Ofertas de empleo para Desarrollo de Software

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Teletrabajo Agile Azure Jenkins Linux Cloud Coumputing Kubernetes Ansible Git OpenShift AWS Bash ITIL Docker

At Crossvale, we are passionate about delivering technology solutions that make a lasting impact. Our culture is built on collaboration, ownership, and a culture of continuous learning. As part of our Agile team, you will work directly with customers to resolve incidents, fulfill service requests, and contribute to projects that evolve alongside the industry. We use ITIL as a tool—not a crutch—and encourage every team member to improve processes for efficiency, correctness, and value.

Suppose you’re motivated to learn, eager to work with cutting-edge technologies like Kubernetes and OpenShift in production environments, and want a clear growth path with certifications supported and paid by Crossvale. In that case, we’d love to hear from you.

What You’ll Be Doing

• Resolving incidents, customer escalations, and service requests
• Regular training on current and future technologies - dedicated time will be provided
• Cluster updating and patching across Kubernetes and OpenShift
• Monitoring cloud infrastructure, identifying efficiency gains, and service improvements
• Supporting all aspects of Change Management
• Taking initiative on project work and automation efforts
• Enhancing documentation, processes, and reporting
• Spotting and acting on trends in daily checklists
• Driving innovation in tooling and service delivery
  
  
  
  

• Linux: RHEL
• Containers & Orchestration: OpenShift, Kubernetes, EKS
• CI/CD: Jenkins, Git, Nexus, ArgoCD
• Automation & Scripting: Ansible, Bash, Python/Shell scripting
• Cloud Platforms: Azure, AWS, GCP
• Monitoring & Observability: Prometheus, Grafana, Loki
  
  
  
  

• Certified Kubernetes Administrator (CKA)
• Certified Kubernetes Application Developer (CKAD)
• Certified Kubernetes Security Specialist (CKS)
• Red Hat Certified System Administrator (RHCSA)
  
  
  
  

• Competitive salary
• 100% remote work
• 23 days PTO
• Company-paid health insurance
• Pension plan
• Fully funded training and certifications
  
  
  
  

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Python TSQL Power BI

En Solarig, llevamos 20 años transformando el panorama energético global con un propósito claro: descarbonizar la sociedad y construir un futuro sostenible.

Somos una empresa global especializada en el desarrollo, financiación, construcción y operación de proyectos de energía renovable a gran escala, abarcando:

🌞 Energía solar, eólica y almacenamiento – Diseñamos y gestionamos proyectos fotovoltaicos, integrando soluciones de hibridación tecnológica y baterías, garantizando una transición energética eficiente y rentable.

♻️ Combustibles sostenibles y biometano – Con Biorig, impulsamos proyectos de producción de biometano y gases verdes. Además, desarrollamos combustibles de aviación sostenibles (SAF), una solución clave para la descarbonización del sector aéreo.

🌍 Presencia global, impacto local – Estamos en 12 países, con operaciones clave en Europa, América Central y del Sur, Japón y Australia.

💡 Innovación, sostenibilidad y talento – El equipo que impulsa nuestro éxito está formado por más de 1.500 personas, y nuestra certificación como Great Place to Work refleja nuestro compromiso con su desarrollo y bienestar.

🚀 ¡Súmate a nuestro crecimiento! Estamos en constante expansión y buscamos personas que compartan nuestro propósito y quieran aportar valor como Data Engineer a nuestro equipo de Data&Transformation.

Entre las funciones que realizarás con nosotros, destacan:

• Diseñar y desarrollar procesos de ingesta y transformación de datos, principalmente en SQL y Python.
• Conectar nuevas fuentes de datos internas y externas mediante APIs u otros mecanismos de integración.
• Colaborar con analistas de negocio y equipos de BI para estructurar datasets que faciliten reportes, dashboards y modelos analíticos.
• Monitorear y garantizar la calidad, integridad y disponibilidad de los datos en los diferentes entornos.
• Colaborar en la implementación de soluciones en Microsoft Fabric y otras plataformas de datos.
• Apoyar en el diseño de reportes y visualizaciones básicas que aporten valor al negocio.
• Promover el uso eficiente y seguro de los datos, alineado a las políticas y estándares corporativos

Requisitos

• Entre 1 y 3 años de experiencia en proyectos de ingeniería de datos, integración de fuentes o business analytics.
• Experiencia en SQL (consultas complejas, optimización de queries) y Python (scripts ETL, librerías de manejo de datos como Pandas).
• Conocimiento en conexión de APIs y flujos de datos.
• Valorable: experiencia en Microsoft Fabric, Power BI o plataformas de integración de datos.

Te ofrecemos:

• Retribución flexible: Saca más rentabilidad a tu salario eligiendo los productos de nuestro plan que más se adapten a ti (comida, transporte, guardería, seguro de salud, cupones de descuento). ☕️ 🍴🚅
• Tendrás jornada intensiva los viernes y verano, así como flexibilidad horaria para ayudarte a conciliar entre tu vida personal y laboral. ⌚️
• PAE. Ofrecemos a las personas trabajadoras asistencia psicológica, legal y financiera.
• Trabajar en una empresa socialmente responsable, con posibilidad de colaborar con iniciativas para preservar el medio ambiente y promover la integración social. 🌋 ⛺️ 🌄

Somos una compañía que ofrece igualdad de oportunidades y valoramos la diversidad en nuestra empresa. No discriminamos por motivos de raza, religión, color, origen nacional, género, orientación sexual, edad, estado civil o discapacidad.

Además, integramos criterios de sostenibilidad en nuestros procesos de selección, promoviendo decisiones responsables, éticas y alineadas con nuestro compromiso con el desarrollo sostenible.

Visita nuestra web: https://solarig.com/

Síguenos en LinkedIn: https://www.linkedin.com/company/solarig/mycompany/verification/?viewAsMember=true

No te pierdas la información sobre nuestra división de producción de biometano: Biorig: https://biorig.energy/

¿Te sumas al reto de crecer personal y profesionalmente en nuestro equipo? 🚀💥

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React Javascript Java Agile Bootstrap Azure Scrum Angular Cloud Coumputing Elasticsearch Oracle AWS Machine Learning

Job Description

Oracle Health is developing patient-and provider-centric solutions rapidly and securely. We use the value of Oracle Cloud Infrastructure (OCI) to our customers as we work across patient, provider, payor, public, population health and life science industries. At OH (Oracle Health), you will work with authorities across industries and have access to the latest technology. We apply artificial intelligence, machine learning, large language models, learning networks, and other data intelligence and analytics in an applied way, embedded into our solutions.

This is a greenfield opportunity to design and build new cloud centric applications from the ground up. We are growing fast and working on ambitious new initiatives. An engineer at any level can have significant technical and business impact here. You will be part of a team of smart, motivated, diverse people, and given the autonomy as well as support to do your best work. It is a dynamic and flexible workplace where you´ll belong and be encouraged.

Who are we looking for?

We are looking for full-stack engineers with distributed systems experience. You should have experience with the design of major features and launching them into production. You´ve operated or supported high-scale services and understand how to make them more resilient. You work on most projects and tasks independently.

You are technically strong and get a lot done - you´ve worked on highly available, scalable, and redundant services. You´ve built rich tools and web apps for use by your team and other internal customers. You have experience with tools like Splunk, Elasticsearch, Logstash, and Kibana. You understand that simple systems are easier to operate and fix. You can balance speed and quality with iteration and incremental improvements. You´ve made life easier for other developers and have motivated your teams to make both process and service improvements with your ability to automate and instrument properly to get the right data. You understand operational excellence and how to instill a culture of being dedicated with your teammates.

The person in this role will supply key features and improvements.

What are the biggest challenges for the team?

Scalability, performance and availability. The growth of the business is driving us to improve the ability of our systems to scale out and handle traffic patterns that are several orders of magnitude greater than what we can support today. This is generating a lot of data. As we operate our services and serve more customers, we need the ability to quickly and accurately find log and performance information. Ideally, this would be self-service for our customers.

We understand that software is living and needs investment. The challenge is making the right trade-offs, communicating those decisions effectively, and crisp execution.

Career Level - IC3

Responsibilities

Qualifications
- 4+ years of full-stack software development experience
- Experience working with modern JavaScript libraries and frameworks such as React, Angular, and Bootstrap
- Hands-on experience building and operating tools and dashboards with large data pipelines
- Experience driving security reviews, preparing documentation, conducting UX reviews, and collaborating with Product Managers throughout the entire launch process
- Experience developing customer-focused architectures and RESTful web services
- Working knowledge of Java or similar object-oriented languages
- Experience with at least one scripting language for automating tasks, prototyping, or developing command-line tools

Preferred Qualifications
- Hands-on experience developing services on a public cloud platform (e.g., AWS, Azure, Oracle)
- Experience working with large volumes of data and logging
- Experience using AI tools, such as Cline or GitHub Copilot, for development
- Experience with Micronaut or similar frameworks
- Understanding of key performance indicators and analytical approaches to investigate them
- Experience with and understanding of multi-AD/AZ and regional data centers
- Experience building continuous integration and deployment pipelines with robust testing and deployment schedules
- Experience working with internal customers and translating requests into prioritized work or features
- Familiarity with Agile methodologies, specifically Scrum
- Self-driven and able to work independently on projects as well as lead team initiatives
- Adaptable and able to pivot priorities as projects develop
- Excited about technology, with a passion for learning the latest technologies and building compelling web applications and UIs
- Strong communication skills, including cross-team collaboration

Qualifications

Career Level - IC3

About Us

As a world leader in cloud solutions, Oracle uses tomorrow´s technology to tackle today´s challenges. We´ve partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That´s why we´re committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

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Python Agile Kubernetes Spark Machine Learning

We are seeking an experienced Data Science / Machine Learning Engineering Lead to join our team and drive the development of advanced ML/AI capabilities. You will lead a team of Data Scientists / ML Engineers, focusing on building and deploying cutting-edge machine learning solutions using our modern ML infrastructure including Anthropic, OpenAI, and self-hosted LLMs.
- Team Leadership & Management
- Lead, mentor, and develop a team Data Scientists, Data Engineers, ML Engineers
- Conduct regular 1:1s, performance reviews, and career development planning
- Foster a collaborative, innovative team culture focused on continuous learning
- Coordinate work allocation and ensure timely delivery of projects
- Facilitate knowledge sharing and best practices across the team

- Technical Leadership
- Design and implement scalable ML model training pipelines using modern toolset (e.g MLflow, Comet, Langfuse, WandB, Trino, dbt, Spark, Flink, etc)
- Lead fine-tuning initiatives for both commercial (Anthropic Claude, OpenAI GPT) and open-source LLMs
- Utilise self-hosted LLM infrastructure using Ray, AIBrix, and vLLM for optimal performance and cost efficiency with Lora/QLora
- Architect and oversee model continous validation frameworks within our ecosystem
- Develop real-time anomaly detection systems leveraging for streaming data processing
- Build predictive models for system performance, usage patterns, and automation workflow optimization
- Establish ML engineering best practices for model versioning, monitoring, and deployment on Kubernetes
- Creation of eval, validation and metrics pipelines for models during training and inference

- Strategic Initiatives
- Optimize the balance between commercial APIs (Anthropic, OpenAI) and self-hosted models for different use cases
- Partner with product and engineering teams to identify high-impact ML opportunities
- Define the team´s technical roadmap aligned with company objectives
- Drive adoption of state-of-the-art ML techniques and tools
- Contribute to infrastructure decisions for scaling our ML platform

- Operational Excellence
- Implement robust CI/CD pipelines for ML models in Kubernetes environments
- Monitor model performance using MLflow tracking and implement drift detection
- Manage Flink jobs for real-time feature engineering and anomaly detection
- Document processes, architectures, and decision rationale

Requirements
Qualifications / Experience / Technical Skills
- Education & Experience
- Master´s or PhD in Computer Science, Machine Learning, Statistics, or related field
- 10+ years of hands-on experience in data science/machine learning
- 5+ years of experience leading technical teams
- Proven track record of deploying ML & LLM models to production at scale

- Technical Skills
- Deep expertise in Python and ML frameworks (PyTorch, TensorFlow)
- Extensive experience with commercial LLM APIs (Anthropic Claude, OpenAI GPT-4)
- Strong proficiency with MLflow for experiment tracking and model management
- Experience with distributed computing using Apache Spark
- Proficiency with Apache Flink for stream processing and real-time ML
- Knowledge of LLM fine-tuning techniques (LoRA, QLoRA, full fine-tuning)
- Expertise in anomaly detection algorithms and time series analysis

- Leadership Skills
- Demonstrated ability to lead and inspire technical teams
- Strong communication skills to translate complex technical concepts to stakeholders
- Experience with agile development methodologies
- Track record of successful cross-functional collaboration
- Ability to balance technical excellence with business pragmatism

Soft Skills / Personal Characteristics
- Experience with AIBrix, vllm or similar ML platform solutions
- Experience with AI code generation and anonymisation pipelines
- Knowledge of advanced prompting techniques and prompt engineering
- Experience building RAG (Retrieval Augmented Generation) systems
- Background in building ML platforms or infrastructure
- Familiarity with vector databases (Pinecone, Weaviate, Qdrant)
- Experience with model security and responsible AI practices
- Contributions to open-source ML projects

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Teletrabajo Cloud Coumputing Agile

💼 ¡Buscamos Desarrollador/a Mulesoft – Nivel Senior!

📌 Ref: MD_26082025
📅 Entrevistas: Septiembre - Octubre
🚀 Inicio previsto: Finales de noviembre o principios de diciembre
🌍 Ubicación: Remoto

¿Tienes experiencia en Mulesoft (2-3 años) y estás buscando un nuevo reto profesional internacional?

Estamos ampliando equipo con perfiles senior (pero no expertos) para participar en proyectos de integración con MuleSoft en un entorno dinámico y con proyección internacional.

✅ Requisitos:

2 a 3 años de experiencia trabajando con MuleSoft Anypoint Platform

Buen nivel de inglés (imprescindible) para trabajar con equipos internacionales

Nivel de español valorado positivamente

Capacidad de trabajo autónomo y en equipo

Buenas prácticas de desarrollo y documentación

👉 Si encajas con este perfil y estás disponible para entrevistas entre septiembre y octubre, ¡nos encantaría conocerte!

🔎 ¿Te interesa?

🔗 Envía tu CV actualizado

#MuleSoftDeveloper #MuleSoft #APIIntegration #RemoteJobs #TechJobs #HiringNow #DesarrolladorMuleSoft #OfertasTI #TrabajoRemoto #EmpleoTecnológico #IntegraciónDeSistemas #AnypointPlatform

¿A qué nos comprometemos?

Formación continua.
Impulsaremos tu Talento con un Plan de Desarrollo Profesional y Programas de Tutoría individualizada.
Completo Programa de formación que incluye desde programas de especialización técnica hasta idiomas, habilidades en gestión de proyectos, metodologías ágiles y certificaciones. Tanto on-line como presencial.
Políticas de conciliación como el Teletrabajo en modo full-remote; jornada continua los viernes y en verano, flexibilidad horaria, días de permiso en navidad, y facilidades para la movilidad geográfica de los empleados.
Beneficios sociales como retribución flexible, complemento al 100% de bajas médicas, condiciones especiales en seguro médico privado o Tarjeta VISA empleados.

Nuestra empresa es hoy referencia en entorno Cloud, participando en varios proyectos de investigación a nivel europeo, y con muchos más proyectos sobre los que podrás diseñar una trayectoria profesional a largo plazo. Aplica y nos conoceremos

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Teletrabajo

• Multinacional de medical devices.
• Posición FULL REMOTE internacional.

¿Dónde vas a trabajar?

Nuestro cliente es una organización de gran tamaño dentro del sector de Life Science, conocida por su enfoque en la innovación tecnológica y su contribución al desarrollo de soluciones avanzadas.

Descripción

• Implementar y gestionar herramientas y procesos de seguridad informática en el entorno de tecnología.
• Monitorizar y responder a incidentes de seguridad en tiempo real.
• Colaborar con otros equipos para garantizar la protección de datos sensibles.
• Auditar y evaluar la infraestructura tecnológica para identificar posibles vulnerabilidades.
• Desarrollar y mantener políticas y procedimientos de seguridad.
• Proporcionar formación y soporte técnico en seguridad al personal interno.
• Participar en la creación de estrategias de ciberseguridad a largo plazo.
• Realizar informes periódicos sobre el estado de la seguridad informática.

¿A quién buscamos (H/M/D)?

El/la candidato/a seleccionado deberá cumplir los siguientes requisitos:

• Formación en Ingeniería Informática, Ciberseguridad o áreas relacionadas.
• Conocimientos avanzados en herramientas de seguridad informática y gestión de incidentes.
• Experiencia previa en entornos tecnológicos relacionados con el sector de Life Science.
• Capacidad para trabajar en equipo y colaborar con diferentes departamentos.
• Nivel de inglés avanzado, tanto oral como escrito.
• Conocimientos en normativas y estándares de ciberseguridad.

¿Cuáles son tus beneficios?

• Contrato indefinido en una empresa de gran prestigio en el sector de Life Science.
• Posibilidad de desarrollo profesional y acceso a formación continua.
• Ambiente laboral colaborativo y enfocado en la innovación tecnológica.
• Ubicación en San Agustín del Guadalix, con fácil acceso y buenas conexiones.
• Beneficios adicionales como seguro de salud y días de vacaciones adicionales

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Java TSQL HTML Desarrollo de software Investigación Diseño asistido por ordenador (CAD) Aerolíneas Aeronáutica Materiales compuestos Aerodinámica ERP Office

GAZC is a leading manufacturing company experiencing significant growth that requires active recruitment in a variety of areas.

GAZC offers career development for talented individuals in a dynamic, motivated and challenging environment.

GAZC selects for its facilities located in Getafe a Junior Aeronautical Process Engineer to be part of the Engineering Department.

The successful candidate should be familiar with the following competencies to perform well.

• Documentary management,
• Change management,
• Preparation of verification instructions,
• Elaboration of technical offer/manufacturing documents,
• Incident management with the supply chain.

Advanced level of English.

Office package, positive assessment of knowledge of ERP AX.

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Python TSQL Fintech Machine Learning Office

Location: Barcelona, in-office

At SumUp, we are passionate about giving access to financial services to the millions

of businesses too small for most providers to consider.

What started as one card reader has turned into a range of readers and multiple remote payment solutions, as well as banking services, including Business Accounts and Loans.

As a Data Scientist in the Lending Tribe, you will play with a huge dataset with billions of transactions from millions of active users. From there, you will build impactful models to help businesses across multiple countries get access to credit through SumUp’s different lending products. You’ll be part of a team of talented analysts, engineers, and other scientists using an advanced stack of tools to create innovative solutions for our products.

What You Will Do

• Improve the core lending models: credit risk scoring and affordability forecasting models using machine learning solutions
• Define data collection strategies and new algorithms for models to support expansion to new market segments
• Perform analyses and present your insights to enable SumUp business teams to make data-driven, mission-critical decisions (DROP)
• Communicate and present results to product and business stakeholders
• Mentor other Data Scientists to pursue data science excellence through good engineering practices
• Build production-grade ML solutions using Python, scikit-learn, LightGBM, and PySpark—delivered with testing, monitoring, and reproducibility baked in
• Navigate and improve legacy code and pipelines—refactor without fear, stabilise what’s brittle, and raise engineering standards across the board
• Clearly communicate trade-offs and model performance to both technical and business stakeholders
  
  

• Solid understanding of Data Science
• Deep Python skills, including experience with (pandas, scikit-learn)
• Solid SQL knowledge
• Mastery of statistics, machine learning, and probability theory
• Proven track record in delivering solutions end-to-end
• Experience deploying machine learning models and artifacts in production at scale
• Excellent technical reading, writing and communication skills to support stakeholder management
  
  

• Hands-on experience building or maintaining credit risk models in regulated environments
• A background in software engineering—you think in modules, write testable code, and care about long-term maintainability
• Experience launching models in data-constrained or new market environments
• A degree in a quantitative field: Data Science, Statistics, Mathematics, Computer Science, Economics, or similar
  
  

• Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup
• Restaurant tickets (powered by Edenred)
• Commitment to Diversity and Inclusion: Be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced
• A dedicated annual L&D budget of €2000 for attending conferences and/or advancing your career through further education
• 30 Days Sabbatical: Enjoy the unique opportunity to take a well-deserved break with our 30 days sabbatical benefit after completing 3 years of employment with SumUp
• Referral Bonus: Earn additional rewards by referring talented individuals to join the SumUp team
  
  

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QA Office

Anchor Point Studios, a global game studio under NetEase Games, was founded by veteran game designer Paul Ehreth in October 2022. Fueled by a world-class team of developers, Anchor Point Studios is passionate about creating immersive and engaging console and PC action games. We seek to push the boundaries of entertainment in extraordinary ways, developing experiences that are both memorable and timeless.

With locations in Barcelona and Seattle, Anchor Point Studios is actively hiring developers, artists, designers, and more for office, hybrid, and remote roles.

QA Tester

Full Time in office role

Anchor Point Studios

Barcelona based studio,

AAA



About the Role:

We are Anchor Point Studios and we're looking for a QA Tester to help us build the future of mind-blowing video game entertainment for a new, innovative 3D action title.Please note that this position is full time in our office.

What You'll Do:

• Discover and report bugs and issues with clear reproduction steps in the database
• Ensure defect fixes through regression testing
• Create, maintain, and execute test cases, plans, and procedures
• Work together within a team with other specialties, as well as QA peers and Leads
• Contribute and share knowledge of test proficiencies to optimize team effectiveness
• Review documents, requirements, and specifications to provide feedback
• Provide User Experience feedback
• Perform other tasks at the discretion of the QA Lead
• Become a domain expert on the area of the game you are assigned to
• Stay up-to-date with industry trends and new technologies in video game testing.
  
  

• Previous experience in testing games
• Love playing games with interests in many different genres and a passion for developing high-quality experiences.
• Keen attention to detail
• Ability to work independently & autonomously, as well as part of a team.
• Strong problem-solving and analytical skills
• Working knowledge of bug databases and test case management software
• Proficient with perforce or similar source control solutions
• Technically proficient and able to learn new systems quickly
• Strong written and verbal communication skills,
• Experience with Unreal Engine is highly desired but not required.