20 publicaciones de empleo destacadas de technical lead java en 28044 madrid madrid provincia (¡Están contratando!)

AI Architect Engineer
Accenture —Madrid, Madrid provincia
- Jornada completa
- Java
- Máster
- APIs
14d
Applied Scientist, EU INTech Consumer Selection Discovery, EUIC - Personalization
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Investigación
- Java
Team Lead Software Engineer
Xe —Alcobendas, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Java
- SQL
- AWS
Solicitud rápida
Senior Testing Analyst
Hitachi Rail —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
- Seguro de vida
DevOps SME Lead
knowmad mood —Las Rozas de Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- DevOps
- Java
Senior Full Stack Engineer (Strong Frontend Expertise), Madrid (M, ES)
Swiss Re —Madrid, Madrid provincia
- De 60.000 € a 100.000 € al año
- Jornada completa
- Azure
- DevOps
- Java
11d
DevOps IoT Engineer – M2M
ESML SD Iberia Holding S A U —Pozuelo de Alarcón, Madrid provincia
- Jornada completa
- Azure
- Oracle
- DevOps
Solicitud rápida
Technical Program Manager
El Corte Inglés —Madrid, Madrid provincia
- Jornada completa
- Java
- Bases de datos
- Desarrollo de software
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Application Security Consultants - Application Security Testing
Accenture —Madrid, Madrid provincia
- Jornada completa
- Informática
- Java
- C++
Principal Software Engineer
Solera —Madrid, Madrid provincia
- Jornada completa
- Java
- JavaScript
- APIs
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
Software Development Engineer, Amazon Business
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Informática
- Java
- Máster
Fullstack Developer
Otto Group one.O Spain —Madrid, Madrid provincia
- De 30.000 € a 50.000 € al año
- Jornada completa
- Inglés
- Java
- SQL
- Teletrabajo opcional
Solicitud rápida
Principal Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Madrid, Madrid provincia
- Español
- Azure
- Inglés
Tech Lead IOT
Kairos Digital Solutions —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Java
- AWS
- Habilidades organizativas
- Seguro médico privado
Staff Software Engineer
Paymentology —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Informática
- Inglés
- Java
17h
Salesforce Tech Lead (Remote from Spain)
UST —Madrid, Madrid provincia
- Teletrabajo
- CRM software
- Azure
- Informática
- Abono gimnasio
Solicitud rápida
Senior QE Engineer
Enfuce —Madrid, Madrid provincia
- Teletrabajo
- Java
- AWS
- JavaScript
- Vacaciones pagadas
- Días de asuntos propios
Sr. Software Engineer, Python (Madrid-based)
Align Technology —Madrid, Madrid provincia
- Jornada completa
- Informática
- DevOps
- Inglés
Solicitud rápida
Principal Developer/Solution Architect
MET Group —Madrid, Madrid provincia
- Jornada completa
- Español
- Inglés
- Java
8d

Quiero recibir la alerta de empleo más reciente de technical lead java en 28044 madrid madrid provincia

Al iniciar sesión en tu cuenta, aceptas las Condiciones del servicio de SimplyHired, nuestra Política sobre cookies y nuestra Política de privacidad.

Explorar empleos en más ubicaciones

technical lead java jobs near 28044 madrid madrid provincia

Empleos de Senior Software Engineer en Madrid, Madrid Provincia

Empleos de Data Engineer en Madrid, Madrid Provincia

Empleos de Software Engineer en Madrid, Madrid Provincia

Empleos de Full Stack Developer en Madrid, Madrid Provincia

Empleos de Applied Scientist en Madrid, Madrid Provincia

Empleos de Technical Lead en Madrid, Madrid Provincia

Empleos de Jefe De Informática en Madrid, Madrid Provincia

Empleos de Solution Architect en Madrid, Madrid Provincia

Empleos de Senior Software Engineer en Barcelona, Barcelona Provincia

Empleos de Senior Software Engineer en Sant Quirze Del Vallès, Barcelona Provincia

Empleos de Senior Software Engineer en San Sebastián De Los Reyes, Madrid Provincia

Empleos de Simulation Engineer en Madrid Provincia

Empleos de Health, Field Service Engineer en Madrid, Madrid Provincia

Empleos de Software Engineer en En+remoto

Empleos de Software Engineer en Alicante, Alicante Provincia

Empleos de Software Engineer en Valencia, Valencia Provincia

Empleos de Software Engineer en Sant Cugat Del Vallès, Barcelona Provincia

Empleos de Electrical Engineer en Barcelona Provincia

Empleos de Ingeniero Software en Sevilla, Sevilla Provincia

Empleos de Staff Software Engineer en Remote

AI Architect Engineer

Accenture -
Madrid, Madrid provincia

Solicitar ahora

Detalles del empleo

Jornada completa
Hace 14 días

Cualificaciones

CI/CD
Derecho
Java
Máster
Arquitectura de microservicios
Docker
Terraform
SDKs
APIs
Cloud
Inteligencia artificial
Python
Debugging

Descripción completa del empleo

We are:

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.

You are

An AI Native Engineer with a strong foundation in building cloud-native solutions and hands-on experience designing and deploying agentic systems, especially for enterprise environments. You’re a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure.

You'll shape how enterprises adopt AI-native engineering - either by leading complex agentic solutions and developing engineering talent, or by owning critical technical areas end-to-end as a senior IC

The Work

You’ll partner directly with client stakeholders — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be net-new platforms and systems that need to be stitched together in our clients’ environments alongside our ecosystem partners.

Agent Architecture & Engineering

Design and build enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly.

AI Platform Integration

Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi-provider enablement.
Contribute to shared libraries, SDKs, and patterns that can be reused across clients.

Cloud-Native Engineering

Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems.
Own deployment, monitoring, and troubleshooting for your services in production.

Domain-Specific Workflows

Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain-specific processes and constraints.
Work closely with client SMEs to translate business workflows into agentic solutions.

Client Engagement

Participate in and/or lead design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
Communicate trade-offs, risks, and recommendations clearly to both technical and non-technical audiences.

Measure & Improve

Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
Iterate rapidly based on data, feedback, and changing requirements.

Knowledge Sharing

Craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps.
Contribute to internal communities of practice around AI-native and agentic engineering.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

Job Description
Job Description
We are:
A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality.
You are
An AI Native Engineer with a strong foundation in building cloud-native solutions and hands-on experience designing and deploying agentic systems, especially for enterprise environments. You’re a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure.
You'll shape how enterprises adopt AI-native engineering - either by leading complex agentic solutions and developing engineering talent, or by owning critical technical areas end-to-end as a senior IC
The Work
You’ll partner directly with client stakeholders — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be net-new platforms and systems that need to be stitched together in our clients’ environments alongside our ecosystem partners.
Agent Architecture & Engineering
Design and build enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
Implement resilient, testable, and maintainable agentic workflows that can be iterated on quickly.
AI Platform Integration
Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi-provider enablement.
Contribute to shared libraries, SDKs, and patterns that can be reused across clients.
Cloud-Native Engineering
Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems.
Own deployment, monitoring, and troubleshooting for your services in production.
Domain-Specific Workflows
Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain-specific processes and constraints.
Work closely with client SMEs to translate business workflows into agentic solutions.
Client Engagement
Participate in and/or lead design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
Communicate trade-offs, risks, and recommendations clearly to both technical and non-technical audiences.
Measure & Improve
Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
Iterate rapidly based on data, feedback, and changing requirements.
Knowledge Sharing
Craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps.
Contribute to internal communities of practice around AI-native and agentic engineering.
Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.
Job Qualifications
Job Qualifications
Key Responsibilities
Architect and govern production-grade agentic systems at enterprise scale: multi-agent orchestration across complex environments, RAG pipelines, policy-based routing, memory management, and programme-level lifecycle observability
Define RAG pipeline standards across engagements: establish chunking and embedding strategies, set quality benchmarks, and ensure metric-backed tradeoff decisions are documented and transferable
Set multi-LLM integration standards: vendor-agnostic architecture by default, fallback routing and cost governance as standard design practice across providers including OpenAI, Anthropic, Vertex AI, and open-source models
Own LLMOps at programme scale: eval strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent systems
Lead client engineering engagements at senior level — facilitate architecture design sessions, lead proof-of-concept delivery, and drive alignment between client technology leadership and delivery teams
Shape and publish reusable patterns, accelerators, and engineering standards that scale across the practice and reduce ramp-up time on new client engagements
Own the measurement framework for agentic system quality: define accuracy, latency, safety, and cost metrics; present programme-level AI impact in business terms to senior client stakeholders
Basic Qualifications
Strong software engineering experience in production environments
Hands-on experience designing and deploying agentic AI solutions in a production environment — non-negotiable
Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level
Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs
RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering
LLMOps fundamentals: eval harness design, prompt versioning, and production observability
Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm)
Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience
Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure
People lead responsibilities: experience managing, developing, and performance-managing a team of engineers; setting individual development plans and conducting career conversations

Solicitar ahora

Refina tu búsqueda

technical lead java empleos en 28044 madrid madrid provincia

AI Architect Engineer

Applied Scientist, EU INTech Consumer Selection Discovery, EUIC - Personalization

Team Lead Software Engineer

Senior Testing Analyst

DevOps SME Lead

Senior Full Stack Engineer (Strong Frontend Expertise), Madrid (M, ES)

DevOps IoT Engineer – M2M

Technical Program Manager

Application Security Consultants - Application Security Testing

Principal Software Engineer

Director, Data Engineering (Capital Markets)

Software Development Engineer, Amazon Business

Fullstack Developer

Principal Software Engineer - QuantumBlack, AI by McKinsey

Tech Lead IOT

Staff Software Engineer

Salesforce Tech Lead (Remote from Spain)

Senior QE Engineer

Sr. Software Engineer, Python (Madrid-based)

Principal Developer/Solution Architect

Quiero recibir la alerta de empleo más reciente de technical lead java en 28044 madrid madrid provincia

Related Searches

Explorar empleos en más ubicaciones

Key Responsibilities

Basic Qualifications

Herramientas para candidatos

Herramientas para empresas

Buscar

Mantener la conexión