Senior File Transfer Platform Engineer

DTCC; Coppell (TX); Sur place; USD 110 000 - 170 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Comprehensive health and lifeinsurance

Pension / Retirement benefits

Paid Time Off

Hybrid work model: 3 days onsite, 2 on

Résumé du poste

DTCC is seeking a File Transfer Engineer to design, implement, and operate secure, high-volume data movement platforms. You will support onboarding, ensure platform resiliency, and collaborate with application, security, and client teams to meet stringent operational standards.

The role emphasizes automation, cloud-integrated transfer patterns, and disaster recovery, with a focus on reducing risk and improving performance across distributed systems.

Qualifications

• Minimum of 8 years of related experience
• Bachelor's degree preferred and/or equivalent experience

Responsabilités

• Design, implement, operate, and improve file transfer platforms
• Ensure secure, reliable, and high-volume data movement
• Collaborate with application, security, and client teams to onboard and support integrations
• Maintain production stability and observability aligned with SLAs
• Develop automation for onboarding, configuration management, and reporting
• Participate in disaster recovery planning and resiliency exercises

Connaissances

MFT platforms

IBM Connect:Direct

IBM DataPower

AWS Transfer Family

SFTP/SSH

Linux scripting

Automation tooling

Java/JavaScript

CI/CD

Formation

Bachelor's degree or equivalent

Outils

Ansible

CI/CD pipelines

Infrastructure as Code

SIEM monitoring

Description du poste

DTCC is seeking a File Transfer Engineer to design, implement, and operate secure, high-volume data movement platforms. You will support onboarding, ensure platform resiliency, and collaborate with application, security, and client teams to meet stringent operational standards.

The role emphasizes automation, cloud-integrated transfer patterns, and disaster recovery, with a focus on reducing risk and improving performance across distributed systems.