Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
FIS

Senior Site Reliability Engineer – Support

FIS

Support Engineer for a newly acquired startup in autonomous banking. Hands-on role troubleshooting complex platform issues for tier-1 financial institutions in India.

Posted 7/6/2026full-timePune • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong troubleshooting capabilities in complex technical environments, particularly with Kubernetes and container technologies. Proficient in analyzing logs, metrics, and alerts to identify root causes and effectively communicate findings to both technical and non-technical stakeholders.

Highest-signal resume keywords
Kubernetes TroubleshootingLog AnalysisCustomer-Facing Technical SupportAI-Driven Incident ManagementLinux and Networking Fundamentals

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
TroubleshootingLog InterpretationContainer ManagementDistributed SystemsAPIsMetrics AnalysisIncident ResolutionProblem SolvingTechnical InvestigationRoot Cause Analysis
Soft Skills
Ownership MindsetCommunicationCustomer EngagementBias Toward ResolutionPractical Problem Solver
Tools & Technologies
KubernetesPrometheusGrafanaLokiOpenTelemetryDatadogSplunk
Industry Keywords
Banking PlatformCloud DeploymentsHybrid EnvironmentsCustomer-Facing EnvironmentsTechnical Escalations

Tech Stack

Tools & technologies
CloudGrafanaKubernetesLinuxPrometheusSplunk

About the role

Key responsibilities & impact
  • Investigate and resolve complex technical issues across application, infrastructure, and platform layers
  • Analyze logs, metrics, traces, and alerts to identify root causes and correlate symptoms across systems
  • Troubleshoot Kubernetes and container issues, including pods, services, deployments, networking, and resources
  • Engage directly with enterprise banking customers to understand, investigate, and resolve technical issues
  • Communicate findings clearly to technical and non-technical customer stakeholders during investigations
  • Use tools such as Prometheus, Grafana, Loki, OpenTelemetry, Datadog, Splunk, or similar to investigate behavior
  • Work with the platform's AI-driven SRE capabilities — incident insights, auto-remediation, and AI-based root cause analysis — validating findings and acting on them
  • Improve runbooks, dashboards, alerts, and support processes based on recurring issues and lessons learned
  • Support Kubernetes-based banking platform environments across cloud, hybrid, and customer-hosted deployments
  • Assist with deployment-related troubleshooting when required

Requirements

What you’ll need
  • Strong hands-on troubleshooting experience across production or customer-facing technical environments
  • Hands-on experience with Kubernetes and containers
  • Ability to read, interpret, and correlate logs, metrics, traces, and alerts
  • Strong understanding of Linux, networking fundamentals, APIs, services, and distributed system behavior
  • At least one proven customer-facing technical role is required
  • Experience working directly with customers during investigations, escalations, or production support scenarios
  • Strong ownership mindset and bias toward resolution
  • Practical, hands-on problem solver who enjoys investigation and troubleshooting
  • AI-native: integrates LLMs and AI tooling into daily investigation and support work

Benefits

Comp & perks
  • FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients
  • Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies