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I help startups and growing teams design, operate, and optimize reliable cloud platforms with a strong focus on scalability, cost control, and long-term maintainability. I’m a senior DevOps and Platform Architect with hands-on production experience across Azure, AWS, and on-prem environments. I’ve worked with both Kubernetes-focused startups and large enterprises, including AT&T and Dish Wireless, where I supported customer-facing platforms and complex cloud infrastructure. My work typically begins where generic DevOps support ends—when systems become difficult to scale, cloud costs start growing unpredictably, or teams need a platform they can confidently run in production. What I specialize in • Production-grade Kubernetes platforms on AKS and EKS, including private clusters • Ingress and traffic management using NGINX, Application Gateway, and internal load balancers • Secure cloud networking, VNET/VPC design, and hybrid connectivity • Infrastructure as Code ownership using Terraform across multi-cloud and on-prem environments • CI/CD pipelines for applications and infrastructure • Cloud cost optimization and FinOps-focused architecture improvements • Practical AI-assisted DevOps tooling to improve visibility, documentation, and operational decision-making How I work I primarily work on monthly retainers, acting as a long-term DevOps and platform partner rather than a short-term task executor. Typical engagements include platform audits, infrastructure redesigns, cost optimization initiatives, and ongoing ownership of cloud and Kubernetes environments. Background • Worked with Kubernetes-focused companies such as Magalix (Weaveworks) and Kasten(dot)io (Veeam) • Delivered customer projects for AT&T and Dish Wireless • Multi-cloud production experience across Azure, AWS, and on-prem • Certified Kubernetes Application Developer (CKAD) • AWS Developer Associate • Terraform Associate • Udacity DevOps Engineering Nanodegree • Bachelor’s degree in Computer Science If you’re looking for a DevOps partner who can design and operate complex platforms, reduce operational risk, and think ahead about scale, cost, and reliability, I’d be happy to discuss how I can help.

Paying too much for AWS but still shipping slow? I turn bulky monoliths into lean serverless apps that deploy in minutes and cut cloud spend by ≈ 40 %. Backed by 10 years of hands-on AWS expertise and a 100 % Job Success Score. Why me: 🥇 Top 1 % on Upwork • $1 M+ earned • 80 K+ tracked hours Serverless architect for startups and enterprises in FinTech, IoT, AI/ML Proven record of weekly fixed and retainer projects with > 30 % margin for clients AWS toolbox: Lambda • Step Functions • API Gateway • DynamoDB • S3 • CloudFront • Glue • Batch • ECS Fargate • Auto Scaling • CloudFormation / CDK • Route 53 • CodeBuild / Deploy / Pipeline • IoT • RDS Aurora• AWS Bedrock

I am a DevOps engineer with experience in AWS and GCP since 2019, prior to that only legacy technologies. This experience includes roles as developer, architect and leading. Since 2025, I specialized with agentic AI tools, from vibe coding websites and apps (with proper processes) to build an agentic AI platform from scratch. For the time being, I have worked with many cloud native apps and integrated them with open source tools, such as Jenkins, ArgoCD, Terraform and many others. In the AI space, I have worked with Cursor, Claude Code, solo.io tools and others. Also I have multiple certifications, such as: AWS Developer and Solutions Architect, Hashicorp Terraform associate and Azure Architect

I'm a software engineer with 10+ years of experience. Worked at Amazon (AWS) for 5+ years. I have vast knowledge of AWS, DevOps. Fluent in multiple programming languages. I'm easy to work with and flexible. Expertise: * AWS: Proficient with most AWS services. AWS Certified Developer – Associate * Languages: Python, Java, Javascript * Infrastructure as Code: AWS CDK, Cloudformation * Deployment: AWS CodePipeline/CodeBuild, Github Actions * Containers: Docker, Docker Compose * Frameworks: ReactJs, Spring, Serverless * Reverse Proxy: Nginx * VCS: Git, SVN