Senior Enterprise Platform Support Engineer – AI & Cloud
FIS
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Benefits offered by this job
Job summary
FIS in Bengaluru seeks a Senior Enterprise Platform Support Engineer – AI & Cloud. This is a hands-on, customer-facing role diagnosing and resolving complex production issues across application, platform and infrastructure layers.
You will analyze logs, metrics and traces, troubleshoot Kubernetes, and engage with enterprise customers in real time. The role requires 8–15 years of experience, 24/7 shifts, and collaboration with engineering and product teams to improve reliability.
Qualifications
- 8 to 15 years of hands-on experience troubleshooting production or customer-facing systems.
- Kubernetes and containerized environments experience.
- Ability to interpret logs, metrics, traces, and alerts across distributed systems.
- Strong Linux, networking fundamentals, and APIs knowledge.
Responsibilities
- 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
Skills
Tools
Job description
Experienced (relevant combo of work and education)
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 you’re ready to grow your career and make an impact in fintech, we have one question~ Are you FIS?
Full time
Experienced (relevant combo of work and education)
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 you’re 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
- 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
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 Online Privacy Notice.
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
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