Hi, I'm Vishnuvardhan Nayakam

DevOps Engineer | Cloud Infrastructure | Automation | Python Development | AI Enthusiast

Phone: 8688272707  |  Email: vishnu123sai@gmail.com
LinkedIn: linkedin.com/in/nayakamvishnuvardhan

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About Me

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Professional Summary

I am a seasoned DevOps Engineer with over ~8 years of experience specializing in cloud infrastructure, automation, and Python development. I hold multiple professional certifications including Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), AWS Certified Cloud Practitioner, and Google Cloud Professional certifications. My expertise spans AWS and GCP platforms, infrastructure provisioning using Terraform and AWS CDK, and CI/CD pipeline implementation. I excel in container orchestration, system design, and managing high-availability production environments, consistently delivering scalable and reliable solutions in Agile settings.

Skills
  • Cloud & DevOps: AWS, GCP, Kubernetes, Docker, Terraform, Jenkins, Ansible, Puppet
  • Programming: Python, Java, JavaScript, HTML, CSS, Bootstrap
  • Frameworks: Django, Flask, Serverless, AWS Lambda, Fargate
  • Databases: SQL, NoSQL, DynamoDB, RDS, S3
  • Monitoring: CloudWatch, Grafana, Splunk, Argus
  • Tools: Git, GitHub, JIRA, Slack, Artifactory
  • Platforms: Linux/Unix, Shell Scripting, Apache
  • Methodologies: Agile, Version Control
  • AI: LLM, Agent Building, NLP

Professional Experience

Senior Member of Technical Staff (DevOps)

Salesforce

09/2022 - Present

  • Oversee the management and operation of AWS EKS Kubernetes clusters and on-premises infrastructure while performing critical maintenance tasks including upgrades, patching, and resizing
  • Develop Python-based internal tools and Slack automations to streamline manual processes and improve operational efficiency
  • Automate operational runbooks and workflows using the Stackstorm automation tool
  • Deploy applications across both AWS and on-premises environments while maintaining strict adherence to best practices and change compliance requirements
  • Enhance deployment workflows and reduce operational burden by adopting advanced Kubernetes features
  • Proactively troubleshoot and resolve complex production infrastructure and application issues, addressing both infrastructure and application-related challenges
  • Optimize infrastructure monitoring and alerting systems to ensure high availability of both infrastructure and applications

Programmer Analyst

Amazon

09/2020 - 09/2022

  • Designed and developed serverless services using AWS Lambda and Fargate to enhance scalability and performance
  • Provisioned and managed AWS resources with AWS Cloud Development Kit (CDK) for consistent and repeatable infrastructure deployment
  • Implemented AWS solutions for cross-region and cross-VPC resource accessibility, ensuring seamless integration and communication
  • Addressed security and networking challenges for AWS resources to ensure compliance and optimal configuration
  • Collaborated with operational and technical teams to troubleshoot and resolve bugs, ensuring smooth system operations
  • Automated routine tasks and developed dashboards for the Trans Execution operations team to improve tracking and visibility of packages and vehicles
  • Worked with AWS services including Lambda, DynamoDB, RDS, EC2, S3, CloudWatch, CloudDeploy, and CloudPipeline to deliver integrated solutions
  • Managed data pipelines and pipeline jobs to ensure efficient and reliable data processing across systems
  • Contributed to system design discussions, providing insights to improve high availability, disaster recovery, and overall system performance
  • Enhanced existing features of data labeling and ingestion tools, improving user experience and streamlining application processes
  • Conducted root cause analysis to troubleshoot and resolve application issues, ensuring system reliability and minimal downtime
  • Collaborated with multiple teams to identify opportunities for process automation, improving operational efficiency across Amazon systems

DevOps Engineer

GSPANN Technologies

05/2018 - 09/2020

  • Designed and developed Python scripts to automate and streamline operational workflows
  • Led the migration of the IGL application from on-premises VMs to cloud-based VMs, implementing a Blue-Green deployment strategy for seamless transitions
  • Automated daily support and operational tasks using Python to improve team efficiency
  • Conducted Proof of Concepts (POCs) for emerging technologies to evaluate their applicability and potential integration
  • Built and maintained monitoring dashboards for effective application and system monitoring, along with alerting configurations
  • Worked with Tomcat and Apache web servers to manage and optimize server-side applications
  • Gained hands-on experience with version control tools like Git to manage and track code changes
  • Configured and maintained Jenkins jobs for nightly builds, deployments, and continuous integration workflows
  • Troubleshot and resolved server-side issues impacting application functionality and performance
  • Created and managed incident tickets using JIRA and VersionOne, ensuring timely resolution of issues based on severity and priority
  • Set up and configured Google Cloud services, including Compute Engine, Storage, Load Balancer, VPC, Cloud VPN, and Networking to support cloud-based application infrastructure
  • Created and configured development environments, ensuring seamless deployment of code from Artifactory for QA and Performance teams

Education

Bachelor of Technology in Electronics and Communication Engineering
Jawaharlal Nehru Technological University

08/2014 - 05/2018, Hyderabad

Featured Projects

Slack Agent

Intelligent Slack assistant that provides real-time information related to infrastructure, applications, incidents, metrics, and more, directly within Slack conversations.

Python LLM MCP RAG
Real-time Multilingual Chat Application

A real-time chat application that detects the language of incoming messages and automatically translates them based on the recipient’s preferred language selection.

Python AWS Lambda AWS Translate WebSockets
Real-time Twitter COVID Tweet Streaming

A real-time data pipeline that streams COVID-related tweets from Twitter to Elasticsearch using Apache Kafka for efficient data ingestion and distribution.

Python Kafka Elasticsearch
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Data Analytics Dashboard

Real-time analytics dashboard with interactive charts and data visualization of infrastructure and application metrics for easy monitoring and troubleshooting.

Python SQL JavaScript Chart.js

Certifications & Achievements

Certified Kubernetes Application Developer (CKAD)

Cloud Native Computing Foundation

2026
AWS Certified Cloud Practitioner

Amazon Web Services

2025
Certified Kubernetes Administrator (CKA)

Cloud Native Computing Foundation

2024
Professional Cloud Architect

Google Cloud Platform

2021
Professional Data Engineer

Google Cloud Platform

2020
Associate Cloud Engineer

Google Cloud Platform

2020

Get In Touch

I'm always interested in new opportunities and collaborations.