Summary
Experience
Senior Infrastructure EngineerSalesforce
- Led the migration of critical on-premise services to AWS, reducing operational costs by 20% and improving system uptime to 99.99%.
- Developed and maintained IaC templates using Terraform for over 50 AWS resources, enabling automated provisioning and configuration management.
- Implemented CI/CD pipelines with Jenkins and GitLab CI for infrastructure deployments, cutting release cycles by 30% and minimizing human error.
- Optimized AWS resource utilization through right-sizing instances and implementing auto-scaling policies, resulting in a 15% reduction in monthly cloud spend.
- Designed and deployed a centralized logging and monitoring solution using ELK stack and Prometheus, enhancing incident response time by 25%.
Infrastructure EngineerSlack
- Managed and provisioned cloud infrastructure across AWS, supporting over 100 microservices for a platform with millions of daily active users.
- Automated routine infrastructure tasks using Python and Bash scripting, saving approximately 15 hours of manual effort per week.
- Collaborated with development teams to integrate infrastructure provisioning into application deployment workflows, reducing environment setup time by 40%.
- Maintained and improved Kubernetes clusters for container orchestration, ensuring high availability and scalability for critical services.
- Participated in on-call rotation to troubleshoot and resolve production incidents, achieving an average MTTR of under 30 minutes.
Projects
Terraform AWS Module Library
- Developed a collection of reusable Terraform modules for common AWS resources (VPC, EC2, S3), reducing infrastructure setup time by 50% for new projects.
- Implemented automated testing and linting pipelines for modules using Terratest and tflint, ensuring high quality and consistency.
Home Kubernetes Cluster
- Deployed and managed a multi-node Kubernetes cluster on Raspberry Pis for personal learning and hosting various services (Plex, Grafana, Home Assistant).
- Gained hands-on experience with Helm charts, persistent volumes, and network policies in a realistic small-scale environment.
Python Cloud Cost Optimizer
- Authored a Python script utilizing AWS Boto3 to analyze resource tags and usage patterns, identifying potential cost savings.
- Generated monthly reports highlighting idle resources and recommended actions, leading to an estimated 10-12% theoretical cost reduction.
Education
Stanford UniversityMaster of Science in Computer Science
- Thesis on 'Optimizing Container Orchestration for Cloud-Native Applications'.
- Awarded Dean's Fellowship for academic excellence.
- GPA: 3.9/4.0
Skills
Cloud Platforms
AWSGoogle Cloud Platform (GCP)Azure
Infrastructure as Code (IaC)
TerraformCloudFormationAnsiblePacker
CI/CD & DevOps Tools
JenkinsGitLab CIDockerKubernetesPrometheusGrafana
Scripting & Programming
PythonBashGoYAML
Operating Systems & Networking
Linux (Ubuntu, RHEL)Windows ServerVPCDNSLoad Balancing