AI Observability Platform Engineer (OpenShift)

Bank of America Corporation; Charlotte (NC); In loco; USD 103.000 - 180.000; Tempo pieno

Descrizione del lavoro

Bank of America engineers and operates enterprise vendor platforms in a secure, on-prem OpenShift environment. You will own deployment, configuration, reliability, and day-to-day support of a self-hosted AI observability platform used for GenAI applications across the bank.

The role emphasizes production operations, incident response, and collaboration with OpenShift teams, information security, data governance, and consuming application teams.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

OpenShift

Kubernetes

PostgreSQL

Redis

CI/CD

Helm

Linux (RHEL)

Monitoring (Splunk/Dynatrace/Prom Graf

Formazione

Bachelor's or Master's in Computer Science, Data Science, MIS, related field

Strumenti

Helm

Container registries

CI/CD pipelines

Descrizione del lavoro

Bank of America engineers and operates enterprise vendor platforms in a secure, on-prem OpenShift environment. You will own deployment, configuration, reliability, and day-to-day support of a self-hosted AI observability platform used for GenAI applications across the bank.

The role emphasizes production operations, incident response, and collaboration with OpenShift teams, information security, data governance, and consuming application teams.