AI Guardrails Platform Engineer - OpenShift

Bank of America

Richmond (VA)

In loco

USD 140.000 - 190.000

Tempo pieno

2 giorni fa
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Descrizione del lavoro

Bank of America seeks an experienced platform and systems engineer to own deployment, configuration, reliability, and day-to-day support of an on-premises OpenShift AI guardrails platform across GenAI applications. You will work with vendor teams, OpenShift platform squads, information security, and consumer teams to keep production secure, stable, and recoverable as adoption grows.

The role emphasizes hands-on ownership of production issues, cross-functional leadership, and rapid onboarding of

Competenze

  • 10+ years of software, systems, or platform engineering experience.
  • Bachelor's or Master's degree in Computer Science, Data Science, MIS, or equivalent experience.
  • Hands-on experience deploying and operating workloads on Red Hat OpenShift or Kubernetes in production.
  • Experience supporting third-party/vendor enterprise platforms end to end, including installs, upgrades, patching, and vendor escalations.
  • Strong Linux (RHEL) administration and troubleshooting skills.
  • Experience with Helm, container registries, and CI/CD pipelines.
  • Scripting and automation experience with Python, Bash, or similar.
  • Experience with infrastructure and application observability tools such as Splunk, Dynatrace, Prometheus, or Grafana.
  • Working knowledge of enterprise security controls, including TLS certificates and trust stores, secrets management, SSO/OAuth, and role-based access.
  • Experience with high availability, capacity planning, performance tuning, and disaster recovery for production platforms.
  • Experience working in Agile environments.
  • Proven ability to lead technical initiatives and influence stakeholders.
  • Strong analytical, problem-solving, and communication skills.

Mansioni

  • Deploy, configure, upgrade, and support vendor applications on on-premises OpenShift using Helm and CI/CD pipelines.
  • Manage OpenShift namespaces, resource quotas, storage, networking, routes, and network policies.
  • Onboard vendor container images and Helm charts into internal registries and drive remediation of image vulnerability findings.
  • Own platform availability, performance, and capacity, including scaling, latency, and throughput for services in the production request path.
  • Build and maintain infrastructure and application monitoring, logging, and alerting (e.g., Splunk, Dynatrace, Prometheus, Grafana).
  • Lead production incident response, root cause analysis, and permanent fixes; manage vendor escalations through resolution.
  • Implement and maintain security controls, including TLS certificates, secrets management, SSO/OAuth integration, encryption, and access management.
  • Design, document, and test high availability, backup, and disaster recovery/contingency procedures.
  • Automate environment builds, deployments, and code promotion across development, test, and production.
  • Create and maintain runbooks and support documentation, and transition operational support to production support teams.
  • Support application teams onboarding to the platform and troubleshoot integration issues (APIs, authentication, connectivity).
  • Mentor engineers and drive engineering standards across internal, offshore, and vendor teams.

Conoscenze

Leadership
Problem-solving
Communication
Analytical thinking
DevOps practices
Agile collaboration

Formazione

Bachelor's or Master's in CS/DS/MIS

Strumenti

OpenShift
Kubernetes
Helm
CI/CD pipelines
Python
Bash
Splunk
Dynatrace
Grafana
Prometheus

Descrizione del lavoro

Bank of America seeks an experienced platform and systems engineer to own deployment, configuration, reliability, and day-to-day support of an on-premises OpenShift AI guardrails platform across GenAI applications. You will work with vendor teams, OpenShift platform squads, information security, and consumer teams to keep production secure, stable, and recoverable as adoption grows.

The role emphasizes hands-on ownership of production issues, cross-functional leadership, and rapid onboarding of

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