Sandeep Tummala
cumming,GA
Summary
Senior Site Reliability Engineer with deep GCP and AWS operations experience, focused on cloud reliability, incident response, and observability. Brings hands-on work in Cloud Monitoring, Cloud Logging, Kubernetes, Terraform, and CI/CD, plus AI-assisted support automation using Vertex AI to improve troubleshooting speed and reduce operational toil.
Overview
16
16
years of professional experience
Work History
Sr Site Reliability Engineer (SRE)
Geotab
10.2025 - 10.2026
- Established a reliability-accountability framework by defining error budgets and facilitating weekly reliability reviews with Development Engineering, Product, and Customer Support leaders to align ownership of system health and prioritize proactive defect resolution.
- Applied SRE practices including service health reviews, error-budget tracking, incident follow-up, and continuous improvement to strengthen service reliability.
- Implemented automation initiatives to enhance major incident management process, achieving 10% reduction in non-compliance.
- Enabled faster access to troubleshooting guidance for on-call engineers, helping reduce time spent searching for procedures and supporting improvements in Mean Time to Resolution (MTTR).
- Used Jira and knowledge-base workflows to improve incident documentation, support consistency, and knowledge sharing across operational teams.
- Partnered across Product, Engineering, and Customer Support to establish support frameworks and operational processes for new module implementations.
- Deployed and maintained cloud workloads on Google Cloud Platform (GCP), supporting environment configuration, release execution, and post-deployment validation.
- Supported GCP infrastructure provisioning and configuration using repeatable, infrastructure-as-code practices.
- Monitored GCP-hosted services using Cloud Monitoring and Cloud Logging, reviewing metrics, logs, dashboards, and alerts to identify availability and performance issues.
- Managed application deployments across development, test, and production environments, validating service health and coordinating rollback or remediation when issues occurred.
- Troubleshot deployment failures and production incidents by analyzing application logs, infrastructure metrics, configuration changes, and service dependencies.
- Supported containerized application deployment and operations with Docker, coordinating runtime configuration and troubleshooting with engineering teams.
- Helped build the foundations of Geotab's SRE AI platform and supporting automation to improve operational efficiency and reliability.
- Adopted an AI-first approach to operational efficiency, using notebook-based LLMs and Google Cloud Vertex AI to build automation chatbots that retrieve relevant SOPs from Jira and knowledge bases for on-call support.
- Supported an enterprise LLM gateway designed to route requests across Gemini, Claude, and GPT, with model selection, automatic failover, and cost-aware inference.
- Developed and supported event-driven automation to reduce operational toil, including daily standups, weekly handover reports, ticket triage, and infrastructure-state reconciliation.
- Built conversational internal-support capabilities using Google Cloud Vertex AI, including natural-language request routing, context persistence, and multi-turn interactions.
- Applied resilient automation patterns such as tiered model fallback, controlled deprecation with rollback windows, and cloud-storage-backed state.
- Developed operational tooling with BigQuery, Jira, and GitLab data to enable insights, inventory tracking, and compliance reporting for over 100,000 managed resources.
- Supported the lifecycle of AI-assisted SRE tools, including prompt engineering, model evaluation, production deployment, observability, and feedback-loop improvements.
Sr Site Reliability Engineer
GlobalLogic
Atlanta, GA
09.2024 - 09.2025
- Managed AWS cloud infrastructure, optimizing for cost efficiency and ensuring high availability with minimal downtime.
- Automated infrastructure provisioning and configuration management with Terraform to streamline deployment processes.
- Implemented CI/CD pipelines integrating Gitlab, Docker, and Helm for automated deployments.
- Deployed applications to Kubernetes clusters using Helm charts for efficient, reusable, and version-controlled deployments.
- Automated infrastructure scaling and performance tuning using Kubernetes Horizontal Pod Autoscaler (HPA) and AWS Auto Scaling Groups (ASG).
- Designed and deployed secure AWS VPC architectures with public/private subnets, NAT gateways, and route tables to isolate workloads.
- Integrated AWS CloudWatch, Splunk, and Prometheus for centralized logging and performance monitoring.
- Optimized Splunk queries, dashboards, and alerts to improve log analysis and monitoring efficiency.
- Managed IAM roles, policies, and security groups to ensure cloud environment security and compliance.
- Enforced network segmentation with NACLs and Security Groups to meet compliance and security requirements.
- Deployed Lambda functions to trigger CI/CD workflows and integrate with GitLab
- Built and orchestrated AWS Glue ETL jobs to transform and load data from S3.
- Implemented failover routing and health checks in Route 53 to improve application resilience.
- Improved incident response processes by setting up automated alerting and monitoring using AWS SNS and CloudWatch.
- Defined and monitored Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) to ensure optimal system performance and availability.
- Developed self-healing mechanisms with auto-recovery scripts and automated incident resolution workflows to enhance system resilience.
- Created post-incident reports and root cause analyses (RCA) to identify improvements for system reliability and mitigate recurring issues.
- Developed observability frameworks using Prometheus, Grafana, Splunk, and AWS CloudWatch for proactive monitoring and performance analysis.
- Integrated AppDynamics APM agents into Java and Node.js applications to monitor performance and identify memory leaks, GC pauses, and slow transactions.
- Configured health rules, baselines, and alerting policies in AppDynamics to proactively detect service degradation
- Automated infrastructure scaling and performance tuning using Kubernetes Horizontal Pod Autoscaler (HPA) and AWS Auto Scaling Groups (ASG).
Middleware Administrator, DataServ INC
IBM Global Services/VF corporation
05.2010 - 09.2013
- Implemented high availability and clustering solutions, including WebSphere ND (Network Deployment) and horizontal/vertical scaling.
- Configured JMS, JDBC, and other resources within WebSphere to enable seamless application integration.
- Integrated WebSphere with monitoring tools such as Splunk, AppDynamics, and IBM Tivoli to track performance metrics and system health
- Provided WebSphere support, performing root cause analysis (RCA) and resolving critical production issues.
- Developed and maintained automation scripts for deployments, streamlining processes and enhancing deployment speed.
- Worked closely with DevOps teams to integrate WebSphere into CI/CD pipelines using Jenkins and Ansible.
- Conducted disaster recovery planning and backup strategies for WebSphere environments, safeguarding business continuity.
- Set up security permissions in WebSphere environments to authenticate against LDAP servers to access WebSphere consoles and secure it using SSL.
- Installed, configured, and administered web servers such as Apache, IBM HTTP Server (IHS), and IIS, integrating them with WebSphere Application Server (WAS).
- Managed WebSphere Application Server nodes using Network Deployment Manager (NDM) for centralized administration.
- Configured and managed WebSphere clusters, including vertical and horizontal clustering, to enhance application availability and scalability.
- Deployed .WAR and .EAR applications through the WebSphere Admin Console and scripting for efficient deployment.
- Collected and analyzed Thread Dumps and Heap Dumps for diagnosing and resolving performance issues.
Education
Master of Business Administration -
Stevens Henagar College
Salt Lake City, Utah11-2009
Bachelor - Computer Science and Engineering
Jawaharlal Technical University
India05-2006
Skills
- Category: Cloud Platforms - Technologies: AWS, Google Cloud Platform (GCP)
- Category: Infrastructure as Code (IaC) - Technologies: Terraform, AWS CloudFormation
- Category: Containerization Tools - Technologies: Docker, Kubernetes
- Category: Continuous Integration/Delivery Tools - Technologies: Gitlab, Bitbucket
- Category: Cloud Management Tools - Technologies: AWS CLI, AWS SDKs
- Category: Monitoring tools
- Category: Defect Management Tools - Technologies: Jira Service Desk
- Category: Version Control Tools - Technologies: Git, GitHub, GitLab, Bitbucket, SVN
- Category: Configuration Management Tools - Technologies: Ansible
- Category: Secrets Management - Technologies: HashiCorp Vault, AWS Secrets Manager
- Category: Scripting & Automation - Technologies: Python, Shell, Groovy, YAML
- Web servers
- Category: Databases - Technologies: MySQL, PostgreSQL, Oracle, DB2, MongoDB, DynamoDB
- Linux, Windows
- ITSM tools
- ITSM tools
Personal Information
Title: Sr Site Reliability Engineer
Timeline
Sr Site Reliability Engineer (SRE)
Geotab
10.2025 - 10.2026
Sr Site Reliability Engineer
GlobalLogic
09.2024 - 09.2025
Middleware Administrator, DataServ INC
IBM Global Services/VF corporation
05.2010 - 09.2013
Master of Business Administration -
Stevens Henagar College
Bachelor - Computer Science and Engineering
Jawaharlal Technical University