You will get AutoPilotOps AI — LLM Automation & Workflow Orchestration Platform
Top Rated
Top Rated
Project details
AutoPilot AI Cloud is an enterprise AWS automation platform project focused on building scalable, intelligent cloud infrastructure with AI-driven workflows, secure integrations, and operational observability.
The project included cloud infrastructure design, microservices deployment, AI service integration, API connectivity, secure VPC architecture, automated workflows, centralized monitoring, data processing, CI/CD automation, backup strategy, and performance optimization.
The platform architecture was designed for enterprise scalability, intelligent automation, secure operations, and continuous delivery across modern cloud environments.
AWS Automation, Cloud Architecture, AI Integration, Microservices, Kubernetes, Docker, CI/CD, API Integration, VPC Architecture, Cloud Security, Monitoring, Observability, Data Processing, Deployment Automation, Platform Engineering
#AWS #AI #CloudArchitecture #Automation #Kubernetes #Docker #CI_CD #Microservices #APIGateway #CloudSecurity #Monitoring #Observability #PlatformEngineering #DevOps #ScalableInfrastructure_
The project included cloud infrastructure design, microservices deployment, AI service integration, API connectivity, secure VPC architecture, automated workflows, centralized monitoring, data processing, CI/CD automation, backup strategy, and performance optimization.
The platform architecture was designed for enterprise scalability, intelligent automation, secure operations, and continuous delivery across modern cloud environments.
AWS Automation, Cloud Architecture, AI Integration, Microservices, Kubernetes, Docker, CI/CD, API Integration, VPC Architecture, Cloud Security, Monitoring, Observability, Data Processing, Deployment Automation, Platform Engineering
#AWS #AI #CloudArchitecture #Automation #Kubernetes #Docker #CI_CD #Microservices #APIGateway #CloudSecurity #Monitoring #Observability #PlatformEngineering #DevOps #ScalableInfrastructure_
Programming Languages
PHP, JavaScript, PythonCoding Expertise
Performance Optimization, Security, DesignWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 2 | 2 | 3 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $200
28 reviews
(26)
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DC
David C.
Jul 28, 2026
Production Hardening & HIPAA Technical Controls
A true pro. Excellent work, super easy to communicate with. Very responsive.
HT
Harold T.
Jul 2, 2026
Platform Engineer + AWS expert
I enjoyed working with Ehteshamuddin. I wouldn't hesitate to work with him again.
DC
David C.
Jun 30, 2026
AWS DevOps Engineer for HIPAA-Oriented Clinical Portal
Excellent, professional, timely, 10/10, highly recommend. Thank you!
LS
Larry S.
May 4, 2026
Docker Service Setup and Container Migration
Ehteshamuddin was excellent to work with! Very professional and completed the job succesfully.
TF
Tiffany F.
Apr 10, 2026
Survey Platform Developer (Decipher/Forsta) – Modular Architecture
Ehteshamuddin was a pleasure to work with. He communicated clearly throughout the project, stayed organized, and consistently delivered high-quality work on time. He was proactive in solving issues and paid close attention to detail, which made the collaboration smooth and efficient. I’d be happy to work with him again and would recommend him to others.
About Ehteshamuddin
DevOps | Full Stack Engineer | AWS, Kubernetes, React, Node, HIPAA
100%
Job Success
Phoenix, United States - 11:25 pm local time
I am a DevOps and cloud infrastructure engineer. I design, automate, and run production environments on AWS, GCP, and Azure, and I take teams from manual deployments and "it works on my machine" to a repeatable, monitored, cost controlled platform they can ship to every day.
Most of my clients come back for a second and third engagement, and many of the long running ones started as a single small task. I would rather tell you a scope is unrealistic before we start than discover it together halfway through.
𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼
▸ Cloud infrastructure: AWS (EKS, ECS, Fargate, Lambda, VPC, IAM, Aurora, RDS, S3, CloudFront), GCP (GKE, Cloud Armor, managed databases), Azure (Azure DevOps, AKS), Oracle Cloud
▸ Kubernetes: cluster design and management, Helm charts, HPA autoscaling, NGINX and Traefik ingress, Rancher, multi environment setups on GCP and AWS
▸ Infrastructure as Code: Terraform, Ansible, AWS CloudFormation, Puppet, Chef
▸ CI/CD: GitHub Actions, GitLab CI, Jenkins, CircleCI, Azure Pipelines, AWS CodePipeline, CodeBuild, CodeDeploy, TeamCity
▸ Monitoring and observability: Prometheus, Grafana, ELK, CloudWatch, New Relic, Nagios, Telegraf, InfluxDB, alerting and on call runbooks
▸ Security and compliance: HIPAA and SOC 2 aligned infrastructure, IAM hardening, VPN, network segmentation
▸ Migrations: on prem and VMware workloads to cloud, monoliths to containers, performance tuning and cost reduction after the move
▸ Linux and scripting: RHEL and Ubuntu administration, Bash and Python automation
𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝘀𝘂𝗽𝗽𝗼𝗿𝘁
I also write backend code (Python with Flask and Django, Go, JavaScript/TypeScript, Java) when the infrastructure work needs it. That means I can fix the application side of a deployment problem, build internal tooling, or wire up serverless functions myself instead of handing it back to your developers.
𝗪𝗵𝗲𝗿𝗲 𝗜 𝗵𝗮𝘃𝗲 𝗱𝗼𝗻𝗲 𝘁𝗵𝗶𝘀
▸ Zazmic Inc, San Francisco: GCP platform built on Terraform and Ansible, GitLab CI pipelines, Helm based deployments, Cloud Armor and HPA for resilience
▸ Tripleseat, Concord MA: Azure and GCP environments, Azure DevOps pipelines, Docker, Grafana and Prometheus monitoring
▸ Century Communities, Greenwood Village CO: AWS and Oracle Cloud, ECS and EKS workloads, CircleCI, GitHub Actions and CodePipeline, Lambda and Ansible automation, CloudWatch
𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝘀𝘁𝗮𝘆
▸ Honest scoping: you get a written scope, timeline, and the risks I see before any hours are billed. If something is out of my depth I say so.
▸ Your infrastructure stays yours: everything lives in your accounts and your repos, with documentation and handover notes so nobody depends on me to keep the lights on.
▸ Steady communication: regular progress updates in your channel of choice, no long silences, no surprises on the invoice.
▸ Production mindset: I treat your environment like I am on call for it, because during our engagement I am. That includes off hours incident response and 15 days of free support after delivery.
▸ Verifiable track record: Top Rated Plus with a 100% job success score, and I am happy to connect you with past clients for a reference.
Also worked with: Docker Swarm, Docker Compose, Apache Kafka, RabbitMQ, Celery, SQS, Redis, PostgreSQL, MySQL, MongoDB, DynamoDB, Elasticsearch, AWS Elastic Beanstalk, Heroku, Serverless Framework, WordPress, Windows Server, PowerShell, .NET, Confluence
#DevOps #CloudArchitect #Kubernetes #Terraform #AWS #GCP #Azure #Docker #CI_CD #InfrastructureAsCode #CloudMigration #DevOpsEngineer #Automation #CloudInfrastructure #Microservices #CloudSecurity #Serverless #AWSLambda #AzureDevOps #GitLabCI #GitHubActions #Linux #Bash #Python #Ansible #Jenkins #NGINX #ApacheKafka #Helm #EKS #GKE #Prometheus #Grafana #CloudWatch #HIPAA #SOC2 #SRE #PlatformEngineering
Steps for completing your project
After purchasing the project, send requirements so Ehteshamuddin can start the project.
Delivery time starts when Ehteshamuddin receives requirements from you.
Ehteshamuddin works on your project following the steps below.
Revisions may occur after the delivery date.
Strategic Planning & Enterprise Architecture Design
Analyze business objectives, workflows, AI requirements, integrations, and security needs. Design a scalable cloud architecture, define service dependencies, and create a detailed implementation roadmap.
Scalable Platform Build & Automation Deployment
Build cloud infrastructure, deploy microservices, configure automation workflows, integrate AI services, databases, APIs, and monitoring tools to establish a secure and scalable platform.