GURUSHANKAR SEETHARAMAN
San Diego, CA 804-***-**** ***********@*****.*** linkedin.com/in/gurushankar-seetharaman SENIOR PLATFORM ENGINEER SRE AI-POWERED CLOUD INFRASTRUCTURE Platform engineer and SRE with 18+ years building cloud-native infrastructure, Kubernetes platforms, and CI/CD systems across fintech, semiconductor, healthcare, and enterprise banking. Currently designing AI-powered operational tooling at a high-growth fintech, including LLM-integrated platforms for incident intelligence, automated alert triage, and cluster-wide diagnostics across 20+ EKS environments. Track record of driving $1M+ in infrastructure cost savings, reducing deployment times by 70%, and leading engineering teams through large-scale cloud transformations. AREAS OF EXPERTISE
Cloud Platforms & Infrastructure CI/CD Automation Infrastructure as Code (IaC) DevSecOps Platform Engineering & SRE Kubernetes & Container Orchestration AI-Powered Operational Tooling Security & Compliance Observability & Monitoring Cloud Cost Optimization System Architecture Cross-Functional Engineering Leadership Automation & Scripting High-Concurrency Systems Incident Intelligence & Response Developer Productivity Tools Cloud Migrations & Strategy Programming: Python FastAPI Bash PowerShell C# ASP.NET Java JavaScript Node.js Cloud Platforms: AWS (EKS, EC2, IAM, VPC, S3, ECR, Secrets Manager, CloudWatch) Azure DevOps GCP (GKE) Kubernetes & Platform: EKS Karpenter Helm Kustomize Docker Linkerd CoreDNS Kyverno GitOps & IaC: Flux CD ArgoCD Argo Workflows Terraform Terraform Cloud Ansible AI & LLM Integration: OpenAI GPT-4o API Claude API Prompt Engineering Agentic Workflows LLM-Assisted Analysis CI/CD Tools: Jenkins TeamCity GitLab CI GitHub Actions Octopus Deploy Azure DevOps Observability: Datadog Prometheus Grafana ELK Stack (Logstash, Kibana) Splunk Cortex CloudWatch Networking & Security: DNS VPC VPN IAM Security Groups Load Balancers SAST/DAST Secrets Management Messaging & Queues: Kafka AWS SNS SQS Redis Memcached Certifications: PMP Certified Scrum Master (CSM) ITIL Foundation MCSD KEY ACHIEVEMENTS
AI-Powered Platform Intelligence
• Built an Incident Intelligence Platform that aggregates real-time data from incident.io, Datadog, Slack, and JIRA, using OpenAI GPT-4o to automate root cause analysis, recurrence risk scoring, and executive reporting.
• Created an LLM-powered alert triage system that classifies incoming alerts as Noise, Warranted, or Unclear, cutting manual review time and improving signal-to-noise ratio for on-call engineers.
• Developed a Platform Health Analyzer that scans 20+ EKS clusters across multiple AWS accounts and generates context-aware remediation steps aligned to the team's GitOps workflows. CI/CD & Automation Efficiency
• Reduced deployment time by 70% across 100+ microservices by standardizing CI/CD pipelines with Jenkins, Terraform, and Ansible, cutting manual overhead and improving release frequency.
• Eliminated $500K+ in annual costs tied to manual release processes through end-to-end pipeline automation.
• Improved developer productivity 30% with auto-triggered, environment-specific pipelines and GitHub Actions. AI/ML Infrastructure & Observability
• Cut model deployment cycles in half by building autoscaling Kubernetes clusters paired with a Cortex and Prometheus observability layer for real-time monitoring.
• Increased platform uptime by 40% through self-healing infrastructure, optimized scheduling, and proactive alerting.
• Introduced AI/ML observability workflows that integrate model health checks, inference latency tracking, and performance telemetry into existing production monitoring systems. DevSecOps & Security Transformation
• Reduced vulnerability exposure time by 80% by embedding automated SAST/DAST scanning, policy enforcement, and compliance gates directly into CI/CD pipelines across all environments.
• Improved audit readiness by 90% through automated encryption, role-based access controls, and IAM governance.
• Minimized production risk with container image scanning, Vault integration, and centralized secrets management. Cloud Cost Optimization
• Delivered $1M+ in annual infrastructure savings through consolidation, rightsizing, and strategic use of spot instances.
• Led cost attribution analysis across 9 AWS resource categories totaling $440K+ in monthly spend, mapping costs to teams and identifying key optimization targets.
Scalability & Reliability
• Designed high-concurrency systems with transactional locking and optimized request handling to support latency- sensitive workloads across production financial services infrastructure.
• Implemented zero-downtime Kubernetes deployments with automated rollback and progressive delivery via ArgoCD.
• Drove site reliability improvements tracked through OKRs for infra health, observability, and availability. Leadership & Strategic Impact
• Led a team of 10+ engineers to build unified DevSecOps pipelines serving 150+ production services.
• Accelerated release velocity by 3x through GitOps adoption, Helm chart standardization, and pipeline consolidation.
• Recognized by CTO for platform reliability improvements and building automated incident response capabilities. PROFESSIONAL EXPERIENCE
EarnIn Remote 02/2025 – Present
SENIOR PLATFORM ENGINEER
• Designed and built an AI-powered Incident Intelligence Platform that centralizes data from incident.io, Datadog, Slack, and JIRA, giving engineering leadership a single view into incident patterns and response quality.
• Integrated OpenAI GPT-4o APIs to automate incident analysis, generating recurrence risk scores, identifying response gaps, and assessing real-time business impact across production systems.
• Built a Platform Health Analyzer that scans 20+ EKS clusters across multiple AWS accounts, surfacing context-aware remediation steps aligned to the team's GitOps workflows.
• Developed an AI-powered alert triage system that classifies alerts as Noise, Warranted, or Unclear using LLM-assisted analysis, cutting on-call fatigue and sharpening incident response.
• Own and operate platform infrastructure spanning production, staging, sandbox, management, and PCI-compliant environments across 20+ EKS clusters with full lifecycle ownership.
• Manage core platform components including Karpenter, Linkerd, Kyverno, CoreDNS, cert-manager, ExternalSecrets, ECR replication, and the GitOps delivery layer.
• Led AWS cost attribution analysis across 9 resource categories and 15+ accounts, mapping $440K+ in monthly spend to specific teams, services, and infrastructure components. Qualcomm San Diego, CA 11/2022 – 11/2024
SENIOR STAFF DEVOPS ENGINEER (AI SOFTWARE TEAM)
• Built CI/CD pipelines for TensorFlow-based AI/ML inference models targeting edge devices, automating the full path from training artifacts to production.
• Managed EKS clusters and containerized environments for distributed AI teams, ensuring secure, reproducible deployments across AWS regions.
• Automated infrastructure provisioning with Terraform and Jenkins, reducing environment setup time and eliminating configuration drift across accounts.
• Deployed a Prometheus and Grafana observability stack that improved pipeline reliability and gave teams early visibility into cluster health issues.
• Embedded vulnerability scanning, IAM policy enforcement, and container image validation directly into every stage of the deployment pipeline.
• Supported model validation automation and cross-geography infrastructure replication, enabling consistent deployment lifecycles across global teams.
Truist Bank San Diego, CA 01/2018 – 11/2022
SENIOR DEVOPS (CI/CD) ENGINEER
• Designed CI/CD pipelines for enterprise banking applications using TeamCity, Octopus Deploy, and Jenkins, automating a previously manual release workflow.
• Built infrastructure-as-code automation with Ansible and Terraform, standardizing provisioning workflows across regulated, SOC-audited AWS environments.
• Managed Kubernetes clusters and Docker-based container platforms in a SOC-audited banking environment under strict change control and documented release procedures.
• Implemented CloudWatch and Grafana dashboards giving operations teams real-time visibility into system health, performance metrics, and deployment status.
• Optimized source control workflows and automated testing pipelines, significantly reducing deployment failures and strengthening team-wide release confidence.
Mitchell International San Diego, CA 06/2015 – 12/2017 SENIOR DEVOPS (CI/CD) ENGINEER
• Built Jenkins-based CI/CD pipelines for .NET and Java applications, automating previously manual build and deployment processes with repeatable, version-controlled workflows.
• Decomposed monolithic builds into testable components, cutting deployment cycle times and broadening unit test coverage across the full application codebase.
• Integrated AWS services into the CI/CD pipeline and managed infrastructure automation with Terraform and Ansible.
• Deployed a Prometheus and Grafana monitoring stack that improved pipeline reliability and gave teams faster visibility into cluster and node health degradation.
• Managed Kubernetes clusters and Docker environments, improving infrastructure scalability and streamlining day-to- day platform operations and incident response.
Humana Louisville, KY 12/2014 – 06/2015
LEAD DEVELOPER
• Led the rebuild of legacy applications into responsive web platforms using .NET MVC, JavaScript, and Kendo UI.
• Provided technical direction to onshore and offshore development teams, ensuring consistent delivery standards and engineering quality across all project streams.
• Implemented SHA-256 encryption and led new engineer onboarding through structured training, mentoring, and hands-on coaching across all active project streams. SWBC San Antonio, TX 07/2014 – 11/2014
LEAD PROGRAMMER ANALYST
• Modernized legacy applications with ASP.NET MVC and WCF, improving page load performance and user experience.
• Redesigned application data flow using MVVM architecture and RESTful APIs, simplifying service communication and reducing tight coupling between system components. Enterprise Products Houston, TX 02/2014 – 06/2014 SENIOR PROGRAMMER ANALYST
• Built frontend automation for oil and gas operations using Kendo UI, Knockout JS, C#, and Entity Framework. Intel India Technology Pvt Ltd Bangalore, India 01/2005 – 02/2014 APPLICATION DEVELOPMENT LEAD / PROJECT MANAGER
• Led global project delivery across planning, estimation, resource allocation, and cross-functional coordination.
• Managed end-to-end delivery timelines, balancing resource allocation and schedule constraints across regions.
• Streamlined global support operations, reducing costs through targeted process improvements and automation. ADDITIONAL EXPERIENCE
Accenture Bangalore, India SENIOR SOFTWARE ENGINEER
• Delivered Microsoft and Java-based solutions across full project life cycles from requirements and design through production deployment, testing, and ongoing support. EDUCATION
MASTER OF COMPUTER APPLICATIONS (MCA) Bharathidasan University Tiruchirappalli, India