Sri Sindhu Nunna

SRE (Site Reliability Engineer)

India1 yr 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Implemented automation for OS patching at Amazon.
Resolved over 6000 code quality issues.
Achieved cost reduction through infrastructure optimization.

Stackforce AI infers this person is a DevOps Engineer with strong expertise in cloud infrastructure and automation.

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Skills

Core Skills

KubernetesSite Reliability EngineeringDevopsAws

Other Skills

Amazon EKSRubyAmazon Route 53ArgoArgo VaultKubectlMockitoSonar issuesAutomationLokiTerraformGrafanaSystem MonitoringMonitoringElastic search

About

As a Computer Science and Engineering student at Gayatri Vidya Parishad, I am eager to apply my skills and knowledge in the field of DevOps. I have a strong passion for learning new technologies and improving the quality and security of software delivery. I have recently completed a six-month stint as a DevOps Engineer II at Amazon, where I contributed to various projects and tasks using AWS resources and tools. I implemented Quilt pipeline with LPT to automate OS patching for 60 orphan hosts, ensuring continuous integration and delivery and mitigating EC2 risks. I also migrated CDK from V1 to V2 and KeyMaster from V1 to C2, tested application code changes, and resolved 70+ customer cut tickets. Additionally, I effectively mitigated SAS and Shepherd risks, and created cases for more than 20,000 records. I value collaboration, innovation, and customer satisfaction, and I can bring diverse perspectives and experiences to the DevOps team.

Experience

1 yr 11 mos

Total Experience

1 yr 11 mos

Average Tenure

Current Experience

Phenom

Site Reliability Engineer I

Oct 2023 – Sep 2025 · 1 yr 11 mos · Hyderabad, Telangana, India · On-site

Scheduled weekly automation reports using Kestra to identify underutilized Kubernetes nodes from Prometheus and managed services (Redis, RDS, Loki logs); integrated metrics into Lightdash dashboards with data stored in Snowflake for comprehensive Node usage monitoring.
Resolved over 80 monitoring tickets, addressing issues promptly and maintaining system health.
Conducted Root Cause Analysis (RCA) for a critical pre-production downtime issue using Terraform.
Facilitated the onboarding process of DevLake for our team, enhancing collaboration and productivity.
Standardized Helm charts and automation scripts for extracting MongoDB and Redis configurations,
streamlining environment setup and deployment.
Integrated automated REST API testing using the Robot Framework, improving QA coverage
Increased unit test coverage by 60% through the implementation of Cursor AI agents, ensuring higher code reliability.
Resolved over 6000 code quality issues, significantly improving code maintainibility and reducing tech debt
Retrieved and analyzed data from ArgoCD APIs to monitor release pipelines; automated hourly Slack reports
for enhanced visibility in release management.
Automated detection and cleanup of unused Persistent Volume Claims (PVCs) and stale Git branches, optimizing
resource usage.
Strengthened security posture by implementing the Argo Vault plugin for secure secrets management in CI/CD
pipelines.
Achieved a 5% cost reduction through infrastructure optimization and resource tuning, reduced alert fatigue by 3%
improved query performance by automating index creation through Liquibase

KubernetesAmazon EKSSite Reliability Engineering

Amazon

DevOps Engineer II

Jan 2023 – Jun 2023 · 5 mos · Hyderabad · On-site

Implemented Quilt pipeline with LPT to automate OS patching for 60 orphan hosts, ensuring CI/CD and mitigating EC2 risks
Resolved 70+ customer cut tickets, providing efficient and effective solutions.
Effectively mitigated SAS and shepherd risks in a timely manner, ensuring the continuous stability of the pipeline.
Implemented case creation for more than 20,000 records using AWS resources
resolved EC2 ,docker,SAS,Shepherd risks, Merge From live risks
Migrated CDK from V1 to V2 and KeyMaster from V1 to C2
Tested various application code changes, Got 8 Cr's approved

RubyAmazon Route 53DevOpsAWS