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¿Tienes amplia experiencia en Salesforce y en la definición de plataformas digitales? Buscamos un perfil senior con visión funcional y técnica para liderar la fase de análisis y definición de un ambicioso proyecto de transformación digital. ¿Cuál será tu misión? Liderar el análisis del ecosistema digital actual de un cliente del sector inmobiliario y definir la estrategia de migración de varias plataformas web hacia Salesforce, estableciendo la arquitectura objetivo, el alcance del proyecto, el roadmap de implantación y las integraciones necesarias para su ejecución. ¿Qué harás? • Analizar el ecosistema web actual: estructura, funcionalidades, contenidos, buscadores, formularios, captación de leads, SEO, analítica e integraciones., • Identificar qué capacidades deben migrarse al ecosistema Salesforce y seleccionar las soluciones más adecuadas., • Definir la arquitectura objetivo de las nuevas webs y portales sobre Salesforce., • Recoger y analizar requisitos junto a las áreas de Negocio, Marketing, IT, Arquitectura y Comercial., • Diseñar las integraciones con CRM, sistemas de gestión de activos, APIs, herramientas de marketing, analítica, SSO y otros sistemas corporativos., • Definir el modelo de contenidos, permisos, gobierno y mantenimiento de las plataformas., • Elaborar el roadmap de migración por fases., • Estimar esfuerzos, recursos, plazos, riesgos y dependencias., • Preparar la documentación funcional y técnica necesaria para el inicio del proyecto., • Actuar como referente de Salesforce durante toda la fase de definición. ¿Qué buscamos? Requisitos imprescindibles • Experiencia senior en Salesforce, especialmente en proyectos con componente web, portales o experiencias digitales., • Conocimiento sólido de Salesforce Experience Cloud, Salesforce CMS y del ecosistema Salesforce aplicado a plataformas digitales., • Experiencia en análisis funcional y técnico de proyectos Salesforce., • Experiencia en migraciones de webs, CMS, portales, formularios e integraciones., • Capacidad para definir arquitecturas, alcance funcional, roadmap y estimaciones., • Conocimiento de integraciones mediante APIs, CRM, herramientas de marketing, analítica web y sistemas corporativos., • Perfil consultivo, autónomo y con excelente capacidad de interlocución con cliente., • Experiencia colaborando con equipos de Negocio, Marketing, IT y Arquitectura. Se valorará especialmente • Experiencia en marketplaces, eCommerce o plataformas con buscadores avanzados., • Conocimientos de Salesforce Marketing Cloud, Data Cloud o Commerce Cloud., • Experiencia en SEO técnico, analítica digital, tracking, tag management y optimización del rendimiento web., • Experiencia en entornos multisite, multidioma o con múltiples marcas., • Certificaciones Salesforce (Experience Cloud Consultant, Platform App Builder, Administrator, Sales Cloud Consultant, Service Cloud Consultant o similares). El perfil ideal Buscamos un/a consultor/a o arquitecto/a Salesforce Senior con capacidad para transformar una necesidad de negocio en un proyecto sólido, bien definido y listo para su implantación. No buscamos únicamente un perfil técnico; queremos una persona con visión estratégica, experiencia en consultoría y capacidad para liderar la definición de soluciones digitales sobre Salesforce. 📩 Si te apasionan los proyectos de transformación digital y quieres participar desde la fase estratégica hasta la definición de la solución, nos encantará conocerte.

¿Tienes amplia experiencia en Salesforce y en la definición de plataformas digitales? Buscamos un perfil senior con visión funcional y técnica para liderar la fase de análisis y definición de un ambicioso proyecto de transformación digital. ¿Cuál será tu misión? Liderar el análisis del ecosistema digital actual de un cliente del sector inmobiliario y definir la estrategia de migración de varias plataformas web hacia Salesforce, estableciendo la arquitectura objetivo, el alcance del proyecto, el roadmap de implantación y las integraciones necesarias para su ejecución. ¿Qué harás? • Analizar el ecosistema web actual: estructura, funcionalidades, contenidos, buscadores, formularios, captación de leads, SEO, analítica e integraciones., • Identificar qué capacidades deben migrarse al ecosistema Salesforce y seleccionar las soluciones más adecuadas., • Definir la arquitectura objetivo de las nuevas webs y portales sobre Salesforce., • Recoger y analizar requisitos junto a las áreas de Negocio, Marketing, IT, Arquitectura y Comercial., • Diseñar las integraciones con CRM, sistemas de gestión de activos, APIs, herramientas de marketing, analítica, SSO y otros sistemas corporativos., • Definir el modelo de contenidos, permisos, gobierno y mantenimiento de las plataformas., • Elaborar el roadmap de migración por fases., • Estimar esfuerzos, recursos, plazos, riesgos y dependencias., • Preparar la documentación funcional y técnica necesaria para el inicio del proyecto., • Actuar como referente de Salesforce durante toda la fase de definición. ¿Qué buscamos? Requisitos imprescindibles • Experiencia senior en Salesforce, especialmente en proyectos con componente web, portales o experiencias digitales., • Conocimiento sólido de Salesforce Experience Cloud, Salesforce CMS y del ecosistema Salesforce aplicado a plataformas digitales., • Experiencia en análisis funcional y técnico de proyectos Salesforce., • Experiencia en migraciones de webs, CMS, portales, formularios e integraciones., • Capacidad para definir arquitecturas, alcance funcional, roadmap y estimaciones., • Conocimiento de integraciones mediante APIs, CRM, herramientas de marketing, analítica web y sistemas corporativos., • Perfil consultivo, autónomo y con excelente capacidad de interlocución con cliente., • Experiencia colaborando con equipos de Negocio, Marketing, IT y Arquitectura. Se valorará especialmente • Experiencia en marketplaces, eCommerce o plataformas con buscadores avanzados., • Conocimientos de Salesforce Marketing Cloud, Data Cloud o Commerce Cloud., • Experiencia en SEO técnico, analítica digital, tracking, tag management y optimización del rendimiento web., • Experiencia en entornos multisite, multidioma o con múltiples marcas., • Certificaciones Salesforce (Experience Cloud Consultant, Platform App Builder, Administrator, Sales Cloud Consultant, Service Cloud Consultant o similares). El perfil ideal Buscamos un/a consultor/a o arquitecto/a Salesforce Senior con capacidad para transformar una necesidad de negocio en un proyecto sólido, bien definido y listo para su implantación. No buscamos únicamente un perfil técnico; queremos una persona con visión estratégica, experiencia en consultoría y capacidad para liderar la definición de soluciones digitales sobre Salesforce. 📩 Si te apasionan los proyectos de transformación digital y quieres participar desde la fase estratégica hasta la definición de la solución, nos encantará conocerte.

Platform Engineer (Semantic Discovery & Credentials) Location: Remote from Spain (an indefinite Spanish employment contract) We are looking for a Platform Engineer to build secure discovery and credential management capabilities for enterprise AI platforms. The role focuses on semantic search, vector-based discovery, secrets management, credential access services, and AI tool classification. The ideal candidate has hands-on experience with Python backend development, secrets management solutions, and modern semantic search technologies. Project Overview: Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia's mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. Requirements: • 4+ years platform or backend engineering, • Secrets management (Vault or AWS Secrets Manager), • Vector search or semantic search implementation, • Semantic discovery implementation (vector embeddings, OpenSearch or pgvector), • Vault (HashiCorp) integration for credential management, • AWS Secrets Manager as an alternative, • Python credential retrieval API, • MCP server capability and semantic domain taxonomy Will be a plus: • AWS Bedrock embedding models for semantic indexing, • OpenSearch Service or pgvector on RDS, • OAuth token lifecycle management Responsibilities: • Design and implement semantic discovery capabilities for MCP servers, tools, and agent ecosystems., • Build and maintain vector-based search solutions using embeddings, OpenSearch, pgvector, or similar technologies., • Develop metadata taxonomies and capability classification models for MCP services and AI tools., • Design and implement secure credential retrieval services using Python and cloud-native architectures., • Integrate HashiCorp Vault and AWS Secrets Manager to support secure secret storage and access management., • Build APIs for credential retrieval, access validation, and secure secret consumption., • Implement governance controls for credentials, service identities, and tool access policies., • Design semantic indexing pipelines and relevance-ranking strategies for discovery services., • Collaborate with platform, security, and AI engineering teams to establish discovery and credential management standards., • Implement observability, auditability, and monitoring for secret access and discovery workflows., • Support lifecycle management of credentials, service identities, and access tokens across distributed systems., • Produce technical documentation, architecture guidelines, and operational playbooks.

Platform Engineer (Semantic Discovery & Credentials) Location: Remote from Spain (an indefinite Spanish employment contract) We are looking for a Platform Engineer to build secure discovery and credential management capabilities for enterprise AI platforms. The role focuses on semantic search, vector-based discovery, secrets management, credential access services, and AI tool classification. The ideal candidate has hands-on experience with Python backend development, secrets management solutions, and modern semantic search technologies. Project Overview: Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia's mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. Requirements: • 4+ years platform or backend engineering, • Secrets management (Vault or AWS Secrets Manager), • Vector search or semantic search implementation, • Semantic discovery implementation (vector embeddings, OpenSearch or pgvector), • Vault (HashiCorp) integration for credential management, • AWS Secrets Manager as an alternative, • Python credential retrieval API, • MCP server capability and semantic domain taxonomy Will be a plus: • AWS Bedrock embedding models for semantic indexing, • OpenSearch Service or pgvector on RDS, • OAuth token lifecycle management Responsibilities: • Design and implement semantic discovery capabilities for MCP servers, tools, and agent ecosystems., • Build and maintain vector-based search solutions using embeddings, OpenSearch, pgvector, or similar technologies., • Develop metadata taxonomies and capability classification models for MCP services and AI tools., • Design and implement secure credential retrieval services using Python and cloud-native architectures., • Integrate HashiCorp Vault and AWS Secrets Manager to support secure secret storage and access management., • Build APIs for credential retrieval, access validation, and secure secret consumption., • Implement governance controls for credentials, service identities, and tool access policies., • Design semantic indexing pipelines and relevance-ranking strategies for discovery services., • Collaborate with platform, security, and AI engineering teams to establish discovery and credential management standards., • Implement observability, auditability, and monitoring for secret access and discovery workflows., • Support lifecycle management of credentials, service identities, and access tokens across distributed systems., • Produce technical documentation, architecture guidelines, and operational playbooks.

Observability Engineer - Telemetry Extension & ADOT Pipeline Location: Remote from Spain (an indefinite Spanish employment contract) We are looking for an Observability Engineer - Telemetry Extension & ADOT Pipeline to build and extend telemetry capabilities for enterprise AI and cloud-native platforms. In this role, you will focus on designing scalable observability pipelines, extending OpenTelemetry instrumentation, and developing reusable telemetry components that provide actionable insights into distributed systems. You will work closely with platform, AI, and DevOps teams to create flexible, configurable telemetry solutions that support performance monitoring, troubleshooting, and operational excellence at scale. Project Overview: Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia's mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. Requirements: • 4+ years of observability or platform engineering, • ADOT or OTel collector pipeline design, • Python SDK or library development, • AWS Distro for OpenTelemetry (ADOT) collector configuration (pipelines, processors, exporters), • OpenTelemetry SDK extension patterns (custom metrics, custom spans, configurable telemetry), • AWS CloudWatch Metrics and X-Ray export pipelines, • YAML-driven telemetry configuration schemas Nice to have: • Strands or LangGraph framework familiarity, • Customer-facing SDK extensibility patterns, • CloudWatch custom metrics and dimensions Responsibilities: • Design and implement observability solutions for AI platforms, agent-based systems, and distributed cloud-native applications., • Instrument Python services using OpenTelemetry SDK and AWS Distro for OpenTelemetry (ADOT)., • Develop and maintain distributed tracing solutions using AWS X-Ray and OpenTelemetry., • Configure telemetry collection, propagation, and export pipelines across AWS environments., • Implement and maintain CloudWatch dashboards, metrics, logs, and alerting strategies for operational visibility and troubleshooting., • Establish monitoring standards for AI agents, tool invocations, workflow execution, and service-to-service communication., • Integrate observability capabilities with AWS AgentCore Observability and related platform services., • Ensure proper W3C Trace Context and Baggage propagation across applications, APIs, and agent workflows., • Instrument LangChain-based applications and AI services to capture traces, metrics, and execution insights., • Partner with AI engineers and platform teams to identify performance bottlenecks, reliability issues, and optimization opportunities., • Build structured logging and telemetry standards that support debugging, root-cause analysis, and operational governance., • Contribute to observability best practices, platform standards, and engineering guidelines for AI and cloud-native systems.

Platform Engineer — CI/CD Gate & Online Evaluation Location: Remote from Spain (an indefinite Spanish employment contract) We are looking for a Platform Engineer — CI/CD Gate & Online Evaluation to help establish automated quality controls for enterprise AI platforms and agent-based systems. In this role, you will integrate evaluation workflows into deployment pipelines, configure online quality monitoring, and build operational visibility for AI performance and reliability. You will work closely with platform, DevOps, AI engineering, and governance teams to ensure that AI agents meet quality standards before and after production deployment. Project Overview: Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia's mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. Requirements: • 4+ years platform or DevOps engineering, • CI/CD pipeline integration for quality gates, • CloudWatch dashboard and alarm design, • AWS AgentCore Evaluation API (on-demand mode — CreateEvaluation in CI/CD pipelines), • GitHub Actions integration for evaluation deployment gate, • Online evaluation configuration (AgentCore online mode, configurable sampling rate), • CloudWatch dashboards for per-agent per-evaluator evaluation scores over time, • CloudWatch alarm configuration for quality degradation thresholds Nice-to-have: • AWS AgentCore Evaluation online mode sampling configuration, • AWS AgentCore Runtime version comparison using evaluation (regression detection), • CloudWatch EMF for structured evaluation score metrics Responsibilities: • Design and implement CI/CD quality gates using AWS AgentCore Evaluation to validate AI agents and workflows before deployment., • Integrate evaluation execution into GitHub Actions and deployment pipelines to support automated release decisions., • Configure and maintain on-demand evaluation workflows for pre-release quality validation and regression detection., • Implement and manage online evaluation capabilities, including production sampling strategies and evaluation scheduling., • Build CloudWatch dashboards that provide visibility into evaluation scores, quality trends, and agent performance over time., • Configure CloudWatch alarms and notification mechanisms to detect quality degradation, performance regressions, and reliability issues., • Collaborate with AI engineers to define evaluation thresholds, release criteria, and quality acceptance standards., • Support platform-wide observability by integrating evaluation results into monitoring and operational reporting workflows., • Analyze evaluation outcomes and identify quality regressions across agent versions, prompts, tools, and workflows., • Develop and maintain automation that enables continuous validation of AI systems throughout the software delivery lifecycle., • Partner with platform and DevOps teams to improve deployment safety, operational readiness, and governance controls for AI workloads., • Contribute to the evolution of enterprise AI quality engineering practices, deployment standards, and monitoring frameworks.

Senior ML / Evaluation Engineer Location: Remote from Spain (an indefinite Spanish employment contract) We are looking for a Senior ML / Evaluation Engineer to help define and implement quality standards for enterprise-grade AI agents and LLM-powered applications. In this role, you will design evaluation frameworks, build custom evaluation pipelines, and establish automated quality gates across the AI delivery lifecycle. You will work closely with AI Platform Engineers, ML Engineers, and DevOps teams to ensure reliable, measurable, and production-ready AI systems through scalable evaluation, observability, and governance practices. Project Overview: Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia's mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. Requirements: • 5+ years ML engineering or AI platform engineering, • LLM evaluation framework design and implementation, • Custom evaluator implementation for deterministic quality checks, • CI/CD deployment gate design for ML model or agent quality, • AWS AgentCore Evaluation (on-demand mode for CI/CD gates, online mode for production sampling), • LLM-as-judge evaluator design (built-in AgentCore evaluators — helpfulness, correctness), • Custom code-based Lambda evaluators (Python — deterministic checks), • Evaluation levels (TRACE for per-response, TOOL_CALL for per-invocation, SESSION for workflow), • OTel spans from AWS AgentCore Observability as evaluation input, • Enterprise evaluation standard authoring (mandatory dimensions, pass/fail criteria) Nice-to-have • AWS AgentCore Evaluation API hands-on (CreateEvaluation, GetEvaluationResult), • AWS Bedrock Guardrails for PII detection evaluator integration, • CloudWatch metrics output from AgentCore Evaluation for online mode Responsibilities: • Design, implement, and maintain enterprise-grade evaluation frameworks for LLMs, AI agents, and multi-step AI workflows., • Develop and optimize LLM-as-a-judge evaluators to assess dimensions such as helpfulness, correctness, consistency, and policy compliance., • Build custom Python-based evaluators using AWS Lambda to perform deterministic validation, business-rule enforcement, and workflow quality checks., • Define and implement evaluation standards, mandatory quality dimensions, scoring methodologies, and pass/fail criteria across AI platforms., • Design evaluation strategies at multiple levels, including TRACE, TOOL_CALL, and SESSION evaluation scopes., • Integrate evaluation workflows into CI/CD pipelines and establish automated deployment quality gates for AI-powered applications., • Leverage AWS AgentCore Evaluation capabilities to execute on-demand evaluations and support production quality monitoring., • Utilize observability data, OpenTelemetry traces, and AgentCore telemetry signals as evaluation inputs for quality assessment and root-cause analysis., • Collaborate with platform, security, and AI engineering teams to improve agent reliability, accuracy, and operational quality., • Analyze evaluation results, identify quality regressions, and drive corrective actions across models, prompts, tools, and workflows., • Define monitoring and reporting mechanisms for evaluation outcomes, quality trends, and operational KPIs., • Contribute to the evolution of enterprise AI governance, testing methodologies, and evaluation best practices.

Senior Security & Governance Engineer Location: Remote from Spain (an indefinite Spanish employment contract) We are looking for a Security & Governance Engineer to establish and enforce security controls, governance standards, and compliance requirements across AI platforms, APIs, and cloud-native services. The role focuses on authentication, authorization, data protection, network isolation, and security validation of enterprise integrations. The ideal candidate has strong cloud security expertise, deep knowledge of identity management, and experience participating in enterprise security review processes. Project Overview: Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia's mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. Requirements: • 4+ years application security or cloud security engineering, • Identity and access management (OAuth 2.0 / SigV4 / JWT security, OIDC), • TLS/mTLS configuration in cloud environments( TLS 1.3 enforcement), • Participation in InfoSec reviews for enterprise APIs, • IT-STD-317 / enterprise security standards, • Data classification for tool payloads, • Security testing (OWASP, pen-test methodology), • Network isolation (VPC, PrivateLink) Will be a plus: • MCP or tool-protocol security experience, • AWS WAF, Security Hub, Macie, • Prior work on enterprise AI platform governance Responsibilities: • Design and implement security controls for cloud-native applications, APIs, and AI platform integrations., • Define and enforce OAuth 2.0, JWT, OIDC, and SigV4 authentication and authorization standards., • Configure and maintain TLS 1.3 and secure communication channels across distributed systems., • Establish governance requirements for tool integrations, API interactions, and AI platform workloads., • Define and maintain data classification policies for tool payloads, metadata, and sensitive business information., • Design and implement network isolation strategies using VPCs, PrivateLink, and cloud-native security controls., • Perform security reviews, threat assessments, and architecture evaluations for enterprise services., • Conduct security testing activities, including penetration testing, OWASP-based assessments, and vulnerability validation., • Support InfoSec reviews, architecture review boards, and enterprise governance processes., • Develop security standards, implementation guidance, and compliance documentation., • Collaborate with engineering teams to embed security requirements into development and deployment workflows., • Monitor security posture and recommend improvements across cloud and AI platform environments., • Partner with stakeholders to ensure compliance with enterprise security policies and standards.

Senior ML / Evaluation Engineer Location: Remote from Spain (an indefinite Spanish employment contract) We are looking for a Senior ML / Evaluation Engineer to help define and implement quality standards for enterprise-grade AI agents and LLM-powered applications. In this role, you will design evaluation frameworks, build custom evaluation pipelines, and establish automated quality gates across the AI delivery lifecycle. You will work closely with AI Platform Engineers, ML Engineers, and DevOps teams to ensure reliable, measurable, and production-ready AI systems through scalable evaluation, observability, and governance practices. Project Overview: Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia's mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. Requirements: • 5+ years ML engineering or AI platform engineering, • LLM evaluation framework design and implementation, • Custom evaluator implementation for deterministic quality checks, • CI/CD deployment gate design for ML model or agent quality, • AWS AgentCore Evaluation (on-demand mode for CI/CD gates, online mode for production sampling), • LLM-as-judge evaluator design (built-in AgentCore evaluators — helpfulness, correctness), • Custom code-based Lambda evaluators (Python — deterministic checks), • Evaluation levels (TRACE for per-response, TOOL_CALL for per-invocation, SESSION for workflow), • OTel spans from AWS AgentCore Observability as evaluation input, • Enterprise evaluation standard authoring (mandatory dimensions, pass/fail criteria) Nice-to-have • AWS AgentCore Evaluation API hands-on (CreateEvaluation, GetEvaluationResult), • AWS Bedrock Guardrails for PII detection evaluator integration, • CloudWatch metrics output from AgentCore Evaluation for online mode Responsibilities: • Design, implement, and maintain enterprise-grade evaluation frameworks for LLMs, AI agents, and multi-step AI workflows., • Develop and optimize LLM-as-a-judge evaluators to assess dimensions such as helpfulness, correctness, consistency, and policy compliance., • Build custom Python-based evaluators using AWS Lambda to perform deterministic validation, business-rule enforcement, and workflow quality checks., • Define and implement evaluation standards, mandatory quality dimensions, scoring methodologies, and pass/fail criteria across AI platforms., • Design evaluation strategies at multiple levels, including TRACE, TOOL_CALL, and SESSION evaluation scopes., • Integrate evaluation workflows into CI/CD pipelines and establish automated deployment quality gates for AI-powered applications., • Leverage AWS AgentCore Evaluation capabilities to execute on-demand evaluations and support production quality monitoring., • Utilize observability data, OpenTelemetry traces, and AgentCore telemetry signals as evaluation inputs for quality assessment and root-cause analysis., • Collaborate with platform, security, and AI engineering teams to improve agent reliability, accuracy, and operational quality., • Analyze evaluation results, identify quality regressions, and drive corrective actions across models, prompts, tools, and workflows., • Define monitoring and reporting mechanisms for evaluation outcomes, quality trends, and operational KPIs., • Contribute to the evolution of enterprise AI governance, testing methodologies, and evaluation best practices.

Join to apply for the Mulesoft Technical Lead role at dentsu Omega CRM is a Merkle & Dentsu company, leader in development of Customer Experience services, with +20 years of experience in the use of Technology applied to Marketing and providing a unique Customer Relationship with mainly focus on Innovation is looking for a Mulesoft Technical Lead. • Provide support to the sales and functional team in assigned accounts when technical knowledge of the solution is required: Solution design, estimation, and assumptions., • Support the PM/DM in technical leadership on the project, bringing comprehensive technical knowledge of the platform and identifying the best solution to meet the project's functional demands., • Detect and notify risks in the technical management of project/client profitability., • Ensure the smooth progress of the project in terms of Scope, Schedule, and Costs., • Alerting and anticipating possible deviations to the Project Manager/Delivery Manager., • Ensure the fulfillment of the project's technical objectives., • Ensure compliance with the agreed software quality standards with Omega's Technical Management., • Supervise the effort estimations of the development and support team during the testing phase of a project., • Collaborate with the PM/DM in project demos for the client., • Ensure the final delivery of technical documentation for a project., • Participate in the development and training of the technical team, advising them to improve their technical skills., • Identify possible technical Up & Cross Selling opportunities., • Identify possible methodological improvements for the technical team., • Collaborate in Omega's community of practice, providing thought leadership, training, and mentoring to other collaborators to develop technical capabilities., • At least 3+ years of experience in a similar role., • Experience in full stack development., • Experience in REST and SOAP services standards., • Excellent analytical and problem-solving skills., • Ability to propose solutions and explain the advantages., • Ability to adapt quickly to new technologies and changing business requirements., • Strong experience in integrations with Rest API, SOAP to Salesforce or other CRM vendors., • Experience with different integration platforms as Talend or Informatica Powercenter and data integration tools as Talend or Informatica Powercenter., • Understanding of both DevOps/Agile (SCRUM) and Waterfall delivery principles and the importance of SDLC (Software Development Process) and coding methodology principles is a plus., • Should be able to work in a self-managing way and should take accountability of all assigned applications., • Excellent spoken and written English., • Experience working in an international and intercultural environment and availability to travel., • Mulesoft certification is a plus., • Permanent contract., • Flexible Schedule. We make it easy. Balance your professional and personal life., • Trainings & Certifications. Improve your skills and get the official certificate from our main partners., • Home Office., • Flexible retribution (public transport ticket, Ticket restaurant, …)., • Health insurance., • OMEGA in action. Our commitment to a better society is not just an intention. Omega CRM, a Merkle Company, is a global digital company specialising in accelerating the Business Experience (BX) of our clients through customer-centric solutions, technology, and data – all enhanced by AI. Together with Merkle, we form the largest Customer Experience Management (CXM) agency in Spain, and as part of the dentsu group, we offer end-to-end solutions that integrate media, creativity, content, technology, and strategy to deliver real business impact. With over 23 years of experience, a team of 580+ professionals from 24 nationalities, and 2,500+ certifications, Omega CRM is a recognised leader in the Salesforce ecosystem in Spain. We operate across key industries including Retail, Healthcare, Pharma, Real Estate, Education, and Non-Profit, delivering omnichannel experiences in Customer Service, eCommerce, Marketing, and Analytics. Client satisfaction is at our core (rating: 4.9/5), and we’ve been recognised with awards such as Salesforce Partner of the Year FY23 and Most Innovative Project (Iberia). At Omega CRM, we believe in growth through people – guided by our values: #Talent, #Flexibility, #Commitment, and #Innovation. We grow #Together. • Not Applicable, • Other, • Engineering and Information Technology, • Advertising Services Referrals increase your chances of interviewing at the dentsu by 2x #J-18808-Ljbffr

Buscamos un/a Category Manager para nuestra vertical de Fútbol que lidere la estrategia, las compras y la gestión de la categoría en la línea de Football Footwear. Reportando directamente a la Football Category Director y desde nuestros Headquarters en Zaragoza, desempeñarás un papel clave en alinear la disponibilidad de producto con la demanda del consumidor, asegurando que el producto adecuado esté disponible en la localización correcta, en el momento adecuado y con la cantidad optima, minimizando roturas de stock y exceso de inventario. • Definir y ejecutar la estrategia de la categoría por canal y mercado en línea con los objetivos de la empresa, • Construir un surtido de producto atractivo y competitivo con las principales marcas, • Actuar como punto de contacto principal para proveedores y marcas colaboradoras, • Asistir a las diferentes reuniones de compra (sell-in) de las marcaspara identificar lanzamientos clave y tendencias, • Liderar el proceso completo de compra de la categoría, incluyendo: 1. Planificación del surtido dentro del OTB (Open to Buy); 2. Selección del surtido para maximizar ventas y rentabilidad; 3. Realizar análisis periódicos del rendimiento de la categoría y de ventas, • Gestionar la asignación y distribución de producto entre canales y mercados, • Dar seguimiento a solicitudes de tiendas en línea con la estrategia de la categoría, • Asegurar una comunicación clara hacia ambos canales (eCom y Retail) respecto a lanzamientos de producto, oportunidades comerciales, actualizaciones estratégicas, • Impartir formación de producto estacional a los equipos de retail, • Monitorizar el rendimiento de ventas (sell-out) y tomar acciones correctivas cuando sea necesario, • Recoger insights y aplicar aprendizajes para temporadas futuras, • Reportar el rendimiento de la categoría y actualizaciones clave a la dirección (SLT), • Revisión de oferta de producto y precios en campañas comerciales clave (ejemplo: MSS, EOSS, Black Friday, etc.), • Trabajar estrechamente con Marketing para asegurar una ejecución sólida de campañas y lanzamientos clave, • Colaborar con los equipos de eCommerce y Retail para monitorizar el rendimiento y reaccionar rápidamente a tendencias, • Alinear a todos los stakeholders para impulsar el crecimiento de la categoría y maximizar el impacto comercial, • Trabajar conjuntamente con Demand Planning durante la temporada para asegurar un OTB preciso en su categoría, revisando con ellos stock y plan de ventas, así como reposiciones evitando roturas de stock, • Hacer seguimiento de pedidos (sell-in) y asegurar entregas puntuales, • Mantener y gestionar el calendario de lanzamientos de la categoría entre departamentos (Marketing, eCommerce, Retail), • Proporcionar informes mensuales de ventas (sell-out) a las marcas, • Identificar y resolver de forma proactiva problemas de suministro o entregas, • Supervisar niveles de stock y tomar acciones oportunas (promociones, devoluciones, cancelaciones, reposiciones), • Identificar y evaluar nuevas oportunidades de negocio dentro del ámbito de la categoría, • Explorar oportunidades de desarrollo de nuevos productos, • Liderar negociaciones con nuevas marcas, incluyendo condiciones comerciales y acuerdos de colaboración, • Contrato indefinido, • Rango salarial dividido en un fijo + bonus 10% en base a objetivos, • Híbrido, • Flexibilidad horaria: puedes entrar de lunes a viernes entre las 7.00h y las 9.30h y a partir de aquí, te gestionas como quieras, • Descuento de empleado (30%), • Nivel nativo o bilingüe de español, • Nivel avanzado de inglés para reuniones y presentaciones con marcas y proveedores, • +5 años de experiencia en compras / gestión de categoría / merchandising, • Experiencia en retail y e-commerce, • Sólido conocimiento de producto y pasión por el fútbol, • Habilidades de negociación y gestión de stakeholders, • Fuerte orientación comercial (ventas, margen, gestión de stock, análisis), • Excelentes capacidades analíticas y de toma de decisiones, • Habilidades de gestión de proyectos y trabajo transversal (Cross functional), • Conocimiento de supply chain y gestión de inventario, • Mentalidad de liderazgo con capacidad de influir e inspirar equipos, • Conocimiento de Power BI y nivel avanzado de Excel, • Y lo más importante, pasión e inmersión en el mundo del Fútbol #J-18808-Ljbffr

Observability Engineer - Telemetry Extension & ADOT Pipeline Location: Remote from Spain (an indefinite Spanish employment contract) We are looking for an Observability Engineer - Telemetry Extension & ADOT Pipeline to build and extend telemetry capabilities for enterprise AI and cloud-native platforms. In this role, you will focus on designing scalable observability pipelines, extending OpenTelemetry instrumentation, and developing reusable telemetry components that provide actionable insights into distributed systems. You will work closely with platform, AI, and DevOps teams to create flexible, configurable telemetry solutions that support performance monitoring, troubleshooting, and operational excellence at scale. Project Overview: Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia's mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. Requirements: • 4+ years of observability or platform engineering, • ADOT or OTel collector pipeline design, • Python SDK or library development, • AWS Distro for OpenTelemetry (ADOT) collector configuration (pipelines, processors, exporters), • OpenTelemetry SDK extension patterns (custom metrics, custom spans, configurable telemetry), • AWS CloudWatch Metrics and X-Ray export pipelines, • YAML-driven telemetry configuration schemas Nice to have: • Strands or LangGraph framework familiarity, • Customer-facing SDK extensibility patterns, • CloudWatch custom metrics and dimensions Responsibilities: • Design and implement observability solutions for AI platforms, agent-based systems, and distributed cloud-native applications., • Instrument Python services using OpenTelemetry SDK and AWS Distro for OpenTelemetry (ADOT)., • Develop and maintain distributed tracing solutions using AWS X-Ray and OpenTelemetry., • Configure telemetry collection, propagation, and export pipelines across AWS environments., • Implement and maintain CloudWatch dashboards, metrics, logs, and alerting strategies for operational visibility and troubleshooting., • Establish monitoring standards for AI agents, tool invocations, workflow execution, and service-to-service communication., • Integrate observability capabilities with AWS AgentCore Observability and related platform services., • Ensure proper W3C Trace Context and Baggage propagation across applications, APIs, and agent workflows., • Instrument LangChain-based applications and AI services to capture traces, metrics, and execution insights., • Partner with AI engineers and platform teams to identify performance bottlenecks, reliability issues, and optimization opportunities., • Build structured logging and telemetry standards that support debugging, root-cause analysis, and operational governance., • Contribute to observability best practices, platform standards, and engineering guidelines for AI and cloud-native systems.

Senior Security & Governance Engineer Location: Remote from Spain (an indefinite Spanish employment contract) We are looking for a Security & Governance Engineer to establish and enforce security controls, governance standards, and compliance requirements across AI platforms, APIs, and cloud-native services. The role focuses on authentication, authorization, data protection, network isolation, and security validation of enterprise integrations. The ideal candidate has strong cloud security expertise, deep knowledge of identity management, and experience participating in enterprise security review processes. Project Overview: Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia's mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. Requirements: • 4+ years application security or cloud security engineering, • Identity and access management (OAuth 2.0 / SigV4 / JWT security, OIDC), • TLS/mTLS configuration in cloud environments( TLS 1.3 enforcement), • Participation in InfoSec reviews for enterprise APIs, • IT-STD-317 / enterprise security standards, • Data classification for tool payloads, • Security testing (OWASP, pen-test methodology), • Network isolation (VPC, PrivateLink) Will be a plus: • MCP or tool-protocol security experience, • AWS WAF, Security Hub, Macie, • Prior work on enterprise AI platform governance Responsibilities: • Design and implement security controls for cloud-native applications, APIs, and AI platform integrations., • Define and enforce OAuth 2.0, JWT, OIDC, and SigV4 authentication and authorization standards., • Configure and maintain TLS 1.3 and secure communication channels across distributed systems., • Establish governance requirements for tool integrations, API interactions, and AI platform workloads., • Define and maintain data classification policies for tool payloads, metadata, and sensitive business information., • Design and implement network isolation strategies using VPCs, PrivateLink, and cloud-native security controls., • Perform security reviews, threat assessments, and architecture evaluations for enterprise services., • Conduct security testing activities, including penetration testing, OWASP-based assessments, and vulnerability validation., • Support InfoSec reviews, architecture review boards, and enterprise governance processes., • Develop security standards, implementation guidance, and compliance documentation., • Collaborate with engineering teams to embed security requirements into development and deployment workflows., • Monitor security posture and recommend improvements across cloud and AI platform environments., • Partner with stakeholders to ensure compliance with enterprise security policies and standards.

Platform Engineer (Semantic Discovery & Credentials) Location: Remote from Spain (an indefinite Spanish employment contract) We are looking for a Platform Engineer to build secure discovery and credential management capabilities for enterprise AI platforms. The role focuses on semantic search, vector-based discovery, secrets management, credential access services, and AI tool classification. The ideal candidate has hands-on experience with Python backend development, secrets management solutions, and modern semantic search technologies. Project Overview: Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia's mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. Requirements: • 4+ years platform or backend engineering, • Secrets management (Vault or AWS Secrets Manager), • Vector search or semantic search implementation, • Semantic discovery implementation (vector embeddings, OpenSearch or pgvector), • Vault (HashiCorp) integration for credential management, • AWS Secrets Manager as an alternative, • Python credential retrieval API, • MCP server capability and semantic domain taxonomy Will be a plus: • AWS Bedrock embedding models for semantic indexing, • OpenSearch Service or pgvector on RDS, • OAuth token lifecycle management Responsibilities: • Design and implement semantic discovery capabilities for MCP servers, tools, and agent ecosystems., • Build and maintain vector-based search solutions using embeddings, OpenSearch, pgvector, or similar technologies., • Develop metadata taxonomies and capability classification models for MCP services and AI tools., • Design and implement secure credential retrieval services using Python and cloud-native architectures., • Integrate HashiCorp Vault and AWS Secrets Manager to support secure secret storage and access management., • Build APIs for credential retrieval, access validation, and secure secret consumption., • Implement governance controls for credentials, service identities, and tool access policies., • Design semantic indexing pipelines and relevance-ranking strategies for discovery services., • Collaborate with platform, security, and AI engineering teams to establish discovery and credential management standards., • Implement observability, auditability, and monitoring for secret access and discovery workflows., • Support lifecycle management of credentials, service identities, and access tokens across distributed systems., • Produce technical documentation, architecture guidelines, and operational playbooks.

Senior Security & Governance Engineer Location: Remote from Spain (an indefinite Spanish employment contract) We are looking for a Security & Governance Engineer to establish and enforce security controls, governance standards, and compliance requirements across AI platforms, APIs, and cloud-native services. The role focuses on authentication, authorization, data protection, network isolation, and security validation of enterprise integrations. The ideal candidate has strong cloud security expertise, deep knowledge of identity management, and experience participating in enterprise security review processes. Project Overview: Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia's mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. Requirements: • 4+ years application security or cloud security engineering, • Identity and access management (OAuth 2.0 / SigV4 / JWT security, OIDC), • TLS/mTLS configuration in cloud environments( TLS 1.3 enforcement), • Participation in InfoSec reviews for enterprise APIs, • IT-STD-317 / enterprise security standards, • Data classification for tool payloads, • Security testing (OWASP, pen-test methodology), • Network isolation (VPC, PrivateLink) Will be a plus: • MCP or tool-protocol security experience, • AWS WAF, Security Hub, Macie, • Prior work on enterprise AI platform governance Responsibilities: • Design and implement security controls for cloud-native applications, APIs, and AI platform integrations., • Define and enforce OAuth 2.0, JWT, OIDC, and SigV4 authentication and authorization standards., • Configure and maintain TLS 1.3 and secure communication channels across distributed systems., • Establish governance requirements for tool integrations, API interactions, and AI platform workloads., • Define and maintain data classification policies for tool payloads, metadata, and sensitive business information., • Design and implement network isolation strategies using VPCs, PrivateLink, and cloud-native security controls., • Perform security reviews, threat assessments, and architecture evaluations for enterprise services., • Conduct security testing activities, including penetration testing, OWASP-based assessments, and vulnerability validation., • Support InfoSec reviews, architecture review boards, and enterprise governance processes., • Develop security standards, implementation guidance, and compliance documentation., • Collaborate with engineering teams to embed security requirements into development and deployment workflows., • Monitor security posture and recommend improvements across cloud and AI platform environments., • Partner with stakeholders to ensure compliance with enterprise security policies and standards.

Platform Engineer — CI/CD Gate & Online Evaluation Location: Remote from Spain (an indefinite Spanish employment contract) We are looking for a Platform Engineer — CI/CD Gate & Online Evaluation to help establish automated quality controls for enterprise AI platforms and agent-based systems. In this role, you will integrate evaluation workflows into deployment pipelines, configure online quality monitoring, and build operational visibility for AI performance and reliability. You will work closely with platform, DevOps, AI engineering, and governance teams to ensure that AI agents meet quality standards before and after production deployment. Project Overview: Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia's mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. Requirements: • 4+ years platform or DevOps engineering, • CI/CD pipeline integration for quality gates, • CloudWatch dashboard and alarm design, • AWS AgentCore Evaluation API (on-demand mode — CreateEvaluation in CI/CD pipelines), • GitHub Actions integration for evaluation deployment gate, • Online evaluation configuration (AgentCore online mode, configurable sampling rate), • CloudWatch dashboards for per-agent per-evaluator evaluation scores over time, • CloudWatch alarm configuration for quality degradation thresholds Nice-to-have: • AWS AgentCore Evaluation online mode sampling configuration, • AWS AgentCore Runtime version comparison using evaluation (regression detection), • CloudWatch EMF for structured evaluation score metrics Responsibilities: • Design and implement CI/CD quality gates using AWS AgentCore Evaluation to validate AI agents and workflows before deployment., • Integrate evaluation execution into GitHub Actions and deployment pipelines to support automated release decisions., • Configure and maintain on-demand evaluation workflows for pre-release quality validation and regression detection., • Implement and manage online evaluation capabilities, including production sampling strategies and evaluation scheduling., • Build CloudWatch dashboards that provide visibility into evaluation scores, quality trends, and agent performance over time., • Configure CloudWatch alarms and notification mechanisms to detect quality degradation, performance regressions, and reliability issues., • Collaborate with AI engineers to define evaluation thresholds, release criteria, and quality acceptance standards., • Support platform-wide observability by integrating evaluation results into monitoring and operational reporting workflows., • Analyze evaluation outcomes and identify quality regressions across agent versions, prompts, tools, and workflows., • Develop and maintain automation that enables continuous validation of AI systems throughout the software delivery lifecycle., • Partner with platform and DevOps teams to improve deployment safety, operational readiness, and governance controls for AI workloads., • Contribute to the evolution of enterprise AI quality engineering practices, deployment standards, and monitoring frameworks.

Omega CRM Consulting is looking for a IT Security & Legal Compliance Specialist that would like to collaborate with one of the top global pharmaceutical companies. Tasks & Responsabilities • Support the global operation, administration of Microsoft Purview Insider Risk Management and related processes in alignment with applicable regulatory, data privacy, and internal governance requirements., • Continuous improvement and optimizing of IRM policies and related processes, including indicators, thresholds, escalation paths, and maintaining/updating documentation., • Maintain confidentiality safeguards and ensure auditability for IRM-related activities and case information., • Coordinate across Legal, Compliance, Human Resources, IT Security, and other business stakeholders to align IRM processes with approved governance standards., • Monitor, triage, and document IRM alerts and cases in accordance with approved procedures, and collaborate with authorized teams on escalations., • Support follow-up investigation workflows arising from IRM alerts, including evidence collection and analysis of technical log files and other relevant data sources., • Prepare recurring metrics, reports, and status updates on alert trends, case volumes, process effectiveness, and improvement opportunities., • Drive testing, validation, change management, and user readiness for new or updated IRM policies, features, and operating procedures. Skills & Experience • Experience with Microsoft Purview Insider Risk Management, Microsoft 365 compliance solutions, or comparable insider risk or data protection platforms., • Understanding of insider risk management concepts, including risk indicators, policy configuration, alert triage, case management, escalation workflows and audit-ready documentation., • Knowledge of Microsoft 365 workloads and signals, including Exchange Online, Teams, SharePoint Online, OneDrive, Entra ID, Microsoft Defender, and endpoint-related activity, as they relate to insider risk scenarios., • Strong understanding of privacy-by-design, proportionality, responsible investigation practices, and confidentiality controls (e.g. least privilege, role-based access controls)., • High discretion and sound judgment when handling sensitive employee-related matters and confidential case information., • Ability to coordinate across global teams and manage multiple stakeholders in time-critical contexts., • Strong analytical and problem-solving skills, with a focus on documentation accuracy, process discipline, and quality of work products., • Strong ownership of assigned topics, combined with a proactive and self-directed working style., • Ability to communicate effectively in written and spoken English., • Familiarity with eDiscovery or Digital Forensic processes is beneficial, particularly for matters that may require escalation to adjacent IT Legal capabilities. What do We offer • Permanent contract., • Flexible Schedule. We make it easy. Balance your professional and personal life., • Trainings & Certifications. Improve your skills and get the official certificate from our main partners., • Home Office., • Flexible retribution (public transport ticket, Ticket restaurant, …)., • Health insurance., • OMEGA in action. Our commitment to a better society is not just an intention. About us Omega CRM, a Merkle Company, is a global digital company specialising in accelerating the Business Experience (BX) of our clients through customer-centric solutions, technology, and data – all enhanced by AI. Together with Merkle, we form the largest Customer Experience Management (CXM) agency in Spain, and as part of the dentsu group, we offer end-to-end solutions that integrate media, creativity, content, technology, and strategy to deliver real business impact. With over 23 years of experience, a team of 580+ professionals from 24 nationalities, and 2,500+ certifications, Omega CRM is a recognised leader in the Salesforce ecosystem in Spain. We operate across key industries including Retail, Healthcare, Pharma, Real Estate, Education, and Non-Profit, delivering omnichannel experiences in Customer Service, eCommerce, Marketing, and Analytics. Client satisfaction is at our core (rating: 4.9/5), and we’ve been recognised with awards such as Salesforce Partner of the Year FY23 and Most Innovative Project (Iberia). At Omega CRM, we believe in growth through people – guided by our values: #Talent, #Flexibility, #Commitment, and #Innovation. We grow #Together.

Omega CRM Consulting is looking for a IT Security & Legal Compliance Specialist that would like to collaborate with one of the top global pharmaceutical companies. Tasks & Responsabilities • Support the global operation, administration of Microsoft Purview Insider Risk Management and related processes in alignment with applicable regulatory, data privacy, and internal governance requirements., • Continuous improvement and optimizing of IRM policies and related processes, including indicators, thresholds, escalation paths, and maintaining/updating documentation., • Maintain confidentiality safeguards and ensure auditability for IRM-related activities and case information., • Coordinate across Legal, Compliance, Human Resources, IT Security, and other business stakeholders to align IRM processes with approved governance standards., • Monitor, triage, and document IRM alerts and cases in accordance with approved procedures, and collaborate with authorized teams on escalations., • Support follow-up investigation workflows arising from IRM alerts, including evidence collection and analysis of technical log files and other relevant data sources., • Prepare recurring metrics, reports, and status updates on alert trends, case volumes, process effectiveness, and improvement opportunities., • Drive testing, validation, change management, and user readiness for new or updated IRM policies, features, and operating procedures. Skills & Experience • Experience with Microsoft Purview Insider Risk Management, Microsoft 365 compliance solutions, or comparable insider risk or data protection platforms., • Understanding of insider risk management concepts, including risk indicators, policy configuration, alert triage, case management, escalation workflows and audit-ready documentation., • Knowledge of Microsoft 365 workloads and signals, including Exchange Online, Teams, SharePoint Online, OneDrive, Entra ID, Microsoft Defender, and endpoint-related activity, as they relate to insider risk scenarios., • Strong understanding of privacy-by-design, proportionality, responsible investigation practices, and confidentiality controls (e.g. least privilege, role-based access controls)., • High discretion and sound judgment when handling sensitive employee-related matters and confidential case information., • Ability to coordinate across global teams and manage multiple stakeholders in time-critical contexts., • Strong analytical and problem-solving skills, with a focus on documentation accuracy, process discipline, and quality of work products., • Strong ownership of assigned topics, combined with a proactive and self-directed working style., • Ability to communicate effectively in written and spoken English., • Familiarity with eDiscovery or Digital Forensic processes is beneficial, particularly for matters that may require escalation to adjacent IT Legal capabilities. What do We offer • Permanent contract., • Flexible Schedule. We make it easy. Balance your professional and personal life., • Trainings & Certifications. Improve your skills and get the official certificate from our main partners., • Home Office., • Flexible retribution (public transport ticket, Ticket restaurant, …)., • Health insurance., • OMEGA in action. Our commitment to a better society is not just an intention. About us Omega CRM, a Merkle Company, is a global digital company specialising in accelerating the Business Experience (BX) of our clients through customer-centric solutions, technology, and data – all enhanced by AI. Together with Merkle, we form the largest Customer Experience Management (CXM) agency in Spain, and as part of the dentsu group, we offer end-to-end solutions that integrate media, creativity, content, technology, and strategy to deliver real business impact. With over 23 years of experience, a team of 580+ professionals from 24 nationalities, and 2,500+ certifications, Omega CRM is a recognised leader in the Salesforce ecosystem in Spain. We operate across key industries including Retail, Healthcare, Pharma, Real Estate, Education, and Non-Profit, delivering omnichannel experiences in Customer Service, eCommerce, Marketing, and Analytics. Client satisfaction is at our core (rating: 4.9/5), and we’ve been recognised with awards such as Salesforce Partner of the Year FY23 and Most Innovative Project (Iberia). At Omega CRM, we believe in growth through people – guided by our values: #Talent, #Flexibility, #Commitment, and #Innovation. We grow #Together.

Observability Engineer - Telemetry Extension & ADOT Pipeline Location: Remote from Spain (an indefinite Spanish employment contract) We are looking for an Observability Engineer - Telemetry Extension & ADOT Pipeline to build and extend telemetry capabilities for enterprise AI and cloud-native platforms. In this role, you will focus on designing scalable observability pipelines, extending OpenTelemetry instrumentation, and developing reusable telemetry components that provide actionable insights into distributed systems. You will work closely with platform, AI, and DevOps teams to create flexible, configurable telemetry solutions that support performance monitoring, troubleshooting, and operational excellence at scale. Project Overview: Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia's mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. Requirements: • 4+ years of observability or platform engineering, • ADOT or OTel collector pipeline design, • Python SDK or library development, • AWS Distro for OpenTelemetry (ADOT) collector configuration (pipelines, processors, exporters), • OpenTelemetry SDK extension patterns (custom metrics, custom spans, configurable telemetry), • AWS CloudWatch Metrics and X-Ray export pipelines, • YAML-driven telemetry configuration schemas Nice to have: • Strands or LangGraph framework familiarity, • Customer-facing SDK extensibility patterns, • CloudWatch custom metrics and dimensions Responsibilities: • Design and implement observability solutions for AI platforms, agent-based systems, and distributed cloud-native applications., • Instrument Python services using OpenTelemetry SDK and AWS Distro for OpenTelemetry (ADOT)., • Develop and maintain distributed tracing solutions using AWS X-Ray and OpenTelemetry., • Configure telemetry collection, propagation, and export pipelines across AWS environments., • Implement and maintain CloudWatch dashboards, metrics, logs, and alerting strategies for operational visibility and troubleshooting., • Establish monitoring standards for AI agents, tool invocations, workflow execution, and service-to-service communication., • Integrate observability capabilities with AWS AgentCore Observability and related platform services., • Ensure proper W3C Trace Context and Baggage propagation across applications, APIs, and agent workflows., • Instrument LangChain-based applications and AI services to capture traces, metrics, and execution insights., • Partner with AI engineers and platform teams to identify performance bottlenecks, reliability issues, and optimization opportunities., • Build structured logging and telemetry standards that support debugging, root-cause analysis, and operational governance., • Contribute to observability best practices, platform standards, and engineering guidelines for AI and cloud-native systems.

Platform Engineer — CI/CD Gate & Online Evaluation Location: Remote from Spain (an indefinite Spanish employment contract) We are looking for a Platform Engineer — CI/CD Gate & Online Evaluation to help establish automated quality controls for enterprise AI platforms and agent-based systems. In this role, you will integrate evaluation workflows into deployment pipelines, configure online quality monitoring, and build operational visibility for AI performance and reliability. You will work closely with platform, DevOps, AI engineering, and governance teams to ensure that AI agents meet quality standards before and after production deployment. Project Overview: Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia's mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. Requirements: • 4+ years platform or DevOps engineering, • CI/CD pipeline integration for quality gates, • CloudWatch dashboard and alarm design, • AWS AgentCore Evaluation API (on-demand mode — CreateEvaluation in CI/CD pipelines), • GitHub Actions integration for evaluation deployment gate, • Online evaluation configuration (AgentCore online mode, configurable sampling rate), • CloudWatch dashboards for per-agent per-evaluator evaluation scores over time, • CloudWatch alarm configuration for quality degradation thresholds Nice-to-have: • AWS AgentCore Evaluation online mode sampling configuration, • AWS AgentCore Runtime version comparison using evaluation (regression detection), • CloudWatch EMF for structured evaluation score metrics Responsibilities: • Design and implement CI/CD quality gates using AWS AgentCore Evaluation to validate AI agents and workflows before deployment., • Integrate evaluation execution into GitHub Actions and deployment pipelines to support automated release decisions., • Configure and maintain on-demand evaluation workflows for pre-release quality validation and regression detection., • Implement and manage online evaluation capabilities, including production sampling strategies and evaluation scheduling., • Build CloudWatch dashboards that provide visibility into evaluation scores, quality trends, and agent performance over time., • Configure CloudWatch alarms and notification mechanisms to detect quality degradation, performance regressions, and reliability issues., • Collaborate with AI engineers to define evaluation thresholds, release criteria, and quality acceptance standards., • Support platform-wide observability by integrating evaluation results into monitoring and operational reporting workflows., • Analyze evaluation outcomes and identify quality regressions across agent versions, prompts, tools, and workflows., • Develop and maintain automation that enables continuous validation of AI systems throughout the software delivery lifecycle., • Partner with platform and DevOps teams to improve deployment safety, operational readiness, and governance controls for AI workloads., • Contribute to the evolution of enterprise AI quality engineering practices, deployment standards, and monitoring frameworks.

Somos una empresa del sector cosmético y buscamos un/a Diseñador/a Gráfico/a con experiencia en marketing digital que quiera formar parte de nuestro proyecto y ayudarnos a seguir creciendo. Creación de campañas de marketing (ecommerce y puntos de venta). Formación en marketing digital (valorab

Somos una empresa del sector cosmético y buscamos un/a Diseñador/a Gráfico/a con experiencia en marketing digital que quiera formar parte de nuestro proyecto y ayudarnos a seguir creciendo. Creación de campañas de marketing (ecommerce y puntos de venta). Formación en marketing digital (valorab