Resume
Work Experience
Senior SRE · 4.5+ years · AWS · Azure · Kubernetes
Experience
Senior Site Reliability Engineer
Lead 1 — Cloud Infrastructure Services
UST Global, Inc.
- Leading AWS migration of on-premises workloads for a healthcare client in a HIPAA-compliant environment, including serverless-ready architectures using AWS Lambda and managed services.
- Designing landing zones, VPC architecture, and multi-account environments using AWS CDK and CloudFormation.
- Defining migration strategies (rehost, replatform) and modernization roadmap for legacy systems targeting cloud-native and serverless deployments.
- Establishing monitoring, alerting, and operational procedures to ensure production readiness post-migration.
- Collaborating with application, security, and infrastructure teams to deliver scalable, secure cloud systems.
Site Reliability Engineer
Authoring and Publishing Team
Pearson Education, Inc.
- Owned reliability for SaaS platforms supporting millions of users across AWS and Azure, reducing operational toil by 60% through automation and tooling.
- Managed 80+ Kubernetes clusters (EKS/AKS) and 400+ Linux/Windows VMs across multi-region environments.
- Built observability platforms using Prometheus, Grafana, Splunk, and New Relic — improving visibility into latency, resource saturation, and service health, reducing MTTR by 40%.
- Supported monitoring and alerting for latency-sensitive and resource-intensive services, with growing focus on AI infrastructure and GPU-backed workloads.
- Defined SLIs/SLOs, implemented error budgets, and drove SLO tracking and reporting to improve release quality and reliability.
- Led incident response, debugged distributed system failures (Linux, networking, DNS, TLS, resource contention), and conducted blameless post-mortems.
- Built and maintained runbooks for operational procedures, integrating into incident management workflows.
- Automated provisioning and deployments using Terraform, Python, and CI/CD pipelines with deployment safety checks and rollback procedures.
- Collaborated with engineering teams to troubleshoot complex issues across application, infrastructure, and networking layers.
Platform Engineer
Cloud Infrastructure Team
Pearson Education, Inc.
- Designed secure architectures using private endpoints across Azure SQL, Storage, and Redis.
- Automated VM lifecycle management and image-based deployments across Linux and Windows systems.
- Improved identity and access management using SSO (OAuth) and automated key rotation.
DevOps Intern
Cloud Infrastructure Team
Pearson Education, Inc.
- Migrated 400+ APIs across 9 environments using AKS and Azure DevOps pipelines.
Security Cloud Engineer
Cloud Architecture & Infrastructure — AWS Engineering
Amazon Web Services
- Delivered secure AWS architectures for 350+ enterprise customers across EC2, S3, Lambda, and IAM.
- Diagnosed and resolved production issues including IAM misconfigurations, networking failures, and service authentication issues.
- Built automation tools using Python and CloudFormation, reducing manual effort by 70%+.
- Served as escalation engineer for critical incidents, ensuring SLA compliance and stakeholder communication.
- Promoted from Intern → Associate → Engineer within 2 years.
Education
M.S. Computer Science
Indiana University Bloomington
2021 – 2023
B.E. Computer Science
Visvesvaraya Technological University, Belagavi
2015 – 2019
Certifications
NVIDIA Certified Associate – AI Infrastructure and Operations
KCNA – Kubernetes and Cloud Native Associate
AWS Certified Solutions Architect – Professional
AWS Certified Solutions Architect – Associate
AWS Certified Security – Specialty
AWS Certified Developer – Associate
AWS Certified SysOps Administrator – Associate
HashiCorp Certified Terraform Associate
Microsoft Azure Administrator (AZ-104)
Google Cloud Platform – Associate Cloud Engineer
Technical Skills
Cloud PlatformsAWS, Azure, GCP, OCI
Containers & OrchestrationDocker, Kubernetes, EKS, AKS, Helm
Infrastructure & AutomationTerraform, Terragrunt, Ansible AWX, Azure DevOps, GitHub Actions, CloudFormation
AI & GPU InfrastructureAWS SageMaker/Bedrock, GPU-based workloads, inference systems, latency-sensitive services
Observability & LoggingGrafana, Prometheus, Splunk, Azure Monitor, New Relic, Zabbix, Qualys
Networking & SystemsTCP/IP, HTTP/S, TLS/SSL, CDN, DNS, Linux, Windows, API Management
ProgrammingPython, GoLang, Bash, SQL, HCL, PowerShell
DatastoresRedis, MongoDB, CosmosDB, MySQL, PostgreSQL