DevOps Engineer - AWS & GitOps Specialist

Nirosha Karre

DevOps Engineer

+1-870-***-**** ************@*****.*** LinkedIn

Professional Summary:

Results-driven DevOps Engineer with 6 years specializing in AWS cloud migrations and GitOps-driven container orchestration for high-stakes finance applications at PNC Financial Services. Excelled in automating EKS-based microservices deployments using Terraform, ArgoCD, and AI-powered AIOps (SageMaker, Grafana ML), slashing deployment times by 40% and boosting uptime to 99.99% for banking platforms. Expert in DevSecOps, FinOps, and predictive analytics to deliver secure, scalable infrastructure amid regulatory demands like SOC2. Technical Skills:

Cloud Platforms: AWS (EC2, S3, EKS, Lambda, RDS, CloudWatch, IAM, SageMaker), Azure (VMs, AKS, App Services, Monitor, Key Vault), GCP (Compute Engine, GKE, Cloud Run)

CI/CD Tools: Jenkins, GitLab CI/CD, GitHub Actions, Azure DevOps, Bitbucket Pipelines, ArgoCD, AWS CodePipeline

Containerization & Orchestration: Docker, Kubernetes (EKS, AKS, GKE), Helm, OpenShift, Kustomize, Kubernetes Operators

Infrastructure as Code (IaC): Terraform, AWS CloudFormation, Ansible, ARM Templates, Pulumi, GitHub Copilot

Monitoring & Logging: ELK Stack, Prometheus, Grafana (ML plugins), AWS CloudWatch, Azure Monitor, Datadog, AIOps (SageMaker, MLflow)

Scripting & Automation: Bash, PowerShell, Python, Go

Security Tools: SonarQube, Checkmarx, Fortify, Aqua Security, HashiCorp Vault, Prisma Cloud, Trivy

Artifact Management: Nexus, JFrog Artifactory, AWS CodeArtifact, Harbor

Databases & Storage: MySQL, PostgreSQL, MongoDB, Azure SQL, Redis, DynamoDB

DevOps Practices: GitOps, DevSecOps, AIOps, FinOps, Agile/Scrum, Site Reliability Engineering (SRE) Certifications:

Microsoft Certified: Azure Fundamentals (AZ-900)

Microsoft Certified: Azure Administrator (AZ-104) Professional Experience:

PNC Financial Services DevOps Engineer Pittsburgh, PA Aug 2023 – Present

Designed multi-stage CI/CD pipelines with Jenkins, GitHub Actions, and AWS CodePipeline for core banking apps, cutting release cycles from 2 weeks to 3 days—a 40% reduction.

Led migration of monolithic Java apps to AWS EKS microservices for transaction processing, enhancing scalability by 35% during peak trading volumes.

Implemented GitOps workflows via ArgoCD for EKS clusters, enabling automated canary releases and zero- downtime blue-green deployments for fraud detection services.

Automated AWS infrastructure provisioning with modular Terraform and CloudFormation, reducing manual setup time by 30% across 50+ dev/test/prod environments.

Embedded SonarQube, Checkmarx, and Fortify into pipelines for SOC2 compliance, scanning 100% of code commits and blocking 95% of vulnerabilities pre-merge.

Developed AI-driven dashboards in Prometheus/Grafana with SageMaker anomaly detection, maintaining 99.99% uptime and predicting outages 24 hours in advance.

Rolled out FinOps controls in AWS Cost Explorer and budgets, optimizing spend by 20% monthly on EKS and Lambda resources for financial workloads.

Integrated AWS Secrets Manager, KMS encryption, and Trivy scans for container security, fortifying payment gateway apps against breaches.

Partnered with devs, security, and compliance teams to cut incident response by 45%, via automated alerting and post-mortems for banking platform stability.

Environment: AWS (EKS, EC2, S3, RDS, Lambda, IAM, CloudWatch, SageMaker), Jenkins, GitHub Actions, ArgoCD, Docker, Terraform, CloudFormation, Prometheus, Grafana, ELK Stack, SonarQube, Checkmarx, Fortify, Trivy, Nexus, GitOps, FinOps.

Max Healthcare DevOps Engineer India Jan 2021 – Dec 2022

Orchestrated migration of EMR systems to Azure App Services and SQL Database, boosting query performance by 25% for 1M+ patient records.

Engineered CI/CD pipelines in Azure DevOps and Jenkins for patient portal and diagnostics apps, automating 200+ daily deployments with 99.9% success rate.

Containerized .NET health analytics apps in Docker and scaled on AKS clusters, handling 5x peak loads during COVID surges without downtime.

Provisioned secure IaC with ARM Templates and Terraform for multi-tenant dev/QA/prod, enabling self- service spins and cutting provisioning by 40%.

Deployed Azure Monitor with Grafana ML plugins for AI anomaly detection, reducing MTTR from 4 hours to 1.7 hours—30% improvement.

Collaborated on DevSecOps with Key Vault secrets and Aqua Security scans, ensuring HIPAA compliance for sensitive PHI in mobile health apps.

Automated integration testing and chaos engineering in pipelines, accelerating release cycles by 35% for telemedicine features.

Adopted GitOps with kustomize for AKS configs, streamlining rollbacks and audits for diagnostics imaging workloads.

Built compliance dashboards tracking HIPAA metrics, achieving 100% audit pass rate and proactive risk flagging via AIOps.

Environment: Azure (VMs, AKS, App Services, SQL Database, Monitor, Key Vault), Azure DevOps, Jenkins, Docker, Kubernetes (AKS), Terraform, ARM Templates, Grafana, Prometheus, Aqua Security, SonarQube, MLflow, GitOps, HIPAA tools.

Tech Mahindra DevOps Engineer India Jun 2019 – Jan 2021

Directed AWS migration of telecom billing apps from on-prem to EC2/RDS, slashing infra costs by 28% and setup delays by 50%.

Built Jenkins/GitLab CI pipelines for microservices handling 10M+ billing transactions, reducing manual deploys by 50% via automation.

Containerized Java apps with Docker and deployed to EKS with Helm charts, scaling to support 3x traffic spikes in real-time billing.

Automated multi-cloud IaC using Terraform/Ansible for hybrid envs, ensuring consistent configs and 99.95% SLA adherence.

Created ELK/Prometheus-Grafana observability stacks for SLA dashboards, pinpointing issues 40% faster for network ops teams.

Integrated Checkmarx, Fortify, and Prisma Cloud into pipelines for telecom compliance, remediating 90% of high-risk vulns automatically.

Configured K8s rolling updates, HPA auto-scaling, and liveness probes, eliminating downtime during 500+ monthly releases.

Teamed with engineers to optimize pipelines, lifting operational efficiency by 35% through shared GitOps repos and AI log analytics.

Engineered SageMaker-based anomaly models in ELK for predictive alerting, improving incident accuracy by 50% on billing logs.

Environment: AWS (EC2, EKS, RDS, S3, IAM, CloudWatch), Jenkins, GitLab CI, Docker, Kubernetes (EKS), Terraform, Ansible, ELK Stack, Prometheus, Grafana, Checkmarx, Fortify, Prisma Cloud, Nexus, SageMaker, DevSecOps. Educational Qualification:

Master’s in Engineering Management, Arkansas State University Jonesboro, AR.

Bachelor’s in Civil Engineering, Vaageswari College of Engineering, JNTUH India.

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