MV Manikanta VutukuriAWS DevOps Engineer
01 / About02 / Stack03 / Work04 / Experience05 / Credentials06 / Contact
PORTFOLIO / 2026HYDERABAD, INDIA

AWS CLOUD • DEVOPS • AUTOMATION

Senior Associate Consultant / DevOps Engineer

Infrastructure
with intent.

AWS DevOps Engineer with 5 years of experience designing, automating and managing cloud-native infrastructure with AWS, Terraform, CI/CD, Kubernetes and Docker.

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System Atlas showing a DevOps end-to-end workflow from planning and code through CI/CD, AWS infrastructure, deployment, monitoring, observability, orchestration, configuration management, backup and disaster recovery.
5+Years experience
40%Platform scalability
30%Faster releases
10+ TBS3 data cleanup automated
AWS · TERRAFORM · TERRAFORM CLOUD · DOCKER · ECS · LAMBDA · S3 · SQS · DYNAMODB · EVENTBRIDGE · ECR · CODEPIPELINE · GIT · PYTHON · CI/CD · KUBERNETES · ANSIBLE · ARGO CD
01

ABOUT / CONTEXT

Cloud engineering with an automation-first mindset.

I design and operate AWS environments with an emphasis on repeatability, security, observability and cost efficiency. My work spans infrastructure as code, application modernization, CI/CD, serverless platforms, containers and production troubleshooting.

Across enterprise environments, I have worked on cloud migrations, runtime upgrades, platform standardization, storage optimization and event-driven workloads — turning operational problems into automated, maintainable solutions.

02

STACK / TOOLBOX

Tools, grouped by the job they do.

A

Cloud

AWS · Terraform Cloud

VPC · IAM · EC2 · ECS · EKS · Lambda · API Gateway · ECR · S3 · KMS · CloudWatch · SNS · SQS · EventBridge · Step Functions
B

DevOps & CI/CD

Git · GitHub · GitHub Actions · Jenkins · AWS CodePipeline · ArgoCD

Deployment automation · release consistency · reusable pipelines
C

Containers & IaC

Docker · Kubernetes · Terraform · Ansible · Helm

Reusable modules · ECS workloads · EKS · container builds
D

Observability

CloudWatch · Prometheus · Grafana · EFK Stack

Dashboards · alarms · proactive monitoring · incident investigation
E

Automation

Python · Shell Scripting

Lambda automation · deployment workflows · operational tooling
F

Data

DynamoDB · MySQL · RDS

Cloud-native application data services
03

WORK / SELECTED CASES

Systems, not screenshots.

SYSTEM VIEW
S3→SQS→LAMBDA→DDB
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AWS · RUNTIME UPGRADES · AUTOMATION

Python Runtime Modernization

Upgraded 100+ AWS Lambda functions and ECS workloads from Python 3.10 to 3.13 ahead of runtime end-of-life. Built 20+ reusable Lambda Layers and updated Dockerfiles, buildspecs and CI/CD pipelines.

Production-ready runtime upgrade across environments
SYSTEM VIEW
EC2→S3→LIFECYCLE→10+ TB
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AWS · COST OPTIMIZATION · S3

10+ TB Storage Cleanup Automation

Implemented S3 Lifecycle Policies to automatically remove obsolete data, replacing EC2-based cleanup scripts and reducing List API request charges across millions of objects.

Lower storage cost & operational overhead
SYSTEM VIEW
GIT→ECR→ECS→EVENTBRIDGE
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ECS · ECR · EVENTBRIDGE

Event-Driven Batch Platform

Built a daily batch processing solution using ECS, ECR, EventBridge, Docker and CodePipeline. Automated image builds, ECR delivery and scheduled ECS task execution.

Repeatable container build & deployment flow
SYSTEM VIEW
GIT→CI/CD→LAMBDA→DEPLOY
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DEVOPS · SERVERLESS · CI/CD

Automated Lambda Deployments

Designed a CI/CD workflow integrated with AWS Lambda to automatically deploy application code whenever changes were committed, reducing manual deployment effort.

More consistent, automated releases
SYSTEM VIEW
S3→GLACIER→SAGEMAKER→RECOVER
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RCA · AWS · RELIABILITY

SageMaker Production Outage RCA

Identified an S3 Lifecycle configuration that moved SageMaker model artifacts to Glacier, preventing endpoints from accessing models. Restored artifacts and corrected the lifecycle policy.

Production restored + recurrence prevented
SYSTEM VIEW
TERRAFORM→KMS→S3→SHARED
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TERRAFORM · PLATFORM

Infrastructure Standardization

Standardized Terraform modules, upgraded AWS Provider support to 5+, centralized KMS keys and S3 artifact buckets, and cleaned redundant repository configuration.

Improved maintainability, security & cost efficiency
SYSTEM VIEW
S3→SQS→LAMBDA→QC→DDB
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AWS · EVENT-DRIVEN · SERVERLESS

Event-Driven Video QC Pipeline

Designed a serverless workflow where S3 events flow through SQS to Lambda for automated video QC, validating folder hierarchy and file integrity before storing validated video paths in DynamoDB for downstream processing. Implemented CI/CD automation to automatically deploy Lambda code from Git whenever developers commit changes to the repository.

Automated video QC, downstream processing & Lambda deployments
04

EXPERIENCE / FIELD HISTORY

Enterprise cloud experience.

JUL 2025 — PRESENT
INFOSYS LTD

DevOps Engineer (Senior Associate Consultant)

  • Orchestrated AWS infrastructure with Terraform and Terraform Cloud, contributing to 40% platform scalability improvement.
  • Delivered Lambda/ECS runtime modernization, reusable layers and CI/CD enhancements.
  • Built event-driven ECS batch processing with ECR, EventBridge, Docker and CodePipeline.
  • Engineered an event-driven serverless workflow using Amazon S3, SQS, Lambda and DynamoDB. while CI/CD pipelines automatically deploy Lambda code from version control system.
  • Implemented S3 lifecycle automation over 10 TB of obsolete data and reduced operational overhead.
OCT 2021 — JUL 2025
ACCENTURE

Cloud Engineer (Custom Software Engineer Analyst)

  • Designed and supported AWS cloud-native solutions for financial services applications.
  • Provisioned infrastructure with Terraform and maintained serverless architectures using Lambda, EKS, DynamoDB, S3 and SNS.
  • Performed production RCA, security remediation, deployments and incident resolution.
  • Configured CloudWatch dashboards and alarms, reducing incident detection time by 30%.
05

CREDENTIALS / EDUCATION

Proof, not wallpaper.

A / AWS

AWS Certified Solutions Architect – Associate

Professional certification

B / AWS

AWS Certified Developer – Associate

Professional certification

C / AWS

Generative AI on AWS Essentials (Business)

Professional learning

D / B.TECH

Chebrolu Engineering College, Guntur

ECE · 2017–2021 · CGPA 8.07 / 10

LET'S
BUILD.

06 / CONTACT

Open to conversations around AWS DevOps, cloud engineering, automation and platform reliability.

Email ↗LinkedIn ↗GitHub ↗
Hyderabad, India · +91 9666068929