Support Engineer - Enterprise Platforms (AI)

Location: Hybrid, with 3 days onsite at hirify.global offices in Jacksonville, Florida; Milwaukee, Wisconsin; Atlanta, Georgia; or New York City, New York.

Salary: $144,730–$246,040 per year.

Company

hirify.global is a financial technology company providing banking and payments technology, including an AI-enabled autonomous banking platform for Tier-1 financial institutions.

What you will do

• Investigate and resolve complex production, platform, infrastructure, and customer issues.
• Analyze logs, metrics, traces, and alerts to identify root causes across distributed systems.
• Troubleshoot Kubernetes and container environments, including pods, services, deployments, networking, and resources.
• Work directly with enterprise banking customers during technical investigations and escalations.
• Use observability tools such as Prometheus, Grafana, Loki, OpenTelemetry, Datadog, and Splunk.
• Improve runbooks, dashboards, alerts, and support processes based on recurring incidents.

Requirements

• Strong hands-on troubleshooting experience in production or customer-facing technical environments.
• Hands-on experience with Kubernetes and containers.
• Ability to interpret and correlate logs, metrics, traces, and alerts.
• Strong understanding of Linux, networking fundamentals, APIs, services, and distributed systems.
• At least one previous customer-facing technical role, including investigations, escalations, or production support.
• Current and future visa sponsorship is not available.

Nice to have

• Experience with enterprise SaaS, banking platforms, fintech systems, or regulated infrastructure.
• Familiarity with AWS, GCP, Azure, or on-premises enterprise deployments.
• Exposure to Helm, Terraform, Flux, ArgoCD, Kafka, deployment workflows, or distributed databases.

Culture & Benefits

• Hands-on, customer-facing work with direct impact on production reliability and customer trust.
• Collaboration across customer, support, engineering, platform, and product teams.
• Work with AI-driven SRE capabilities, including incident insights, auto-remediation, and AI-based root-cause analysis.
• Full-time employment with competitive compensation.