Platform Engineer – AI Guardrails, OpenShift

Bank of America

. Engineer and operate enterprise vendor platforms in Bank of America's on-premises Red Hat OpenShift environment .

Posted 11/4/2026full-timeUnited StatesSeniorLead💰 $102,900 - $179,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in deploying and operating workloads on Red Hat OpenShift and Kubernetes, with a strong focus on production platform reliability, performance, and security. Proficient in automation, monitoring, and incident response, while mentoring teams and driving engineering standards.

Highest-signal resume keywords

Red Hat OpenShift DeploymentCI/CD Pipeline ManagementLinux AdministrationInfrastructure Observability ToolsAI Guardrails Platform Support

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Platform EngineeringScripting with PythonHelm Chart ManagementDisaster Recovery PlanningCapacity PlanningPerformance TuningTLS ManagementSecrets ManagementAPI TroubleshootingAutomation of Deployments

Soft Skills

Analytical Problem-SolvingCommunication SkillsLeadership in Technical InitiativesCollaborationSelf-Directed Learning

Tools & Technologies

SplunkDynatracePrometheusGrafanaKubernetesHelmCI/CD ToolsAPI GatewaysService Integration PatternsInfrastructure-as-Code Tooling

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Data ScienceEquivalent Experience

Industry Keywords

Enterprise Vendor PlatformsFinancial ServicesRegulated EnvironmentsGenAI PlatformsLLM Evaluation

Tech Stack

Tools & technologies

GrafanaKubernetesLinuxOpenShiftPrometheusPythonSplunk

About the role

Key responsibilities & impact

Engineer and operate enterprise vendor platforms in Bank of America's on-premises Red Hat OpenShift environment
Own deployment, configuration, reliability, and day-to-day support of the AI guardrails platform in the GenAI application request path
Deploy, configure, upgrade, and support vendor applications 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 remediate image vulnerability findings
Own production platform availability, performance, capacity, scaling, latency, and throughput
Build and maintain monitoring, logging, and alerting using tools such as Splunk, Dynatrace, Prometheus, and Grafana
Lead production incident response, root cause analysis, permanent fixes, and vendor escalations
Implement and maintain TLS, secrets management, SSO/OAuth, encryption, and access-management controls
Design, document, and test high availability, backup, disaster recovery, and contingency procedures
Automate environment builds, deployments, and code promotion across development, test, and production
Create runbooks and support documentation and transition operational support to production support teams
Support application onboarding and troubleshoot API, authentication, and connectivity integration issues
Mentor engineers and drive engineering standards across internal, offshore, and vendor teams

Requirements

What you’ll need

10+ years of software, systems, or platform engineering experience supporting production applications
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
Desired: experience in large, regulated enterprise environments, preferably financial services
Desired: experience supporting GenAI/LLM platforms, AI guardrails, LLM evaluation, or AI observability tools
Desired: familiarity with LLM application frameworks such as LangChain or OpenAI-compatible APIs
Desired: experience with API gateways, proxies, and service integration patterns
Desired: experience with configuration management or infrastructure-as-code tooling
Self-directed, collaborative working style and ability to quickly learn new technologies
Ability to work first shift in the United States of America
40 hours per week

Benefits

Comp & perks

Annual discretionary incentive plan eligibility
Benefits eligibility
Paid time off
Resources and support for employees
In-office flexibility based on role-specific responsibilities and business needs
Opportunities to learn, grow, and build a career