The role involves driving engineering excellence and guiding technical direction for operating AI workloads at scale within a secure financial messaging environment
Job Summary
The role involves driving engineering excellence and guiding technical direction for operating AI workloads at scale within a secure financial messaging environment.
Candidates must ensure adherence to rigorous security standards including ACF v6, TOEF, SEP, and DOR while managing the full operational lifecycle of AI models.
Swift offers an inclusive environment where unique individuals can bring their full selves to the team with freedom to innovate in a global financial ecosystem.
Matching Summary
The role involves driving engineering excellence and guiding technical direction for operating AI workloads at scale within a secure financial messaging environment.
Skills & Requirements
Must-have
Python production-grade systems
Kubernetes OpenShift Helm deployments
Jenkins CloudBees CI/CD pipelines
Ansible automation and orchestration
Vault secrets management
S3 Cloudian object storage
SWIFT security compliance standards
Nice-to-have
AI model lifecycle management
Drift detection and retraining triggers
MLOps principles and practices
Data science workflow collaboration
Incident response and RCA improvements
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
Strong hands-on experience in Python for production systems
In-depth knowledge of Kubernetes/OpenShift and Helm patterns
Proven experience applying secure engineering standards in production
Demonstrated technical leadership within an engineering squad