Candidate Profile: Senior Cloud & DevOps Engineer

Professional Summary
- Cloud and DevOps Engineer focused on AWS and GCP platform engineering, infrastructure automation, Kubernetes operations, and SRE/DevSecOps practices.
- Builds resilient, production-grade systems using Terraform, Kubernetes, CI/CD, and observability-first architecture.
- Applies reliability engineering practices (SLIs, SLOs, error budgets, golden signals) to improve uptime and reduce incident response time.
- Uses AI-assisted engineering workflows responsibly for design exploration, IaC development, testing, and incident investigation.

Core Skills
- Cloud: AWS (EKS, ECS, SageMaker, Lambda, RDS, VPC), GCP
- Infrastructure as Code: Terraform, CloudFormation
- CI/CD and GitOps: GitHub Actions, Jenkins, Argo CD, Helm
- Containers and Platform: Kubernetes (EKS, Istio), Docker
- SRE and Observability: Prometheus, Grafana, CloudWatch, SLIs/SLOs, incident response automation
- Security and Compliance: DevSecOps, IAM, KMS, OPA, Checkov, PCI-DSS, GDPR, CIS Benchmarks
- FinOps and Governance: Cost Explorer, Savings Plans, right-sizing, cost-performance tradeoff analysis
- Scripting: Python, Bash

Experience Highlights
- Architected and optimized hybrid AWS/GCP infrastructure, improving resilience and reducing latency by 35%.
- Modernized CI/CD with GitHub Actions and Argo CD; achieved 99.9% deployment success across staging/production.
- Implemented DevSecOps scanning and policy controls (Trivy, Checkov, OPA), reducing critical risk exposure by 50%.
- Built self-healing Kubernetes monitoring and alerting; reduced MTTR by up to 40%.
- Designed secure multi-node EKS clusters with service mesh and autoscaling, supporting 99.95% uptime.
- Built Terraform modules and reusable delivery pipelines for repeatable blue/green deployment patterns.
- Delivered FinOps dashboards and optimization tooling, reducing cloud spend by ~30%.
- Operated Linux-based production workloads, improving runtime stability and reducing recurring incidents.

Portfolio Themes
- Reliability-focused AWS EKS platform using SLIs/SLOs/error budgets and golden-signal monitoring.
- Enterprise AI/ML platform reliability and cost controls; reduced inference costs by ~60%.
- Cloud-native platform engineering with zero-downtime delivery and automated recovery workflows.
- AWS cloud risk assessments covering IAM, networking, storage, TLS, and CIS alignment.

Selected Certifications
- AWS Certified DevOps Engineer – Professional
- Google Cloud Professional Cloud Architect
- AWS Certified Machine Learning Engineer – Associate
- AWS Certified Security – Specialty
- AWS Certified Developer – Associate
- AWS Certified Solutions Architect – Associate
- Google Associate Cloud Engineer
- Kubernetes & Cloud Native Associate
- GitHub Advanced Security

Target Roles
- Senior DevOps Engineer
- Cloud Engineer
- Platform Engineer
- SRE / DevSecOps Engineer
