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Lead Cloud Engineer
Job Description & How to Apply Below
Client’s Enterprise Cybersecurity team is seeking a Lead Cloud Engineer to support Customer Protection Technology (CPT) and Client Risk. This role focuses on fraud protection and prevention by building a robust tech and data platform, transitioning from on-prem to cloud infrastructure, and enabling secure, scalable, and resilient systems. The engineer will collaborate with surveillance teams, manage high-value transaction risk evaluations, and work with SaaS vendors.
The ideal candidate will demonstrate leadership, deep cloud expertise, and strong Dev Ops and SRE practices.
- Lead the transition from on-prem to cloud infrastructure for CPT and Client Risk.
- Build and maintain secure, scalable cloud environments.
- Collaborate with surveillance teams to set up and manage data platforms.
- Evaluate high-value transactions and provide risk assessments.
- Work with SaaS vendors to integrate fraud protection technologies.
- Implement CI/CD pipelines using Jenkins and Docker.
- Develop infrastructure using Terraform and manage cloud resources.
- Enable cloud competence with tools like Aerospike, PCP pairings, and secure connections.
- Utilize Kubernetes for container orchestration and Kafka for data streaming.
- Write automation scripts using Python, Bash, and Shell.
- Troubleshoot Linux systems and ensure secure connectivity with stakeholder applications.
- Monitor resources and implement observability practices.
- 8+ years of experience in technology roles with a focus on cloud engineering.
- Leadership experience in cloud infrastructure projects.
- Hands-on experience with Kubernetes and Kafka.
- Proficiency in Python, Bash, and Shell scripting (Java is a plus).
- Strong understanding of CI/CD pipelines, Jenkins, and Docker.
- Experience with Terraform and Infrastructure as Code.
- Solid Linux/Unix administration and troubleshooting skills.
- Knowledge of AWS cloud development and secure integration practices.
- Familiarity with cloud observability tools and performance monitoring.
- Experience with distributed systems and resilient cloud platforms.
- Strong communication and collaboration skills.
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