Hire the Best AWS DevOps Engineers

Clients rate our AWS DevOps Engineers
Rating is 4.8 out of 5.
4.8/5
Based on 4,365 client reviews
Shunmuga Sundara Perumal T.

Chennai, India

$40/hr
4.9
7 jobs

I’m an AWS Certified Solutions Architect – Professional with multiple AWS specialty certifications and hands-on experience designing scalable, secure cloud architectures. I help businesses migrate applications to AWS, improve infrastructure reliability, and implement DevOps best practices. My AWS Certifications: • AWS Certified Solutions Architect – Professional • AWS Certified Security – Specialty • AWS Certified Advanced Networking – Specialty • AWS Certified Solutions Architect – Associate • AWS Certified Cloud Practitioner I can help with: • Cloud migration to AWS • High-availability architecture design • DevOps automation and CI/CD pipelines • Infrastructure security and networking • Application deployment and monitoring I also teach AWS concepts on my YouTube channel(Learn Tech), helping engineers understand real-world AWS architecture and best practices.

  • Cloud Architecture
  • Cloud Development
  • AWS CloudFormation
  • AWS Development
  • Solution Architecture
  • AWS CloudTrail
  • Cloud Migration
  • Security Infrastructure
  • CI/CD
  • AWS Lambda
  • AWS Glue
  • AWS CloudFront
  • AWS Application
  • AWS Amplify
  • AWS Server Migration
  • Amazon EC2
  • Amazon S3
  • AWS CodeDeploy
Dawid G.

Dover, Delaware

$99/hr
5.0
52 jobs

If your AWS bill keeps climbing, production breaks under load, or a compliance deadline is getting close - the problem is rarely just AWS. It’s the architecture. I step into fragile systems and fix both: cloud infrastructure, and the application design running on it. Because even perfect AWS setup cannot save software that wasn’t designed to scale, isolate failures, or handle real production traffic. Most teams I work with are stuck in one of these situations: - AWS costs rising every month with no clear reason - Systems that pass tests but fail under real traffic - Compliance pressure from regulators or auditors - Constant firefighting instead of controlled releases Hiring more engineers or adding more monitoring increases complexity. I simplify the architecture - both infrastructure and code-level design - so the problems stop repeating. Recent outcomes: - Avoided a $5M federal penalty by delivering a critical federal platform before deadline, focusing only on what was required for compliant launch - Cut hosting costs from $96K to $14K per year by eliminating architectural waste across infrastructure and services - Designed and delivered a FedNow-ready, Federal Reserve-compliant real-time payments system scaling to 60,000 transactions per second using horizontally scaled services built specifically for cloud behavior What changes after I’m done: - Infrastructure and software designed to scale together - Predictable AWS costs - Systems that stay stable under load - Clear documentation and runbooks - A team that can operate it independently I build boring, predictable systems on purpose. Boring systems survive audits, scale events, and 3am incidents. If you’re dealing with cost pressure, reliability issues, or compliance risk, send me your biggest concern. I’ll tell you exactly what I would fix first and whether it’s worth doing. If it’s not a fit, I’ll say so.

  • Amazon DynamoDB
  • Node.js
  • API Development
  • AWS Lambda
  • API
  • Startup Company
  • Amazon ECS
  • AWS AppSync
  • AWS IoT Core
  • Socket Programming
  • AWS CloudFormation
  • AWS CodeDeploy
  • CI/CD
  • AWS Fargate
  • AWS CloudFront
Christine T.

Los Angeles, California

$68/hr
4.8
132 jobs

📣 FREE technical consultation (details below) 🐻 Proud UC Berkeley graduate (Applied Mathematics & Economics) and an entrepreneurial, reliable full-stack software developer with broad expertise across modern technologies (listed below). 💪💪💪 With experience as: • Full-Stack Team Lead at Camping World, a publicly traded company • Lead Technical Teaching Assistant at Hack Reactor, a leading software engineering bootcamp • Founder of Atini Studio, a high-performance software development agency With years of experience working with clients and leading engineering teams, I prioritize accountability, clear communication, and efficient execution. 🌈🌈🌈 I’m the founder of Atini Studio, a vibrant software development agency and a team I like to call software doctors: highly skilled engineers and creative UI/UX designers who diagnose, fix, and elevate digital products. ⌨️⌨️⌨️ What I help clients with: 📌 MVP development for startups 📌 Full-stack web applications 📌 Cross-platform mobile apps 📌 AI-powered features & integrations 📌 Clean implementation from Figma to production 📌 API integrations (Stripe, OpenAI, Google, Zoom, etc.) 📌 Performance optimization 📌 Technical architecture planning 📌 Product roadmap & scaling strategy We also leverage AI internally to accelerate development workflows and improve efficiency, so you get faster delivery without sacrificing quality. 🧩 Complimentary Technical Consultation Not sure how to move forward with your product? I can help you clarify: • The right tech stack • MVP scope • Timeline and budget expectations • System architecture decisions • Whether your current product is built correctly I offer a complimentary strategy session to help you create a clear and practical execution plan. 💻 Tech Stack: • Front End JavaScript | TypeScript | React | Next.js | React-Native | Angular | Vue.js | Tailwind CSS • Back End Node.js | NestJS | Python | Django | PostgreSQL | MongoDB | MySQL | ORM | GraphQL • API Integrations ChatGPT / OpenAI | Stripe | Google | Zoom | and more... • DevOps Amazon Web Services (AWS) | Firebase/GCP(Google Cloud Platform) | Azure | Docker • Testing Jest | Mocha | TDD • Developer Tools Git | npm | Webpack | Babel | Agile Methodology | Nginx • Design Adobe XD | Figma

  • Node.js
  • React
  • AWS Amplify
  • CSS 3
  • RESTful API
  • React Native
  • Firebase
  • Angular
  • Amazon EC2
  • JavaScript
  • Database
  • WordPress
  • ChatGPT
  • AI Development
  • AWS Development
Rehan H.

Bengaluru, India

$30/hr
5.0
14 jobs

I have 15+ years of experience architecting cloud solutions on AWS, building AI Agents and developing full-stack web applications, and distributed systems. ⭐⭐⭐⭐⭐ "Rehan is amazing and is certainly an expert in his field. If you need someone who is systemic and has a great eye for detail." Here's what you can expect from working with me: 🔹Consultative mindset geared towards helping client navigate complexity 🔹Clear communication ensuring seamless collaboration 🔹Efficient work ethic that focuses on automation and repeatability 🔹Pride in quality of the work that I deliver Key Highlighs: ✅ Established AWS cloud practice in a mid-sized IT MNC listed on NYSE & BSE/NSE ✅ Led a team of 700+ AWS Architect, Developers, DevOps, and SysOps experts. ✅ Delivered more than 300 projects in career ✅ AWS Certified Solutions Architect ✅ Published Author with books on Systems Design, and Web API development ✅ Regularly provide certification training at corporate level for AWS ✅ Over 200 ⭐ on GitHub repositories What can I help you with: ☁️ Application design and architecture: - Design scalable, resilient, and reliable systems architecture - Optimial bespoke solutions customised to your needs - Secure Network design ☁️ Cloud Infrastructure & DevOps - Secure network configuration (VPC, subnets, gateways, etc.) - Optimal EC2 server configuration - Database setup (RDBMS or NoSQL) - Load balancing, autoscaling, and more 💻 SaaS applications: - End to end SaaS deployment using AWS Services - Miroservices API & Compute using serverless stack using Lambda, Fargate, API Gateway - Or server-based solutions using EC2, Load Balancer - Authentication using Cognito - DNS and domain name configuration through Route53 - SSL configuration - Database using RDS / DynamoDB with appropriate data modelling / single table design - Combine services using SQS, SNS, Step Functions, etc. - Observability using CloudWatch 🖥️ Backend serverless apps - Lambda / API Gateway - ECS Fargate based container services 🤖 Bots and AI Agents - Agentic Bots in MS Teams, Web, Slack, etc. - Experience in OpenAI APIs - Local deployment of DeepSeek, Llama, Qwen, etc. My key expertise designing resilient systems using optimal building block. I have open source repositories on GitHub where I regularly publish extremely niche apps. Proficient in React, Astro, NextJS, NestJS, AWS, AWS Lambda, AWS EC2, S3, etc. I can provide links to code samples and apps that I have made Open Source on request.

  • AWS Lambda
  • Amazon EC2
  • Cloud Architecture
  • Amazon S3
  • Cloud Migration
  • Amazon Workspace Administration
  • Python
  • AWS CloudFormation
  • Amazon API Gateway
  • Amazon DynamoDB
  • Amazon Cognito
  • Microsoft Excel
  • Flask
Tsimafei S.

Bialystok, Poland

$45/hr
5.0
2 jobs

🎁 𝐆𝐄𝐓 𝐘𝐎𝐔𝐑 𝐅𝐑𝐄𝐄 𝐀𝐈 𝐑𝐄𝐀𝐃𝐈𝐍𝐄𝐒𝐒 𝐀𝐔𝐃𝐈𝐓 - send me a message and I'll analyze your stack, data pipelines, and AI use cases in 3-5 days. I work as a Machine Learning Engineer, AI Engineer, DevOps Engineer, and Python Developer delivering production Machine Learning systems and AI solutions using Python, with a strong focus on LLM, RAG systems, Computer Vision, and full MLOps / DevOps infrastructure. I operate with a team of 90+ engineers across Machine Learning, DevOps, and Backend, delivering complex Machine Learning and AI systems end-to-end, from data pipelines to deployed, monitored, and scaled systems in production for US and European clients. I'm a Machine Learning Engineer, AI Engineer, and Python Developer with 10+ years of experience building Machine Learning systems and AI solutions using Python for SaaS, fintech, manufacturing, and enterprise companies. As a Machine Learning Engineer, I combine Python, Deep Learning, NLP, Computer Vision, and LLM technologies to build scalable, production-grade Machine Learning systems that solve real business problems. 💻 As a Machine Learning Engineer, AI Engineer, and RAG Developer, I build RAG systems and Retrieval-Augmented Generation pipelines using Python, vector databases, semantic search, and knowledge retrieval systems integrated into production workflows. As a Machine Learning Engineer working with RAG pipelines, I design systems connected to SQL databases, CRMs, and internal knowledge bases. One Machine Learning-powered RAG system reduced support workload equivalent to 3 full-time employees, cutting response time from hours to seconds. As an AI Agent Developer using LangGraph and CrewAI, I build multi-agent Machine Learning systems where each agent handles retrieval, reasoning, and execution in a single production pipeline. 🤖 As a Machine Learning Engineer, AI Engineer, and LLM Developer, I deliver end-to-end LLM integration using Python and models like GPT-4/5, Claude, LLaMA, and Mistral. I build AI agents, AI copilots, and Machine Learning-driven automation systems integrated into enterprise workflows. As a Machine Learning Engineer, I handle prompt engineering, context engineering, embedding pipelines, vector databases like Pinecone, Weaviate, and Chroma, and optimization of Machine Learning and RAG systems in production environments. 👁️ As a Machine Learning Engineer and Computer Vision Engineer, I develop Computer Vision systems using Python, YOLOv8, Detectron2, and OpenCV for object detection, segmentation, and real-time analytics. I delivered a Machine Learning system that replaced manual inspection in manufacturing and reduced defect escape rate to near zero. I also build Document AI systems using OCR tools like Textract and Google DocAI, including full Machine Learning pipelines for processing noisy and unstructured data. 🧠 As a Machine Learning Engineer and NLP Engineer, I build Machine Learning systems using Python for Named Entity Recognition, text classification, semantic search, multilingual NLP, question-answering systems, sentiment analysis, and topic modeling. I combine traditional Machine Learning approaches with LLM technologies to deliver production-ready language systems. ⚙️ As a Machine Learning Engineer, MLOps Engineer, and DevOps Engineer, I design, deploy, and scale Machine Learning systems in production using Python and cloud infrastructure. I build Machine Learning and AI infrastructure with Kubernetes, Docker, Terraform, Ansible, Jenkins, Kafka, Grafana, Prometheus, and NGINX across AWS, Google Cloud, and Azure. In one DevOps and Machine Learning case, deployments scaled from 1 per month to 120 per month, deployment time decreased by 85%, and infrastructure costs were reduced by 55%. As a Machine Learning Engineer and DevOps Engineer, I don't just build models - I deploy, monitor, optimize, and scale Machine Learning systems in real environments. I build Machine Learning systems using Python, AI solutions, LLM applications, RAG systems, Computer Vision pipelines, NLP systems, and scalable MLOps / DevOps infrastructure that works in production. If you're looking for a Machine Learning Engineer, AI Engineer, Python Developer, or DevOps Engineer who understands Machine Learning systems, DevOps infrastructure, and real business workflows - you're in the right place. 🚀 If you're building or scaling a Machine Learning or AI product and need a Machine Learning Engineer, Python Developer, or DevOps Engineer who can design, build, deploy, and scale real production systems - not just prototypes - I can help. Most clients come when their Machine Learning systems are slow, unstable, or not delivering results. I redesign, optimize, and turn them into scalable Machine Learning and AI systems powered by Python and reliable DevOps infrastructure. 📩 Send me a message with your current setup, and I'll tell you what's missing, what can be improved, and whether your Machine Learning system is ready for prod

  • DevOps
  • Amazon Web Services
  • Machine Learning
  • Artificial Intelligence
  • Python
  • PyTorch
  • TensorFlow
  • Deep Learning
  • Natural Language Processing
  • Docker
  • Kubernetes
  • CI/CD
  • JavaScript
  • AI Development
  • Computer Vision
  • Data Analysis
  • Neural Network
  • Machine Learning Model
  • Data Science
  • AI Agent Development
Sofiia K.

Kyiv, Ukraine

$35/hr
5.0
29 jobs

Are you looking for a DevOps Engineer or System Administrator to help ensure your infrastructure is stable, scalable, and well-automated? You’re in the right place. My name is Sofiia, and I’m a DevOps Engineer / System Administrator with 6 years of hands-on experience working in a leading engineering company in Kyiv, Ukraine. I work as part of Skynix — a team focused on delivering reliable, scalable, and secure digital solutions. What I Do I help businesses build and maintain infrastructure that is stable, automated, and ready for growth. My experience includes: system administration and infrastructure support cloud infrastructure setup and maintenance CI/CD pipeline design and automation containerization and orchestration deployment and configuration management monitoring, reliability, and system optimization Core Technologies Kubernetes • Docker • Terraform • Ansible • Helm Jenkins • GitHub Actions • Spinnaker AWS • Azure Kafka • Consul • Istio • Calico • Kiali PostgreSQL • MySQL • SQLite • Firebase Java • JavaScript • Spring • Hibernate • jUnit • Postman Git • GitHub Business Domains Magento Commerce platforms WordPress marketing websites WooCommerce stores ERP / CRM systems corporate systems and access/security domains My Approach I focus on building infrastructure that is: reliable under production load automated to reduce manual errors scalable for business growth structured for long-term maintainability My goal is not just to “keep systems running,” but to ensure they are efficient, predictable, and safe for production environments. About Skynix Skynix is a full-cycle development company specializing in LAMP and JAM stack technologies, delivering complex web and infrastructure solutions using modern backend and frontend stacks. Why clients choose us: established in 2015 20+ engineers (senior, middle, junior levels) strong enterprise-level delivery experience reliable remote collaboration across time zones fast adaptation and strong engineering culture If you’re looking for a DevOps specialist who focuses on stability, automation, and system reliability — I’d be happy to collaborate.

  • DevOps
  • System Administration
  • Java
  • AWS CodePipeline
  • GitHub
  • Terraform
  • AWS CodeDeploy
  • Azure DevOps Server
  • Kubernetes
  • AWS CloudFormation
  • Azure DevOps
  • Hibernate
  • Docker
  • Apache Kafka
  • CI/CD

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