Platform Engineer - AI Observability & Governance (OpenShift)

Bank of America

Charlotte (NC)

On-site

USD 140,000 - 190,000

Full time

4 days ago
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Job summary

Bank of America is seeking a Platform/Systems Engineer to own deployment, configuration, and operations of on-prem OpenShift-based vendor platforms. You will ensure reliable, secure, and compliant trace and telemetry services for GenAI workloads across the bank.

The role focuses on production readiness, incident response, storage and database workloads (PostgreSQL, Redis, ClickHouse), and coordination with security, data governance, and application teams to scale platforms responsibly.

Qualifications

  • Bachelors or Masters in CS, Data Science, MIS, or related field.
  • 10+ years of software, systems, or platform engineering experience.
  • Hands-on experience deploying and operating workloads on OpenShift or Kubernetes in production.

Responsibilities

  • Deploy, configure, upgrade, and support vendor applications on on-prem OpenShift using Helm and CI/CD pipelines.
  • Manage OpenShift namespaces, quotas, storage classes, networking, routes, and network policies.
  • Operate stateful services (PostgreSQL, Redis, ClickHouse, object storage) with backup and restore and encryption at rest.
  • Plan capacity and manage data retention for high-volume trace data.
  • Onboard vendor images and drive remediation of image vulnerabilities.
  • Build and maintain monitoring and logging (Prometheus, Grafana, Splunk, Dynatrace).
  • Lead production incident response, RCA, and permanent fixes; manage vendor escalations.
  • Implement security controls: TLS, secrets, SSO/OAuth, access workflows.
  • Support governance audits, data docs, access reviews, and tech risk evidence.
  • Design and test HA, backup, and DR procedures.
  • Automate builds, deployments, and code promotion; maintain runbooks.
  • Assist application teams onboarding to the platform and troubleshoot integrations.

Skills

Hands-on production engineering
Incident response leadership
Cross-functional collaboration
Mentoring engineers

Education

Bachelor's or Master's in Computer Science or related field

Tools

OpenShift
Kubernetes
Helm
Prometheus
Grafana
Splunk
Dynatrace
PostgreSQL
Redis
ClickHouse

Job description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job 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.
Required Qualifications
  • 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. St
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