Senior Enterprise Platform Support Engineer AI & Cloud

FIS

Bengaluru

On-site

INR 3,000,000 - 4,500,000

Full time

14 days+

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Job summary

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.

Qualifications

  • 8 to 15 years of hands-on production or customer-facing troubleshooting experience.
  • Practical experience with Kubernetes and containerized environments.
  • Ability to interpret logs, metrics, traces and alerts across distributed systems.
  • Solid understanding of Linux, networking, APIs and service architectures.
  • Proven experience in a customer-facing technical support or escalation role.
  • Strong problem-solving and analytical skills with clear communication.

Responsibilities

  • Investigate and resolve complex production issues across application, platform, and infrastructure layers.
  • Analyze logs, metrics, traces, and alerts to identify root causes and 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 diverse stakeholders.
  • Use observability tools to monitor system health and investigate anomalies.
  • Leverage AI-driven insights for incident detection 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 reliability improvements.
  • Work in 24/7 rotational shifts.

Skills

Kubernetes
Linux
Networking
APIs
Customer-facing
Problem-solving
Communication
AI tools

Tools

Prometheus
Grafana
Splunk
Datadog
Terraform
Helm
ArgoCD
Flux

Job description

Senior Enterprise Platform Support Engineer AI Cloud

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


About the Role

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.


What You Will Be Doing

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


Required Qualifications

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


Preferred Qualifications

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


What We Offer you

At FIS, you can grow your career as far as you want to take it. Heres what else we offer:



  • Opportunities to make an impact in fintech

  • Personal and professional learning

  • Inclusive, diverse work environment

  • Resources to give back to your community

  • Competitive salary and benefits


Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the .

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