Platform Engineer: AI Guardrails on OpenShift

NBMBAA; Charlotte (NC); In loco; USD 103.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Annual bonus eligibility

Benefits eligible

Paid time off

Descrizione del lavoro

Bank of America is seeking an experienced Platform Engineer to operate on-prem OpenShift in a production environment. You will own deployment, configuration, reliability, and day-to-day support of an enterprise AI guardrails platform across GenAI apps.

The role emphasizes security, availability, performance, and recoverability, working with vendor and internal teams to scale trusted platforms responsibly.

Competenze

• 10+ years in software, systems, or platform engineering with production support.
• Hands-on OpenShift or Kubernetes in production.
• Experience with third-party enterprise platforms and vendor escalations.
• Strong Linux admin and scripting (Python/Bash).
• Security controls, TLS, secrets, SSO/OAuth, RBAC, and DR planning.
• Experience in Agile environments and cross-functional leadership.

Mansioni

• Deploy and operate on-prem OpenShift using Helm and CI/CD pipelines.
• Manage namespaces, quotas, storage, networking, and policies.
• Onboard vendor images, remediate vulnerabilities, and ensure HA.
• Monitor, log, alerting with Splunk, Dynatrace, Prometheus, Grafana.
• Lead incidents, root-cause analysis, and permanent fixes.
• Ensure security controls and disaster recovery procedures.
• Automate builds, deployments, and promote across environments.
• Mentor engineers and drive engineering standards.

Conoscenze

OpenShift

Kubernetes

CI/CD

Python

Bash

Linux

TLS/SSO

Observability

Incident response

Leadership

Formazione

Bachelor's or Master's in CS/IT

Strumenti

Helm

Container registries

OpenShift/Kubernetes tooling

CI/CD pipelines

Splunk/Dynatrace/Prometheus/Grafana

Descrizione del lavoro

Bank of America is seeking an experienced Platform Engineer to operate on-prem OpenShift in a production environment. You will own deployment, configuration, reliability, and day-to-day support of an enterprise AI guardrails platform across GenAI apps.

The role emphasizes security, availability, performance, and recoverability, working with vendor and internal teams to scale trusted platforms responsibly.