BNY
At BNY, we empower employees to grow and succeed. As a leading global financial services company, we influence nearly 20% of the world’s investible assets. Our teams harness cutting‑edge AI to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
AI Platform & Systems Engineer This role is located in Lake Mary, FL or Pittsburgh, PA. You will join our Technology team to provide operational support for GPU‑based compute infrastructure across hybrid and on‑prem environments, deploy and manage containerized AI workloads, and automate infrastructure processes and workload provisioning.
Responsibilities
Provide hands‑on operational support and incident management for GPU‑based compute infrastructure.
Deploy, monitor, and troubleshoot containerized AI workloads using Kubernetes, Docker, and GPU orchestration tools such as Run:AI, Volcano, or Kubeflow.
Automate infrastructure processes and workload provisioning using Python, Bash, and configuration management tools.
Maintain and scale training/inference workloads using GitOps tools like Helm and ArgoCD, and integrate with CI/CD pipelines (GitLab, Jenkins).
Qualifications
Bachelor’s degree in computer science or related discipline, or equivalent experience; advanced degree preferred.
8‑10 years of related experience, with preference for those in the securities or financial services industry.
Experience with Linux administration (RHEL/Ubuntu), shell scripting, and system‑level debugging.
Proven experience running distributed systems in Kubernetes and containerized environments.
Familiarity with GPU resource management, including NVIDIA GPU Operator and device plugin lifecycle.
Experience with CI/CD workflows and infrastructure automation tools such as GitLab CI, Jenkins, Terraform, Helm, or Ansible.
Knowledge of networking fundamentals and persistent storage systems.
Exposure to cloud platforms (AWS, GCP, Azure) and hybrid GPU environments.
Ability to read and support Python code focused on ML/AI pipeline integration.
Strong analytical and troubleshooting skills with a collaborative mindset.
Effective communication skills and proactive ownership of platform reliability and performance.
Benefits BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and a pay‑for‑performance philosophy. We provide flexible resources, generous paid leave, paid volunteer time, and support for your personal and financial goals.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Equal Opportunity Employer BNY is an Equal Employment Opportunity/Affirmative Action Employer – Underrepresented racial and ethnic groups, females, individuals with disabilities, and protected veterans.
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AI Platform & Systems Engineer This role is located in Lake Mary, FL or Pittsburgh, PA. You will join our Technology team to provide operational support for GPU‑based compute infrastructure across hybrid and on‑prem environments, deploy and manage containerized AI workloads, and automate infrastructure processes and workload provisioning.
Responsibilities
Provide hands‑on operational support and incident management for GPU‑based compute infrastructure.
Deploy, monitor, and troubleshoot containerized AI workloads using Kubernetes, Docker, and GPU orchestration tools such as Run:AI, Volcano, or Kubeflow.
Automate infrastructure processes and workload provisioning using Python, Bash, and configuration management tools.
Maintain and scale training/inference workloads using GitOps tools like Helm and ArgoCD, and integrate with CI/CD pipelines (GitLab, Jenkins).
Qualifications
Bachelor’s degree in computer science or related discipline, or equivalent experience; advanced degree preferred.
8‑10 years of related experience, with preference for those in the securities or financial services industry.
Experience with Linux administration (RHEL/Ubuntu), shell scripting, and system‑level debugging.
Proven experience running distributed systems in Kubernetes and containerized environments.
Familiarity with GPU resource management, including NVIDIA GPU Operator and device plugin lifecycle.
Experience with CI/CD workflows and infrastructure automation tools such as GitLab CI, Jenkins, Terraform, Helm, or Ansible.
Knowledge of networking fundamentals and persistent storage systems.
Exposure to cloud platforms (AWS, GCP, Azure) and hybrid GPU environments.
Ability to read and support Python code focused on ML/AI pipeline integration.
Strong analytical and troubleshooting skills with a collaborative mindset.
Effective communication skills and proactive ownership of platform reliability and performance.
Benefits BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and a pay‑for‑performance philosophy. We provide flexible resources, generous paid leave, paid volunteer time, and support for your personal and financial goals.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
Equal Opportunity Employer BNY is an Equal Employment Opportunity/Affirmative Action Employer – Underrepresented racial and ethnic groups, females, individuals with disabilities, and protected veterans.
#J-18808-Ljbffr