Platform Engineer – AI Observability, Governance

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 expertise in deploying and managing applications on Red Hat OpenShift, including stateful services and CI/CD pipelines. Proficient in implementing security controls and governance requirements while leading incident response and mentoring engineering teams.

Highest-signal resume keywords

Red Hat OpenShift AdministrationCI/CD Pipeline ManagementPostgreSQL DeploymentInfrastructure Monitoring ToolsTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Linux AdministrationHelmPython ScriptingBash ScriptingContainer RegistriesAgile MethodologiesConfiguration ManagementData GovernanceDisaster Recovery PlanningStateful Service Management

Soft Skills

CollaborationStakeholder InfluenceMentoring

Tools & Technologies

SplunkDynatracePrometheusGrafanaTLS CertificatesSSO/OAuthSecrets ManagementClickHouseAI Observability ToolsInfrastructure-as-Code

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Data Science

Industry Keywords

Financial ServicesRegulated OrganizationsTechnology RiskAudit LoggingData Documentation

Tech Stack

Tools & technologies

GrafanaKubernetesLinuxOpenShiftPostgresPrometheusPythonRedisSplunk

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 classes, networking, routes, and network policies
Deploy and operate stateful backing services including PostgreSQL, Redis, ClickHouse, and object storage
Manage persistent storage, replication, backup and restore, and encryption at rest
Plan capacity and manage data retention and storage growth for high-volume trace and telemetry data
Onboard vendor container images and Helm charts into internal registries and remediate image vulnerability findings
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, and access management workflows
Support governance and control requirements including audit logging, data documentation, access reviews, and technology risk review evidence
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
Support application teams onboarding to the platform and troubleshoot APIs, authentication, and connectivity issues
Mentor engineers and drive engineering standards across internal, offshore, and vendor teams
Operate enterprise vendor platforms in an on-premises Red Hat OpenShift environment supporting AI observability for GenAI applications across the bank

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Data Science, MIS, related field, or equivalent experience
10+ years of software, systems, or platform engineering experience supporting production applications
Hands-on experience deploying and operating workloads on Red Hat OpenShift or Kubernetes in production
Experience running stateful services on OpenShift or Kubernetes, such as PostgreSQL, Redis, or analytical databases, including storage, backup, and recovery
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, encryption, SSO/OAuth, and role-based access
Experience working in Agile environments
Demonstrated technical leadership and stakeholder influence
Experience delivering technology solutions in large, complex, regulated organizations, preferably financial services
Experience operating ClickHouse or other high-volume analytical/time-series data stores
Experience supporting technology risk, audit, or data governance requirements for production platforms
Experience supporting platforms used by GenAI/LLM applications, or familiarity with LLM tracing, evaluation, or AI observability tools
Familiarity with LLM application frameworks such as LangChain or OpenAI-compatible APIs
Experience with configuration management or infrastructure-as-code tooling
Strong collaboration skills and ability to quickly learn emerging technologies

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 make an impact