Summary
Overview
Work History
Education
Skills
Currentworklocation
Personal Information
Certification
Languages
Work Preference
Work Availability
Timeline
Generic

Suresh Vadisileti

AUSTIN,TX

Summary

Results-oriented Cloud Platform Engineer/SRE with 10+ years of expertise in AWS, Azure, Kubernetes, Terraform, and CI/CD pipelines. Proven track record of optimizing multi-cloud environments, enhancing system reliability, and collaborating with clients like Apple, Abbott, Nissan, and Sabre Airlines

Professional engineer with strong focus on team collaboration and delivering results. Experienced in platform development, cloud infrastructure, and system optimization. Adept at adapting to changing needs, ensuring reliability, and driving technological improvements. Skilled in scripting, automation, and CI/CD pipelines. Recognized for problem-solving skills and effective communication.

Overview

10
10
years of professional experience
1
1
Certification

Work History

Cloud Platform – Lead Devops/SRE

TCS
09.2021 - Current
  • Company Overview: Apple Client
  • Led the release cycle preparations, including Docker image builds and deployments on AWS EKS and On-Prem Kubernetes clusters, ensuring seamless continuous delivery and infrastructure stability
  • Managed Cloud Data Platform hosting data engineering applications with Snowflake, MemSQL, Teradata, and Oracle on AWS, while optimizing resources and maintaining high availability
  • Authored Dockerfiles for custom database instances and Python packages to support data engineering workflows, and implemented Apache Airflow DAGs for automating data pipeline workflows across cloud and on-prem clusters
  • Configured and deployed EKS clusters for running Apache Airflow, database workloads, and other ad-hoc services, ensuring efficient resource utilization and smooth scaling
  • Managed AWS IAM roles for secure access to S3 buckets and other resources, and configured persistent volumes (PVC, PV) and node groups in EKS to support scalable, optimized operations
  • Enabled Kubernetes auto-scaling for both nodes and pods, enhancing resource utilization, reducing downtime by 25%, and improving overall platform stability
  • Performed EKS version upgrades, AMI refreshes, and automated infrastructure management using Terraform, ensuring repeatable and consistent deployments across environments
  • Optimized AWS costs by 30% through resource scaling, instance type migrations (e.g., Graviton EC2), and transitioning EBS volumes to GP3, while reducing operational expenses
  • Developed and maintained Grafana dashboards for real-time monitoring of cluster health (CPU, memory, network I/O), and integrated Prometheus for enhanced observability
  • Developed Python and Bash scripts for automation tasks such as log purging, file transfers between EKS, S3, and local environments, and service restart automation
  • Collaborated with Networking teams to ensure seamless connectivity between AWS and On-Prem Kubernetes clusters, troubleshooting network latency issues
  • Automated backup solutions using AWS S3 and EBS Snapshots to ensure data availability and disaster recovery for production environments
  • Managed version control in GitHub for PAAS code, handling branches, pull requests (PRs), commits, and repository management linked to automated deployments
  • Designed and implemented cost optimization strategies, including CloudWatch logs tuning and efficient resource allocation, contributing to significant cost savings
  • Apple Client
  • Enhanced platform performance by optimizing infrastructure and implementing automation tools.
  • Addressed performance bottlenecks by conducting thorough profiling and analysis of system components.

Cloud Engineer - SRE

Mphasis
02.2017 - 08.2021
  • Company Overview: Nissan Motors & Sabre Airlines Client
  • Led the migration of critical workloads to AWS and Azure, focusing on scalability, performance optimization, and cost-efficiency, ensuring seamless cloud infrastructure management
  • Used Terraform to automate provisioning of cloud resources (VMs, storage, networking), improving repeatability, reducing errors, and supporting SRE best practices for infrastructure automation
  • Developed cloud-native solutions using AWS services (EC2, S3, Lambda, VPC, RDS) to enable scalable data storage, processing, and integration
  • Implemented GitOps practices for managing cloud infrastructure as code (IaC), automating deployments through GitHub Actions, Terraform, Jenkins, AWS CodePipeline, and Azure DevOps
  • Managed 2000+ Linux (RHEL) servers for critical data integration and analytics platforms, ensuring high availability and reliability by addressing deployment failures and optimizing system performance
  • Developed and maintained Ansible playbooks to automate tasks like filesystem cleanup, service monitoring, patching, and application deployments, reducing manual effort and improving system consistency
  • Collaborated with Data Engineering teams to provision and scale Linux servers, storage, and Python packages, ensuring infrastructure met performance and scalability requirements for critical applications
  • Resolved deployment issues and platform-related tickets in ServiceNow, minimizing service disruptions and maintaining uptime
  • Implemented Splunk-based mail reporting and configured infrastructure alerts, ensuring rapid issue detection and reducing downtime
  • Worked with Compliance teams to address InfoSec vulnerabilities, applying security best practices to maintain a secure and resilient infrastructure
  • Nissan Motors & Sabre Airlines Client

DevOps Engineer

E-Team Info Services
06.2015 - 01.2017
  • Company Overview: Abbott Laboratories Client
  • Designed and deployed an Internal Kubernetes Platform to provide Container-as-a-Service for managing and deploying containers, applications, and clusters
  • Configured Jenkins jobs to build container-based applications in clusters using a shared library approach
  • Developed CI/CD pipelines for creating Docker images and deploying them on the Internal Kubernetes Platform
  • Secured Jenkins CI/CD pipelines by storing application credentials in HashiCorp Vault
  • Implemented security scans on Docker images to check for vulnerabilities and ensure compliance
  • Created Docker images using Dockerfiles to support the containerization of applications
  • Troubleshot and resolved issues related to application deployment and operations, ensuring minimal downtime
  • Collaborated with cross-functional, geographically distributed teams to provide 24x7 deployment support across multiple environments
  • Designed and deployed applications utilizing AWS stack (EC2, S3, RDS, IAM), focusing on high availability, fault tolerance, and auto-scaling
  • Abbott Laboratories Client
  • Improved code deployment efficiency by automating processes with CI/CD pipelines.
  • Automated manual tasks through scripting languages such as Python or Shell, boosting team productivity levels.
  • Maintained version control systems like Git or SVN for seamless collaboration among developers and engineers during project lifecycles.
  • Reduced system downtime for critical applications by implementing robust monitoring and alerting tools.
  • Automated routine tasks, freeing up team members to focus on more complex issues and innovation.
  • Reduced operational costs by optimizing cloud resource utilization and implementing cost-effective solutions.

Education

MBA - Finance & Marketing

Andhra University
06-2014

BSC - Computers Science

Andhra University
01.2012

Skills

  • AWS
  • Azure
  • Docker
  • Kubernetes
  • Terraform
  • Ansible
  • Python
  • Bash
  • Shell
  • Snowflake
  • MemSQL
  • Teradata
  • Oracle
  • Grafana
  • Prometheus
  • Splunk
  • Jenkins
  • GitHub Actions
  • AWS CodePipeline
  • Azure DevOps
  • GitHub
  • Apache Airflow
  • Keystone
  • Autosys
  • ServiceNow

Currentworklocation

Austin, TX

Personal Information

Visa: H1B

Certification

AWS Solutions Architect

CKAD

Languages

English
Professional Working

Work Preference

Work Type

Full TimeContract Work

Location Preference

RemoteOn-SiteHybrid

Important To Me

Company Culture

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
swipe to browse

Timeline

Cloud Platform – Lead Devops/SRE

TCS
09.2021 - Current

Cloud Engineer - SRE

Mphasis
02.2017 - 08.2021

DevOps Engineer

E-Team Info Services
06.2015 - 01.2017

BSC - Computers Science

Andhra University

MBA - Finance & Marketing

Andhra University

Similar Profiles

CREATE PROFILE
Suresh Vadisileti