Platform Engineer – AI Guardrails, OpenShift

Bank of America

. Deploy, configure, upgrade, and support vendor applications on on-premises OpenShift using Helm and CI/CD pipelines .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in deploying and managing applications on Red Hat OpenShift and Kubernetes, with a strong focus on automation, security controls, and performance optimization. Proven ability to lead technical initiatives and mentor teams while ensuring high availability and compliance in regulated environments.

Highest-signal resume keywords

Red Hat OpenShift DeploymentCI/CD Pipeline ManagementLinux AdministrationInfrastructure Monitoring ToolsSecurity Controls Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

OpenShiftKubernetesHelmPythonBashSplunkDynatracePrometheusGrafanaAPI Integration

Soft Skills

Analytical SkillsProblem-SolvingCommunicationLeadershipCollaboration

Tools & Technologies

CI/CD ToolsContainer RegistriesInfrastructure-as-CodeMonitoring ToolsDisaster Recovery Solutions

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Data ScienceMIS or Equivalent Experience

Industry Keywords

Enterprise Security ControlsRegulated EnvironmentsFinancial ServicesGenAI/LLM ApplicationsAgile Environments

Tech Stack

Tools & technologies

GrafanaKubernetesLinuxOpenShiftPrometheusPythonSplunk

About the role

Key responsibilities & impact

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 using tools such as Splunk, Dynatrace, Prometheus, and Grafana
Lead production incident response, root cause analysis, permanent fixes, and vendor escalations
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 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
Experience delivering technology solutions within large, regulated enterprise environments, preferably financial services
Experience supporting platforms used by GenAI/LLM applications, or familiarity with AI guardrails, LLM evaluation, or AI observability tools
Familiarity with LLM application frameworks such as LangChain or OpenAI-compatible APIs
Experience with API gateways, proxies, and service integration patterns
Experience with configuration management or infrastructure-as-code tooling
Self-directed, collaborative working style and ability to quickly learn new technologies

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Support for physical, emotional, and financial wellness
Opportunities to learn, grow, and make an impact
Annual discretionary incentive plan eligibility
Paid time off
Employee resources and support