Hire the Best AWS Fargate Developers

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Amar B.

Senior Full-Stack Developer | AWS DevOps | AI & Cloud Solution

Kolkata, India
$14 per hour
5 jobs
$4K+ total earnings

I help startups and enterprises build scalable SaaS platforms, AI-powered applications, cloud-native systems, and high-performance web applications. With 15+ years of software engineering experience, I bring end-to-end expertise from system architecture and development to AWS deployment, DevOps automation, and production optimization. 🚀 Full-Stack Application Development Frontend: React.js, Next.js, Vue.js, TypeScript, JavaScript Backend: Python (FastAPI, Django, Flask), Node.js, NestJS REST APIs, Microservices, GraphQL, WebSockets Database Design: PostgreSQL, MySQL, MongoDB Scalable, clean, and maintainable architecture 🤖 AI & Intelligent Application Development AI SaaS applications & AI agent development OpenAI ChatGPT, Claude, LLM API integrations RAG systems, vector databases, AI automation workflows AI-powered chatbots and intelligent assistants ☁️ AWS Cloud, Microservices & DevOps AWS Serverless Development (Lambda, API Gateway, S3, DynamoDB, RDS, SQS, SNS, SES) Microservices architecture and cloud-native applications Docker, Kubernetes, Terraform, CloudFormation CI/CD with GitHub Actions, GitLab CI/CD, Jenkins Infrastructure as Code (IaC), monitoring, logging, and AWS cost optimization 🏆 Certifications AWS Certified DevOps Engineer – Professional AWS Certified Solutions Architect – Associate AWS Certified Developer – Associate AWS Certified Cloud Practitioner HashiCorp Certified Terraform Associate Why Clients Work With Me ✔ End-to-end ownership: Architecture → Development → Deployment ✔ Strong experience with SaaS, AI products, and enterprise applications ✔ Secure, scalable, and cost-optimized cloud solutions ✔ Clean code, automated testing, and reliable delivery ✔ Clear communication and a long-term technology partnership Whether you need a Full-Stack Developer, FastAPI/Python Engineer, Node.js/NestJS Developer, React/Next.js Expert, AI Application Developer, or AWS DevOps Engineer, I can help turn your ideas into production-ready solutions. Let’s build scalable, secure, and future-ready applications together.

Muhammad M.

AWS DevOps Engineer | Software Developer | Video Editor

Tbilisi, Georgia
$3 per hour
17 jobs
$400+ total earnings

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.

Dawid G.

Cloud | AWS | DevOps | SOC2 | PCI

Dover, Delaware
$99 per hour
52 jobs
$800K+ total earnings

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.

Usama M.

Senior AWS Cloud & DevOps Engineer | Terraform, Migration, Security

Multan, Pakistan
$40 per hour
261 jobs
$100K+ total earnings

🚀 Are you facing AWS infrastructure issues, cloud migration risks, deployment failures, security vulnerabilities, or unstable production environments? I help businesses design, migrate, secure, automate, and maintain production-grade cloud infrastructure on AWS. MY 8+ years of hands-on experience, I work as a Senior AWS Cloud Engineer, DevOps Engineer, and Solutions Architect across SaaS platforms, web applications, databases, enterprise networks, and AI-powered systems. My focus is simple: build cloud infrastructure that is secure, scalable, automated, observable, cost-efficient, and easy to maintain. ☁️ 𝗔𝗪𝗦 𝗖𝗟𝗢𝗨𝗗 𝗔𝗥𝗖𝗛𝗜𝗧𝗘𝗖𝗧𝗨𝗥𝗘 ━━━━━━━━━━━━━━━━━━━━ ✅ AWS infrastructure design and implementation ✅ EC2, ECS, EKS, Fargate, Lambda, RDS, S3, CloudFront, and Route 53 ✅ Highly available and fault-tolerant cloud architecture ✅ VPC design, public/private subnets, NAT Gateway, and load balancers ✅ IAM roles, policies, access control, and AWS account security ✅ Multi-environment architecture for development, staging, and production 🔄 𝗖𝗟𝗢𝗨𝗗 𝗠𝗜𝗚𝗥𝗔𝗧𝗜𝗢𝗡 ━━━━━━━━━━━━━━━━━━━━ ✅ On-premises and VPS migration to AWS ✅ Lift-and-shift server migration ✅ AWS Application Migration Service and database migration ✅ Application migration to ECS, Fargate, EC2, and Kubernetes ✅ DNS, SSL, Cloudflare, and domain migration ✅ Zero-downtime and low-risk migration planning ✅ Post-migration validation, monitoring, and optimization 🚀 𝗗𝗘𝗩𝗢𝗣𝗦 & 𝗖𝗜/𝗖𝗗 ━━━━━━━━━━━━━━━━━━━━ ✅ GitHub Actions, GitLab CI/CD, Jenkins, and AWS CodePipeline ✅ Automated build, testing, and deployment pipelines ✅ Docker and containerized application deployments ✅ Blue/green, rolling, and canary deployment strategies ✅ React, Next.js, Node.js, Laravel, Python, and FastAPI deployments ✅ Environment variables, secrets, and release management ✅ Production troubleshooting and deployment recovery 🧩 𝗧𝗘𝗥𝗥𝗔𝗙𝗢𝗥𝗠 & 𝗜𝗡𝗙𝗥𝗔𝗦𝗧𝗥𝗨𝗖𝗧𝗨𝗥𝗘 𝗔𝗦 𝗖𝗢𝗗𝗘 ━━━━━━━━━━━━━━━━━━━━ ✅ Terraform infrastructure development ✅ AWS CloudFormation templates ✅ Reusable infrastructure modules ✅ Dev, staging, and production environment automation ✅ Infrastructure state management and version control ✅ Secure and repeatable cloud provisioning ✅ Existing Terraform review and troubleshooting 📦 𝗗𝗢𝗖𝗞𝗘𝗥 & 𝗞𝗨𝗕𝗘𝗥𝗡𝗘𝗧𝗘𝗦 ━━━━━━━━━━━━━━━━━━━━ ✅ Docker containerization and Docker Compose ✅ AWS ECS and Fargate deployments ✅ Amazon EKS and Kubernetes cluster management ✅ Helm charts and Kubernetes manifests ✅ Ingress, load balancing, autoscaling, and secrets ✅ Microservices infrastructure ✅ Container monitoring and troubleshooting 🌐 𝗔𝗪𝗦 𝗡𝗘𝗧𝗪𝗢𝗥𝗞𝗜𝗡𝗚 ━━━━━━━━━━━━━━━━━━━━ ✅ AWS VPC architecture ✅ Site-to-Site VPN and private connectivity ✅ Public and private subnet configuration ✅ Security groups, NACLs, and route tables ✅ AWS PrivateLink and VPC endpoints ✅ On-premises to AWS connectivity ✅ RDS private subnet access through VPN, bastion, and secure tunneling ✅ Load balancer, DNS, and SSL troubleshooting 🔐 𝗖𝗟𝗢𝗨𝗗 𝗦𝗘𝗖𝗨𝗥𝗜𝗧𝗬 & 𝗗𝗘𝗩𝗦𝗘𝗖𝗢𝗣𝗦 ━━━━━━━━━━━━━━━━━━━━ ✅ Linux server security and hardening ✅ AWS IAM and least-privilege access ✅ Security group and firewall configuration ✅ SSL/TLS certificate installation and troubleshooting ✅ Malware cleanup and compromised-server recovery ✅ AWS Secrets Manager and secure credential handling ✅ Cloudflare protection, WAF, DNSSEC, and DDoS protection ✅ Backup, disaster recovery, and security remediation ✅ SPF, DKIM, and DMARC email security 💾 𝗗𝗔𝗧𝗔𝗕𝗔𝗦𝗘 & 𝗥𝗗𝗦 𝗦𝗨𝗣𝗣𝗢𝗥𝗧 ━━━━━━━━━━━━━━━━━━━━ ✅ Amazon RDS setup and troubleshooting ✅ SQL Server, PostgreSQL, MySQL, and MongoDB ✅ RDS private subnet connectivity ✅ Database migration and optimization ✅ Security, backups, and access configuration ✅ MongoDB Atlas performance optimization ✅ Database monitoring and production issue resolution 📊 𝗠𝗢𝗡𝗜𝗧𝗢𝗥𝗜𝗡𝗚 & 𝗢𝗕𝗦𝗘𝗥𝗩𝗔𝗕𝗜𝗟𝗜𝗧𝗬 ━━━━━━━━━━━━━━━━━━━━ ✅ Prometheus, Grafana, and Loki ✅ AWS CloudWatch logs, metrics, and alarms ✅ Datadog and ELK Stack ✅ Infrastructure and application dashboards ✅ SNMP monitoring, syslog, and alerting ✅ Centralized log management ✅ Production incident investigation ✅ Performance and availability monitoring 🏆 𝗪𝗛𝗔𝗧 𝗜 𝗛𝗔𝗩𝗘 𝗗𝗘𝗟𝗜𝗩𝗘𝗥𝗘𝗗 ━━━━━━━━━━━━━━━━━━━━ ✅ AWS infrastructure migrations using ECS Fargate, RDS, Cloudflare, and Terraform ✅ Secure private connectivity to AWS RDS SQL Server ✅ AWS VPC and Site-to-Site VPN implementations ✅ Prometheus, Grafana, and Loki observability platforms ✅ GitLab CI/CD pipelines for Docker and microservices ✅ AWS GovCloud infrastructure using CloudFormation ✅ Cloudflare security and protection implementations ✅ Linux server recovery, malware cleanup, and hardening ✅ AWS SES email platforms and deliverability improvements ✅ Docker-based SaaS deployments on AWS and Azure ✅ AWS networking, SSL, DNS, and API Gateway troubleshooting ✅ Application migration from V

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What does an AWS Fargate developer do?

An AWS Fargate developer builds and deploys containerized applications on Amazon ECS using the serverless compute engine. This role removes the need to provision or manage servers for container workloads. The developer defines task specifications and configures the underlying infrastructure to run these tasks securely. They focus on application logic and resource allocation rather than operating system maintenance.

  • Authors ECS task definitions that specify container images, CPU and memory limits, and logging drivers. These definitions serve as blueprints for how the application runs within the Fargate environment. The developer ensures each container has the correct entry points and environment variables for proper execution.
  • Configures IAM roles to grant tasks precise permissions for accessing other AWS services. This includes setting up task execution roles for pulling images from Amazon ECR and writing logs to CloudWatch. The developer also defines task roles that allow the application code to interact with databases or storage buckets securely.
  • Implements networking rules using the awsvpc network mode to assign dedicated elastic network interfaces to each task. This setup enables direct integration with Application Load Balancers for traffic distribution. The developer places tasks in private subnets to restrict public access while maintaining connectivity to required internal resources.
  • Sets up ECS services to maintain the desired number of running tasks across multiple availability zones. This configuration ensures high availability by automatically replacing stopped or failed tasks. The developer tunes deployment strategies to minimize downtime during updates and rolling releases.
  • Integrates CloudWatch Logs to capture standard output and error streams from running containers. This visibility allows teams to troubleshoot issues and monitor application health in real time. The developer may also configure alarms based on specific log patterns or metric thresholds to trigger automated responses.

How to hire an AWS Fargate developer on Upwork

Step 1: Post a job

Define your container infrastructure needs clearly to attract qualified candidates. Use the Job Post Generator powered by Uma™, Upwork's Mindful AI to draft a precise description from a few sentences about your ECS requirements. You can write a new post, update a saved draft, or reuse an existing post.

  • Specify that the freelancer must design ECS task definitions with correct resource limits and logging configurations for serverless execution.
  • Request experience configuring IAM task execution roles to grant containers secure access to other AWS services like S3 or DynamoDB.
  • Detail your networking needs, such as awsvpc mode integration with Application Load Balancers or private subnet placement.

Step 2: Evaluate candidates

Look for proof of hands-on experience with Amazon ECS and Fargate launch types in past projects. Uma can run instant video interviews and build shortlists with side-by-side comparisons to help you assess technical fit quickly.

  • Check portfolios for examples of migrated monolithic applications to microservices running on Fargate without managing underlying servers.
  • Verify their ability to set up CloudWatch Logs integration so container stdout and stderr streams capture operational data correctly.
  • Confirm they understand how to configure service auto-scaling policies based on CPU or memory utilization metrics.

Step 3: Interview your top choices

Discuss specific architectural decisions to gauge their depth of knowledge in serverless container orchestration. Schedule and conduct interviews within Upwork Messages, which generates an immediate transcript and summary after each session.

  • Ask how they handle failed task replacements and define health check parameters within an ECS service definition.
  • Question their approach to securing container images stored in Amazon ECR before deployment to the Fargate cluster.
  • Explore their strategy for managing environment variables and secrets injection into running tasks securely.

Step 4: Agree on scope and begin work

Outline clear deliverables such as task definitions, service configurations, and IAM policies before starting. Use Upwork Messages and the contract workroom for communication and project management, plus identity verification, payment protection, hourly tracking, and project funds for security.

  • Require the freelancer to submit validated JSON task definitions that specify container images, port mappings, and compute resources.
  • Mandate the configuration of an ECS service that maintains the desired count of running tasks across multiple Availability Zones.
  • Insist on documented IAM policies that follow the principle of least privilege for both task execution and application roles.

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 Fargate developer cost?

$500-$1,500 per project is a typical range for focused AWS Fargate 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-$1,200/project

Entry-level to mid-level
  • Defined CPU and memory limits for Fargate tasks
  • Configured CloudWatch Logs integration for container output
  • Tested task execution in the ECS cluster

IAM role setup

$1,200-$2,500/project

Mid-level
  • Created IAM policies for pulling images from ECR
  • Scoped access rights for application resources
  • Verified least-privilege access for all roles

Service deployment

$2,500-$4,500/project

Mid-level to senior-level
  • Deployed service with auto-replacement for failed tasks
  • Connected Fargate tasks to Application Load Balancer
  • Configured target group health monitoring

Network integration

$4,500-$7,000/project

Senior-level
  • Set up awsvpc networking for task isolation
  • Mapped private subnets for secure container traffic
  • Defined ingress and egress rules for services

Full stack orchestration

$7,000-$12,000/project

Expert-level
  • Implemented dynamic scaling based on CloudWatch metrics
  • Automated image builds and service updates
  • Built operational views for task performance and errors

Frequently asked questions

Is hiring an AWS Fargate developer worth it?

For most businesses, yes: hiring an AWS Fargate developer is worthwhile. This specialist removes the burden of managing servers by configuring containerized applications to run on a serverless compute engine. You pay only for the resources your tasks consume while the developer handles task definitions and scaling logic.

How do I evaluate AWS Fargate developer candidates?

Look for candidates who demonstrate specific experience with Amazon ECS task definitions and IAM role configuration. A strong candidate explains how they set up awsvpc networking mode and integrate CloudWatch Logs for monitoring container health.

What is the difference between EC2 and Fargate launch types?

Fargate runs containers without requiring you to provision or manage underlying servers. An AWS Fargate developer configures tasks to use this serverless model so you focus on application code rather than infrastructure maintenance.

How does an AWS Fargate developer handle container networking?

The developer assigns each task its own elastic network interface using the awsvpc network mode. This setup allows precise security group controls and direct integration with Application Load Balancers for traffic distribution.