Programador Java Mid-Senior | Microservicios | 100% Teletrabajo
Develop and maintain software solutions using Java and microservices architecture. Implement CI/CD pipelines and ensure efficient deployment within containerized environments.
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Develop and maintain software solutions using Java and microservices architecture. Implement CI/CD pipelines and ensure efficient deployment within containerized environments.
You will drive the development of the GridHub core component by designing interfaces and generalized functionality for complex requirements. Additionally, you will develop cross-application workflows to ensure data integrity and improve system architecture.
Design, develop, and maintain robust applications using Java and the Spring ecosystem while bridging legacy architectures with modern microservices. Ensure code quality through advanced unit and integration testing and manage data persistence using Oracle, JPA, and JDBC.
Lead the design and evolution of robust, scalable microservices architectures while ensuring technical excellence through high-performance APIs. Collaborate within a Scrum team to deliver mission-critical projects while mentoring team members and maintaining high quality standards.
You will design and deploy agent-based AI systems by integrating language models with internal and external tools to solve complex business problems. You will take end-to-end ownership of the AI lifecycle, from discovery and prototyping to production monitoring, evaluation, and scaling.
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You will be responsible for the sales, promotion, and development of the Victaulic FP product range across NW Spain and Portugal. This includes providing technical support, training contractors, and ensuring product specification by engineering consultants.
You will design, build, and manage AI agents to optimize business processes and decision-making across the company. This involves identifying opportunities for automation, connecting agents with internal tools, and measuring their impact on productivity and quality.
You will architect and build the next generation of search and recommendation intelligence while owning the full machine learning lifecycle. This includes developing advanced ranking algorithms, fine-tuning language models, and implementing scalable recommender systems.
The Chief Learning Officer will lead a global AI learning agenda and cultivate strategic partnerships with major technology organizations to advance educational transformation. They will also manage a cross-functional AI Circle to foster collaboration and ensure ethical AI adoption across the global network.
You will work as a full-stack engineer to design and implement scalable features, APIs, and agentic interfaces for the product onboarding and trial experience. You will collaborate with product managers, designers, and solution teams to ensure seamless integration and effective data evolution strategies.
Design the global logistics solution on SAP, ensuring integration across procurement, inventory, demand planning, production, and distribution. Support the company's operational and supply chain strategy through scalable and integrated processes.
Lead and build features end-to-end, from user research and architecture to deployment and production monitoring. Partner closely with the product team to define user problems and shape technical solutions.
You will design and implement a new platform's UI from Figma files while contributing to C# backend services and APIs. You will also establish AI-native development workflows using Claude to accelerate the full software development lifecycle.
The role involves designing physical objects using open-source CAD software while having your workflow captured to train AI models. You will also be responsible for writing and executing Python validation scripts to support your design tasks.
You will architect and maintain secure microservices and backend data pipelines for high-performance AI inference platforms. This includes implementing cryptographic protocols and managing containerized workloads within hardware-enforced environments.
The Sales Engineer is responsible for driving revenue growth and expanding business within an assigned territory through strategic customer engagement. This role involves managing relationships, conducting commercial negotiations, and maintaining accurate sales records in the CRM system.
You will act as the Application Security Subject Matter Expert, partnering with engineering teams to embed security throughout the software development lifecycle. Responsibilities include leading security reviews, threat modelling, and automating security controls within CI/CD pipelines.
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Design, implement, and maintain scalable cloud infrastructures on Google Cloud Platform while managing GKE-based platforms. Develop Infrastructure as Code using Terraform and automate CI/CD pipelines to support AI, Machine Learning, and advanced analytics projects.
You will serve as the lead software engineer for EU card teams, setting technical strategy and overseeing architecture for transaction processing and ledgering systems. You will also act as a force-multiplier by mentoring team members, defining operational standards, and collaborating with cross-functional partners.
You will lead a team of engineers to deliver quarterly goals while collaborating with product, design, and analytics stakeholders. Additionally, you will maintain system availability, foster a culture of high-quality code, and mentor team members to support their professional growth.
Coordinate a team of analysts and serve as the primary point of contact for clients to translate business needs into analytical solutions. Design, develop, and maintain business dashboards while optimizing data processes and ensuring information quality.
You will be responsible for designing, implementing, and maintaining infrastructure on Google Cloud Platform, including GKE, networking, and IAM. Additionally, you will manage automation through Terraform, CI/CD pipelines, and ensure system security, observability, and cost optimization.
Lead and coordinate an analytics team while serving as the primary point of contact for clients. Translate business needs into analytical solutions and develop dashboards for portfolio, churn, and survival analysis.
The Solutions Engineer will partner with the sales team to articulate the Grafana value proposition and lead technical engagements with customers. They are responsible for delivering product presentations, conducting technical evaluations, and acting as a bridge between customers and internal product teams.
You will be responsible for administering and optimizing cloud and hybrid infrastructures, primarily within AWS. Additionally, you will manage complex incidents, support critical systems, and collaborate with development and architecture teams to ensure service continuity.
Develop and evolve Java-based applications using Spring and microservices architecture. Collaborate with Architecture, QA, and DevOps teams while participating in all phases of the software development lifecycle.
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Design, develop, and maintain scalable data pipelines and architectures while ensuring data quality, governance, and observability. Collaborate with cross-functional teams to implement robust data solutions and optimize performance across cloud platforms.
You will be responsible for building and scaling AI-native platforms by developing both frontend and backend features. This includes integrating AI agents, managing RESTful APIs, and collaborating with product teams to translate complex requirements into scalable solutions.
The developer will be responsible for the design, implementation, and evolution of solutions on the Salesforce Service Cloud platform. They will work autonomously and within multidisciplinary teams to meet specific business needs.
The developer will be responsible for the development, maintenance, and evolution of solutions within the Salesforce Service Cloud platform. They will also collaborate with the technical team to resolve incidents and ensure the quality of project deliverables.
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