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Seeking a Data Analyst proficient in French, Python, and SQL to perform data analytics, identify trends, and create reports for complex business problems within a multicultural team.

Overview In this role, you will design, build, and operate scalable, high-performance systems that power data-driven AI workflows for finance. You will collaborate with data scientists, product managers, and engineers to deliver technically sophisticated solutions that align with our GenAI platform. You will tackle complex backend and data engineering challenges, shaping how financial data is ingested, processed, and served. This is an opportunity to influence the growth of a fast-paced, innovative AI data platform with real-world impact. Compensaciones / Beneficios • Hybrid work arrangement, • Competitive salary, • Continuous learning, • Innovation culture, • Shuttle bus Málaga, • Diversity and international environment Responsabilidades, • Architect, develop, and maintain scalable backend systems for data-driven solutions, • Design and implement high-throughput ETL/ELT pipelines for structured and semi-structured data, • Lead workflow automation using tools like Apache Airflow or AWS Step Functions, • Build and maintain high-concurrency REST and MCP APIs, • Design and deploy AWS infrastructure supporting end-to-end apps (Serverless and Containerized), • Champion clean, tested, and maintainable code with strong CI/CD and performance tuning, • Implement full-stack observability with tools like Datadog for high availability and rapid incident response Requisitos principales, • Bachelor's or Master's degree in a technical field (PhD preferred but not required), • 5+ years of software engineering experience, • Proficiency in Python, • Experience designing REST APIs, • Familiarity with relational and NoSQL databases (Postgres, Oracle, DynamoDB, Time-series, Snowflake), • Proven ETL/ELT pipeline development and scaling, • Hands-on AWS experience (S3, Lambda, etc.), • Bash scripting, Docker containerization, Git, • Strong communication and cross-functional collaboration in English, • Strong communication skills, • Cross-functional collaboration, • Ability to convey complex ideas clearly in English, • Python, • REST API development, • APIs like MCP (Model Context Protocol)

Hands-on HA solutions: Patroni, PgBouncer, Galera Cluster, or MySQL InnoDB Cluster/Group Replication.

Hands-on HA solutions: Patroni, PgBouncer, Galera Cluster, or MySQL InnoDB Cluster/Group Replication.

Buscamos un Desarrollador Full Stack con experiencia para diseñar, construir y mantener aplicaciones web completas en un entorno remoto. Deberás colaborar con equipos multifuncionales y tener habilidades en desarrollo backend y frontend, bases de datos y control de versiones.

Department: Technology Employment Type: Full Time Location: Marbella Reporting To: Stefan Cirillo We are looking for a highly skilled and motivated individual to assume the role of Infrastructure Team Lead within the Shared Technology Services department. As an Infrastructure Team Lead, you will play a pivotal role in overseeing the design, implementation, and maintenance of our IT infrastructure, encompassing both cloud-based and on-premises solutions, with a specific focus on Kubernetes environments. This position requires a strategic thinker with strong leadership qualities, technical expertise, and the ability to drive the team towards operational excellence. • Leadership & Mentorship: Lead, mentor, and resource the infrastructure team to foster a high-performance culture and hit project targets., • Architecture & Planning: Design scalable hybrid roadmaps and Kubernetes-centric system architectures aligned with business goals., • Automation & CI/CD: Drive Infrastructure as Code (IaC) and CI/CD automation using Ansible and Terraform to streamline deployments., • Operations & Reliability: Maintain performance, monitoring, and uptime across physical servers, networks, storage, and Kubernetes clusters; manage incident response and off-hours maintenance., • Security & Compliance: Partner with InfoSec to enforce security controls, run risk assessments, and maintain audit readiness., • Vendor Management: Evaluate third-party tools and manage technology partner relationships to ensure strict SLA compliance., • Operational Leadership & Governance: Proven experience leading infrastructure or operations teams, with a track record of establishing key operational metrics (e.g., MTTR/MTTD, uptime SLAs, cloud spend optimization, and incident response frameworks)., • Project & Workflow Management: Exceptional organizational, resource-allocation, and project management skills to lead complex technical initiatives from inception to delivery., • Hybrid Infrastructure & Automation: Deep knowledge of on-premises hardware (physical servers, SAN/NAS storage, enterprise networking) combined with expertise in Infrastructure as Code using Terraform and Ansible ., • Cloud & OS Mastery: Hands-on experience architecting and administering multi-cloud environments (AWS, Azure, GCP) across both Linux and Windows operating systems., • Kubernetes & Cloud: CKA, CKAD, CKS, or AWS/Azure/GCP Solutions Architect., • Linux, Systems & Virtualization: RHCSA/RHCE, LPIC, VMware VCP-DCV, or legacy MCSA/MCSE., • Networking & IT Management: CCNA/CCNP or ITIL Foundation/Practitioner., • Great career development opportunities, • Hybrid working model, • International Health Insurance, • Health and Wellbeing Package (350 EUR per year), • Birthday Day Off, • Me Time - 1 day off per year #J-18808-Ljbffr

Gaming Innovation Group in Marbella is seeking an experienced Infrastructure Team Lead to oversee the design, deployment and maintenance of hybrid IT infrastructure with a Kubernetes focus.You will drive best practices and mentoring across the team to deliver reliable, scalable systems.You will lead

About the Opportunity This is not a traditional Data Architect role focused on reporting or modelling.My client is looking for someone who enjoys designing large-scale cloud-native data platforms, defining architectural standards, and solving complex platform challenges across distributed systems.Hy

AI & Data Architecture: Experience integrating AI/ML and Generative AI solutions (Azure OpenAI, LangChain, RAG), supported by modern data platforms (NoSQL, vector databases, PostgreSQL) and caching technologies (Redis). Run customer discovery workshops and technical briefings, translating busine

Buscamos un/a Lead AI / LLM Engineer para incorporarse a un producto software B2B propio, utilizado por grandes compañías del sector asegurador, donde la IA está integrada en el core del producto, no como PoC.Entrarás en un equipo de ingeniería maduro, trabajando en squads multidisciplinares junto a Producto, QA y DevOps, con ownership real sobre la arquitectura, la calidad y la evolución de las soluciones de IA en producción.¿Cuál será tu impacto?Diseñar y liderar arquitecturas de IA/LLMs en producción.Construir y evolucionar sistemas basados en LLMs (RAG, agentes, flujos complejos).Definir estándares de calidad, MLOps / LLMOps y buenas prácticas.Asegurar escalabilidad, resiliencia y observabilidad de los modelos.Trabajar estrechamente con Producto para convertir problemas de negocio en soluciones técnicas.Actuar como referente técnico del equipo, sin necesidad de gestión formal de personas.Mentorizar a otros ingenieros y elevar el nivel técnico del área de IA.¿Qué buscamos?Perfil Senior / Lead con base sólida en ingeniería de software.Experiencia real diseñando y desplegando soluciones de IA en producción.Dominio de Python y desarrollo orientado a calidad (testing, mantenibilidad).Experiencia con LLMs (RAG, pipelines de inferencia, evaluación).Conocimiento de cloud (preferiblemente AWS), Docker y CI/CD.Mentalidad de producto y criterio arquitectónico.Inglés B2 sólido para reuniones técnicas.¿Qué ofrecemos?100% remotoContrato en plantilla (producto propio, sin subcontratación)Salario: 50.000 – 65.000 €Rol estratégico con impacto real en roadmap y productoCultura técnica madura, foco en calidad y autonomía

About usAt Raven Pack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are launching a new suite of Gen AI and Saa S services, designed specifically for financial professionals.Join a Company that is Powering the Future of Finance with AIRaven Pack has been recognized as the Best Alternative Data Provider by Waters Technology and has been included in this year’s Top 100 Next Unicorns by Viva Technology. Raven Pack has launched Bigdata, our Gen-AI platform tailored for finance, which is already being recognized as the #1 platform for powering financial AI agents.European legal working status is required.We´re looking forWe are seeking an experienced and innovative Senior Software Engineer to join our dynamic team. This role offers a unique opportunity to contribute to the development of cutting-edge AI agentic workflows and pioneering data-driven solutions. You will be at the forefront of designing, building, and deploying scalable, high-performance systems that enable our organization to unlock the full potential of data innovation.As a Senior Software Engineer, you will work closely with multidisciplinary teams, including Data Scientists, Product Managers, and other Engineers, to deliver technically sophisticated and strategically aligned solutions. This position is ideal for someone who thrives in a fast-paced, collaborative environment, where their expertise will play a key role in tackling complex challenges, driving innovation, and shaping the future of data-driven solutions in our organization.Responsibilities System Design & Development: Architect, develop, and maintain scalable, high-performance systems that serve as the backbone for data-driven solutions and robust backend applications.Data Pipeline Engineering: Design and implement high-throughput ETL/ELT pipelines for structured and semi-structured data, ensuring seamless ingestion, processing, and data integrity.Workflow Orchestration: Lead the automation of complex data and application lifecycles using orchestration tools like Apache Airflow or AWS Step Functions.API & Backend Services: Build and maintain high-concurrency REST and MCP (Model Context Protocol) APIs, bridging the gap between data layers and front-facing applications.Infrastructure & Deployment: Design and deploy the necessary AWS infrastructure to support end-to-end applications, leveraging a mix of Serverless (Lambda) and Containerized (Docker/ECS) technologies.Code Excellence: Champion clean, efficient, and maintainable codebases by enforcing industry best practices, including comprehensive testing, version control, and performance tuning.Production Observability: Implement and manage a full-stack observability suite (e.G., Datadog) to ensure high availability, proactive monitoring, and rapid incident response. Requirements Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field (Ph. D. preferred but not required).5+ years of experience in software engineering.Proficiency in PythonAPI Development: Proven experience in the design and development of REST APIsDatabase Versatility: Familiarity with a wide range of database technologies, including Relational (Postgres, Oracle), No SQL (Dynamo DB), Time-series, and Cloud Data Warehouses (Snowflake).ETL/ELT Development: Proven experience building and scaling production data pipelines. You should be highly proficient with core AWS data services, such as S3, Lambda…Hands-on experience with cloud platforms, such as AWS.Experience with scripting languages like Bash for automation and scripting tasks.Experience with containerization technologies, such as Docker.Experience with Git.Strong communication skills with the ability to collaborate across cross-functional teams and convey complex ideas clearly in English, both verbally and in writing. Desirable Experience developing Model Context Protocol (MCP) APIs.Familiarity with warehousing technologies such as Snowflake.Serverless Architectures: Hands-on experience developing and scaling Serverless APIs (e.G., AWS Lambda with API Gateway). What's in it for You? Growth Opportunity: Join a rapidly growing company with 180+ team members with offices in New York, Madrid, and Marbella, building AI that truly matters for business and finance.Competitive Salary: In Raven Pack, we believe that your time and experience needs to be fairly rewarded.Continuous learning: We provide the support needed to grow within the team.Innovation: Innovation is the key to our success, so we encourage you to speak up and tell us about your vision.Hybrid work arrangement: 3 days in the office, 2 days remote (post-onboarding).Shuttle bus (Málaga): From Malaga, Fuengirola, La Riviera, and Estepona is available for free from the company.Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!) We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.#J-18808-Ljbffr

Overview In this role, you will design, build, and operate scalable, high-performance systems that power data-driven AI workflows for finance. You will collaborate with data scientists, product managers, and engineers to deliver technically sophisticated solutions that align with our GenAI platform. You will tackle complex backend and data engineering challenges, shaping how financial data is ingested, processed, and served. This is an opportunity to influence the growth of a fast-paced, innovative AI data platform with real-world impact. Compensaciones / Beneficios • Hybrid work arrangement, • Competitive salary, • Continuous learning, • Innovation culture, • Shuttle bus Málaga, • Diversity and international environment Responsabilidades, • Architect, develop, and maintain scalable backend systems for data-driven solutions, • Design and implement high-throughput ETL/ELT pipelines for structured and semi-structured data, • Lead workflow automation using tools like Apache Airflow or AWS Step Functions, • Build and maintain high-concurrency REST and MCP APIs, • Design and deploy AWS infrastructure supporting end-to-end apps (Serverless and Containerized), • Champion clean, tested, and maintainable code with strong CI/CD and performance tuning, • Implement full-stack observability with tools like Datadog for high availability and rapid incident response Requisitos principales, • Bachelor's or Master's degree in a technical field (PhD preferred but not required), • 5+ years of software engineering experience, • Proficiency in Python, • Experience designing REST APIs, • Familiarity with relational and NoSQL databases (Postgres, Oracle, DynamoDB, Time-series, Snowflake), • Proven ETL/ELT pipeline development and scaling, • Hands-on AWS experience (S3, Lambda, etc.), • Bash scripting, Docker containerization, Git, • Strong communication and cross-functional collaboration in English, • Strong communication skills, • Cross-functional collaboration, • Ability to convey complex ideas clearly in English, • Python, • REST API development, • APIs like MCP (Model Context Protocol)

Ofertas de Senior Ai Inference Architect For S... Nuestro cliente busca un talentoso Ingeniero de Machine Learning para unirse a su equipo dinámico en Murcia. Esta posición está diseñada para un profesional que busca la máxima flexibilidad, siendo un rol totalmente remoto. Serás clave en el desarrollo, implementación y optimización de modelos de aprendizaje automático que impulsarán nuestras soluciones innovadoras. Trabajarás en un entorno colaborativo donde se valora la iniciativa y la aportación de ideas, y tendrás la oportunidad de aplicar las últimas técnicas de ML en proyectos de vanguardia. Únete a nosotros para ser parte de la transformación digital a través de la inteligencia artificial. Desarrollar y entrenar modelos de machine learning, desde la experimentación hasta la producción. Preprocesar y analizar grandes conjuntos de datos para extraer información valiosa y características relevantes para los modelos. Implementar y mantener pipelines de datos y flujos de trabajo de ML para automatizar el entrenamiento y la evaluación de modelos. Colaborar con científicos de datos y otros ingenieros para integrar modelos de ML en aplicaciones y productos existentes. Optimizar el rendimiento de los modelos existentes y explorar nuevas técnicas para mejorar la precisión y la eficiencia. Investigar y aplicar algoritmos de aprendizaje supervisado y no supervisado según las necesidades del proyecto. Experiencia sólida en desarrollo de modelos de machine learning y MLOps. Dominio de Python y bibliotecas comunes de ML como Scikit-learn, Tensor Flow, Py Torch. Experiencia con herramientas de gestión de datos y bases de datos (SQL, No SQL). Comprensión profunda de los principios estadísticos y matemáticos detrás de los algoritmos de ML. Habilidad para trabajar de forma autónoma y gestionar eficazmente tu tiempo en un entorno remoto. Acerca del Puesto Nuestro cliente busca un talentoso Ingeniero de Machine Learning para unirse a su equipo dinámico en Murcia. Esta posición está diseñada para un profesional que busca la máxima flexibilidad, siendo un rol totalmente remoto. Serás clave en el desarrollo, implementación y optimización de modelos de aprendizaje automático que impulsarán nuestras soluciones innovadoras. Trabajarás en un entorno colaborativo donde se valora la iniciativa y la aportación de ideas, y tendrás la oportunidad de aplicar las últimas técnicas de ML en proyectos de vanguardia. Únete a nosotros para ser parte de la transformación digital a través de la inteligencia artificial. Responsabilidades Clave Desarrollar y entrenar modelos de machine learning, desde la experimentación hasta la producción. Preprocesar y analizar grandes conjuntos de datos para extraer información valiosa y características relevantes para los modelos. Implementar y mantener pipelines de datos y flujos de trabajo de ML para automatizar el entrenamiento y la evaluación de modelos. Colaborar con científicos de datos y otros ingenieros para integrar modelos de ML en aplicaciones y productos existentes. Optimizar el rendimiento de los modelos existentes y explorar nuevas técnicas para mejorar la precisión y la eficiencia. Investigar y aplicar algoritmos de aprendizaje supervisado y no supervisado según las necesidades del proyecto. Requisitos Experiencia sólida en desarrollo de modelos de machine learning y MLOps. Dominio de Python y bibliotecas comunes de ML como Scikit-learn, Tensor Flow, Py Torch. Experiencia con herramientas de gestión de datos y bases de datos (SQL, No SQL). Comprensión profunda de los principios estadísticos y matemáticos detrás de los algoritmos de ML. Habilidad para trabajar de forma autónoma y gestionar eficazmente tu tiempo en un entorno remoto. Beneficios Tarifa competitiva por hora/proyecto como contratista. Flexibilidad horaria y geográfica completa al ser un puesto 100% remoto. Oportunidades para trabajar en proyectos desafiantes y de alto impacto. Acceso a recursos de formación y desarrollo continuo en el campo de la IA. Cultura de equipo dinámica y enfocada en la innovación tecnológica. #J-18808-Ljbffr

Hero Gaming Ltd is seeking a Senior AI Test Automation Engineer to build an AI-powered testing platform in Marbella. You will design and own scalable AI-driven tests, explore AI agents, and automate validation of critical i Gaming functionalities including registrations, KYC, deposits and wallet transactions.The role emphasizes hands-on software engineering, integration with CI/CD pipelines and collaboration with developers and product teams to uncover defects earlier and accelerate releases.#J-18808-Ljbffr

RavenPack is seeking an experienced ML/NLP contractor to advance its GenAI and LLM infrastructure for finance. You will directly prototype, optimize, and deploy fast, accurate ML solutions targeting search, retrieval, and financial text tasks.Bring expertise in Python, PyTorch, and the Hugging Face ecosystem, with hands-on experience in PEFT, model quantization, and high‑performance serving. The role embeds with an internal search team and offers a short-duration contract.#J-18808-Ljbffr

RavenPack in Marbella is seeking an experienced Machine Learning / NLP Engineer to lead a high-impact infrastructure project. You will design, evaluate, and deploy advanced NLP models to complement and enhance our large-scale detection pipeline.You will work closely with core engineering, data, and leadership teams to ensure seamless integration of new ML technologies with existing systems, enabling a powerful, hybrid architecture. NDA discussions will occur in the interview process.#J-18808-Ljbffr

Jobtailor in Marbella, Spain seeks a mid-level software engineer to own the full cycle of development from architecture to testing. You will collaborate across design, product, backend, and DevOps to plan and release new features. You will mentor junior teammates, work closely with stakeholders to deliver technical solutions, and monitor performance with tools like Sentry or Grafana to drive optimization. #J-18808-Ljbffr

Crowd Strike is seeking a Corporate Sales Engineer for German-speaking markets. This remote role supports our customers across Europe and partners with the sales team to articulate our AI-native cybersecurity platform.The position is full-time and allows you to work remotely from Germany or other eligible locations. You will combine technical expertise with business acumen to drive customer success and revenue.#J-18808-Ljbffr

Valsea Technology in Marbella, Spain, seeks a Staff/Principal-level engineer to own AI strategy on a high-scale platform. You will lead AI feature delivery across the stack, emphasize reliability, data quality, and security, and prefer pairing with engineers over pure planning. You will mentor engineers, prototype quickly, and shape SDLC tooling with GitHub/GitLab integration, balancing build-vs-buy decisions. Hybrid Marbella or EU remote; competitive salary. #J-18808-Ljbffr

Valsea Technology in Marbella, Spain, seeks a Staff/Principal-level engineer to own AI strategy on a high-scale platform. You will lead AI feature delivery across the stack, emphasize reliability, data quality, and security, and prefer pairing with engineers over pure planning.You will mentor engineers, prototype quickly, and shape SDLC tooling with Git Hub/Git Lab integration, balancing build-vs-buy decisions. Hybrid Marbella or EU remote; competitive salary.#J-18808-Ljbffr

Forward Deployed Engineer (Python, AI Systems)Spain (Madrid or Barcelona preferred) | HybridUp to 100k + performance bonus + equityWe're supporting one of our clients (an AI-native product company) in hiring a Forward Deployed Engineer to work at the intersection of engineering, AI systems, clients & product and enterprise deployments.This is not a traditional backend role.It's for engineers who want to build, ship, and deploy AI-powered systems directly into real client environments, fast.The RoleAs a Forward Deployed Engineer, you'll work closely with enterprise customers to design, implement, and deploy AI-driven workflows powered by LLMs and agent-based systems.You'll take ownership from architecture to production.This includes:Designing backend architectures in Python (FastAPI-heavy stack)Integrating AI systems (LLMs, RAG pipelines, structured outputs)Building APIs and microservices for client-specific workflowsDeploying scalable, containerized services (Docker, Kubernetes)Debugging production issues and improving system reliabilityTranslating business requirements into clean technical solutionsYou won't just ship code — you'll see it live, used, and scaled.What We're Looking ForStrong backend engineering fundamentals (Python preferred)Experience building and operating production systemsComfort with APIs, data modeling, and microservicesExperience integrating third-party systems or working client-facingCloud experience (AWS, GCP, or similar)Product mindset and high ownership mentalityBonus if you have:Experience working with LLMs or AI-powered systemsExperience with RAG or structured output generationExposure to container orchestration (Kubernetes)Who Thrives in This RoleEngineers who enjoy solving messy real-world problemsBuilders who like autonomy and ownershipPeople comfortable speaking to stakeholdersDevelopers who prefer impact over bureaucracyThis is a high-intensity, high-ownership environment.Not a maintenance role. Not a ticket factory.Compensation & SetupCompetitive base salary for Spain (up to 100k for the right profile)Performance-based bonus structureMeaningful equityHybrid model (Madrid or Barcelona preferred)If you're excited about deploying real AI systems into production environments — and want to work close to both product and customers — we'd love to speak.Apply directly or reach out for a confidential conversation.

At Valsea, we’re shaping the future of entertainment with immersive, engaging experiences that captivate players worldwide. Based in sunny Marbella, Spain, our vibrant open-space office is home to an international team of developers, marketers, product owners, and much more. Valsea operates a leading scalable technology platform, 100% owned by us. This gives us the freedom to deliver results fast. We integrate selected outside companies into our ecosystem to ensure we provide fresh and vibrant products for our customers. We work in a fast-paced environment, creating new brands, maintaining and improving our tech stack, launching leading acquisition and retention campaigns, and developing fresh features. Our ethos is simple - be best-in-class in everything we do. Despite our rapid growth, Valsea still has that exciting start-up feel. We embrace a hybrid working model to balance professional growth with personal well-being. With a dynamic work environment, attractive salary, and a culture that thrives on collaboration, our power is our people. We provide company laptops and other things you may need to work comfortably. Remote workers are always invited to our annual company trip and other team events. Ready to be part of something exciting? A Staff-level engineer who has done this before: someone who can walk into a mature, high-scale platform, understand where AI genuinely moves the needle versus where it's just noise, and lead the engineering work to get it done. You're comfortable being the most senior technical voice in the room, but you'd rather be pairing with an engineer on a gnarly integration than sitting in a strategy deck all day. You think in systems, not scripts: production reliability, data quality, and security aren't afterthoughts to you, they're the job. This isn't a research role. It's a build role, with the freedom and seniority to also set direction. • Own the technical strategy and roadmap for AI adoption across Valsea's product, platform, and internal tooling, grounded in what's actually feasible on our stack, not slideware., • Architect and lead the delivery of AI-powered capabilities into our Scala/Go/Kafka backend, from recommendation and personalisation to support/fraud/risk signals, agentic automation, and internal developer tooling., • Set the vision and roadmap for agentic QA automation (using AI agents to expand test coverage, catch regressions earlier, and reduce manual QA load) and for AI-accelerated support and incident response that cuts time-to-detect and time-to-resolve., • Introduce AI tooling at the root of our SDLC pipelines (GitHub/GitLab: code review, testing, deployment gates), so AI assistance is built into how the team ships, not bolted on afterward., • Evaluate and integrate LLM and ML infrastructure (self-hosted and API-based), making pragmatic build-vs-buy calls that respect our scale, latency, and cost constraints., • Set Product Development standards for how AI features get designed, tested, monitored, and rolled back. Model-driven systems should meet the same rigour as any other production service., • Partner directly with Engineering leadership, Product, and Data to identify where AI creates real player or business value, and turn that into a delivery plan., • Act as a technical multiplier: mentor senior and mid-level engineers and managers, run design reviews, and raise the technical bar for how the wider team thinks about AI-assisted and AI-driven systems., • Stay hands-on: prototype fast, get into the codebase, and unblock hard integration and performance problems yourself when it matters., • 5+ years of software engineering experience, including significant time in the JVM/Scala ecosystem (or a comparably strong background in a statically-typed, distributed-systems-heavy language) plus proven Staff/Principal-level scope: setting technical direction, not just executing it., • Hands-on experience shipping AI/ML-powered features into production at real scale, with real users: LLM integration, recommendation systems, applied ML, or agentic infrastructure., • Deep comfort with event-driven, distributed architectures (Akka/Pekko, Kafka or equivalent); you understand the failure modes, not just the happy path., • Strong, hands-on experience with distributed systems and container orchestration: Kubernetes, Docker, and the operational patterns that come with running them at scale., • A track record of making sound build-vs-buy and platform decisions, including around cost, latency, data privacy, and vendor risk for AI systems specifically., • Product-minded: you think in terms of player impact and business outcomes, not just technical elegance., • A strong communicator who can move fluidly between a whiteboard architecture discussion with engineers and a plain-language case for leadership., • You thrive in ambiguity: this role starts with a mandate, not a spec, and you'll help write the spec., • Proficiency in professional-level English communication, written and verbal. Please note, these aren't requirements, just things we think would be particularly valuable. If anything or everything here doesn't apply to you, please don't let that put you off applying. • Good domain knowledge of entertainment or another regulated, high-throughput consumer platform is recommended., • Experience with CRM and marketing automation platforms., • Background running or scaling self-hosted AI/LLM infrastructure and observability., • Exposure to fraud detection, risk scoring, or trust & safety systems., • Experience introducing AI tooling into an engineering organization's own workflows (dev tooling, code review, incident response), not just into the product., • Modern MLOps/LLMOps practices and tooling., • Hybrid working model from our office in Marbella (3 days/week) or fully remote (EU), • Innovative international company that uses cutting-edge tech equipment, • Collaborative teams and agile multicultural environment, • Competitive salary with flexible working hours, • 23 paid vacation days + public holidays, • Private health insurance for you and your family, • Free Online English/Spanish lessons, • Corporate events throughout the year, • Ongoing learning and professional development opportunities, • Daily breakfast and freshly cooked lunch 3 days a week, • 50% discount on personal training sessions and physiotherapy sessions, • Games room, full kitchen with hot drinks, fruit, soft drinks, • Gym, massage room and much more At Valsea, we want diversity and inclusion in an environment where unique perspectives and new talents thrive. Join us in creating a workplace where everyone can shine and contribute to our collective success. Protecting your privacy and data security is a longstanding top priority for Valsea. Please consult our Privacy Notice ( to learn more about how we collect, use and transfer the personal data of our candidates. We’re a diverse team with great people from across the world. This position is available both as a hybrid position in Marbella (Spain) or as a fully remote position from inside the EU. Please note that we are unable to sponsor work visas outside the EU. #J-18808-Ljbffr

Valsea is seeking a Staff-level engineer to own AI strategy for a mature, high-scale platform. You will be the senior technical voice, yet prefer hands-on collaboration on complex integrations over strategy decks. You’ll shape production reliability, data quality, and security as core responsibilities.This role combines building with direction setting, requiring deep experience in JVM-based systems, AI features in production, and strong collaboration with cross-functional teams.#J-18808-Ljbffr

At Valsea, we’re shaping the future of entertainment with immersive, engaging experiences that captivate players worldwide. Based in sunny Marbella, Spain, our vibrant open-space office is home to an international team of developers, marketers, product owners, and much more. Valsea operates a leading scalable technology platform, 100% owned by us. This gives us the freedom to deliver results fast. We integrate selected outside companies into our ecosystem to ensure we provide fresh and vibrant products for our customers. We work in a fast-paced environment, creating new brands, maintaining and improving our tech stack, launching leading acquisition and retention campaigns, and developing fresh features. Our ethos is simple - be best-in-class in everything we do. Despite our rapid growth, Valsea still has that exciting start-up feel. We embrace a hybrid working model to balance professional growth with personal well-being. With a dynamic work environment, attractive salary, and a culture that thrives on collaboration, our power is our people. We provide company laptops and other things you may need to work comfortably. Remote workers are always invited to our annual company trip and other team events. Ready to be part of something exciting? A Staff-level engineer who has done this before: someone who can walk into a mature, high-scale platform, understand where AI genuinely moves the needle versus where it's just noise, and lead the engineering work to get it done. You're comfortable being the most senior technical voice in the room, but you'd rather be pairing with an engineer on a gnarly integration than sitting in a strategy deck all day. You think in systems, not scripts: production reliability, data quality, and security aren't afterthoughts to you, they're the job. This isn't a research role. It's a build role, with the freedom and seniority to also set direction. • Own the technical strategy and roadmap for AI adoption across Valsea's product, platform, and internal tooling, grounded in what's actually feasible on our stack, not slideware., • Architect and lead the delivery of AI-powered capabilities into our Scala/Go/Kafka backend, from recommendation and personalisation to support/fraud/risk signals, agentic automation, and internal developer tooling., • Set the vision and roadmap for agentic QA automation (using AI agents to expand test coverage, catch regressions earlier, and reduce manual QA load) and for AI-accelerated support and incident response that cuts time-to-detect and time-to-resolve., • Introduce AI tooling at the root of our SDLC pipelines (GitHub/GitLab: code review, testing, deployment gates), so AI assistance is built into how the team ships, not bolted on afterward., • Evaluate and integrate LLM and ML infrastructure (self-hosted and API-based), making pragmatic build-vs-buy calls that respect our scale, latency, and cost constraints., • Set Product Development standards for how AI features get designed, tested, monitored, and rolled back. Model-driven systems should meet the same rigour as any other production service., • Partner directly with Engineering leadership, Product, and Data to identify where AI creates real player or business value, and turn that into a delivery plan., • Act as a technical multiplier: mentor senior and mid-level engineers and managers, run design reviews, and raise the technical bar for how the wider team thinks about AI-assisted and AI-driven systems., • Stay hands-on: prototype fast, get into the codebase, and unblock hard integration and performance problems yourself when it matters., • 5+ years of software engineering experience, including significant time in the JVM/Scala ecosystem (or a comparably strong background in a statically-typed, distributed-systems-heavy language) plus proven Staff/Principal-level scope: setting technical direction, not just executing it., • Hands-on experience shipping AI/ML-powered features into production at real scale, with real users: LLM integration, recommendation systems, applied ML, or agentic infrastructure., • Deep comfort with event-driven, distributed architectures (Akka/Pekko, Kafka or equivalent); you understand the failure modes, not just the happy path., • Strong, hands-on experience with distributed systems and container orchestration: Kubernetes, Docker, and the operational patterns that come with running them at scale., • A track record of making sound build-vs-buy and platform decisions, including around cost, latency, data privacy, and vendor risk for AI systems specifically., • Product-minded: you think in terms of player impact and business outcomes, not just technical elegance., • A strong communicator who can move fluidly between a whiteboard architecture discussion with engineers and a plain-language case for leadership., • You thrive in ambiguity: this role starts with a mandate, not a spec, and you'll help write the spec., • Proficiency in professional-level English communication, written and verbal. Please note, these aren't requirements, just things we think would be particularly valuable. If anything or everything here doesn't apply to you, please don't let that put you off applying. • Good domain knowledge of entertainment or another regulated, high-throughput consumer platform is recommended., • Experience with CRM and marketing automation platforms., • Background running or scaling self-hosted AI/LLM infrastructure and observability., • Exposure to fraud detection, risk scoring, or trust & safety systems., • Experience introducing AI tooling into an engineering organization's own workflows (dev tooling, code review, incident response), not just into the product., • Modern MLOps/LLMOps practices and tooling., • Hybrid working model from our office in Marbella (3 days/week) or fully remote (EU), • Innovative international company that uses cutting-edge tech equipment, • Collaborative teams and agile multicultural environment, • Competitive salary with flexible working hours, • 23 paid vacation days + public holidaysPrivate health insurance for you and your family, • Free Online English/Spanish lessons, • Corporate events throughout the year, • Ongoing learning and professional development opportunities, • Daily breakfast and freshly cooked lunch 3 days a week, • 50% discount on personal training sessions and physiotherapy sessions, • Games room, full kitchen with hot drinks, fruit, soft drinks, • Gym, massage room and much more At Valsea, we want diversity and inclusion in an environment where unique perspectives and new talents thrive. Join us in creating a workplace where everyone can shine and contribute to our collective success. Protecting your privacy and data security is a longstanding top priority for Valsea. Please consult our Privacy Notice ( to learn more about how we collect, use and transfer the personal data of our candidates. We’re a diverse team with great people from across the world. This position is available both as a hybrid position in Marbella (Spain) or as a fully remote position from inside the EU. Please note that we are unable to sponsor work visas outside the EU. #J-18808-Ljbffr

Desarrollo de documentación de ingeniería I&C (básica y detalle) de proyectos en instalaciones industriales Elaboración y Participación en protocolos de pruebas de aceptación de fábrica (FAT) y pruebas de aceptación en sitio (SAT) de acuerdo a las especificaciones establecidas Realizaci�

Job Title: Senior AI Test Automation EngineerEmployment: Full-timeLocation: MarbellaAt Hero Gaming, we are looking for a talented and hands-on Senior AI Automation Engineer to help transform how we develop, test and release software.We want to move beyond traditional test automation and build an intelligent, AI-driven testing platform that can autonomously explore applications, generate and maintain tests, identify defects and continuously adapt as our products evolve.This is an opportunity to take full ownership of a new technical initiative, combining strong software engineering skills with the latest developments in large language models (LLMs), AI agents and browser automation.You will have the freedom to explore new approaches, select appropriate technologies and turn ambitious ideas into reliable, production-ready solutions.Our goal is simple: reduce repetitive manual testing, detect issues earlier and enable faster, more confident software releases.Previous hands-on experience in the i Gaming industry is mandatory for this position.What You Will DoBuild Our AI-Driven Testing Platform Design, develop and own a scalable AI-powered testing framework from the ground up.Develop AI agents capable of exploring applications, generating test scenarios, executing tests and analysing results.Implement automated test generation and maintenance based on requirements, code changes and application behaviour.Build reliable automated testing across APIs, integrations, web interfaces and complete player journeys.Combine AI-driven exploration with deterministic assertions to ensure accurate, reproducible results.Develop automated testing for critical i Gaming functionality, including registration, KYC, deposits, withdrawals, bonuses, gameplay and wallet transactions. Introduce Intelligent Automation Use LLMs and AI coding tools such as Claude, GPT and Git Hub Copilot to accelerate development and automate testing workflows.Develop AI-assisted visual testing to detect UI defects, layout inconsistencies and unexpected changes across browsers and devices.Create intelligent workflows for analysing failures, identifying potential root causes and distinguishing genuine defects from unstable tests.Explore self-healing test automation while maintaining safeguards against masking genuine defects.Connect AI agents with development tools, repositories, APIs and browser automation frameworks.Automate validation of integrations with game providers, payment systems and other third-party i Gaming services. Integrate with Our Development Process Integrate automated testing into CI/CD pipelines, including continuous regression testing and release validation.Build automated quality gates and actionable feedback mechanisms for developers.Work closely with developers and product owners to understand requirements and define meaningful test coverage.Build dashboards and reporting tools to provide visibility into testing effectiveness, execution times and software quality.Continuously identify opportunities to improve engineering productivity through AI and automation. Take Ownership and Drive Innovation Own the technical architecture, implementation and ongoing evolution of the platform.Evaluate new AI models, frameworks and technologies based on their practical value.Establish engineering standards for reliable, maintainable and cost-effective AI automation.Document solutions and enable other engineers to contribute to and benefit from the platform.Turn prototypes into reliable tools used in everyday development.Drive continuous improvements toward increasingly autonomous testing with minimal human intervention. Who We Are Looking ForWe are looking for a strong software engineer with proven i Gaming experience who enjoys building systems, solving complex problems and experimenting with emerging technologies.You should be comfortable taking an idea from concept to production, making independent technical decisions and delivering working solutions.We value practical engineering ability, technical curiosity and a strong sense of ownership.Required Experience Proven hands-on experience in the i Gaming industry is mandatory, preferably within online casino or sportsbook platforms.Strong understanding of i Gaming player journeys, including registration, KYC, deposits, withdrawals, bonuses, gameplay and wallet transactions.Familiarity with i Gaming platform architecture, third-party integrations, payment providers and game providers.Strong software engineering background with excellent programming skills, preferably in Type Script, Java Script or Python.Proven experience designing and implementing automation frameworks or complex developer tools.Practical experience using LLMs and AI-assisted development tools.Hands-on experience with browser automation technologies such as Playwright, Cypress or Selenium.Good understanding of APIs, integration testing, end-to-end testing and modern web applications.Experience working with CI/CD pipelines and software development workflows.Ability to design maintainable solutions and troubleshoot complex technical issues.Strong problem-solving skills, an independent working style and good communication skills in English. Strong Advantages Experience developing AI agents or autonomous workflows using LLM APIs.Experience with tool calling, structured outputs, prompt engineering and context management.Familiarity with AI-powered browser automation, visual testing or automated defect detection.Experience integrating AI systems with development environments, repositories and APIs.Experience evaluating AI-generated results for reliability, accuracy and cost.Experience with distributed applications, microservices or complex transactional systems.Experience building or maintaining automation for casino platforms, game aggregators, payment integrations or player account management systems.Knowledge of regulatory requirements and compliance testing within the i Gaming industry. What Success Looks Like A functioning AI-powered testing platform integrated into our development workflow.Increasing automated coverage of critical i Gaming functionality and player journeys.A measurable reduction in repetitive manual regression testing.Faster identification and investigation of software defects.Reliable automated validation that supports frequent releases.Improved confidence in platform stability, integrations and player-facing functionality.A platform that becomes more capable and valuable as our products evolve. What We Offer Ownership of a new AI-driven engineering initiative from concept to production.The freedom to evaluate and introduce modern AI technologies and automation frameworks.The opportunity to work with complex, high-traffic i Gaming platforms and integrations.Close collaboration with experienced developers and product teams.A technically challenging environment that encourages experimentation and continuous improvement.The chance to make a direct and measurable impact on software quality, development speed and release confidence. This is a role for someone who wants to build the next generation of software testing, not simply maintain existing test scripts.If you are passionate about AI, automation and software engineering, have proven experience in the i Gaming industry and want to take ownership of something genuinely innovative, we would love to hear from you.#J-18808-Ljbffr

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