Ofertas de empleo para Python

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. Node.js Python Cloud Coumputing Kubernetes AWS DevOps Terraform

Senior Site Reliability Engineer – build beyond the ticket

Ready to take the technical lead without leaving the code behind?

At Stibo DX, you will shape technical direction, own production and build automation that removes toil, not just clear tickets. You will stay hands-on while taking the lead on technical initiatives, without moving into people management.

You will also get:

• Flexible hybrid working with a local presence in Málaga.
• AI as a daily force multiplier for coding, documentation and workflows.
• A competitive package and global collaboration, where we care about the engineering – and the people behind it.

We power creativity and collaboration through technology

Stibo DX is one of the market leaders in content management and digital asset management solutions for media. We work with businesses around the globe – from the world's biggest newspaper companies to national broadcasters. We make life easier for everyone who has a story to tell.

Work as one team across locations

You will join our SRE & Operations department, working from Málaga as part of our SRE / Cue Cloud Operations team. Together, we build and run the cloud infrastructure behind Cue for major media brands worldwide. We are about 10 people, including the Director of Operations, working across Europe and North America.

We have clear areas of ownership – from platform engineering and incident management to security, compliance, FinOps and customer-facing operational delivery – but we work together day to day.

We share what we know through our wiki, Confluence and runbooks. And when an incident happens, we look for what the system needs, not someone to blame. The point is to learn and make things better.

Real engineering. Not ticket farming

You will own both the day-to-day and longer-term reliability of Cue Cloud, working with SRE colleagues, product engineering and customer-facing teams.

A large and growing share of the work is software. Internal tools, automation and services are not side projects here – they are how we remove toil and help the team and wider organization scale.

You will:

• Run and improve AWS environments across EC2, S3, RDS and Kubernetes/EKS, building capacity and resilience, responding to incidents and continuously hardening production.
• Turn infrastructure and configuration into code with Terraform, Python, YAML and GitOps/CI-CD, improving standard cloud and container patterns and adapting them to customer workloads.
• Build and maintain tools, automation and services that cut repetitive work and make people more productive.
• Improve monitoring, alerting and troubleshooting across metrics, logs and traces, using SLOs, SLIs, Grafana, Prometheus, Thanos and Dynatrace to spot problems earlier and resolve them faster.
• Lead or co-lead initiatives from goal to delivery: work out what matters, sequence the work, bring stakeholders together, mentor colleagues and turn operational lessons into lasting platform and process improvements.

You bring experience – and share what you know

You have owned production in SRE, platform engineering, DevOps or a similar role. We care more about the depth of that experience than the title on your CV.

You spot problems early and follow them through to a lasting fix. You can explain a trade-off to an engineer or a non-engineering colleague, and you keep your head when production needs attention.

You are curious about new tools, pragmatic about what works and thoughtful about how you use AI. You help colleagues move forward through shared standards and mentoring – not by making every decision go through you.

We also imagine that you bring:

• Formal or informal leadership experience – as a tech lead, project owner, mentor or someone who brings people and stakeholders together to deliver.
• The ability to write software for automation and internal tooling; Python or Node.js is preferred, but other languages are welcome if you ship reliably.
• Hands-on cloud and container experience, ideally with AWS and Kubernetes; EKS experience is a plus.
• Confidence with Everything as Code, including Terraform, YAML and Git-based/GitOps workflows.
• Grounding in observability and production debugging; experience with equivalent tools is welcome.
• Fluency in spoken and written English and comfortable working internationally.

Interested?

Please apply here on LinkedIn. You are encouraged to apply at your earliest convenience. Short-listed candidates will be invited for an interview. Applications are processed as they are received until the right candidate is found.

Should you have questions about the position, you are also welcome to contact Morten Reinholdt Boelskifte, on +45 24 49 35 83.

We look forward to hearing from you.

Help us empower storytellers across the globe

Stibo DX is the global leader in digital transformation for media enterprises. Our platform and services help automate complex content production and enable omnichannel delivery for some of the world’s most ambitious and successful media organizations.

We are a global and dynamic team of over 200 employees based in Aarhus, Copenhagen, Atlanta, Hamburg, Oslo, and Málaga, combining creativity and innovation with the stability of a long-standing organization.

Stibo DX is part of the Stibo Software Group, the second-largest Danish-owned software group. Our roots trace back to the Stibo Foundation, which has a 228-year history and a rich legacy that supports our continued growth.

Among our customers are The New York Times, Hearst, Gannett, The Economist, A-Media, JP/ Politikens Hus, Mediahuis, The Hindu, and many others.

If you want to be a part of a team where individuals are valued and trust is a driver, we encourage you to apply today.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Teletrabajo . Python Azure REST SOAP

Desde Profile nos encontramos en búsqueda de un/a Consultor/a especializado/a en Microsoft Fabric para integrarse en un proyecto dentro del sector financiero.

Con ilusión es como se cambian las cosas, y queremos contribuir a un futuro mejor gracias a la tecnología. Para conseguirlo no necesitamos héroes ni súper talentos, sino personas implicadas, motivadas, con muchas ganas de trabajar en equipo y de crecer dentro de este proyecto común que formamos todos/as.

📍 Ubicación: Madrid (Zurbano 8).

🏠 Modalidad de trabajo:

• Primeras 6 semanas: 100% presencial.
• Posteriormente: 1 día a la semana en oficina y resto teletrabajo.

🔎 ¿Qué buscamos?

Un perfil con al menos 3 años de experiencia en ingeniería, integración y transformación de datos, con conocimientos sólidos en:

• Microsoft Fabric.
• Python y PySpark.
• Desarrollo de notebooks en Fabric.
• Procesos ETL / ELT.
• Integración de datos mediante APIs REST y servicios SOAP.
• Diseño y mantenimiento de pipelines de datos.
• Automatización y monitorización de procesos de integración.

⭐ ¿Qué valoraremos especialmente?

• Conocimientos de arquitectura de datos.
• Experiencia en integraciones entre aplicaciones corporativas.
• Experiencia con Azure Data Factory, Azure Synapse o entornos similares.
• Participación en proyectos de analítica y explotación de datos.

Te damos buenas razones para unirte a nuestro equipo 🤼

• Garantizamos el equilibrio trabajo/vida. Disponemos de flexibilidad horaria y mejoramos tus vacaciones por cada año que pases con nosotros/as.
• Disponemos de retribución flexible: cheques gourmet, seguro médico privado, tarjeta transporte, cheques guardería, formación, etc.
• Te daremos la mejor acogida con un proceso de onboarding en el que te sentirás como en casa desde el minuto uno y también recibirás tu welcome pack.
• Reconocemos la aportación, implicación y compromiso de todos aquellos que ayudamos a crear un entorno de trabajo más agradable y profesional a través de nuestra plataforma de gamificación.
• Fomentamos un ambiente de trabajo en el que todos/as seamos felices. Nuestro equipo multidisciplinar de People & Culture trabaja día a día para aumentar el bienestar y la motivación de todas las personas que componemos Profile.
• Trabajamos para que todos/as tengamos las mismas oportunidades, combatir discriminaciones y fomentar la conciliación de la vida personal, familiar y laboral.
• Todas nuestras vacantes están abiertas a personas con certificado de discapacidad. Fomentamos un entorno inclusivo y libre de discriminación.

¡Conócenos!💛

Si tienes ganas de crecer y trabajar en un buen ambiente de trabajo, de manera cómoda y productiva, y ¿por qué no?, divertida. Te ofrecemos un gran número de ventajas para facilitarte esta decisión. Contáctanos y ¡te lo contamos!

Conócenos más sobre Profile en nuestra web www.profile.es

Puedes consultar aquí nuestra política de Privacidad y Gestión de Datos: https://profile.es/politicadeprivacidad/

📩 ¿Te interesa el proyecto o conoces a alguien que pueda encajar? ¡Envíame tu CV por mensaje privado!

#MicrosoftFabric #DataEngineer #DataIntegration #PySpark #Python #Azure #ETL #DataEngineering #Madrid #ITJobs

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

Python Aprendizaje automático Ciencia de datos AutoCAD Minería de datos Aprendizaje Inteligencia artificial Reconocimiento de patrones Ciencias de la computación Máquinas herramienta Azure C++ Docker Cloud Coumputing AWS Machine Learning

INGENIERO DE MACHINE LEARNING Y VISIÓN COMPUTACIONAL

¡ÚNETE A NUESTRO EQUIPO!

En Elite Sports 17, S.L., empresa valenciana respaldada por un potente holding australiano, desarrollamos e invertimos en proyectos relacionados con el deporte, la automoción, la tecnología y el entretenimiento.

Actualmente buscamos un Ingeniero de Machine Learning y Visión Computacional para incorporarse a nuestro equipo de desarrollo e investigación aplicada.

La persona seleccionada participará en el desarrollo de un proyecto tecnológico internacional basado en el análisis inteligente de imagen y vídeo. Buscamos un perfil capaz de trabajar con detección, seguimiento e identificación de múltiples personas y objetos en entornos dinámicos.

Visítanos en www.elitesports17.com

¿QUÉ OFRECEMOS?

• Puesto 100 % PRESENCIAL en nuestra nueva nave industrial propia en Picanya, Valencia.

• Horario de lunes a viernes, de 9:00 a 18:00, con una hora de descanso para comer.

• Jornada intensiva en agosto.

• Flexibilidad en horarios de descanso y comidas.

• Instalaciones de más de 2.000 m² con oficinas modernas, cocina equipada, duchas individuales, sala de descanso con chaise longue, televisión, sala de juegos, mesa de ping-pong y terraza chill-out con barbacoa.

• Contrato indefinido desde el primer día.

• Salario acorde con la experiencia y el nivel técnico demostrado.

• Ambiente de trabajo joven, técnico y multidisciplinar.

• Participación directa en el desarrollo y lanzamiento de un producto tecnológico propio.

• Proyectos internacionales con presencia en Australia, Canadá, Estados Unidos, EAU, Sudáfrica y otros mercados.

• Formación continua, desarrollo profesional y posibilidad de viajar a nuestras oficinas en el extranjero.

• Seguro individual de accidentes para cada empleado.

• Bonificaciones por rendimiento individual y de equipo.

IMPORTANTE

• No se contempla trabajo remoto ni híbrido.

• Buscamos perfiles técnicos con experiencia práctica y capacidad para aportar valor desde el primer día.

• No buscamos un perfil centrado exclusivamente en IA generativa, prompting, RAG o modelos de lenguaje.

• Se valorarán proyectos profesionales, académicos o personales cuando incluyan una participación técnica claramente demostrable.

• Parte de la información técnica del proyecto está sujeta a confidencialidad.

• Se ruega no aplicar si no se cumplen los requisitos esenciales.

¿QUÉ BUSCAMOS?

Buscamos un perfil técnico, resolutivo y orientado al detalle, con capacidad para desarrollar soluciones reales de visión computacional y Machine Learning aplicadas al análisis de imagen y vídeo.

La persona seleccionada trabajará en problemas relacionados con:

• Detección y seguimiento simultáneo de múltiples personas y objetos.

• Conservación de identidades durante cruces, oclusiones y desapariciones temporales.

• Análisis de trayectorias, movimientos e interacciones.

• Procesamiento temporal de secuencias de vídeo.

• Transformación de resultados visuales en datos estructurados.

• Optimización de modelos y pipelines para conseguir tiempos de procesamiento reducidos.

• Evaluación y mejora continua de la precisión del sistema.

REQUISITOS IMPRESCINDIBLES

• Experiencia profesional trabajando con Python.

• Conocimientos sólidos de Computer Vision y tratamiento de imagen y vídeo.

• Experiencia práctica con OpenCV y PyTorch.

• Experiencia entrenando, ajustando y evaluando modelos de Deep Learning.

• Experiencia preparando, limpiando, estructurando y anotando datasets para IA.

• Conocimientos de detección, segmentación y pose estimation.

• Experiencia con modelos YOLO, preferiblemente YOLOv8, YOLO11 o arquitecturas similares.

• Conocimientos de tracking multiobjeto y asociación temporal de detecciones.

• Capacidad para evaluar modelos mediante métricas objetivas y realizar análisis de errores.

• Capacidad para optimizar el rendimiento y acelerar procesos de inferencia.

• Capacidad para escribir código limpio, modular, mantenible y eficiente.

• Mentalidad resolutiva y orientación práctica a resultados.

VALORAREMOS TAMBIÉN

• Experiencia con ByteTrack, BoT-SORT, OC-SORT, DeepSORT u otros sistemas de tracking.

• Conocimientos de Re-Identification y conservación de identidades.

• Experiencia con RF-DETR, RT-DETR, RTMPose, ViTPose, SAM u otros modelos modernos de visión.

• Experiencia analizando acciones o patrones temporales en vídeo.

• Conocimientos de homografías, calibración de cámaras y sistemas multicámara.

• Conocimientos de NVIDIA CUDA y optimización GPU.

• Experiencia con TensorRT y ONNX.

• Experiencia con DeepStream, GStreamer y FFmpeg.

• Experiencia utilizando Ultralytics, Roboflow, CVAT o herramientas similares.

• Conocimientos de Azure, AWS u otras infraestructuras cloud.

• Experiencia con Docker, APIs y MLOps.

• Conocimientos básicos de C++.

• Experiencia desplegando modelos de visión computacional en producción.

TAREAS PRINCIPALES

• Desarrollo y entrenamiento de modelos de visión computacional y Deep Learning.

• Desarrollo de sistemas de detección, seguimiento e identificación en imagen y vídeo.

• Preparación, limpieza, anotación y estructuración de datasets.

• Integración de información visual, espacial y temporal.

• Evaluación y comparación de modelos y estrategias de tracking.

• Análisis de falsos positivos, falsos negativos y cambios incorrectos de identidad.

• Desarrollo de pruebas de concepto y validación de nuevas soluciones.

• Optimización de pipelines y aceleración de procesos de inferencia.

• Integración de modelos con otros componentes de software.

• Generación de resultados estructurados para su incorporación a una plataforma.

• Documentación de experimentos, resultados y decisiones técnicas.

• Colaboración con equipos técnicos internacionales.

¿QUÉ TIPO DE PERSONA ENCAJARÁ MEJOR?

• Una persona que disfrute programando, experimentando y resolviendo problemas complejos.

• Que tenga iniciativa y sea capaz de transformar una idea en una primera implementación funcional.

• Que sepa comenzar con una solución sencilla y aumentar su complejidad cuando los resultados lo justifiquen.

• Que pueda evaluar de forma rigurosa si una solución funciona realmente.

• Que se adapte bien a un entorno técnico, dinámico y multidisciplinar.

• Que tenga curiosidad, atención al detalle y ganas de participar en el lanzamiento de un producto internacional.

¿TE MOTIVAN LOS RETOS Y QUIERES DESARROLLAR PROYECTOS DE IMPACTO GLOBAL?

¡Únete a Elite Sports 17 y forma parte de algunos de los proyectos tecnológicos más innovadores del mercado internacional!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. API Python Ansible REST DevOps

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

Senior Security Engineer

Job Description
The Mission: You will be a key member of the SIEM team, contributing to the engineering and strategic evolution of our global Security Log Management and Vulnerability Scanning services. This is an end-to-end ownership role: from defining the roadmap and architectural strategy to hands-on engineering and operational excellence. You will ensure our security infrastructure is not only reliable and scalable but also optimized for the modern era of federated data and AI-driven automation.

Description of the area

Key Responsibilities:

• Service Ownership & Strategy: Drive the end-to-end lifecycle of our Security Log Management (Splunk & Cribl) and Security Scanning (Tenable) platforms
• Service Reliability: Ensure the high availability and performance of our security services globally, acting as an escalation point for complex technical challenges
• System Interconnectivity: Develop and manage sophisticated API integrations to ensure seamless data flow between the security scanning (Tenable) and logging (Splunk/Cribl) tiers
• Next-Gen Security Log Architecture: Drive the transition from a traditional "index-all" logging approach to a "data-tiering" mindset. You will focus on cost optimization and performance across all data lifecycle phases: routing, filtering, storing and searching, ensuring security data is accessible and cost-effective
• Infrastructure as Code (IaC): Orchestrate the evolution of our security infrastructure by managing all configurations via CI/CD pipelines (GitHub, Ansible, and Python), to ensure a fully automated and version-controlled environment
• AI-Augmented Engineering: Actively integrate AI Agents and MCP (Model Context Protocol) servers into daily operations. You will build agentic AI workflows to automate configuration, troubleshooting, and complex interconnectivity, while simultaneously improving service offerings and user experience
• Mentorship: Act as a technical catalyst for the team, mentoring colleagues in the art of prompt engineering, agentic AI development, and advanced AI ecosystems
• Technical Leadership: Serve as a technical lead, defining implementation plans and driving continuous process improvements
• Stakeholder Engagement: Effectively manage relationships across functional teams, acting as a clear communicator and advisor to ensure alignment on security goals and project delivery
  
  

Technical Requirements & Expertise:

• Security Service Depth: Deep conceptual understanding of the SIEM/Log Management lifecycle (Collection, Indexing, Storage, Retention and Searching) and Vulnerability Management
• Networking Fundamentals: Expert understanding of networking (TCP/IP, Load Balancing, Firewalls) as it relates to high-volume security data transport
• Coding & API Mastery: Strong experience with Python and interacting with complex REST APIs. Proven ability to interconnect disparate technologies via APIs and custom integrations
• Modern DevOps: Strong experience with Ansible and GitHub for managing infrastructure
• Advanced AI/Automation: Proven experience or deep project work building Agentic AI workflows. Practical expertise in MCP (Model Context Protocol) or building custom LLM-based tools to automate technical tasks
• Tooling (Preferred): Experience with Cribl, Splunk, or Tenable is a plus, but the ability to rapidly upscale and automate these via AI is essential
  
  

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.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. React Python Docker Cloud Coumputing Git REST Redis Office

💻 Job Title: Software Engineer (Agentic AI)

💰 Salary: up to ~€100k (flex for strong candidates)

+ up to 35% bonus (~20% standard, rest based on performance)

📈 Equity: very generous, early stage equity

📍 Location: Madrid (preferred) or Barcelona (1-2 office days)

🚀 Company: autonomous AI agents for enterprise clients

👥 Team: ~35

💸 Funding: ~$25m (Series A)

About the company

This rapidly scaling start-up is building an AI-native platform that lets enterprise clients run high-volume operations through autonomous, conversational agents — voice, chat and messaging, deployed across dozens of countries in over 60 languages, for some of the largest employers in the world.

The company's core technical challenge is multi-agent orchestration that stays rock-solid at scale — reliable, secure and observable whether it's deployed for a healthcare provider in the US or a retailer in Latin America.

Founded by an experienced team with two prior successful exits, backed by a top-tier European VC, and already trusted by household-name enterprise customers.

About the role

You'll build, operate and continuously improve the reliability of the agentic AI systems running in production for enterprise clients — focused on how agents behave, decide, fail, recover and scale under real operational load, not just on shipping new features.

You'll own the observability and evaluation layer that keeps autonomous agents trustworthy at scale — tracing, logging, cost tracking across model calls, regression testing through prompt and model changes, and alerting on failures, hallucinations and degraded performance before customers ever see them.

You'll also work end-to-end across the stack: production-grade async Python services, LLM/RAG pipelines, and the conversational voice layer where relevant — STT/TTS, telephony, real-time latency.

✅ Must have requirements (most of the below):

• Professional fluency in English (and ideally Spanish)
• Strong Python backend engineering — async programming, high-throughput/message-queue systems (Celery + Redis or equivalent), production-grade service design
• Solid LLM/RAG fundamentals — prompt engineering, chaining, caching strategies, vector databases, model selection trade-offs
• Experience building evaluation pipelines for non-deterministic systems — accuracy/consistency testing, regression testing across prompt and model changes, synthetic test data generation
• Production observability instincts — tracing, logging, metrics, alerting on failures and degraded performance, cost tracking and optimisation across model calls
• Comfortable debugging complex, multi-step, non-deterministic agent behaviour in live production systems
• Cloud deployment and containerisation experience (AWS/GCP, Docker)
• Git, testing, CI/CD, code review — clean, testable, well-documented code as standard practice
• Startup pace and mentality - high energy, ownership, proactiveness, hunger to innovate and succeed, comfortable operating with ambiguity

👍 Bonus points for:

• Conversational/voice AI experience — STT/TTS pipelines, turn-taking, telephony integration (e.g. Twilio), latency-sensitive real-time systems
• Frontend experience (ideally React)
• Experience building enterprise or B2B products
• Model fine-tuning or model-selection/cost-optimisation experience

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. Python SaaS Machine Learning Office

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.

The Team:

Celonis Services is a strategic organization focused on optimizing our customers' business processes through technical expertise. We integrate Consulting Services, Academy, and Customer Support to deliver comprehensive solutions. As thought leaders with deep product, technical, and domain expertise, we specialize in implementing Celonis to drive the adoption of process intelligence, ultimately transforming and improving our customers' core business operations. We achieve this by leveraging our best practices, extensive delivery experience, award-winning enablement programs, and robust support infrastructure.

The Role:

As a Lead AI Deployment Architect, you will work directly with customers to understand their problems and design, deploy and scale innovative AI solutions and automations using our Process Intelligence platform. In a pre-sales and post sales capacity you will work closely with other AI experts across Product & Engineering and GTM to standardize these solutions and bring them to our customer base at scale. We are ideally looking for individuals with in-depth practical experience in delivering solutions to our customers.

The work you’ll do:

• Architect & Deploy: Prototype, develop, and scale end-to-end AI solutions tailored to customer needs, leveraging Python, LLM-based architectures (RAG), and Machine Learning models.
• Strategic Alignment: Pitch the Celonis AI value proposition to C-level stakeholders, aligning our Process Intelligence capabilities with their broader enterprise AI strategy.
• Scale Innovation: Identify high-impact AI use cases across the Celonis platform and package them into scalable, repeatable offerings (e.g., via the Machine Learning Workbench).
• Lead Lighthouse Projects: Define and execute the technical roadmap for AI Lighthouse customers, ensuring successful value realization from pilot to production.
• Cross-Functional Feedback: Act as the technical voice of the customer, collaborating with Product & Engineering to influence the roadmap for AI Agents and automation capabilities.
• Enablement & Evangelism: Train internal teams on AI deployment best practices and share success stories to elevate the organization’s technical maturity.
• Full-Stack Implementation: Design and architect deployments that seamlessly integrate AI, Process Intelligence, and Automation into complex enterprise IT landscapes.
  
  

The preferred qualifications you need:

• Experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and/or respective Software deployment. Ideally in a customer-facing role with a Consultancy or Business Software / SaaS Provider. Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise.
• Proven experience developing AI solutions for enterprises, with a strong portfolio showcasing successful use cases solving real-world problems.
• Proficiency in programming languages such as Python
• Excellent problem-solving skills, analytical thinking, and attention to detail, with a track record of delivering high-quality solutions under tight deadlines.
• Strong communication and collaboration skills, with the ability to translate complex concepts into actionable insights for non-technical stakeholders.
• Experience in production level acceptance testing, delivering end-to-end solutions
• Strong visionary architectural mindset to develop scalable & easily extensible solutions
• Strong technical acumen to be able to choose the right AI solution / technology for the respective customer pain point
• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Econometrics or related field.
  
  

What Celonis can offer you:

• Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
• Ownership from Day 1: Every full-time Celonaut is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
• Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
• Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
• Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
• Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated Wellness Weeks that prioritize work/life balance.
• Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
• Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
• Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.
  
  

About Us:

Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI’s operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

Get familiar with the Celonis Process Intelligence Platform by watching this video.

Celonis Inclusion Statement:

At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.

Your Privacy:

Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices

By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process.

Use of Artificial Intelligence Tools

We rely on an artificial intelligence tool to match the information from your resume to the relevant Celonis job descriptions. This processing is limited to the information provided in your resume or in your candidate profile. The tool produces a match score per candidate for a role, suggests preliminary ranking, and provides recommendations.

The tool is only used for support in parts of the job application process, including to facilitate the identification of the relevant Celonis Jobs for candidates and recruiters. All final decisions are made by hiring managers and the Celonis talent acquisition team. Hiring managers and HR specialists use this tool responsibly, are aware of the risk of potential bias, and are equipped to mitigate it.

Please be aware of common job offer scams, impersonators and frauds. Learn more here.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. React API Java Node.js Python Azure C++ Cloud Coumputing Microservices AWS DevOps

• Location: Barcelona, Spain
  
  

About The Job

As Staff Software Engineer within our Global eCommerce Software Engineering team, you'll shape the technical future of a $7 billion global business connecting patients and healthcare professionals to life-changing medicines and vaccines. Ready to get started?

Based within Sanofi's Digital Global eCommerce & Vaccines organization, you'll work at the intersection of business and technology — partnering with cross-functional teams to revolutionize how patients access Sanofi's medicines worldwide. This role reports directly to the Head of Software Engineering, eCommerce. From customer onboarding to shipment delivery, you'll set the technical bar for the entire organization and amplify the impact of the engineers around you

About Sanofi

Sanofi is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health, committed to chasing the miracles of science to improve people's lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions

At Sanofi, we believe our people are our greatest strength, and we are committed to creating an inclusive environment where diverse perspectives drive innovation. Our values — Aim Higher, Act for Patients, Be Bold, and Lead Together — guide everything we do

Main Responsibilities

• Drive technical strategy across multiple teams and domains, designing scalable, resilient architectures for global eCommerce platforms — from customer-facing experiences to backend operations
• Own critical technical decisions, balancing engineering excellence with pragmatism to deliver high-quality solutions on time
• Champion best practices in cloud-native development, microservices, APIs, CI/CD, DevOps, and cybersecurity across the organization
• Mentor and grow senior engineers, fostering a culture of knowledge sharing, psychological safety, and continuous improvement
• Bridge engineering, product, and business teams, ensuring technical direction aligns with organizational goals and delivers real impact for patients
• Represent engineering in conversations with external partners and vendors, advocating for sound technical standards
  
  

About You

• Experience: Proven track record leading technical initiatives and mentoring senior engineers in fast-paced, innovative environments
• Technical skills: Proficiency in JavaScript/TypeScript (Node.js), React or equivalent, and an object-oriented language (Java, Python, C++, or similar); hands-on experience with cloud platforms (AWS, GCP, or Azure), Infrastructure as Code, microservices, API design, CI/CD, observability tools (e.g. DataDog), and automated testing
• Soft skills: Strong communicator and collaborative leader who can influence peers and leadership alike; growth mindset with a passion for innovation and learning
• Education: A background in Computer Science, Engineering, or equivalent practical experience
• Languages: Fluent English (written and verbal)
  
  

Why choose us?

• Global impact at scale — your work will directly support patients and healthcare professionals worldwide
• Force-multiplier role — your greatest contribution is elevating those around you, not just your own output
• Cutting-edge technology — work with modern cloud-native stacks on a platform that is actively being transformed
• Inclusive, people-first culture — join a team where diverse perspectives are celebrated and every voice matters
• Mission-driven work — every line of code contributes to making life-changing medicines more accessible worldwide
  
  

Pursue Progress. Discover Extraordinary.

Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

#BarcelonaHub #SanofiHubs

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. React Python Docker Cloud Coumputing Git REST Redis Office

💻 Job Title: AI Engineer

💰 Salary: up to ~€100k (flex for strong candidates)

+ up to 35% bonus (~20% standard, rest based on performance)

📈 Equity: very generous, early stage equity

📍 Location: Madrid or Barcelona (1-2 office days)

🚀 Company: autonomous AI agents for enterprise clients

👥 Team: ~35

💸 Funding: ~$25m (Series A)

About the company

This rapidly scaling start-up is building an AI-native platform that lets enterprise clients run high-volume operations through autonomous, conversational agents — voice, chat and messaging, deployed across dozens of countries in over 60 languages, for some of the largest employers in the world.

The company's core technical challenge is multi-agent orchestration that stays rock-solid at scale — reliable, secure and observable whether it's deployed for a healthcare provider in the US or a retailer in Latin America.

Founded by an experienced team with two prior successful exits, backed by a top-tier European VC, and already trusted by household-name enterprise customers.

About the role

You'll build, operate and continuously improve the reliability of the agentic AI systems running in production for enterprise clients — focused on how agents behave, decide, fail, recover and scale under real operational load, not just on shipping new features.

You'll own the observability and evaluation layer that keeps autonomous agents trustworthy at scale — tracing, logging, cost tracking across model calls, regression testing through prompt and model changes, and alerting on failures, hallucinations and degraded performance before customers ever see them.

You'll also work end-to-end across the stack: production-grade async Python services, LLM/RAG pipelines, and the conversational voice layer where relevant — STT/TTS, telephony, real-time latency.

✅ Must have requirements (most of the below):

• Professional fluency in English (and ideally Spanish)
• Strong Python backend engineering — async programming, high-throughput/message-queue systems (Celery + Redis or equivalent), production-grade service design
• Solid LLM/RAG fundamentals — prompt engineering, chaining, caching strategies, vector databases, model selection trade-offs
• Experience building evaluation pipelines for non-deterministic systems — accuracy/consistency testing, regression testing across prompt and model changes, synthetic test data generation
• Production observability instincts — tracing, logging, metrics, alerting on failures and degraded performance, cost tracking and optimisation across model calls
• Comfortable debugging complex, multi-step, non-deterministic agent behaviour in live production systems
• Cloud deployment and containerisation experience (AWS/GCP, Docker)
• Git, testing, CI/CD, code review — clean, testable, well-documented code as standard practice
• Startup pace and mentality - high energy, ownership, proactiveness, hunger to innovate and succeed, comfortable operating with ambiguity

👍 Bonus points for:

• Conversational/voice AI experience — STT/TTS pipelines, turn-taking, telephony integration (e.g. Twilio), latency-sensitive real-time systems
• Frontend experience (ideally React)
• Experience building enterprise or B2B products
• Model fine-tuning or model-selection/cost-optimisation experience

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada8 nov.

. Python Agile Jira UML Office

Job Description:

Mission & Duties

• The duties and responsibilities of the Onboard Safety Critical Senior Software Engineer for the Department of Air Refueling Software will be the following:
• To be in charge of the Software Requirements Specification for the Onboard Safety Critical Computing Platforms developed inside the AR Domain.
• To be in charge of the Hardware/Software Integration Testing for the Onboard Safety Critical Processing Units developed inside the AR Domain.
• To be involved in the development of the Software DO-178B/C DAL A/B for the Onboard Processing Units developed under the responsibility of the Air Refueling domain, and to be involved in its verification (testing, reviews and analysis).
• To share the responsibility of the Software Certification Process of such Software in front of the Certification Authorities in order to demonstrate the compliance with the RTCA DO-178B/C DAL A/B Objectives.
• To lead R&T and R&D projects to evolve to new technological frameworks in the Safety Critical Airborne Systems development and certification
  
  

Skills

• For such purposes the following skills are required:
• Advance knowledge in Artificial Intelligence technology
• Demonstrated previous experience in the usage of AI techniques
• Knowledge in Software Certification Processes and Regulation (RTCA DO-178B/C up to DAL A/B).
• Advanced level of knowledge of C/C++ and Ada95/2012 programming language.
• Advanced level of knowledge of modelling languages and environments as UML and SysML, Matlab/Simulink and SCADE Suite/Display.
• Demonstrated previous experience in Software Certification Processes applying the RTCA DO-178B/C up to DAL A/B.
• Advanced level of knowledge on Static Timing Analysis and optimization techniques.
• Advanced level of knowledge on Design Constraints and optimization techniques.
• Knowledge on Code Static Analysis techniques including such based on abstract interpretation.
• Knowledge on SW Verification Techniques considering Software Hardware/Software Integration and Software Integration Testing, and Formal Review of Software Requirements, Software Architectures and Design, Source Code and Test Cases Definitions and Results.
• Knowledge on Software Structural Coverage Analysis Techniques for DAL A/B.
• Knowledge on Worst-Case Execution Time Analysis techniques
• Advanced knowledge of Real Time Operating Systems.
• Advanced knowledge of Partitioning Architectures and ARINC653 Standard.
• Knowledge and demonstrated previous experience in control systems theory.
• Knowledge and demonstrated previous experience in continuous integration environments and SW management tools such as JIRA, GIT/Bitbucket.
  
  

Additional Valuable Skills

• Advanced knowledge of Python and scripting.
• Demonstrated previous experience in AGILE frameworks.
• Knowledge in GPU technologies and GPGPU approaches
• Knowledge in FPGA technologies and integration of AI/CV algorithms into FPGAs.
• Knowledge in current state of the art of the usage and certification of AI in airborne systems
• Knowledege in synthetic data generation and visual simulations, specifically in UNREAL framework.
  
  

At Airbus we are focused on our employees and their welfare. Take a look at some of our social benefits:

• Vacation days and additional days-off along the year (+35 working days off in total).
• Attractive salary and compensation package.
• Hybrid model of working when possible, promoting the work-life balance
• Collective transport service in some sites.
• Benefits such as health insurance, employee stock options, retirement plan, or study grants.
• On-site facilities (among others): free canteen, kindergarten, medical office.
• Possibility to collaborate in different social and corporate social responsibility initiatives.
• Excellent upskilling opportunities and great development prospects in a multicultural environment.
• Special rates in products & benefits.
  
  

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus Defence and Space SAU

Employment Type:

Permanent

Experience Level:

Professional

Job Family:

Software Engineering

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.

Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [email protected] .

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

#YESPOST