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7 дней назад

Support Engineer – Enterprise Platforms (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Support Engineer – Enterprise Platforms (AI): Supporting and troubleshooting a next-generation AI-enabled banking platform for Tier-1 financial institutions with an accent on production incident resolution, observability, and Kubernetes operations. Focus on diagnosing distributed-system failures, validating AI-driven remediation, and improving platform reliability across cloud, hybrid, and customer-hosted environments.

Location: Bengaluru, India

Company

hirify.global develops technology for payments, banking, and investment services, including fintech platforms for financial institutions.

What you will do

  • Investigate and resolve complex production issues across application, platform, and infrastructure layers.
  • Analyze logs, metrics, traces, alerts, and observability data to identify root causes and system correlations.
  • Troubleshoot Kubernetes environments, including pods, services, deployments, and networking.
  • Work directly with enterprise customers during real-time incidents and communicate findings to technical and non-technical stakeholders.
  • Use AI-driven insights for incident detection, root cause analysis, and remediation validation.
  • Improve runbooks, dashboards, alerts, and support processes while collaborating with engineering and product teams on reliability improvements.

Requirements

  • 8–12 years of hands-on experience troubleshooting production or customer-facing systems.
  • Practical experience with Kubernetes and containerized environments.
  • Ability to interpret logs, metrics, traces, and alerts across distributed systems.
  • Solid understanding of Linux, networking fundamentals, APIs, and service architectures.
  • Experience in customer-facing technical support or escalation roles.
  • Experience using or integrating AI tools or large language models in technical workflows.

Nice to have

  • Experience with SaaS platforms, banking systems, fintech, or regulated environments.
  • Familiarity with AWS, Azure, or Google Cloud.
  • Exposure to Terraform, Helm, ArgoCD, or Flux.
  • Experience with streaming platforms, distributed data systems, Prometheus, Grafana, Splunk, or Datadog.

Culture & Benefits

  • 24/7 rotational shifts.
  • Personal and professional learning opportunities.
  • Inclusive and diverse work environment.
  • Opportunities to contribute to the community.
  • Competitive salary and benefits.

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