru ñ a Office) At Factorial, we believe the best products are built when people come together, in person to collaborate, challenge ideas, and move fast. That’s why our Engineering Teams follows an office-first, flexible schedule. We work on-site several days a week, using that time to connect, align, and innovate as a team. However, we also understand the importance of focus and flexibility, so we support remote work when it makes sense - whether for deep work, personal needs, or just a change of scenery. This balance helps us stay agile, creative, and closely connected, while giving everyone the space to do their best work. At Factorial we don't evaluate you by years of experience but by your knowledge and skills. We use our Career Path with a rubric framework where we define what is expected for each experience level and skill. This framework allows you to know your current level and what you need to keep growing. We love transparency, so our Career Path includes the salaries for each level, which we share during the first interview to ensure alignment. Our Hiring Process 1. Intro Call → Chat with our Talent Partner about your journey and goals. 2. Hiring Manager Interview → Deep dive into your product mindset, teamwork, and problem-solving. 3. Live Challenge → A collaborative technical exercise based on real-life problems. 4. Final Coffee Chat → A relaxed conversation with our CTO & VP of Engineering to explore our vision, culture, and your growth. And that’s it! Feel free to request any other conversations you want, with team members or to address specific concerns at any time in the process. The whole process is remote, using videoconferencing tools! About Factorial Factorial is the AI for Business that knows companies, connects how work happens across the business, and turns that context into action. Founded in Barcelona in 2016, we now have +1,700 employees serving more than 16,000 companies across 112 countries. Factorial started with a simple idea: companies were spending too much time managing processes and not enough time doing the work they were hired to do: their best work. But as companies grow, work gets more disconnected. More people, more tools, more information, and more time spent connecting the dots. Generic AI can answer questions, but it doesn’t know your company. Every time, you have to give it the context. Factorial is different. Because it’s inside the company, it already knows how it works, including its people, processes, policies, and data. So you can ask it to do real work, from screening candidates and managing expenses to answering questions and creating reports. AI isn’t the goal. Giving people back their time is. When work changes, so do we. We believe in diverse talent: we welcome applicants from all backgrounds and strongly encourage people of diverse experiences and identities to apply. We believe in inclusion: we are committed to equal opportunities and actively promote workplace inclusion of people with disabilities. If you would like to learn more about our inclusive recruitment processes, you are welcome to indicate so optionally and we will share additional information with you. Our Values We own it: We take responsibilit...

Participarás en cálculos, proyectos, automatizaciones y documentación técnica, construyendo una base sólida como ingeniero/a. Tu trabajo tendrá impacto directo en la calidad técnica de los proyectos y en el correcto funcionamiento de las instalaciones, mientras desarrollas las competencias cl