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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer - AI Observability & Governance (OpenShift) - **Company:** Bank of America - **Location:** Pennington, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Access, Application Programming Interfaces (APIs), Agile Methodology, Application Frameworks, Systems Engineering, Audit Trail, User Authentication, Backup Devices, Bash Shell, Configuration Management, Cyber Security, Computer Networks, Databases, Data Governance, Data Retention, Data Stores, Linux, DevOps, Disaster Recovery, HP Systems Insight Manager, Identity and Access Management, Python (Programming Language), Key Management, PostgreSQL, OAuth, OpenShift, Red Hat Enterprise Linux, Redis, OpenAI, Prometheus, Runbook, Single Sign-On, Software Engineering, Backup and Restore, Data Logging, System Availability, Large Language Models, Grafana, Kubernetes Helm Charts, Generative AI, Build Management, Kubernetes, Information Technology, Data Management, Machine Learning Operations, Vertica, Splunk, Dynatrace - **Published:** November 6, 2026 - **Apply:** https://dejobs.org/x/x/EC9D0E5BDCD64818BA70EF06BC94EA54/job/ ## About the Role * 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 (e.g., LangChain) or OpenAI-compatible APIs. * Experience with configuration management or infrastructure-as-code tooling. * Strong collaboration skills and ability to quickly learn emerging technologies. Skills: * Application Development * Automation * Influence * Solution Design * Technical Strategy Development * Architecture * Business Acumen * DevOps Practices * Result Orientation * Solution Delivery Process * Analytical Thinking * Collaboration * Data Management * Risk Management * Test Engineering ## Description This role engineers and operates enterprise vendor platforms in our on-premises Red Hat OpenShift environment. You will own the deployment, configuration, reliability, and day-to-day support of a self-hosted AI observability platform that provides tracing, monitoring, and evaluation for GenAI applications across the bank. The platform runs as a set of containerized services backed by stateful data stores, so experience operating databases and storage on OpenShift or Kubernetes is central to the role. This is a platform and systems engineering role, not a model development role. The focus is keeping a business-critical, third-party platform secure, stable, performant, and compliant as trace volumes and adoption grow. You will work closely with the vendor, OpenShift platform teams, information security, data governance, and the application teams that consume the service. Exposure to AI tooling is helpful, but what matters most is a track record of running enterprise platforms in production. The ideal engineer is hands-on, comfortable owning production issues end to end, picks up new tools quickly, and can lead cross-functional work to get things done. Responsibilities * 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 (e.g., PostgreSQL, Redis, ClickHouse, object storage), including 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 drive remediation of image vulnerability findings. * 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, and access management workflows. * Support governance and control requirements, including audit logging, data documentation, access reviews, and evidence for technology risk reviews. * 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 integration issues (APIs, authentication, connectivity). * Mentor engineers and drive engineering standards across internal, offshore, and vendor teams., Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates. View your "Know your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf) " poster. View the LA County Fair Chance Ordinance (https://dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf) .