Senior Cloud Security Engineer em Lisboa, Portugal

Career Category

Information Systems

Job Description

Join our team at AMGEN Capability Center Portugal , the #1 company in Best Workplaces™ (201–500 employees category) in 2024 by the Great Place to Work Institute. With over 400 talented individuals from more than 40 nationalities, our Lisbon center thrives at the intersection of innovation, excellence, and inspiration. This is your opportunity to explore the future of healthcare through technology and digital innovation, supporting our mission To Serve Patients.

Senior Cloud Security Engineer

At Amgen, technology is more than an enabler, it is a catalyst for discovery, transformation, and better patient outcomes. Every innovation you help deliver contributes to improving and saving lives.

If you're passionate about cloud security, automation, and solving complex security challenges at enterprise scale, we'd love to hear from you.

Live

What you will do

Amgen is seeking a Senior Cloud Security Engineer to join our Cloud Security Organization within the Global Cybersecurity and Digital Trust team. Based at our Lisbon Capability Center, you will play a key role in securing Amgen's global cloud platforms by designing, implementing, and continuously improving cloud security capabilities across AWS and other cloud environments.

Working closely with engineering, infrastructure, DevOps, and security teams, you will strengthen Amgen's cloud security posture through automation, secure-by-design architectures, and operational excellence. You will also help drive the responsible adoption of AI technologies to enhance cloud security engineering, accelerate risk identification, and continuously improve the security posture of Amgen's cloud environments.

Key Responsibilities

• Design, implement, and continuously improve secure cloud architectures across public, private, and hybrid cloud environments, aligned with enterprise security frameworks, Zero Trust principles, regulatory requirements, and industry best practices.
• Design and implement cloud network security architectures, including Zero Trust networking, micro‑segmentation, Web Application Firewalls (WAF), API security, secure hybrid connectivity, and network segmentation to protect cloud-native and hybrid workloads.
• Design, engineer, implement, and maintain cloud security controls, including Identity and Access Management (IAM), Privileged Access Management (PAM), network segmentation, encryption, key management (KMS/HSM), secrets management, and certificate lifecycle management to protect cloud-native applications and infrastructure.
• Implement and optimize cloud security posture management (CSPM), cloud workload protection (CWPP), vulnerability management, and automated compliance solutions to continuously identify, prioritize, and remediate security risks.
• Design, develop, and maintain secure Infrastructure as Code (IaC) solutions using Terraform, CloudFormation, and policy-as-code frameworks to automate cloud provisioning and enforce security guardrails.
• Develop and maintain cloud governance frameworks, security baselines, guardrails, and landing zones across AWS, Azure, and Google Cloud Platform.
• Design and implement cloud-native logging, monitoring, and detection capabilities by integrating services such as AWS CloudTrail, Azure Monitor, GCP Cloud Logging, and cloud-native security tools into centralized SIEM and SOC platforms to improve threat detection, incident response, and operational visibility.
• Collaborate with Application Security, DevOps, Platform Engineering, and Application Development teams to embed security throughout the Software Development Lifecycle (SDLC) by integrating automated security testing, Infrastructure as Code scanning, secrets management, dependency analysis, and container security into CI/CD pipelines.
• Design and implement security controls for containerized, Kubernetes, serverless, and cloud-native application environments, ensuring secure deployment, runtime protection, and policy enforcement.
• Partner with Security Operations (SOC) and Incident Response (IR) teams to investigate, analyze, and respond to cloud security incidents, perform forensic analysis, root cause investigations, and threat hunting, and implement corrective and preventive security controls to enhance cloud security posture, detection capabilities, and operational resilience.
• Lead cloud security architecture reviews for cloud-native platforms, Kubernetes environments, managed cloud services, APIs, AI services, and enterprise applications, ensuring alignment with enterprise security standards, regulatory requirements, and secure‑by‑design principles.
• Conduct threat modeling and cloud security risk assessments to identify security threats, design appropriate mitigations, and validate security controls for new cloud solutions, services, and architectures.
• Evaluate emerging cloud, AI, and cybersecurity technologies to drive continuous improvement, automation, innovation, and operational efficiency across cloud security capabilities.
• Design and implement security controls for cloud-native AI and machine learning services, including Generative AI, LLM integrations, AI orchestration platforms, and AI development pipelines, ensuring secure access, data protection, governance, and regulatory compliance.
• Partner with Data Engineering, AI, and Platform Engineering teams to secure enterprise AI platforms (e.g., Databricks), AI workflows, and AI automation solutions while evaluating emerging AI technologies to drive innovation, automation, and continuous improvement.
• Develop and automate cloud security capabilities using scripting, APIs, Infrastructure as Code, and security orchestration to improve operational efficiency, consistency, and scalability.
• Develop, maintain, and continuously improve cloud security standards, reference architectures, technical documentation, operational procedures, and security runbooks to support secure engineering and operational excellence.
• Provide technical leadership, mentoring, and subject matter expertise to engineering, operations, architecture, and product teams, promoting cloud security best practices and secure‑by‑design principles.
• Support internal and external security audits, compliance assessments, and regulatory initiatives by providing evidence of cloud security controls and ensuring adherence to applicable standards and policies.
• Participate in after‑hours support activities as required and travel occasionally.

What we expect of you

We value diverse perspectives and believe that every employee brings unique strengths to our mission of serving patients. The ideal candidate is a collaborative security professional with a strong technical foundation and a passion for cloud security.

Preferred Qualifications

• Strong understanding of core information security principles, including authentication, authorization, confidentiality, integrity, and availability.
• Solid knowledge of secure design principles, including least privilege, defense in depth, and secure‑by‑design practices.
• Good understanding of cryptography concepts, including encryption, certificate management, and key lifecycle management.
• Strong experience securing AWS environments, including Identity and Access Management (IAM), Data Security, Network Security, Compute/Workload Security, Security operations, and secure DevOps practices.
• Working knowledge of enterprise cloud platforms across IaaS, PaaS, and SaaS environments, including AWS, Azure, GCP, Salesforce, Microsoft 365, Rafay or similar technologies.
• Knowledge of AI security principles, including securing Generative AI, large language model (LLM) applications, AI/ML workloads, and AI orchestration platforms (e.g., Databricks and n8n) in cloud environments.
• Experience implementing security controls for cloud‑native AI services and platforms, including identity and access management, data protection, encryption, secrets management, API security, and network security.
• Experience securing AI development pipelines (MLOps/LLMOps), including Databricks ML workflows, supply chain security, model artifact protection, Infrastructure as Code (IaC), and CI/CD security.
• Experience securing AI orchestration and automation platforms (e.g., n8n), including workflow governance, API security, credential and secrets management, and secure integration with enterprise systems and LLM services.
• Experience securing managed AI services and platforms such as Amazon Bedrock, Amazon SageMaker, Azure OpenAI Service, Google Vertex AI, and Databricks.
• Knowledge of public, private, and hybrid cloud architectures, including cloud service models (IaaS, PaaS, and SaaS), infrastructure design, networking, scalability, and cloud security best practices.
• Knowledge of Identity Governance principles, including identity lifecycle management, authentication, authorization, privileged access management (PAM), and access governance.
• Knowledge of Cloud SIEM and SOC capabilities, including centralized logging, security monitoring, threat detection, incident response, and security analytics.
• Hands‑on experience with AWS core services related to compute, networking, storage, content delivery, automation, deployment, security, and operations.
• Experience developing cloud‑native applications using microservices architecture, container technologies (e.g., Docker), and serverless computing platforms (e.g., AWS Lambda).
• Strong knowledge and engineering expertise in designing, developing, automating, and operating AWS‑based solutions, with practical experience across EC2, Lambda, DynamoDB, API Gateway, RDS, CloudFormation, CloudWatch, CloudFront, and Route 53.
• Experience designing and developing cloud‑native applications and REST APIs within AWS environments.
• Experience architecting highly available, scalable, and resilient cloud solutions leveraging load balancing, horizontal scalability, and high‑availability design principles.
• Proficiency in at least one programming or scripting language such as Java, Python, https://jobeax.com/link/JSd7UYCSg572jJDY, or JSON policy languages.
• Experience using AI technologies such as developing AI Agents and building and LLM
• Excellent written and verbal communication skills.
• Strong collaboration skills with the ability to work effectively across cross‑functional teams.
• Team-oriented, placing priority on successful completion of team goals.
• Self‑motivated, proactive, and able to manage competing priorities in a dynamic environment.
• Self‑starter with a high degree of initiative.

Preferred Certifications

• Certified Cloud Security Professional (CCSP), Certificate of Cloud Security Knowledge (CCSK), or an equivalent cloud security certification.
• AWS Certified Solutions Architect – Professional and/or AWS Certified Security – Specialty.
• Certified Information Systems Security Professional (CISSP) or an equivalent information security certification.

THRIVE

What you can expect of us

• Vast opportunities to learn, develop, and move up and across our global organization.
• Diverse and inclusive community of belonging, where colleagues are empowered to bring ideas to the table, take risks, and act.
• Generous AMGEN Total Rewards Plan comprising healthcare, finance, wealth, and career benefits.
• Flexible work arrangements.

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.

. Salary Range

52320,90EUR-70787,10EUR