20 часов назад
Senior Enterprise Platform Support Engineer – AI & Cloud
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Enterprise Platform Support Engineer – AI & Cloud (Kubernetes/Cloud): Supporting a next-generation AI-enabled banking platform by diagnosing and resolving complex production incidents across application, platform, and infrastructure layers with an accent on observability, distributed systems, and customer-facing troubleshooting. Focus on analyzing logs, metrics, traces, and alerts, troubleshooting Kubernetes environments, validating AI-driven remediation, and improving reliability across cloud, hybrid, and customer-hosted platforms.
Location: Bengaluru, India
Company
operates in fintech, advancing technology for payments, banking, and investments.
What you will do
- Investigate and resolve complex production issues across application, platform, and infrastructure layers.
- Analyze logs, metrics, traces, and alerts to identify root causes and system correlations.
- Troubleshoot Kubernetes environments, including pods, services, deployments, and networking.
- Engage with enterprise customers to diagnose and resolve incidents in real time.
- Use observability tools and 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
- 8–15 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.
- Strong knowledge 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
- Full-time employment with competitive salary and benefits.
- Personal and professional learning opportunities.
- Inclusive and diverse work environment.
- Opportunities to contribute to the community.
- 24/7 rotational shifts.
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