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FIS is seeking a Senior Enterprise Platform Support Engineer AI Cloud in Bengaluru to diagnose and resolve complex production issues across application, platform, and infrastructure layers. You will engage with enterprise customers in real time and drive rapid root-cause resolution using logs, metrics and AI-driven insights.
The role requires hands-on Kubernetes, Linux, networking, APIs and distributed systems expertise, with strong communication and problem-solving skills.
At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If youre ready to grow your career and make an impact in fintech, we have one question: Are you FIS
You will support a next-generation, AI-enabled banking platform used by Tier-1 financial institutions. This is a hands-on, customer-facing role focused on diagnosing, troubleshooting, and resolving complex production issues across application and infrastructure layers. You will connect system behaviour, observability data, and customer impact to drive root cause resolution. Success is measured by speed, accuracy, and customer trust during critical incidents.
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 directly with enterprise customers to diagnose and resolve incidents in real time
Communicate technical findings clearly to both technical and non-technical stakeholders
Use observability tools to monitor system health and investigate anomalies
Leverage AI-driven insights for incident detection, root cause analysis, and remediation validation
Improve runbooks, dashboards, alerts, and support processes based on recurring issues
Support cloud, hybrid, and customer-hosted platform environments
Collaborate with engineering and product teams to drive long-term reliability improvements
Will be working in 24/7 Rotational shifts
8 to 15 years of strong 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
Proven experience in a customer-facing technical support or escalation role
Strong problem-solving skills with a structured, analytical approach
Clear communication skills for diverse stakeholder audiences
Experience using or integrating AI tools or large language models in technical workflows
Experience supporting SaaS platforms, banking systems, fintech, or regulated environments
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
Exposure to infrastructure-as-code and deployment tools such as Terraform or Helm
Knowledge of continuous delivery tools such as ArgoCD or Flux
Experience working with streaming platforms or distributed data systems
Familiarity with enterprise monitoring tools such as Prometheus, Grafana, Splunk, or Datadog
At FIS, you can grow your career as far as you want to take it. Heres what else we offer:
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