GenAI)

Iconma Portal•Jersey City, NJ

14h•Hybrid

About The Position

Our client, a banking company, is seeking a Site Reliability Engineer with experience in Azure infrastructure, Terraform, CI/CD, and OpenAI/GenAI. The position is listed as hybrid and may be based in Jersey City, New Jersey; Charlotte, North Carolina; or Plano, Texas. The engineer will work with development and infrastructure teams to implement monitoring capabilities defined in application and system monitoring designs. The role includes mentoring SRE colleagues, building and maintaining reusable reliability scripts and tools, and helping application production support and development teams adopt shared reliability capabilities. The engineer will also contribute to major incident triage, failure-scenario modeling, root-cause investigations, and efforts to improve reliability and reduce manual support work. Regular participation in an on-call rotation with Production Support teammates is required.

Requirements

Hands-on experience with Microsoft Azure infrastructure and platform services.
Experience with Terraform, Terraform Enterprise, or comparable infrastructure-as-code tooling.
Working knowledge of Azure networking, including VNets, subnets, route tables, firewalls, DNS, private endpoints, and load balancing.
Experience with Azure Monitor, Azure Log Analytics, Dynatrace, Splunk, Prometheus, Grafana, or similar observability platforms.
Experience with CI/CD tooling such as Jenkins, Azure DevOps, GitHub Actions, or comparable pipeline frameworks.
Scripting or programming experience with Python, PowerShell, Bash, or similar languages.
Understanding of cloud resiliency, high availability, logging, monitoring, and operational support practices.
Strong analytical, troubleshooting, organizational, and communication skills.
Ability to collaborate effectively with globally distributed engineering and operations teams.

Nice To Haves

Microsoft Azure certification.
Experience in financial services, regulated technology, or other enterprise-scale environments.
Experience with AKS, ACR, Kubernetes, container registries, or container-based deployment models.
Experience with Azure AI Foundry, OpenAI/GenAI platform operations, model-serving observability, or AI platform readiness.
Familiarity with SRE practices such as SLIs, SLOs, incident response, problem management, post-incident reviews, and toil reduction.
Exposure to IAM, cloud security, policy-as-code, vulnerability remediation, and governance dashboards.

Responsibilities

Collaborate with Development and Infrastructure teams to understand technical solutions and implement monitoring capabilities defined in application and system monitoring designs from the SRE Lead.
Mentor SRE resources on reliability practices and established tools and capabilities.
Develop and maintain a catalog of extensible reliability scripts, tools, and libraries for common instrumentation, automation, and operational needs.
Partner with infrastructure engineers and application teams to implement code changes using common reliability libraries and tools, and help Application Production Services and Application Development teammates learn to use them.
Serve as a subject matter expert in major incident triage and failure-scenario modeling, and work with the Problem Manager to diagnose root causes in major incident and problem management investigations.
Identify vulnerabilities and opportunities to improve reliability, including investigating low-level error rates and monitoring noise, and help define solutions to reduce manual support effort or improve system reliability.
Participate regularly in an on-call rotation with Production Support teammates to learn about reliability issues affecting their portfolio.