On-Prem OpenShift AI Observability Platform Engineer

Bank of America Corporation

Florida

In loco

USD 103.000 - 180.000

Tempo pieno

5 giorni fa
Candidati tra i primi

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Descrizione del lavoro

Bank of America Corporation seeks an experienced platform engineer to operate an on-prem OpenShift environment hosting a self-hosted AI observability platform. You will own deployment, configuration, reliability, and day-to-day support of services across containers with stateful data stores.

Collaboration with security, governance, and application teams is essential to maintain secure, scalable, and compliant operations.

Competenze

  • Bachelor's or Master's degree in Computer Science, Data Science, MIS, related field, or equivalent experience.
  • Hands-on experience deploying and operating workloads on RedHat 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, 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

Application Development
Automation
Influence
Solution Design
Technical Strategy
Architecture
Business Acumen
DevOps Practices
Result Orientation
Solution Delivery
Process
Analytical Thinking
Collaboration
Data Management
Risk Management
Test Engineering

Formazione

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

Strumenti

OpenShift
Kubernetes

Descrizione del lavoro

Bank of America Corporation seeks an experienced platform engineer to operate an on-prem OpenShift environment hosting a self-hosted AI observability platform. You will own deployment, configuration, reliability, and day-to-day support of services across containers with stateful data stores.

Collaboration with security, governance, and application teams is essential to maintain secure, scalable, and compliant operations.

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