20 melhores vagas de applications engineering, sr engineer para lisboa, p11 (Contratando agora!)

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Sr. Specialist Software Engineer

Amgen -
Lisboa

Candidate-se agora

Detalhes da oferta

Qualificações

Doutoramento
Mestrado
Graduação

Descrição completa da oferta

Portugal - Lisbon

JOB ID: R-240998 LOCATION: Portugal - Lisbon WORK LOCATION TYPE: On Site DATE POSTED: Jun. 01, 2026 CATEGORY: Information Systems SALARY RANGE: 39,972.95 EUR - 54,081.05 EUR

Join our team at AMGEN Capability Center Portugal, consistently recognized among the top companies in the Best Workplaces™ ranking by Great Place to Work® in Portugal. In 2026, we were once again distinguished as one of the top Best Workplaces in the country (category 201–500 employees), reinforcing our commitment to an exceptional employee experience and workplace culture.

We are a team of over 500 talented individuals, spanning more than 30 functions and areas of expertise, and representing over 40 nationalities. Together, we bring diverse perspectives and professional backgrounds to help shape the future of healthcare through innovation and technology.

This is your opportunity to explore a world of possibilities across areas such as Data & Analytics, Digital, Technology & Innovation, Cybersecurity, R&D Operations, Global Distribution, Finance, Regulatory Affairs, General & Administrative, Human Resources, and many more.

Located in the heart of Lisbon, our AMGEN office fosters a culture of innovation, excellence, and purpose. Come thrive with us at AMGEN, supporting our mission To Serve Patients.

What we do at AMGEN matters in people’s lives.

Sr. Specialist Software Engineer

Amgen is seeking a Specialist Software Engineer - Full Stack to design, develop, and support modern AI-enabled web applications that power Insights and Field Intelligence capabilities.

This role focuses on building scalable, responsive, and intelligent full-stack applications using React, Next.js, Node.js, and cloud-native technologies while integrating AI/ML capabilities such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and intelligent workflow automation.

The ideal candidate combines strong front-end and back-end engineering expertise with hands-on experience integrating AI services and APIs into enterprise applications. The successful candidate should have a passion for modern application development, AI innovation, and building intelligent systems that improve business productivity and decision-making.

Roles & Responsibilities:

Design, develop, and maintain scalable full-stack web applications using React.js, Next.js, Node.js, Typescript
Build responsive, mobile-first, and user-centric interfaces that support enterprise Insights and Field Intelligence use cases.
Develop reusable UI components, application frameworks, and shared libraries following modern front-end engineering best practices.
Design and develop secure and scalable backend services, APIs, and microservices using Node.js and REST/GraphQL architectures.
Implement server-side rendering (SSR), static site generation (SSG), and modern web optimization techniques using Next.js.
Ensure application scalability, performance optimization, accessibility, and cross-browser compatibility.
Design and develop AI-enabled applications leveraging Large Language Models (LLMs) such as OpenAI models and enterprise AI services.
Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.
Design and implement AI agent workflows and orchestration frameworks to automate business processes and insight generation.
Integrate AI capabilities into enterprise web applications, APIs, and workflows for real-time intelligence and automation.
Implement context management approaches such as Model Context Protocol (MCP) or similar AI orchestration frameworks.
Evaluate and adopt emerging AI technologies, frameworks, and engineering best practices.
Design, build, and maintain scalable APIs and backend integration services supporting enterprise and AI-driven applications.
Develop integrations with enterprise platforms including CRM, analytics, and business intelligence systems.
Build secure and reusable API services enabling AI-driven workflows and data access patterns.
Implement monitoring, logging, observability, and error handling across APIs and application services.
Leverage AWS cloud services to build scalable, resilient, and secure application platforms.
Implement CI/CD pipelines and DevOps best practices for application deployment and lifecycle management.
Support containerized application deployment using Docker and cloud-native deployment approaches.
Optimize application performance, scalability, and operational reliability in cloud environments.
Participate in agile ceremonies including sprint planning, backlog refinement, estimation, and retrospectives.
Create and maintain technical documentation including architecture diagrams, API specifications, deployment procedures, and operational guides.

Basic Qualifications and Experience:

Doctorate Degree OR
Master’s degree with 4 - 6 years of experience in Computer Science, IT or related field OR
Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT or related field

Functional Skills:

Must-Have Skills

Strong hands-on experience developing full-stack applications using React.js, Next.js, Node.js, Typescript, Javascript
Strong experience building scalable RESTful APIs and backend services
Hands-on experience building Retrieval-Augmented Generation (RAG) pipelines and integrating vector databases.
Understanding of AI agent architectures, orchestration frameworks, and context-aware AI systems.
Experience integrating AI capabilities into web applications, APIs, and enterprise workflows.
Experience with AWS cloud data platforms

Good-to-Have Skills:

Experience with machine learning workflows (Databricks ML, or similar)
Familiarity with Model Context Protocol (MCP) or similar AI context management approaches.
Knowledge of real-time/streaming architectures
Understanding of field analytics, CRM data models, or commercial insights use cases

Professional Certifications

Certified AWS Professional or Associate certification (Required)
OpenAI, Generative AI, or Cloud AI-related certification (Preferred)

Soft Skills:

Excellent critical-thinking and problem-solving skills
Strong communication and collaboration skills
Demonstrated awareness of how to function in a team setting
Demonstrated presentation skills

Thrive

What you can expect of us

As we work to develop treatments that take care of others, we also care deeply for our teammates’ well-being and growth.

Work That Matters – Build tech that accelerates scientific breakthroughs and helps patients worldwide.
Modern Tech Stack – Cloud-first, automation-focused, AI-powered.
Global Scale, Agile Mindset – Collaborate across continents while working in nimble, high-impact teams.
Continuous Learning – Access to certifications, trainings, mentorship, and career mobility.
AMGEN Total Rewards Plan – Comprehensive benefits in healthcare, finance, and well-being.
Flexibility – Hybrid work model with time split between our Lisbon office and remote work.

Objects in your future are closer than they appear. Join us.

CAREERS.AMGEN.COM

EQUAL OPPORTUNITY STATEMENT

AMGEN is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

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applications engineering, sr engineer vagas para: lisboa, p11

Sr. Specialist Software Engineer

Consulting & Transformation Principal

Senior Engineer - Product and Platform Engineering

Senior QA Engineer (Full-Stack, Automation-Heavy)

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Software Engineer II/III – Data Applications Development

Environmental Sustainability Engineer

ML Research Engineer

Software Engineer (DevOps) - Site Reliability

Data Engineer Trainee

Senior Software Engineer - REDAPL Graph Engine

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