Ofertas de empleo para Kubernetes

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada13 jul.

Teletrabajo . Python Cloud Coumputing Kubernetes Git AWS Bash DevOps Terraform Kafka Office

Job Title: Senior Platform Engineer

Location: Madrid, Tres Cantos

Type: Full-time

Work model: remote work setup with occasional visits to the office

Type of contract: permanent contract of employment

📌 About the Role

We are looking for a skilled Platform Engineer to join our Platform Enablement Team. In this role, you will work closely with development teams to guide them in adopting unified DevOps practices, standardized tooling, and secure, scalable cloud solutions. Your work will directly influence platform consistency, developer productivity, and operational excellence across the organization.

Key Responsibilities

• Collaborate continuously with development teams to understand their needs, provide guidance, and support the adoption of platform standards.
• Drive harmonization of DevOps practices, tooling, and workflows across all engineering teams.
• Build and maintain shared platform components, including Kubernetes clusters, CI/CD pipelines, GitOps workflows, and infrastructure automation.
• Support teams in deploying and operating services on AWS, Kubernetes, ArgoCD, Helm, and related cloud-native technologies.
• Implement and maintain Infrastructure as Code using CloudFormation or Terraform.
• Develop automation and tooling using Python and Bash to optimize developer workflows.
• Promote security best practices and ensure platform solutions align with compliance and operational standards.
• Assist in the operation and optimization of Kafka and other shared services.
• DataDog monitoring.
• Provide technical mentoring on DevOps concepts, SDLC best practices, and developer tooling.
  
  

Required Skills & Qualifications

✅ Strong hands-on experience with AWS and cloud-native solutions.

✅ Deep understanding of Kubernetes and container orchestration.

✅ Experience with ArgoCD, Helm, and GitOps principles.

✅ Proficiency with GIT and branching strategies.

✅ Strong scripting and automation skills using Python and Bash.

✅ Experience with Kafka and distributed messaging systems.

✅ Knowledge of Infrastructure as Code (CloudFormation, Terraform).

✅ Experience building and improving CI/CD pipelines.

✅ Strong understanding of SDLC, developer workflows, and DevOps best practices.

✅ Experience with DataDog for monitoring and observability.

✅ Excellent written and verbal English communication skills, with the ability to work closely with multiple engineering teams.

✅ Solid understanding of security in cloud and DevOps environments.

Nice-to-Have Skills

💠 Background in platform engineering or internal developer platforms (IDP).

💠 AWS or Kubernetes certifications.

About Sanoma Learning

How do you prepare students for the world, engage their curiosity and inspire them to grow? That is the main question of teachers all around the world. At Sanoma Learning, it has always been our mission to help to find and develop best-in-class answers to this question. If you join us, it means that you embark on an exciting journey to help shape the future of learning for primary, secondary and vocational education. We believe that your journey is our success as a company.

Sanoma Learning is a leading K12 European learning company, operating in 12 countries. Our learning products and services enable and support teachers and schools to develop the talents of every child to reach their potential. By offering printed and digital learning content, as well as digital learning and teaching platforms for primary, secondary and vocational education, we want to grow our positive impact on learning across Europe. With over 3000 employees, we help shape the future of education for 25+ million of students.

So, are you ready to start your journey to help shape the future of learning and help teachers to support all students to reach their potential?

Sanoma Learning is an equal opportunity employer; we are committed to inclusion and diversity, ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada13 jul.

. Java Agile TSQL Docker Cloud Coumputing Kubernetes jUnit QA

Join CGI!

Founded in 1976, CGI is one of the largest IT and business consulting services firms in the world. We are built on insights and results to help accelerate our clients’ digital transformation. Across 21 industries in 400 locations worldwide, our 93,000 professionals deliver comprehensive, scalable, and sustainable IT and business consulting services locally.

Job Description

As a QA, you will be part of our team within the gambling area, contributing to the design, execution, and continuous improvement of testing strategies to ensure high-quality, reliable software products. You will work closely with cross-functional teams to validate functionality, performance, and compliance across complex systems.

Key Requirements

• Passion for Quality: A long-term commitment to driving excellence in quality engineering.
• Testing Expertise: Solid understanding of the testing pyramid, including its more technical layers.
• Technical Skills Hands-on experience with automated testing frameworks like JUnit, PACT.Knowledge of programming languages such as Java, SQL, PL-SQL
• Familiarity with software architectures, including components and dependencies.Experience with Docker, Kubernetes and on-premise cloud infrastructure.
• CI/CD Knowledge: Good understanding of CI/CD practices and their integration into the SDLC.
• Manual Testing: Expertise in manual testing phases, including exploratory testing.
• Proactive Problem Solving: Ability to take the lead and drive solutions when needed.
• Communication Skills: Strong written and verbal communication in English.
• Collaborative, curious, and solution-oriented mindset.
• Ability to work in agile environments.
• English
  
  

What We Offer

• Permanent contract
• Continuous training and access to official certifications
• Work model: [hybrid / remote]
• Participation in the company share purchase plan from day one
• Involvement in innovative projects for major clients
• Flexible compensation: childcare vouchers, meal tickets, transport card, etc.
• Life and accident insurance
• Collaborative environment and growth-oriented culture
• Flexible career path tailored to your expectations
• Internal knowledge communities
  
  

Your future duties and responsibilities

Required Qualifications To Be Successful In This Role

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team—one of the largest IT and business consulting services firms in the world.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada13 jul.

. Python Agile Azure Scrum Docker Cloud Coumputing Kubernetes Microservices Hadoop AWS DevOps Spark Big Data Power BI Tableau

Are you passionate about technology and love to be at the forefront of innovation?

At GMV we are looking for a Technical Lead to drive Technology Transformation in the field of Intelligent Transportation Systems (ITS), integrating advanced Data Analytics capabilities.

If you have a creative mind, exceptional skills in software architecture and data management, and you are ready to take on new challenges, we want to meet you!

We´ll get to the point; we'll tell you what's not on the web. If you want to know more about us go to GMV website

WHAT CHALLENGE WILL YOU BE TAKING ON?

The main purpose of this role is to establish the Technological and Strategic Architecture to evolve the existing platform towards a scalable and efficient environment, aligned with current data trends, contributing to optimise decision making in public transport.

Your main functions will be:

• Define and execute the strategic data roadmap, aligning the architecture with business objectives.
• Lead a team of data and analytics engineers, fostering their professional development.
• Act as Scrum Master, prioritising short-term deliverables without losing sight of the strategic vision.
• Design and implement modern architectures based on microservices and containers, using technologies such as Docker and Kubernetes.
• Promote and oversee best practices in data governance, security, modelling and technical documentation.
• Oversee the development lifecycle, from design to implementation, with a focus on quality and efficiency.
  
  

WHAT DO WE NEED IN OUR TEAM?

For this position, we are seeking experts with solid experience in:

• Architectural design and construction of complex systems.
• Technology platforms towards advanced capabilities, including data integration.
• Expertise in data integration: o Experience with scalable data architectures and modern integration tools (Apache Airflow, Prefect, Luigi).
• Object-oriented programming.
• Data analysis and visualisation tools (Tableau, Power BI).
• Python ecosystem (Pandas, NumPy, ML frameworks).
• Design and implementation of cloud-oriented architectures (AWS, Azure, GCP).
• Knowledge of Big Data frameworks (Apache Spark, Hadoop, HDFS) and storage (S3, SQL/NoSQL databases).
• Containers and deployment: Docker, Kubernetes.
  
  

Knowledge in DevOps and CI/CD practices for the deployment and maintenance of platforms, previous experience in projects related to public transport or ITS, familiarity with agile methodologies and relevant technical certifications in cloud (AWS Certified Solutions Architect, Google Cloud Professional Data Engineer) will be an asset.

WHAT DO WE OFFER?

🕑 Hybrid working model and 8 weeks per year of teleworking outside your usual geographical area.

💻 Flexible start and finish times, and intensive working hours Fridays and in summer.

🚀 Personalized career plan development, training and language learning support.

🌍 National and international mobility. Do you come from another country? We can offer you a relocation package.

💰 Competitive compensation with ongoing reviews, flexible compensation and discount on brands.

💪Wellbeing program: Health, dental and accident insurance; free fruit and coffee, physical, mental and financialhealth training, and much more!

⚠️ In our recruitment processes you will always have telephone and personal contact, face-to-face or online, with our talent acquisition team. In addition, bank transfers and bank cards will never be requested. If you are contacted through any other process, please write to our team at [email protected]

❤️We promote equal opportunities in recruitment, and we are committed to inclusion and diversity.

WHAT ARE YOU WAITING FOR? JOIN US

If you have any questions please do not hesitate to contact Alejandra Estévez Melgarejo, in charge of this vacancy.

Alejandra Estévez Melgarejo

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada13 jul.

. Python Docker Cloud Coumputing Kubernetes Git Machine Learning

About Us

We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.

As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.

About Energy Systems

We help customers navigate the complex transition to a decarbonized and more sustainable energy future. We do this by assuring that energy systems work safely and effectively, using solutions that are increasingly digital. We also help industries and governments to navigate the many complex, interrelated transitions taking place globally and regionally, in the energy industry.

About The Role

GreenPowerMonitor, a DNV company, is at the heart of the global energy transformation. We use data-driven digital solutions to optimise the performance of renewable energy installations around the world. Our work contributes to a more diverse, more sustainable global energy mix.

We are looking for an ML Engineer to help create, productize and evolve generative AI solutions on Horizon, GreenPowerMonitor’s cloud platform that transforms renewable energy operational data into actionable insights for monitoring, optimization, and decision-making.

This is a hands-on, impact-driven role where you will build LLM-powered agents and embed them directly into a production system used by renewable energy professionals worldwide. You will work closely with product managers and software engineers to design, deploy, and maintain production-grade AI systems, starting with a user-oriented AI assistant embedded in Horizon.

Over the course of the year, your work will support the strategic goal of enriching Horizon with LLM models, starting with a predictive maintenance module and evolving the platform to become more autonomous and intelligent for users, turning operational data into actionable insights.

What You’ll Do

• Connect to diverse data sources within the Horizon platform, including operational data, structured metadata, and technical documentation, and design Retrieval-Augmented Generation (RAG) pipelines for scalable AI systems.
• Extract, transform, and structure data for optimal use with LLMs, manage embeddings, indexing, and context retrieval, and ensure AI models are grounded in accurate, real-world information.
• Design, deploy, fine-tune, and continuously improve production-grade LLM and multimodal agents, optimizing prompts, mitigating hallucinations, and evaluating performance to deliver reliable, context-aware outputs.
• Build and maintain client-facing AI assistants and chatbots, explaining system behavior, capabilities, and limitations to both technical and non-technical stakeholders, and integrating AI features seamlessly into Horizon workflows.
• Stay up to date with advances in generative AI, agent-based systems, and instruction-tuned models, experimenting with frameworks like LangChain and collaborating on experiments using large instruction-tuned models.
• Collaborate closely with product and software teams to take AI solutions from concept to production, ensuring features are robust, scalable, and directly support Horizon users in monitoring, optimizing, and managing renewable energy assets.
  
  

What makes this role exciting: you’ll take cutting-edge LLM and agent-based systems out of the lab and into production, building AI that directly supports the operation and optimization of renewable energy assets at global scale.

What we offer

Our benefits package is specifically designed to support your physical, financial and social well-being:

• Great atmosphere of working together with professionals and some of the most engaged and knowledgeable people in the industry,
• Receive guidance from colleagues through coaching, mentoring and participating in international networks,
• Advance your professional skills and technical expertise, through individual competence development plans and tailored training,
• Be part of a world growing and renowned organization with origins dating back to 1864.
  
  

Other Than You Can Expect

• Medical Scheme,
• Commuting Allowance,
• Life Insurance,
• Pension Plan,
• Kindergarten Allowance,
• 40 hours per week with a flexible schedule. Friday
• Home working allowance (up to 2 days per week),
• 23 days of annual leave,
• Employee Referral scheme.
  
  

DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.

Requirements

About you

• Master’s degree or equivalent experience in Mathematics, Data Science, Computer Science, Machine Learning, or a related field,
• Hands-on experience with Large Language Models (LLMs) or generative AI systems,
• Experience with RAG pipelines, embeddings, and prompt optimization,
• Strong understanding of Transformer architectures and fine-tuning,
• Proficiency in Python,
• Familiarity with CI/CD, Docker, Kubernetes (K8s), and Git is a plus,
• Fluency in written and spoken English.
  
  

You are curious, adaptable, and proactive, thriving in collaborative, fast-moving environments. You take ownership of projects, communicate complex AI concepts clearly to technical and non-technical stakeholders, and enjoy solving challenging real-world problems.

As part of the interview process, we ask you to submit a short report or demo of an AI agent you’ve built. This is your chance to showcase your hands-on skills and highlight your creativity.

Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada13 jul.

Teletrabajo . Python TSQL Azure Docker Cloud Coumputing Kubernetes DevOps Terraform Spark Machine Learning

¿Te imaginas participando en la transformación de las principales organizaciones nacionales e internacionales?

En Deloitte estamos comprometidos con generar un impacto en la sociedad, en nuestros clientes y en ti.

En Deloitte, sabemos que la mejor forma de afrontar los retos del entorno es a través del mejor talento, por eso buscamos personas con pasión por la innovación tecnológica y la transformación de los negocios.

Desde nuestro equipo de Inteligencia Artificial (IA) buscamos incorporar un/a Senior Delivery Consultant – AI, Data & Azure para participar en proyectos de alto impacto relacionados con Inteligencia Artificial, Generative AI, Machine Learning y plataformas de datos cloud sobre Microsoft Azure.

Tendrás la oportunidad de trabajar en proyectos desafiantes y dinámicos, diseñando e implementando soluciones avanzadas de IA para clientes enterprise, colaborando con equipos multidisciplinares y participando en iniciativas end-to-end, desde el discovery hasta el delivery.

¿Cómo será tu día a día?

• Diseñar arquitecturas cloud escalables y seguras para soluciones de IA, Machine Learning, Generative AI y analítica avanzada sobre Azure.
• Participar en el desarrollo e implantación de soluciones con Azure OpenAI, Azure AI Search, Azure ML, Databricks, Synapse/Fabric, Data Lake, AKS o Container Apps.
• Diseñar e implementar soluciones RAG, copilotos, asistentes conversacionales y agentes inteligentes.
• Participar en proyectos de ML y Deep Learning, desde la experimentación hasta producción.
• Trabajar en pipelines de datos batch y near real-time, modelado de datos y arquitecturas modernas de datos.
• Colaborar en prácticas de MLOps, LLMOps, CI/CD e infraestructura como código.
• Incorporar criterios de seguridad, observabilidad, escalabilidad y gobierno del dato en las soluciones.
• Liderar técnicamente iniciativas AI & Data y colaborar con cliente en workshops, discovery, roadmap y definición de soluciones.
• Coordinar equipos multidisciplinares y comunicar decisiones técnicas a perfiles técnicos y de negocio.
  
  

¿Qué estamos buscando?

• Experiencia sólida en proyectos de AI, Data o Machine Learning en entornos cloud.
• Experiencia práctica con Microsoft Azure y servicios de IA y datos.
• Experiencia en soluciones de Generative AI, RAG, copilotos o agentes inteligentes.
• Dominio de Python y librerías de datos/IA como Pandas, Scikit-learn, PyTorch, TensorFlow, LangChain o similares.
• Experiencia con SQL, modelado de datos y despliegue de soluciones en producción.
• Conocimiento de arquitecturas cloud, seguridad, escalabilidad y buenas prácticas de desarrollo.
• Capacidad para trabajar directamente con cliente y liderar técnicamente iniciativas.
• Nivel alto de español e inglés.
  
  

Será muy valorable si además cuentas con:

• Experiencia en MLOps, LLMOps, PromptOps o DevOps.
• Conocimiento de Docker, Kubernetes, AKS, Terraform, Bicep o GitHub Actions.
• Experiencia con Databricks, Spark, Delta Lake, Microsoft Fabric, BigQuery o Vertex AI.
• Experiencia en visión artificial, NLP, análisis documental o deepfakes.
• Conocimiento de OWASP, DAST o seguridad aplicada a IA.
• Experiencia en sectores regulados o proyectos internacionales.
  
  

¿Cómo es trabajar en Deloitte?

🤩 Proyectos de alto impacto donde tendrás un largo recorrido y aprendizaje

☯️ Un día a día híbrido-flexible: tendrás horario flexible y un buen equilibrio entre el teletrabajo y el trabajo en equipo en nuestras oficinas o las de nuestros clientes

⚽ Buen ambiente dentro y fuera de la oficina: disfrutarás de varios teambuildings al año, actividades culturales y deportivas… ¡y mucho más!

🧘♀️ Bienestar integral: cuídate con nuestro programa de salud física, mental y financiera… ¡y con equipo médico en las oficinas!

🤲 Impacto social: Podrás apuntarte a una gran cantidad de voluntariados de alcance nacional e internacional y a proyectos pro-bono con los que poner tu tiempo y talento al servicio de quienes más lo necesitan

🗣️Cultura del feedback y aprendizaje continuo: crecerás en un entorno inclusivo donde la igualdad de oportunidades y tu plan personalizado de formación impulsarán tu desarrollo. ¿Ya te visualizas en la Deloitte University de París?

🤝 Beneficios exclusivos por ser parte de Deloitte: podrás disfrutar de un gran catálogo de beneficios y de un completo plan de retribución flexible

Si te gusta lo que lees, estos son tus próximos pasos:

• Aplica a la oferta haciendo clic en ‘Enviar candidatura ahora’ y completa tu perfil
• Si encajas en el puesto, nuestro equipo de talento te contactará para conocerte mejor
  
  

¡Comienza el proceso! Te iremos guiando por las diferentes fases hasta tu incorporación.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada12 jul.

Teletrabajo . Java Agile Jenkins Docker Kubernetes Git REST Oracle AWS Spring SOAP IoT PostgreSQL Microservices Kafka

Elegir Capgemini significa elegir una compañía donde tendrás la libertad de dar forma a tu carrera como desees, donde contarás con el apoyo e inspiración de una comunidad colaborativa de colegas en todo el mundo, y donde podrás reimaginar lo que es posible. Únete a nosotros y ayuda a que las principales organizaciones del mundo desbloqueen el valor de la tecnología y construyan un mundo más sostenible y más inclusivo.

En el Agile Delivery Center de Capgemini buscamos un Tech Lead Java para unirse a nuestro ADCenter, un centro especializado en desarrollo de software ágil y cloud-native para clientes europeos. Participarás en un proyecto de largo recorrido para un cliente de referencia del sector público francés, dentro de un entorno colaborativo, multidisciplinar e internacional, con foco en tecnologías modernas.

¿Cuál será tu misión?

Como Tech Lead Java, participarás en el diseño y desarrollo de soluciones backend, liderando técnicamente al equipo y trabajando en un entorno ágil e internacional. Colaborarás con equipos multidisciplinares, tomarás decisiones técnicas y contribuirás a la mejora continua de la arquitectura, los patrones de diseño y los procesos de desarrollo.

¿Qué buscamos?

• Mínimo 5 años de experiencia trabajando en proyectos de gran escala y desarrollo con Java 8+.
• Mínimo 5 años de experiencia con SpringBoot.
• Idealmente experiencia en arquitectura de Microservicios.
• Experiencia liderando equipos técnicos con metodologías ágiles.
• Participación y control en todas las fases del desarrollo de software.
• Git & CI/CD (Jenkins, Travis, GitLab, TeamCity, etc.).
• Buenas habilidades comunicativas.
• Nivel intermedio/avanzado de Inglés.
  
  

Conocimientos Valorables

• WebLogic o relacionados con J2EE Application Servers, PasS, Kubernetes, ECS, Kafka, SharePoint...
• REST, SOAP, HTTP, PostgreSQL, MySQL/MariaDB, Oracle y conceptos generales de desarrollo web.
• Contenedores (Docker, Kubernetes).
• Data Analytics en AWS, RDS o Redshift.
• AWS IoT.
  
  

¿Qué ofrecemos?

• Contrato indefinido.
• Modelo híbrido de trabajo.
• Jornada intensiva los viernes y durante julio y agosto.
• Planes de formación continuos orientados a las últimas tecnologías.
• Paquete de beneficios sociales: Ticket Restaurant, seguro médico, seguro de vida, fisioterapia, ayuda guardería, ayuda teletrabajo, Gympass...
• Plan de carrera personalizado con oportunidades reales de crecimiento.
• Retribución flexible.
  
  

¿Por qué unirte al ADCenter de Capgemini?

Ser parte de nuestro centro no solo incluye el desarrollo de un rol técnico en un proyecto específico, sino la responsabilidad de innovar, contribuir y salir de tu zona de confort y apostar por el crecimiento participando en la evolución del centro en tu día a día.

La persona seleccionada entrará en un centro en constante evolución con grandes oportunidades profesionales en el área que más le interese y optando a diferentes lineas de desarrollo para su carrera profesional (arquitectura, management, funcional, desarrollo...).

Capgemini es un socio global de transformación empresarial y tecnológica impulsado por la inteligencia artificial, que ofrece valor empresarial tangible. Imaginamos el futuro de las organizaciones y lo hacemos realidad gracias a la IA, la tecnología y las personas. Con una sólida trayectoria de casi 60 años, somos un grupo responsable y diverso formado por 420.000 profesionales en más de 50 países. Ofrecemos servicios y soluciones end‑to‑end gracias a nuestra profunda experiencia sectorial y a un sólido ecosistema de partners, aprovechando nuestras capacidades en estrategia, tecnología, diseño, ingeniería y operaciones de negocio. El Grupo registró unos ingresos globales de 22.100 millones de euros en 2024.

Make it real | www.capgemini.com

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada12 jul.

. Python Kubernetes AWS PostgreSQL Machine Learning

Straumann Group

At Straumann Group we’re on an exciting journey of growth, innovation, and impact - driven by our mission to improve oral health and transform millions of lives worldwide. United by purpose, we bring our best selves to work every day, embracing a high-performance, player-learner culture that inspires collaboration, curiosity, and ambition. Here, you’ll have the opportunity to take charge of your own career, harnessing your skills, passion, and enthusiasm for learning to continually grow and progress. Together, we’re not just shaping brighter smiles, we’re unlocking the potential of people everywhere, including our own.

About The Role

We are looking for a Senior Data Platform / Data Engineer to join our ML Platform team and help build and scale the data infrastructure that powers our AI products in dentistry. Our platform supports the full AI development lifecycle, from raw data ingestion and annotation workflows to dataset versioning and model training pipelines. You will work closely with Machine Learning Researchers (MLRs), MLOps engineers, and product teams to ensure our data infrastructure is reliable, scalable, and easy to use.

A key focus of the role is improving our Data Lakehouse (DLH) and dataset management workflows, including dataset versioning (DVC) and improving how data is prepared, extracted, and consumed across research and production systems.

What You Will Work On

You will play a key role in shaping the next generation of our data platform.

Typical Responsibilities Include

Data platform ownership

• Design and evolve the Data Lakehouse (DLH) architecture used across our ML teams.
• Improve the reliability and structure of data ingestion, extraction, and transformation pipelines.
• Ensure datasets used for training and evaluation are consistent, reproducible, and well documented.
  
  

Dataset lifecycle management

• Improve workflows for dataset versioning and reproducibility using tools such as DVC.
• Design solutions for managing multiple versions of datasets and annotations across experiments and models.
• Improve the ability for researchers to retrieve the correct dataset versions reliably.
  
  

Data pipelines and infrastructure

• Build and maintain scalable data pipelines in Python.
• Improve metadata management, dataset validation, and data quality monitoring.
• Optimize data workflows across AWS-based infrastructure.
  
  

Collaboration with ML teams

• Work closely with ML researchers and ML engineers to understand their data needs.
• Support research workflows with reliable and efficient data access patterns.
• Help translate research requirements into robust platform capabilities.
  
  

Data governance and quality

• Implement practices for data quality, reproducibility, and traceability across the ML lifecycle.
• Ensure our data infrastructure meets the requirements of regulated AI development.
  
  

Must Have

What we’re looking for:

• Strong Python engineering skills
• Experience building data pipelines or data platforms
• Experience working with AWS
• Experience working with large datasets used in ML workflows
• Strong software engineering practices (testing, CI/CD, documentation)
• Experience collaborating with ML teams or working in AI environments
  
  

Nice To Have

• Experience with dataset versioning tools such as DVC
• Experience with Kubernetes
• Experience with data lakehouse architectures
• Experience working with annotation pipelines or ML training datasets
• Experience with PostgreSQL, Metabase, or similar data tooling
• Experience working in regulated environments (medical / healthcare AI)
  
  

Our stack

• AWS
• Python
• Kubernetes
• PostgreSQL
• Metabase
• DVC for dataset versioning
• Internal Data Lakehouse infrastructure
  
  

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Employment Type: Full Time

Alternative Locations: Spain : Madrid

Travel Percentage: 0 - 10%

Requisition ID: 20071

20071

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada12 jul.

Teletrabajo . Python Docker Kubernetes Microservices REST gRPC Excel Office

At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards.

In pursuit of this objective, we acquire and improve digital businesses, not to sell on, but to own and operate for the long term. The transformations we make are often deep—designed to speed up innovation, benefit customers, and strengthen business performance. Here, hierarchy is minimal and teams are small and talent-dense. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other.

For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate.

A few examples of your responsibilities

• Build AI-powered product experiences. Work with product teams to identify high-impact opportunities where AI can transform the user experience for millions—and then build these transformative solutions. Drive the process from possibility to production, delivering code that’s robust, reproducible, and built for scale.
• Amplify your impact with AI. Integrate the most powerful AI tools directly into your development workflow—design, implementation, testing, and documentation—to move faster while maintaining high standards for correctness, reliability, and maintainability.
• Master your toolkit. Work across diverse stacks with end-to-end ownership, choosing the right technologies for each challenge. From monoliths to microservices, gRPC to REST, Kubernetes to Docker, Python to Rust—you’ll apply technologies thoughtfully, focusing on depth and purpose rather than trends.
• Build software that matters. Take real ownership from idea to production, creating systems used by millions and evolving them into products at scale.
• Simplify relentlessly. Question every layer of complexity. Improve architectures, pipelines, and codebases to build systems that are simpler, more scalable, and easier to maintain.
  
  

What we look for

• Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
• Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
• Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
• Proficiency in English. You read, write, and speak proficiently in English.
  
  

What we offer

• Incredibly talented, entrepreneurial teams. You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
• An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too.
• All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.
• A flexible start date and part-time options. You don't need to wait until graduation to apply. We offer flexible start dates and the possibility to begin part-time, transitioning to full-time as you complete your degree. Many Spooners joined before graduating and progressively took on greater responsibility, with arrangements that allowed them to do so without compromising their education.
• Competitive pay and access to company equity at a discounted price. Typically, we offer individuals with limited experience an annual salary of £85,797 in London and €66,065 elsewhere in Europe. For a candidate that we assess as possessing considerable relevant experience, the salary on offer tends to be between £112,189 and £250,512 in London, and €107,837 and €188,848 elsewhere in Europe. Compensation varies by location and expected impact, and grows rapidly as you gain experience and translate it into greater contributions. For individuals who demonstrate exceptional capability, we may offer compensation that extends beyond the usual ranges to reflect their higher expected impact. If you're offered a permanent contract, you'll also be able receive some of your pay in company equity at a discounted price, thus participating in the value creation we achieve together. If relocating to Italy, you may enjoy a 50% tax cut.
  
  

Commitment & contract
Permanent or fixed-term. Full-time.

Location
Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland), or fully remote from eligible countries.

The selection process
In our screening process, we prioritize verifiable signals of excellence, regardless of seniority. There are no preferential paths beyond what your application demonstrates, and we evaluate every candidate through the same process.

Some people hold back because they feel they lack experience or have an “imperfect” CV. If you like the role and believe you could excel over time, don’t self-reject.

All applications go through our careers page, which is the only way to be considered. If you pass our screening, you’ll be asked to complete one or more tests. They are challenging, may involve unfamiliar problems, and can take several hours. To learn more about what to expect throughout the selection process, you can find additional information here.

We set the bar high and won’t extend an offer until we’re confident we’ve found the right candidate. This is why a job may remain open for months or be reposted several times.

We consider all applicants for employment and provide reasonable accommodations for individuals with disabilities—please let us know through this form.

Before you apply
If you’ve applied before but didn't receive an offer, we recommend waiting at least one year before applying again.

Bending Spoons is a demanding environment. We’re extremely ambitious and we hold ourselves—and one another—to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment.

To help you ramp up quickly and set yourself up for success, we expect you to spend most days in our Milan office during your first few months with us, regardless of your long-term work location. It’s the best way to rapidly absorb our company culture and build trust with your new teammates. We’ll support you with generous travel and accommodation assistance. After that, you’re welcome to work from one of our offices, or remotely from approved countries—depending on what we agree at the offer stage.

If the role speaks to you and you’re excited to give your best, we’d love to hear from you. Apply now—we can’t wait to meet you.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada12 jul.

Teletrabajo . Python Docker Kubernetes Microservices REST gRPC Excel Office

At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards.

In pursuit of this objective, we acquire and improve digital businesses, not to sell on, but to own and operate for the long term. The transformations we make are often deep—designed to speed up innovation, benefit customers, and strengthen business performance. Here, hierarchy is minimal and teams are small and talent-dense. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other.

For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate.

A few examples of your responsibilities

• Build AI-powered product experiences. Work with product teams to identify high-impact opportunities where AI can transform the user experience for millions—and then build these transformative solutions. Drive the process from possibility to production, delivering code that’s robust, reproducible, and built for scale.
• Amplify your impact with AI. Integrate the most powerful AI tools directly into your development workflow—design, implementation, testing, and documentation—to move faster while maintaining high standards for correctness, reliability, and maintainability.
• Master your toolkit. Work across diverse stacks with end-to-end ownership, choosing the right technologies for each challenge. From monoliths to microservices, gRPC to REST, Kubernetes to Docker, Python to Rust—you’ll apply technologies thoughtfully, focusing on depth and purpose rather than trends.
• Build software that matters. Take real ownership from idea to production, creating systems used by millions and evolving them into products at scale.
• Simplify relentlessly. Question every layer of complexity. Improve architectures, pipelines, and codebases to build systems that are simpler, more scalable, and easier to maintain.
  
  

What we look for

• Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
• Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
• Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
• Proficiency in English. You read, write, and speak proficiently in English.
  
  

What we offer

• Incredibly talented, entrepreneurial teams. You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
• An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too.
• All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.
• A flexible start date and part-time options. You don't need to wait until graduation to apply. We offer flexible start dates and the possibility to begin part-time, transitioning to full-time as you complete your degree. Many Spooners joined before graduating and progressively took on greater responsibility, with arrangements that allowed them to do so without compromising their education.
• Competitive pay and access to company equity at a discounted price. Typically, we offer individuals with limited experience an annual salary of £85,797 in London and €66,065 elsewhere in Europe. For a candidate that we assess as possessing considerable relevant experience, the salary on offer tends to be between £112,189 and £250,512 in London, and €107,837 and €188,848 elsewhere in Europe. Compensation varies by location and expected impact, and grows rapidly as you gain experience and translate it into greater contributions. For individuals who demonstrate exceptional capability, we may offer compensation that extends beyond the usual ranges to reflect their higher expected impact. If you're offered a permanent contract, you'll also be able receive some of your pay in company equity at a discounted price, thus participating in the value creation we achieve together. If relocating to Italy, you may enjoy a 50% tax cut.
  
  

Commitment & contract
Permanent or fixed-term. Full-time.

Location
Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland), or fully remote from eligible countries.

The selection process
In our screening process, we prioritize verifiable signals of excellence, regardless of seniority. There are no preferential paths beyond what your application demonstrates, and we evaluate every candidate through the same process.

Some people hold back because they feel they lack experience or have an “imperfect” CV. If you like the role and believe you could excel over time, don’t self-reject.

All applications go through our careers page, which is the only way to be considered. If you pass our screening, you’ll be asked to complete one or more tests. They are challenging, may involve unfamiliar problems, and can take several hours. To learn more about what to expect throughout the selection process, you can find additional information here.

We set the bar high and won’t extend an offer until we’re confident we’ve found the right candidate. This is why a job may remain open for months or be reposted several times.

We consider all applicants for employment and provide reasonable accommodations for individuals with disabilities—please let us know through this form.

Before you apply
If you’ve applied before but didn't receive an offer, we recommend waiting at least one year before applying again.

Bending Spoons is a demanding environment. We’re extremely ambitious and we hold ourselves—and one another—to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment.

To help you ramp up quickly and set yourself up for success, we expect you to spend most days in our Milan office during your first few months with us, regardless of your long-term work location. It’s the best way to rapidly absorb our company culture and build trust with your new teammates. We’ll support you with generous travel and accommodation assistance. After that, you’re welcome to work from one of our offices, or remotely from approved countries—depending on what we agree at the offer stage.

If the role speaks to you and you’re excited to give your best, we’d love to hear from you. Apply now—we can’t wait to meet you.