ROLE RESPONSIBILITIES  

 

Cloud Security Engineering & Architecture 

• Design, implement and evolve security controls across AWS, Azure and/or GCP, aligning with enterprise architecture principles and security standards. 

• Lead the development and maintenance of secure Infrastructure as Code using Terraform, OpenTofu or similar tools, ensuring consistency, scalability and reusability. 

• Own and enhance reusable secure cloud modules, guardrails and reference architectures used across the organization. 

• Review and provide security guidance on cloud designs and IaC contributions from other engineers. 

 

Automation, Detection & Tooling 

• Design and implement end-to-end automation for security control provisioning, posture remediation and lifecycle management. 

• Integrate security and compliance requirements into IaC and CI/CD workflows (policy as code, pipeline security gates). 

• Establish and improve security observability, monitoring, detection and alerting for cloud platforms. 

• Evaluate and introduce new tooling or approaches that improve security outcomes and developer experience. 

 

Operations, Compliance & Collaboration 

• Lead troubleshooting for complex cloud security issues and perform root cause analysis for incidents. 

• Collaborate with security, risk and compliance teams to support audits, regulatory requirements and governance initiatives. 

• Act as a technical mentor for Cloud Security Engineers, supporting skill development and engineering best practices. 

• Drive security modernization initiatives, identifying opportunities to automate, optimize, standardize and simplify. 

• Contribute to technical documentation, standards and knowledge sharing to uplift cloud security maturity. 

 

Cyber Security Applications & Platforms in Scope 

• The role engineers, secures and operates the cloud infrastructure underpinning Pfizer's core cyber security application estate, including: 

• Ping - enterprise identity and access management / federation and single sign-on. 

• SailPoint - identity governance and administration, access certification and lifecycle management. 

• CyberArk - privileged access management, secrets management and credential vaulting. 

• CrowdStrike Falcon LogScale running on Amazon EKS - large-scale security log ingestion, retention and threat hunting. 

 

Cutting-Edge & Agentic Cloud Security Capabilities 

• This role sits at the front edge of AI-enabled security engineering. You will work with, evaluate, and operationalize emerging agentic capabilities that are reshaping how cloud security is delivered, including: 

• Developer-embedded secret and credential protection - preventing credentials and secretsfrom ever reaching a repository, using GitHub Advanced Security (GHAS) push protection, secret scanning, code scanning and dependency review. 

• Autonomous security agents for offensive testing - agent-driven penetration testing (black-box against external cloud estates and white-box against our own accounts) and continuous AI-assisted source code security review. 

• AI red team and blue team agents within our cloud-native application protection tooling - using agentic red teaming to continuously probe cloud configurations and workloads, and blue team agents to accelerate detection, triage and response. 

• AI-assisted vulnerability remediation - evaluating and adopting emerging code-repair models that generate and validate security fixes rather than only reporting findings. 

• Hyperscaler-native security agents - early access and alpha programs from AWS, Microsoft and Google that bring agentic reasoning to cloud security posture, threat detection and automated remediation. 

• Agentic security engineering at scale - building the guardrails, evaluation harnesses, and human-in-the-loop controls that let autonomous agents operate safely against a regulated, global pharmaceutical cloud estate. 

  

BASIC QUALIFICATIONS  

• Bachelor's Degree in Computer Science, Engineering, IT, or equivalent practical experience. 

• 4+ years of hands-on cloud, platform or cloud security engineering experience. 

• Strong proficiency in at least one major cloud provider (AWS, Azure, or GCP), with production-scale experience. 

• Advanced experience with Infrastructure as Code (Terraform strongly preferred). 

• Strong automation and scripting skills (Python strongly preferred). 

• Deep understanding of cloud networking, identity, encryption, workload security and cloud-native security services. 

• Experience with security tooling such as CSPM/CNAPP, SIEM or log analytics, vulnerability management, or application security scanning. 

• Experience working in global, cross-functional engineering environments. 

• Ability to lead technical initiatives and make architectural decisions. 

• Demonstrated experience in an agile work environment possessing qualities such as a collaborative mindset, adaptability to change, and a proactive problem-solving approach. 

 

PREFERRED QUALIFICATIONS 

• Multi-cloud security experience (AWS + Azure or GCP). 

• Kubernetes / EKS security experience, including workload identity, admission control and runtime security. 

• Experience supporting IAM/SSO, identity governance, privileged access management or SIEM platforms as infrastructure. 

• Experience with GitHub Advanced Security, secret scanning or software supply chain security. 

• Interest or experience in applying AI / agentic tooling to security engineering. 

• Experience with Spacelift, OpenTofu or similar IaC automation platforms. 

• Experience in GxP or other highly regulated environments. 

• Relevant certifications (AWS/Azure/GCP Security Specialty, CCSP, CISSP, or equivalent). 

• Curious, self-driven and committed to continuous skill development, particularly around emerging AI security capabilities. 

• Strong problem-solving and analytical mindset, especially for complex cloud systems. 

• Comfortable operating with high ownership and autonomy. 

• Customer-focused mindset with the ability to balance engineering excellence, security and business outcomes. 

Please apply by sending your CV in English.

Work Location Assignment: Hybrid

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