Accountabilities

You will lead the technical design, implementation, and ongoing operation of global cloud infrastructure services, ensuring platforms remain secure, resilient, efficient, and aligned with business and technology priorities. Your responsibilities will include:

Lead the design, deployment, and operation of global cloud services across AWS and Azure, including secure, scalable cloud-native platforms and AWS Landing Zones.

Develop AI and data analytics architecture solutions aligned with business requirements.

Drive Infrastructure as Code (IaC) adoption using tools such as Terraform and CloudFormation to automate provisioning and configuration at scale.

Implement security-by-design principles, including identity and access management, encryption, and zero-trust practices, while maintaining alignment with security frameworks such as ISO 27000.

Establish monitoring and observability capabilities using tools such as Prometheus, Grafana, and Amazon CloudWatch to support performance, reliability, and uptime.

Translate cloud architecture designs into operational services and lead the deployment of new technologies, systems, and services into production.

Develop and guide cloud migration strategies, including on-premises-to-cloud and hybrid infrastructure transitions.

Drive cloud cost optimization, governance, and compliance initiatives.

Collaborate with global senior stakeholders, vendors, and cross-functional teams to align IT and OT objectives, establish best practices, and meet pre-go-live AIS metrics.

Contribute to audits, technical documentation, and infrastructure roadmaps.

Provide ongoing technical governance for projects, solution design, and business-as-usual operations.

Take on additional responsibilities as required.

Requirements

The ideal candidate is a senior cloud infrastructure specialist with extensive enterprise experience and the technical expertise to lead complex, distributed environments. You should combine strong architecture and engineering capabilities with a proven ability to influence stakeholders and deliver reliable production services. Required qualifications and experience include:

Bachelor's degree or higher in Computer Science, Information Technology, or a related technical field, or relevant certifications and equivalent professional experience.

Extensive experience in senior IT infrastructure support, including 3rd- or 4th-line engineering within a global enterprise cloud environment. The stated experience pathways include 12+ years in an IT 3rd/4th-line role with a proven enterprise cloud track record, or 5+ years in a biomedical IT service environment.

Deep expertise in AWS and/or Microsoft Azure services and cloud platform architecture.

Proven experience designing, managing, and supporting production cloud environments.

Strong knowledge of AI and data analytics architecture.

Hands-on experience with Infrastructure as Code tools such as Terraform or CloudFormation.

Strong scripting and coding skills, particularly Python and Bash.

Experience with containerization technologies such as Docker and Kubernetes.

Solid understanding of cloud networking concepts, including VPCs, load balancing, and DNS.

Strong knowledge of infrastructure security, including IAM, encryption, secrets management, and security frameworks such as ISO 27000.

Experience designing distributed systems and microservices architectures.

Practical experience with CI/CD pipelines and DevOps practices, including tools such as Jenkins, GitHub Actions, and Azure DevOps.

Familiarity with monitoring and observability tools such as CloudWatch, Prometheus, and Grafana.

Ability to build support for IT initiatives among business and technical stakeholders across teams and regions, particularly for initiatives with low to medium levels of risk, impact, and complexity.

Relevant certifications, such as AWS Certified DevOps Engineer, AWS Solutions Architect, Microsoft Certified: Azure Administrator, or Azure DevOps Engineer, are advantageous.

Benefits

Annual US salary range of $133,000–$213,000, depending on work location, job-related knowledge, skills, and experience.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1