Hire the Best AWS ECS Developers

Clients rate our AWS ECS Developers
Rating is 4.9 out of 5.
4.9/5
Based on 452 client reviews
Arthur J.

Gilgit, Pakistan

$25/hr
4.9
13 jobs

I help startups and SaaS teams deploy faster, reduce outages, and run reliable production infrastructure on AWS. My work usually includes CI/CD pipelines, Docker and Kubernetes deployments, Terraform-based infrastructure, reverse proxies, SSL, monitoring, and production troubleshooting. Common projects include migrating manual deployments to GitHub Actions or Jenkins, deploying apps to EC2/ECS/Kubernetes, and stabilizing fragile environments that break under real traffic. When infrastructure and application issues overlap, I can also step into Node.js and React to solve the problem end to end. What I Help Clients Achieve ✔ Zero-stress deployments with automated CI/CD ✔ Cloud infrastructure that scales without surprise crashes ✔ Faster feature releases through optimized DevOps pipelines ✔ Secure production environments (SSL, reverse proxies, firewalls) ✔ Monitoring & alerting that catches problems before users do ✔ Cost-efficient cloud architecture (no wasted resources) ⚙️ My Expertise DevOps & Cloud Infrastructure AWS, GCP, Azure, DigitalOcean Docker, Kubernetes (EKS/ECS), Docker Swarm Terraform, CloudFormation, Ansible CI/CD pipelines (Jenkins, GitHub Actions, etc.) Nginx, HAProxy, Load Balancers Linux system administration Full-Stack Development Node.js, React.js, JavaScript SaaS platforms & real-time apps (WebRTC) REST APIs & microservices architecture SQL, MySQL, MongoDB Reliability & Performance Monitoring, logging & alerting systems Fault-tolerant architecture Performance optimization Disaster recovery & backups How I Work I don’t just “do tasks.” I look at your system like an owner would: Where can this break? Where can we automate? Where are you losing time or money? Then I fix it properly. If you need someone who can handle both infrastructure and application side, and turn messy setups into clean, reliable systems, let’s talk.

  • Amazon Web Services
  • Docker
  • Jenkins
  • Kubernetes
  • GitHub
  • Docker Compose
  • Terraform
  • AWS Development
  • Amazon EC2
  • NGINX
  • Apache Ant
  • SSL
  • Web Hosting
  • CI/CD
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
Raghav D.

Pune, India

$15/hr
5.0
1 jobs

Hi, I’m Raghav Daga, a DevOps and AWS Cloud Engineer helping startups and SaaS teams deploy secure, scalable, and automated production systems on AWS. I specialize in container-based deployments using ECS Fargate and Docker, end-to-end CI/CD automation with GitHub Actions, and real-world backend deployments using FastAPI and Node.js. Recent work: deployed a production EV Charger Management System on AWS — real-time IoT communication via MQTT, FastAPI microservices on ECS Fargate, automated billing, CloudWatch monitoring, and a full CI/CD pipeline. ─────────────────────────── 🛠 SERVICES I OFFER ─────────────────────────── • Design and deploy AWS infrastructure (VPC, EC2, ECS Fargate, ALB, RDS) for new and existing applications. • Containerize applications with Docker and set up CI/CD pipelines using GitHub Actions for automated, zero-downtime deployments. • Deploy and manage FastAPI / Node.js backends on AWS with structured logging, CloudWatch monitoring, and alerting. • Set up secure cloud networking — VPC architecture, IAM roles and policies, Security Groups, and Secrets Manager. • Optimize infrastructure for cost and performance — right-sizing, Auto Scaling, CloudWatch dashboards. • Migrate applications from basic servers to containerized, production-ready AWS environments. • Integrate real-time systems, async workers, and API gateways into scalable cloud-native architectures. ─────────────────────────── ⚙️ TECH STACK ─────────────────────────── • AWS: EC2, ECS Fargate, EKS, ECR, S3, Lambda, CloudWatch, IAM, VPC, Route 53, ALB, CloudFront • DevOps: Docker, GitHub Actions, Terraform, Kubernetes, Linux Administration, Nginx • Backend: Python / FastAPI, Node.js / Express, PostgreSQL, MongoDB, Redis, REST APIs ─────────────────────────── ✅ WHY CLIENTS WORK WITH ME ─────────────────────────── • Production-focused: I build systems with security, uptime, and maintainability in mind — not just "it works on my machine." • End-to-end ownership: From infrastructure design to deployment, monitoring, and documentation, I manage the full workflow. • Startup-friendly: Comfortable with MVPs, fast iterations, and infrastructure that scales as you grow. • Strong fundamentals: Deep hands-on experience across AWS, containers, CI/CD, and backend systems — not surface-level. ─────────────────────────── 📩 LET'S WORK TOGETHER ─────────────────────────── If you need help deploying or scaling your application on AWS using modern DevOps practices, send me a brief message about your app, tech stack, and current challenges — and I'll suggest a clear plan. Keywords: AWS DevOps Engineer, ECS Fargate, Docker, GitHub Actions CI/CD, Terraform, Cloud Infrastructure, FastAPI Deployment, Node.js Deployment, React.js, CloudWatch Monitoring, VPC Networking, Kubernetes, IoT Systems.

  • DevOps
  • Docker
  • Terraform
  • Kubernetes
  • Amazon ECS
  • Amazon EC2
  • Amazon S3
  • AWS Fargate
  • CI/CD
  • AWS CloudFormation
  • Cloud Services
  • Full-Stack Development
  • FastAPI
  • Node.js
  • Load Balancing
  • Database Management
  • GitHub
  • AWS Lambda
  • Linux System Administration
  • AWS Development
Muhammad M.

Tbilisi, Georgia

$3/hr
4.7
17 jobs

Stop manual deployments and start scaling with confidence. As a Senior AWS DevOps Engineer with a deep background in ASP.NET MVC, Spring, and Angular, I bridge the gap between development and operations. I don't just build infrastructure; I understand the code running on it. This allows me to build highly optimized pipelines and resilient architectures that developers actually enjoy using. ⭐ What I help you achieve: Zero-Downtime Deployments: Implementing robust CI/CD pipelines using AWS CodePipeline, GitHub Actions, and Jenkins. Infrastructure as Code (IaC): Eliminating manual configuration with Terraform and AWS CloudFormation for repeatable environments. Cloud Migration & Modernization: Containerizing legacy .NET and Spring Boot applications using Docker and Amazon EKS (Kubernetes). Cost Optimization: Reducing your monthly AWS bill by 20-40% through rightsizing and automation. Automated Testing: Integrating Cypress into your pipeline to catch bugs before they hit production. 🛠 Technical Toolkit: Cloud: AWS (EC2, S3, RDS, Lambda, VPC, IAM, ECS, EKS) DevOps Tools: Terraform, Docker, Kubernetes, Ansible, Helm CI/CD: GitHub Actions, Jenkins, AWS CodePipeline Testing: Cypress, Selenium Dev Languages: C# (.NET Core/MVC), Java (Spring), TypeScript (Angular), Python, Bash Whether you're a startup looking to set up your first AWS environment or an enterprise migrating a complex monolith to microservices, I can help you automate your way to success. Ready to optimize your cloud? Let’s schedule a consultation.

  • C#
  • CI/CD
  • GitHub Copilot
  • GitHub
  • CodeIgniter
  • AWS Lambda
  • AWS Fargate
  • Cypress
  • Angular
  • ASP.NET Core
  • AWS CodePipeline
  • Laravel
  • AWS Development
  • Docker
Rahul K.

Nagpur, India

$15/hr
5.0
9 jobs

I architect and build production-grade cloud systems—React frontends to serverless backends, AWS to Azure. My recent work spans edge computing (CloudFront + Lambda@Edge), enterprise identity systems (AWS Cognito, zero-trust architecture), and serverless SaaS infrastructure. I lead zero-downtime migrations, orchestrate multi-region deployments, and harden systems with OWASP compliance. I code the architecture, not just design it. Best fit: SaaS founders, fintech/healthtech startups, enterprises modernizing legacy systems. I'm strongest when you need someone who understands product architecture alongside cloud operations. 2+ years production experience across Intercom integrations, AI agent prototypes, and edge-optimized content platforms. Available for fractional CTO roles via CodeWizAI (codewizai.in). Let's discuss if I'm a fit for your next challenge—architecture review, full project delivery, or technical mentorship.

  • AWS Lambda
  • Edge Computing
  • Amazon Cognito
  • GraphQL
  • Automated Deployment Pipeline
  • React
  • NodeJS Framework
  • AWS AppSync
  • AWS Amplify
  • AWS Elemental MediaConvert
  • Azure App Service
  • OWASP
  • Multi-Factor Authentication
  • User Authentication
  • REST API
  • Terraform
  • CI/CD
  • Intercom
  • HubSpot
  • Amazon DynamoDB
Abhishek G.

New Delhi, India

$25/hr
5.0
88 jobs

AI Agent Architect | Claude Code | AWS Bedrock | LangGraph | n8n | RAG | Full Stack AI Systems I build production-grade AI systems, autonomous agents, and enterprise SaaS platforms that integrate deeply with real business operations. Over the last 11+ years, I've worked as a Software Engineer, Team Lead, CTO, and AI Architect, helping startups and enterprises design, build, deploy, and scale cloud-native products across AI, FinTech, Analytics, Media, eCommerce, and Enterprise SaaS. My focus today is building AI-native systems that move beyond simple chatbot experiences and become reliable business operators capable of reasoning, planning, executing tasks, and integrating with enterprise workflows. ━━━━━━━━━━━━━━━━━━━━━━ AI Agents & Agentic Systems I design and build production-ready AI agents capable of: • Autonomous decision making • Multi-step reasoning and execution • Tool calling and API orchestration • Multi-agent collaboration • Planner → Supervisor → Worker architectures • Long-term memory and contextual learning • Human-in-the-loop workflows • Event-driven automation systems • Enterprise knowledge retrieval • Agent evaluation and reliability testing Technologies: • Claude API (Anthropic) • OpenAI GPT-4o / Realtime API • AWS Bedrock • LangGraph • LangChain • MCP (Model Context Protocol) • CrewAI • Vector Databases • Knowledge Graphs Recent implementations include: • Financial Intelligence Agents • Company Research Agents • B2B Outreach Agents • AI Website Builders • AI Content Generation Systems • Customer Support Agents • Voice AI Agents • Enterprise Document Intelligence Platforms ━━━━━━━━━━━━━━━━━━━━━━ Retrieval-Augmented Generation (RAG) I build enterprise-grade RAG architectures designed for accuracy, traceability, and scalability. Capabilities: • Enterprise document ingestion pipelines • PDF, DOCX, HTML, Database ingestion • Chunking and embedding optimization • Hybrid retrieval architectures • Metadata filtering • Re-ranking pipelines • Knowledge graph integration • Hallucination reduction • Citation and provenance systems • Multi-tenant knowledge bases Vector Technologies: • Pinecone • OpenSearch • ElasticSearch • pgvector • Weaviate • FAISS • Supabase Vector Recent projects include enterprise document intelligence platforms and governed reasoning systems for business-critical workflows. ━━━━━━━━━━━━━━━━━━━━━━ n8n & Workflow Automation I build advanced automation systems using n8n that combine deterministic workflows with LLM reasoning. Capabilities: • AI-powered workflow orchestration • Agent-driven automation pipelines • Human approval workflows • Event-driven architecture • Queue-based processing • Retry-safe workflows • Background job processing • Cross-platform integrations • Multi-step decision engines Integrations: • Slack • Google Workspace • Microsoft 365 • HubSpot • Salesforce • Stripe • Twilio • Airtable • Notion • Internal APIs ━━━━━━━━━━━━━━━━━━━━━━ Voice AI & Conversational Systems Design and implementation of production-ready voice agents using: • Twilio Voice • OpenAI Realtime API • Claude-powered reasoning • AWS Transcribe • Whisper • ElevenLabs • Stateful conversation engines • Automated call summaries • CRM integrations Use Cases: • Appointment Booking • Lead Qualification • Customer Support • Sales Outreach • Reservation Systems • Internal Operations ━━━━━━━━━━━━━━━━━━━━━━ AWS Cloud & AI Infrastructure Strong background designing cloud-native AI platforms on AWS. Core Services: • AWS Bedrock • Lambda • ECS • EC2 • API Gateway • SQS • SNS • EventBridge • DynamoDB • Aurora • PostgreSQL • S3 • CloudFront • CloudWatch • Step Functions Infrastructure: • Terraform • CloudFormation • Docker • Kubernetes • CI/CD Pipelines • Multi-Tenant SaaS Architectures ━━━━━━━━━━━━━━━━━━━━━━ Full Stack AI Product Development Frontend: • React • Next.js • TypeScript Backend: • Node.js • Express • NestJS • Python • FastAPI Databases: • PostgreSQL • MySQL • MongoDB • DynamoDB • Redis ━━━━━━━━━━━━━━━━━━━━━━ Industries Served • FinTech • Enterprise SaaS • LegalTech • Healthcare • Media & Broadcasting • Crypto & Blockchain • Analytics Platforms • Marketing Automation • Cloud Infrastructure ━━━━━━━━━━━━━━━━━━━━━━ What Clients Typically Hire Me For ✓ Multi-Agent Systems ✓ Claude & AWS Bedrock Development ✓ Enterprise RAG Platforms ✓ n8n AI Automation ✓ AI SaaS Products ✓ Voice AI Agents ✓ Workflow Orchestration ✓ AI Architecture Reviews ✓ AWS Cloud Architecture ✓ Production Launches & Scaling If you're building an AI product and need someone who understands both agentic AI and production-grade software architecture, I can help design, build, deploy, and scale the entire system. ✓ Claude Code & OpenAI GPT-4o ✓ Multi-Agent Systems ✓ LangGraph & RAG Pipelines ✓ n8n & Workflow Automation ✓ Voice AI (Twilio, ElevenLabs) ✓ Node.js, React & AWS Bedrock ✓ Stripe, SaaS & Enterprise Integrations ✓ AI Agents for Finance, Legal, Healthcare & Op

  • WordPress
  • React
  • AWS Lambda
  • Node.js
  • Google Cloud Platform
  • AWS CloudFront
  • MongoDB
  • AWS Cloud9
  • AWS CloudFormation
  • Amazon ECS for Kubernetes
  • NIST Cybersecurity Framework
  • NIST SP 800-53
  • Amazon Kinesis Video Streams
  • AI Agent Development
  • LLM Prompt Engineering

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Don't just take our word for it

What does an AWS ECS developer do?

An AWS ECS developer builds and operates containerized applications on Amazon Elastic Container Service by defining task configurations and managing service deployments. This role focuses on translating application requirements into running containers within a managed cluster environment. The developer handles the lifecycle of these containers from initial definition through active operation and updates.

  • Authors JSON-based task definitions that specify container images, CPU and memory limits, and environment variables for each application component. These definitions act as blueprints that tell the ECS cluster how to launch and run specific containers. The developer registers new revisions of these definitions whenever application code or configuration requirements change.
  • Configures ECS services to maintain a desired number of running tasks across the cluster infrastructure. This work involves setting deployment strategies such as rolling updates or blue/green deployments to minimize downtime during releases. The developer integrates these services with Application Load Balancers to route incoming traffic to healthy container instances automatically.
  • Diagnoses failed deployments and unhealthy task states by reviewing service event histories and container logs. This troubleshooting process identifies issues related to resource constraints, networking permissions, or incorrect image references. The developer iterates on task definitions and service settings to resolve these operational failures and restore stable application performance.

How to hire an AWS ECS developer on Upwork

Step 1: Post a job

Describe your container orchestration needs in a few sentences and let Job Post Generator powered by Uma™, Upwork's Mindful AI draft a precise job post for the role. You can write a new post, update a saved draft, or reuse an existing post to start finding candidates quickly.

  • Specify requirements for creating Amazon ECS task definitions and configuring services to run within an ECS cluster.
  • List necessary experience with AWS networking, IAM roles, and Application Load Balancer integration for secure container communication.
  • Define expected deliverables such as updated service configurations and operational documentation for running ECS-based releases.

Step 2: Evaluate candidates

Look for portfolios that demonstrate hands-on management of deployment strategies like rolling or blue/green updates for ECS services. Uma can run instant video interviews and build shortlists with side-by-side comparisons to help you assess technical fit.

  • Verify experience registering task definition revisions and deploying them to production clusters using the AWS CLI or console.
  • Check for examples of troubleshooting failed deployments and diagnosing unhealthy tasks within the ECS service history.
  • Confirm familiarity with CI/CD orchestration tools that launch ECS deployments and manage container image references.

Step 3: Interview your top choices

Discuss specific scenarios involving traffic shifting and service scaling to gauge their practical knowledge of Amazon Elastic Container Service. Schedule and conduct these interviews within Upwork Messages to receive an immediate transcript and summary after each one.

  • Ask how they configure deployment controllers to shift traffic between environments during a blue/green release.
  • Request details on how they monitor task behavior and adjust desired task counts for optimal performance.
  • Explore their approach to updating container images and managing version control for task definitions.

Step 4: Agree on scope and begin work

Define clear milestones for building task definitions and configuring deployment strategies before starting the engagement. Use Upwork Messages and the contract workroom for communication and project management, plus identity verification, payment protection, hourly tracking, and project funds for security.

  • Set deliverables for initial ECS task definition creation and subsequent service configuration updates.
  • Establish a timeline for implementing deployment configurations and testing traffic shift components.
  • Agree on documentation standards for operating and updating the ECS-based release process.

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

The rates and information provided in this article are based on current data and industry sources available at the time of publication. Freelance rates can vary depending on factors such as experience, location, project scope, and market conditions. Readers are encouraged to conduct their own research to confirm current rates and trends, as this information may change over time.

How much does hiring an AWS ECS developer cost?

$500-$2,500 per project is a typical range for focused AWS ECS developer work. Final pricing depends on scope, technical complexity, required integrations, source-material quality, revision needs, and the freelancer's experience level.

Task definition configuration

$500-$1,000/project

Entry-level to mid-level
  • Authored ECS task definitions for container specs
  • Updated container image tags in task revisions
  • Verified task registration and syntax checks

Service deployment setup

$1,000-$2,000/project

Mid-level
  • Configured ECS services with desired task counts
  • Linked Application Load Balancer targets to tasks
  • Documented initial rollout steps and status

Blue/green migration

$2,000-$4,000/project

Mid-level to senior-level
  • Defined blue/green strategy using AWS CodeDeploy
  • Built CI/CD orchestration for automated shifts
  • Specified steps to revert traffic on failure

Cluster integration

$4,000-$7,500/project

Senior-level
  • Assigned least-privilege roles to ECS tasks
  • Mapped VPC subnets and security groups for clusters
  • Compiled guides for networking and access controls

Custom orchestration build

$7,500-$12,000/project

Expert-level
  • Coded dynamic scaling policies based on metrics
  • Built views for task health and deployment history
  • Authored runbooks for troubleshooting and updates

Frequently asked questions

Is hiring an AWS ECS developer worth it?

For most businesses, yes: hiring an AWS ECS developer is worthwhile. These specialists configure container orchestration to run applications reliably without managing underlying servers. They build task definitions and manage deployment strategies that keep services available during updates.

How do I evaluate AWS ECS developer candidates?

Review how candidates structure ECS task definitions and handle service updates in their past projects. Ask them to explain a specific instance where they diagnosed a failed deployment or configured blue/green traffic shifting with an Application Load Balancer.

What tools does an AWS ECS developer use?

An AWS ECS developer uses the AWS CLI and console to register task definitions and update services. They often integrate AWS CodeDeploy for blue/green deployments and connect services to Application Load Balancers for traffic management.

What deliverables should I expect from an AWS ECS developer?

You should receive registered ECS task definitions in JSON format and updated service configurations. The developer also submits operational documentation that details how to run and update the containerized release.