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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and scaling multi-region Kubernetes infrastructure, implementing GitOps practices, and ensuring disaster recovery and high availability. Proficient in observability stacks and AI-driven automation while fostering a culture of knowledge sharing and engineering best practices.
Highest-signal resume keywords
Kubernetes Experience (EKS/GKE/AKS)Terraform ImplementationGitOps Tooling (Flux/ArgoCD)Observability Stacks (Prometheus/Grafana/OpenTelemetry)Disaster Recovery and High Availability Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KubernetesTerraformGitOpsPrometheusGrafanaOpenTelemetryGo ProgrammingRust ProgrammingDistributed SQL DatabasesKafka/Event Streaming
Soft Skills
Ownership MindsetMentoringCoachingKnowledge Sharing
Tools & Technologies
EKSGKEAKSHelmFluxAI-Driven AutomationIncident InsightsMulti-Tenant IsolationCryptographic Audit TrailsLegacy Integrations
Industry Keywords
Multi-Region InfrastructureZero-Trust SecurityHybrid CloudRegulated EnvironmentsDisaster RecoveryHigh AvailabilityObservabilityAI-Native EngineeringAir-Gapped DeploymentsActive-Active Distributed Systems
Tech Stack
Tools & technologiesCloudDistributed SystemsFluxGrafanaKafkaKubernetesPrometheusRustSQLTerraformGo
About the role
Key responsibilities & impact- Build and scale multi-region Kubernetes infrastructure using EKS, GKE, or AKS for five-nines workloads
- Architect active-active distributed systems
- Implement Terraform, Helm, and Flux GitOps across cloud and hybrid environments
- Own disaster recovery, failover, backup/restore, and multi-region resiliency
- Drive zero-trust security, identity, multi-tenant isolation, and cryptographic audit trails
- Build and maintain observability stacks using Prometheus, Grafana, Loki, and OpenTelemetry
- Lead AI-driven automation including auto-remediation, incident insights, and AI-based root cause analysis
- Support on-premises and air-gapped deployments and legacy integrations
- Share knowledge, mentor, and coach team members
- Develop technical capability and promote engineering best practices across the organization
- Ship work directly into production environments at enterprise scale
Requirements
What you’ll need- Deep Kubernetes experience (EKS/GKE/AKS; operators/CRDs a bonus)
- Experience with Terraform in multi-cloud environments
- Experience with GitOps tooling: Flux or ArgoCD
- Experience with Kafka/event streaming
- Experience with distributed SQL databases
- Programming experience in Go, Rust, or similar
- Experience with Prometheus, Grafana, and OpenTelemetry observability stacks
- Experience designing and owning disaster recovery, high availability, and zero-trust architectures
- Strong ownership mindset across the full infrastructure lifecycle
- Comfortable operating in hybrid cloud and regulated environments
- AI-native engineering practice integrating LLMs and agentic workflows
- Willingness/ability to support on-premises and air-gapped deployments and legacy integrations
Benefits
Comp & perks- Autonomy, ownership, and technical depth of a startup combined with the scale, stability, and long-term impact of FIS
- Enterprise resources and real-world production responsibility
- High autonomy and accountability within a small, senior team
- Knowledge sharing, mentoring, and coaching opportunities
- Opportunity to shape foundational banking infrastructure at enterprise scale
