Likhita P.
Site Reliability Engineer / Devops EngineerDevOps | SRE | MLOps | AIOps | FinOps | Building Scalable, Intelligent, Self-Healing Platforms | GCP • Azure • AWS | Cloud Innovator
- Role
- Devops Engineer Platform Engineer at Amazon
- Location
- Dallas, TX, US
- LinkedIn followers
- 500 followers
About Likhita P.
Cloud-Agnostic | Cost-Efficient | Reliability-DrivenI\'m a results-oriented DevOps & Site Reliability Engineer with experience in delivering secure, automated, and intelligent cloud infrastructure across GCP, Azure, and AWS. Currently supporting cloud modernization, site reliability, and AIOps initiatives for a leading Fortune 500 financial services client - EQUIFAXI specialize in: Infrastructure as Code: Terraform, Terragrunt, Ansible, CloudFormation, ARM Templates Containers & Orchestration: Kubernetes, Docker, Helm, ArgoCD, FluxCD CI/CD Automation: GitHub Actions, Jenkins, Groovy scripting, Azure DevOps🧠 Monitoring & Observability: Datadog, Prometheus, Grafana, Splunk, AppDynamics, Sumo Logic, LogicMonitor, Goldilocks Policy & Governance: Kyverno, RBAC, Compliance Enforcement Automation & Scripting: Python, Bash, Shell — for tooling, integrations, and operational efficiency FinOps & AIOps: GCP Budgets/APIs, Unit Economics Dashboards, Alert Automation, Self-Healing Workflows🤖 MLOps: Kubeflow, MLflow, A/B deployments, CI/CD pipelines for model lifecycleI\'ve worked on strategic cloud transformation projects for different clients enabling scalable infrastructure, improving system reliability, and driving cloud cost savings through FinOps strategies.I thrive in cross-functional, high-impact environments where automation, observability, and efficiency converge to drive engineering velocity and business value.
Experience
Devops Engineer Platform Engineer
Oct 2025 — Present · US
Operate and maintain Kubernetes workloads on Amazon EKS, improving platform scalability, autoscaling behavior, and deployment stabilty across distributed services. Handle production incident management and on-call response, diagnosing infrastructure, networking, and application-level failures acrosslarge-scale systems. Develop internal automation and operational tooling using Python, accelerating incident remediation and improving operational efficiency. Manage AWS infrastructure including EC2, VPC networking, IAM, EKS clusters, ELB load balancers, S3 storage, and CloudWatch monitoring. Contributed to SAS and JDK migration initiatives, modernizing legacy services and improving runtime performance and platform stability. Build operational dashboards and system insights using internal monitoring platforms and AWS telemetry tools.🤖 Develop platform innovations including MCP server integrations, agentic AI operational utilities, and analytics dashboards to improve infrastructure observability.🤝 Collaborate with engineering teams across the retail domain to troubleshoot performance bottlenecks and improve system reliability.
Education
Western Michigan University
Master's degree, Data Science and Artificial Intelligence
KL University
Bachelor's degree, Cloud Technology and Information Security
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