Site Reliability Engineer in Cloud

Hard Skills

- Cloud Platforms: AWS, Google Cloud Platform (GCP), Azure

- Infrastructure as Code: Terraform, AWS CloudFormation, Pulumi

- Containerization & Orchestration: Kubernetes, Docker Swarm

- Monitoring & Observability: Prometheus, Grafana, Datadog, ELK Stack

- CI/CD Pipelines: Jenkins, GitLab CI, Argo CD

- Scripting & Automation: Python, Bash, Go

- Network Security & Load Balancing: Istio, HAProxy, AWS ALB/ELB

- Cloud Networking & DNS Management

- Incident Response & Root Cause Analysis

Soft Skills

- Problem-solving and analytical thinking

- Effective communication across teams

- DevOps culture advocacy

- Cross-team collaboration

- Adaptability to evolving technologies

- Mentoring junior engineers

*Senior Cloud SRE | TechNova Solutions | San Francisco, CA | Jan 2022 – Present*

- Spearheaded a migration of legacy systems to Kubernetes-based microservices on AWS, increasing deployment efficiency by 40%.

- Designed and implemented an automated multi-region disaster recovery and failover system, ensuring 99.99% uptime.

- Developed custom autoscaling policies leveraging AWS Lambda and CloudWatch for workload-based scaling, reducing operational costs by 15%.

- Led incident response efforts, reducing mean time to recovery (MTTR) from 45 to 15 minutes through improved monitoring dashboards and runbooks.

- Mentored a team of 5 junior engineers on cloud best practices and SRE principles.

*Cloud Infrastructure Engineer | CloudSync Inc. | Remote | Aug 2018 – Dec 2021*

- Managed global cloud infrastructure on GCP, optimizing resource utilization and maintaining an SLA adherence of 99.95%.

- Automated infrastructure provisioning through Terraform, enabling rapid scaling across new regions with minimal manual intervention.

- Implemented comprehensive observability stack (Prometheus, Grafana, ELK) to track system health, significantly decreasing alert noise and false positives.

- Collaborated with developers to integrate CI/CD pipelines with GitLab CI, ensuring zero-downtime deployments.

- Developed GCP-based cost monitoring tools, achieving a 20% reduction in cloud spend annually.

*Cloud Operations Specialist | DataStream Analytics | San Jose, CA | Jun 2016 – Jul 2018*

- Managed containerized data processing pipelines on Docker Swarm, ensuring seamless data ingestion and processing.

- Automated server provisioning and updates, decreasing setup time by 30%.

- Implemented security protocols and best practices, resulting in audit-compliant cloud systems.

- Conducted root cause analysis for major outages, visually mapping dependencies and preventing recurrence through configuration improvements.

**Bachelor of Science in Computer Science**

University of California, Berkeley | 2012 – 2016

- Certified Kubernetes Administrator (CKA) | 2023

- AWS Certified Solutions Architect – Professional | 2022

- Google Cloud Professional Cloud Architect | 2021

- DevOps Foundation Certification | 2020

Multi-Cloud Disaster Recovery Platform

Designed a resilient multi-cloud architecture leveraging AWS and GCP to automate failover and backup strategies, decreasing recovery time by 70% during outages.

Cost-Optimized Kubernetes Platform

Led an initiative to implement horizontal pod autoscaling combined with predictive cost analytics, resulting in a 25% reduction in cloud expenditure while maintaining performance SLAs.

Real-Time Monitoring & Alert System

Built an integrated monitoring dashboard with Prometheus, Grafana, and Slack integrations, providing real-time insights that reduced incident response time and improved system reliability.

- Terraform, CloudFormation, Pulumi

- Kubernetes, Docker, Helm

- Prometheus, Grafana, Datadog, ELK Stack

- Jenkins, GitLab CI, Argo CD

- Python, Bash, Go

- AWS, GCP, Azure

- Istio, Envoy, HAProxy

- English (Native)

- Spanish (Proficient)