Ramya Sree
Montreal,Canada
Summary
DevOps & Site Reliability Engineer with 6+ years of experience in designing, automating and operating highly available cloud-native platforms on AWS and Azure. Strong expertise in Kubernetes , Terraform, Jenkins, GitHub Actions, Gitlab, CI/CD, SRE (SLI, SLO, SLA), observability and incident management. Proven track record of improving deployment reliability, system availability and operational efficiency.
Overview
7
7
years of professional experience
1
1
Certification
Work History
DevOps Engineer
Tecsys Inc
05.2021 - Current
- AWS & Kubernetes Engineering – Designed and operated highly available AWS, EKS microservices platforms managing containerization, Keycloak authentication and secure, scalable production environments (~18% cost optimization).
- Infrastructure as Code (Terraform) – Built reusable modules to standardize multi-environment infrastructure, reducing manual provisioning by 40–50% and improving deployment speed (~30%).
- CI/CD & Release Automation – Developed and optimized GitLab pipelines for automated, low-risk deployments, reducing manual effort (~40%) and improving release reliability (~30%).
- Production Ownership & On-Call Support – Managed mission-critical systems, led incident resolution and RCA and ensured reliability of SFTP and PostgreSQL platforms.
- SRE & Reliability Practices – Implemented SLIs/SLOs, automated operational tasks and conducted resilience testing to enhance system stability and availability.
- Monitoring & Observability – Built monitoring stacks using Prometheus, Grafana, Datadog and CloudWatch, reducing false alerts and accelerating MTTR through tracing and log correlation.
- Cloud Cost Optimization – Improved AWS and EKS efficiency (~20%) through right-sizing and infrastructure tuning without impacting performance.
- Agile & Scrum Leadership – Served as Scrum Master, driving sprint planning, release coordination and cross-team collaboration to improve delivery predictability (~18%).
DevOps Engineer
Canada life
01.2019 - 04.2021
- CI/CD & Data Platform Automation – Automated Azure Databricks and Data Lake deployments (30+ pipelines) using Azure DevOps YAML templates, reducing manual effort by ~70%.
- Git Governance & Release Standards – Defined branching strategies and release conventions across 3 repositories, reducing deployment errors by ~30%.
- Monitoring & Reliability – Implemented observability and automated alerts for SLA tracking and pipeline failures, cutting troubleshooting time by 35–50%.
- Collaboration & DevOps Enablement – Partnered with data engineering teams to drive DevOps adoption, authored runbooks and best practices, reducing ad-hoc support and onboarding time by ~30–40%.
Education
Bachelor of Engineering -
01-2016
Skills
- AWS
- Azure Devops
- Azure Databricks
- Data Lake platform
- Cloud cost optimization
- Kubernetes
- Docker
- Kubeapps
- Kubernetes Dashboard
- Helm
- Prometheus
- Grafana
- Datadog
- Splunk
- AWS cloud Watch
- Terraform
- GitLab CI/CD
- GitOps Tools
- ArgoCD
- Rapid7
- Keycloak
- Secure SFTP server management
- FedRAMP compliance awareness
- PostgreSQL
- SQL
- SFTP servers
- Axway
- Iguana
- Bartender
- Microsoft DevBox
- Microsoft Dev Portal
- Jira
- Azure DevOps boards
- Python
- Java
- Linux shell scripting
- Istio
- Kiali
Certification
- Professional Scrum Master (PSM)
- Microsoft Certified: Azure Fundamentals (AZ-900)
Personal Information
Work Permit: Canadian Citizen
Timeline
DevOps Engineer
Tecsys Inc
05.2021 - Current
DevOps Engineer
Canada life
01.2019 - 04.2021