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Naresh Bantupalli

DevOps Engineer @ Kyndryl India | Computer Science

Bengaluru

5+ years of work experience

Mar 20215 yrs 8 mosPresent

Managed reliability, availability, and performance of production workloads across Azure Kubernetes Service (AKS), App Services, Azure SQL, and Storage Accounts. Defined and tracked SLIs, SLOs, and SLAs, improving service uptime and reducing customer-impacting incidents. Built proactive monitoring and alerting pipelines using Azure Monitor, Log Analytics, Application Insights, and custom KQL queries, reducing Mean Time To Resolution (MTTR). Automated infrastructure provisioning with Terraform, ARM templates, and Bicep, eliminating manual configuration drift and ensuring environment consistency. Designed and maintained CI/CD pipelines in Azure DevOps with integrated security and quality gates. Enforced Azure RBAC, Managed Identities, and least-privilege access across subscriptions; secured secrets and certificates via Azure Key Vault with automated rotation. Architected secure network topology using VNets, NSGs, Private Endpoints, and Azure Firewall. Implemented policy-as-code with Azure Policy to enforce governance and compliance, remediating findings against CIS benchmarks and Zero Trust standards. Embedded SAST, DAST, and container image scanning into CI/CD pipelines; hardened AKS clusters with network policies, RBAC, and Pod Security standards. Led incident response and on-call rotation, performed root cause analysis, and authored runbooks and standard operating procedures (SOPs).
Mar 20215 y 7 moPresent

Bangalore

Designed and deployed AI agents using the Claude Cowork desktop application to automate incident management workflows and reduce manual operational effort. Built a Jira monitoring agent that automatically reads and summarizes incoming incident tickets and posts real-time updates to Microsoft Teams. Configured automated escalation logic to detect high-priority incidents and instantly alert the on-call team and manager, reducing response time. Developed a production issue triage agent that aggregates log data across systems, summarizes findings, and identifies likely root causes to accelerate troubleshooting. Orchestrated end-to-end automation pipelines using n8n integrated with ChatGPT, GitHub Copilot, Gemini, and Claude Cowork. Applied the CO-STAR prompt engineering framework (Context, Objective, Style, Tone, Audience, Response) to improve the reliability and reusability of AI agent outputs.
Mar 20215 yrs 8 mosPresent

Ensured reliability, scalability, and performance of production workloads as an AWS Site Reliability Engineer. Designed highly available architectures using EC2, EKS/ECS, ALB/NLB, Auto Scaling, RDS, DynamoDB, and S3 across Multi-AZ deployments. Automated EKS/AKS worker node scaling based on custom metrics to support containerized microservices and model-serving workloads. Conducted AWS and Azure Well-Architected Framework reviews focused on cost optimization and performance efficiency. Implemented monitoring and alerting using CloudWatch, CloudTrail, Prometheus, and Grafana; built centralized logging pipelines to improve observability and reduce MTTR. Automated infrastructure provisioning using Terraform and AWS CloudFormation for consistent multi-environment deployments. Built CI/CD pipelines using GitHub Actions, AWS CodePipeline, and Jenkins with automated rollback support. Enforced cloud security using AWS Security Hub, GuardDuty, and Inspector; designed IAM roles and least-privilege access across AWS Organizations. Secured credentials using AWS Secrets Manager and Parameter Store with automated rotation. Designed secure network architecture using VPCs, Security Groups, NACLs, Private Subnets, and NAT Gateways. Hardened EKS clusters using RBAC, IAM Roles for Service Accounts (IRSA), network policies, and image scanning; embedded SAST/DAST and dependency scanning into CI/CD. Led incident response and disaster recovery testing (backup, restore, failover); authored DR/BCP documentation. Mentored junior engineers on AWS reliability, security, and SRE best practices. Optimized cloud costs through right-sizing, Reserved Instances, and Savings Plans.
Kyndryl India
- NowPresent

Naresh’s AI Stack

antigravity
antigravity
claude code
claude code
lovable
lovable
n8n
n8n
perplexity
perplexity
claudecode
claudecode

Education

Jawaharlal Nehru Technological University Kakinada (JNTUK)

computer science and engineering, Computer Science

Jawaharlal Nehru Technological University Kakinada (JNTUK)

20154 yrs2019

Bachelor of Technology, Computer Engineering

Baba Institute Of Technology & Sciences - India

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Headline

DevOps Engineer @ Kyndryl India | Computer Science

About

As a DevOps Engineer at Kyndryl India, I focus on ensuring the reliability, scalability, and performance of production workloads on AWS and Azure platforms. My work involves managing cloud infrastructure using tools like Terraform, Azure DevOps Services, and Kubernetes to establish stability and operational efficiency. I also contribute to workflow automation and incident response by designing AI agents with tools such as Claude and n8n to enhance engineering productivity. I hold a Bachelor of Technology in Computer Engineering from Baba Institute of Technology & Sciences, complemented by studies in Computer Science and Engineering at JNTUK. My core competencies include Azure DevOps services, automation, and cost engineering, which I apply to optimize cloud infrastructures and streamline operations. I am motivated to support teams in building intelligent, secure, and robust cloud environments.

Location

Bengaluru

AI stack

antigravity

claude code

lovable

n8n

perplexity

claudecode

Work experience

DevOps Engineer at Kyndryl Solutions Private Limited, Mar 2021 - Present · 5 yrs 8 mos, Managed reliability, availability, and performance of production workloads across Azure Kubernetes Service (AKS), App Services, Azure SQL, and Storage Accounts. Defined and tracked SLIs, SLOs, and SLAs, improving service uptime and reducing customer-impacting incidents. Built proactive monitoring and alerting pipelines using Azure Monitor, Log Analytics, Application Insights, and custom KQL queries, reducing Mean Time To Resolution (MTTR). Automated infrastructure provisioning with Terraform, ARM templates, and Bicep, eliminating manual configuration drift and ensuring environment consistency. Designed and maintained CI/CD pipelines in Azure DevOps with integrated security and quality gates. Enforced Azure RBAC, Managed Identities, and least-privilege access across subscriptions; secured secrets and certificates via Azure Key Vault with automated rotation. Architected secure network topology using VNets, NSGs, Private Endpoints, and Azure Firewall. Implemented policy-as-code with Azure Policy to enforce governance and compliance, remediating findings against CIS benchmarks and Zero Trust standards. Embedded SAST, DAST, and container image scanning into CI/CD pipelines; hardened AKS clusters with network policies, RBAC, and Pod Security standards. Led incident response and on-call rotation, performed root cause analysis, and authored runbooks and standard operating procedures (SOPs).

Internal Initiative — Agentic AI Workflow Automation at Kyndryl Solutions Private Limited, Mar 2021 - Present · 5 y 7 mo, Bangalore, Designed and deployed AI agents using the Claude Cowork desktop application to automate incident management workflows and reduce manual operational effort. Built a Jira monitoring agent that automatically reads and summarizes incoming incident tickets and posts real-time updates to Microsoft Teams. Configured automated escalation logic to detect high-priority incidents and instantly alert the on-call team and manager, reducing response time. Developed a production issue triage agent that aggregates log data across systems, summarizes findings, and identifies likely root causes to accelerate troubleshooting. Orchestrated end-to-end automation pipelines using n8n integrated with ChatGPT, GitHub Copilot, Gemini, and Claude Cowork. Applied the CO-STAR prompt engineering framework (Context, Objective, Style, Tone, Audience, Response) to improve the reliability and reusability of AI agent outputs.

DevOps Engineer at Kyndryl Solutions Private Limited, Mar 2021 - Present · 5 yrs 8 mos, Ensured reliability, scalability, and performance of production workloads as an AWS Site Reliability Engineer. Designed highly available architectures using EC2, EKS/ECS, ALB/NLB, Auto Scaling, RDS, DynamoDB, and S3 across Multi-AZ deployments. Automated EKS/AKS worker node scaling based on custom metrics to support containerized microservices and model-serving workloads. Conducted AWS and Azure Well-Architected Framework reviews focused on cost optimization and performance efficiency. Implemented monitoring and alerting using CloudWatch, CloudTrail, Prometheus, and Grafana; built centralized logging pipelines to improve observability and reduce MTTR. Automated infrastructure provisioning using Terraform and AWS CloudFormation for consistent multi-environment deployments. Built CI/CD pipelines using GitHub Actions, AWS CodePipeline, and Jenkins with automated rollback support. Enforced cloud security using AWS Security Hub, GuardDuty, and Inspector; designed IAM roles and least-privilege access across AWS Organizations. Secured credentials using AWS Secrets Manager and Parameter Store with automated rotation. Designed secure network architecture using VPCs, Security Groups, NACLs, Private Subnets, and NAT Gateways. Hardened EKS clusters using RBAC, IAM Roles for Service Accounts (IRSA), network policies, and image scanning; embedded SAST/DAST and dependency scanning into CI/CD. Led incident response and disaster recovery testing (backup, restore, failover); authored DR/BCP documentation. Mentored junior engineers on AWS reliability, security, and SRE best practices. Optimized cloud costs through right-sizing, Reserved Instances, and Savings Plans.

DevOps Engineer at Kyndryl India

Education

computer science and engineering, Computer Science, Jawaharlal Nehru Technological University Kakinada (JNTUK)

Bachelor of Technology, Computer Engineering, Baba Institute Of Technology & Sciences - India

Public links

career-page-glow.lovable.app: https://career-page-glow.lovable.app/