Hire the Best AWS CloudFront Developers

Clients rate our AWS CloudFront Developers
Rating is 4.9 out of 5.
4.9/5
Based on 235 client reviews
Abhishek G.

New Delhi, India

$25/hr
5.0
88 jobs

I help enterprises move AI from prototype to production — solving the problems that appear when AI systems become **expensive, slow, unreliable, and difficult to scale.** With 12+ years across Software Engineering, Technical Leadership, CTO, and AI Architecture, I design production-grade AI systems, agentic workflows, enterprise RAG platforms, and AI-native SaaS products. My focus is not simply building chatbots. I solve the engineering problems behind reliable AI: • Runaway token costs • Slow agent execution • Excessive LLM calls and agent loops • Poor RAG retrieval and hallucinations • Chunking and embedding problems • Context-window and memory problems • Unreliable multi-agent systems • AI infrastructure and scaling • Observability, evaluation and cost control ━━━━━━━━━━━━━━━━━━━━━━ 🚀 AI AGENT ARCHITECTURE I design production-ready: • Multi-agent systems • Planner → Supervisor → Worker architectures • Tool calling and API orchestration • MCP-based systems • Agent memory and state management • Human-in-the-loop workflows • Long-running/background agents • Event-driven agents • Agent evaluation, guardrails and failure recovery Technologies: Claude, OpenAI, AWS Bedrock, AgentCore, LangGraph, LangChain, MCP, n8n, Python, TypeScript, FastAPI, Node.js. ━━━━━━━━━━━━━━━━━━━━━━ 💰 AI TOKEN COST OPTIMIZATION AI systems can become extremely expensive at production scale. I reduce unnecessary: • Prompt/context tokens • Conversation history • RAG context • Tool outputs • Agent-to-agent communication • LLM calls and reasoning loops Using context compression, prompt caching, model routing, retrieval optimization, structured outputs, summarization and intelligent model selection. The goal isn't simply **"use a cheaper model."** It is to reduce inference cost while maintaining quality and reliability. ━━━━━━━━━━━━━━━━━━━━━━ ⚡ AGENT LATENCY OPTIMIZATION Slow agents are often an architecture problem. I analyze: User → API → Agent → LLM → Retrieval → Tools → APIs → Database → Response And optimize: • Sequential → parallel execution • Unnecessary LLM calls • Tool-call chains • RAG/vector-search latency • Database/API bottlenecks • Network round trips • Model selection • Streaming, caching and async execution ━━━━━━━━━━━━━━━━━━━━━━ 🧠 CONTEXT ENGINEERING Many AI systems fail because the model receives the **wrong context**. I design architectures for: • Short/long-term memory • Conversation history • Retrieved knowledge • Task and agent state • Tool results • Dynamic context • Context compression and prioritization The key questions are: **What should the model know? When should it know it? How much does it actually need?** ━━━━━━━━━━━━━━━━━━━━━━ 🔎 ENTERPRISE RAG & RETRIEVAL I build RAG systems optimized for **accuracy, latency, cost, security and traceability.** I solve: • Poor retrieval and irrelevant chunks • Hallucinations • Large context windows • Slow vector search • Metadata filtering • Multi-tenant / permission-aware retrieval • Citations and provenance • Embedding and reranking problems Typical pipeline: Document → Parsing → Chunking → Embedding → Hybrid Search → Metadata Filter → Reranking → Context → LLM Technologies: Pinecone, OpenSearch, Elasticsearch, pgvector, Weaviate, FAISS. ━━━━━━━━━━━━━━━━━━━━━━ ✂️ CHUNKING & EMBEDDING OPTIMIZATION Chunking is often a hidden cause of poor RAG performance. I work with: • Fixed, sentence, paragraph and semantic chunking • Parent-child retrieval • Document/code-aware chunking • Metadata enrichment • Overlap optimization • Embedding selection • Top-K tuning • Reranking The objective isn't smaller chunks — it's creating retrieval units that preserve the meaning needed to answer the question. ━━━━━━━━━━━━━━━━━━━━━━ 🏗️ AI AGENT INFRASTRUCTURE I design infrastructure for reliable, scalable agent execution: • Agent runtime and background jobs • Queues and state/checkpointing • Retries and idempotency • Concurrency and rate limiting • Observability and tracing • Cost monitoring • Multi-tenancy and security • Failure recovery AWS: Bedrock, AgentCore, Lambda, ECS, EKS, API Gateway, ALB, SQS, EventBridge, Step Functions, DynamoDB, Aurora, S3, OpenSearch, CloudWatch. ━━━━━━━━━━━━━━━━━━━━━━ 🤖 CLAUDE CODE / AI-NATIVE ENGINEERING I use **Claude Code as an AI engineering layer**, not just a code generator. Capabilities include: • Large codebase understanding • Architecture analysis • Refactoring and modernization • Feature implementation • Debugging and test generation • Code review • Repository intelligence • MCP integrations • Engineering automation I help teams evolve from traditional development toward **AI-native software engineering.** ━━━━━━━━━━━━━━━━━━━━━━ 🔄 AI APPLICATION MODERNIZATION I help existing SaaS and enterprise applications become AI-native: **Legacy Application → APIs → AI Layer → Agents → Knowledge → Automation** Including AI copilots,

  • AWS CloudFront
  • WordPress
  • React
  • AWS Lambda
  • Node.js
  • Google Cloud Platform
  • 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
Khanjan M.

Rajkot, India

$25/hr
5.0
35 jobs

A Reliable and Detailed-oriented individual Looking for work in specifically AWS based Cloud Infrastructure, possessing good interpersonal and analytical skills, who wish to work with 100% dedication.

  • AWS CloudFront
  • Amazon Web Services
  • Amazon ECS for Kubernetes
  • Containerization
  • Kubernetes
  • Amazon EC2
  • Docker
  • Jenkins
  • CI/CD
  • Amazon CloudWatch
  • GitHub
  • Grafana
  • Terraform
  • Deployment Automation
  • Google Cloud Platform
Raghunathan S.

Puducherry, India

$30/hr
4.7
159 jobs

🥇 Top 3% AWS Expert on Upwork | AWS Advanced Tier Services Partner | Certified Solutions Architect I help startups and enterprises design, migrate, and optimize secure, scalable AWS infrastructure. 10+ years delivering cloud architecture, zero-downtime migrations, DevOps automation, and cost optimization for telecom, SaaS, fintech, and enterprise platforms handling millions of users. What I Do: ☁️ AWS Cloud Architecture – Landing Zone design, secure 3-tier architecture, multi-account strategy, high availability, disaster recovery, network design (VPC, Route53, CloudFront) 🚀 AWS Migration – Data center to AWS, multi-cloud strategy, phased migrations, zero-downtime cutover, lift-and-shift, refactor, re-platform approaches ⚙️ DevOps & Automation – Terraform IaC, CloudFormation, CI/CD pipelines (GitHub Actions, CodePipeline, Jenkins), EKS/ECS, Docker, Kubernetes, infrastructure automation 💰 AWS Cost Optimization – Right-sizing analysis, Reserved Instances, Savings Plans, FinOps implementation, cost anomaly detection, cloud billing analysis (25-40% savings achieved) 🔐 Security & Compliance – IAM hardening, least-privilege access, VPC security, WAF/Shield, encryption (KMS), SOC 2, HIPAA, PCI-DSS compliance on AWS 🤖 Serverless & AI – Lambda, API Gateway, Bedrock, SageMaker, event-driven architectures, real-time analytics AWS Services Expertise: EC2, S3, RDS, Aurora, Lambda, API Gateway, DynamoDB, ECS, EKS, CloudFront, Route53, VPC, IAM, CloudWatch, CloudTrail, Glue, Kinesis, SageMaker, Bedrock, WAF, KMS, Terraform, Docker Proven Results: ✔ Reduced AWS costs by 35% for telecom infrastructure migration ✔ Optimized video platform infra saving $7K/month in CDN + storage ✔ Migrated 20+ production workloads with zero downtime ✔ Designed secure, compliant AWS architecture for enterprise deployments ✔ Built automated DevOps pipelines reducing deployment time by 70% Why Hire Me: ⭐ Deep AWS expertise (Advanced Tier Partner certified) ⭐ Hands-on experience with enterprise workloads ⭐ Security-first architecture by design ⭐ Cost-conscious optimization without sacrificing performance ⭐ Clear architecture documentation + ongoing support ⭐ Business-focused – align cloud solutions with business goals Services: AWS architecture design, migration planning, cost optimization audit, landing zone setup, DevOps automation, infrastructure security review, compliance implementation, disaster recovery planning. Need AWS architecture advice, migration strategy, or cost optimization? Message me for a quick audit + architecture recommendation call.

  • AWS CloudFront
  • Amazon Web Services
  • Docker
  • DevOps
  • Terraform
  • Backup & Migration
  • Migration
  • Cloud Computing
  • AWS Lambda
  • AWS Fargate
  • AWS CloudFormation
  • AWS Development
  • AWS Server Migration
  • Amazon S3
  • Amazon EC2
  • Amazon ECS
  • Amazon RDS
  • Amazon Bedrock
  • Amazon Aurora
  • Amazon Redshift
Ahmed Kumail P.

Karachi, Pakistan

$40/hr
4.6
65 jobs

🥇 Trusted by founders from renowned incubators and accelerators such as 𝙔-𝘾𝙤𝙢𝙗𝙞𝙣𝙖𝙩𝙤𝙧, 𝙁𝙪𝙩𝙪𝙧𝙚𝙇𝙖𝙗𝙨, 𝙍𝙚𝙥𝙪𝙗𝙡𝙞𝙘 𝙤𝙛 𝙒𝙤𝙧𝙠, 𝙖𝙣𝙙 𝙁𝙤𝙪𝙣𝙙𝙚𝙧𝙨𝙁𝙖𝙘𝙩𝙤𝙧𝙮 💸 €𝟭+ 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 in funding 𝗿𝗮𝗶𝘀𝗲𝗱 by partner founders who chose my development expertise ✅ 𝟳+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 ✅ 40+ Projects ✅ Native English Communication Skills ⚡ Rapid Delivery | ☎ On-Demand Support ✅ 40+ Successfully Completed Projects ⭐️ 1000+ hours worked 📞 Experience the difference with a 𝙣𝙤-𝙘𝙤𝙨𝙩 30-𝙢𝙞𝙣𝙪𝙩𝙚 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻 designed just for you! Hello! 👋 I'm a skilled Senior Full-stack Engineer with 7+ years of hands-on experience. Specializing in SaaS app development, I've partnered with startup founders from leading incubators & accelerators worldwide, including Kayna (Kayna recently secured €1 million in funding following the completion of our initial development phase), Y-Combinator and FoundersFactory ➤ Core Technical Aptitudes: Frontend Development: ☑ Frameworks & Libraries: React.js (including Redux, Redux-Thunk/Saga, Formik), Next.js, Vue.js, Nuxt.js ☑ Languages & Technologies: ES6/7/8, TypeScript, D3.js, HTML5, CSS3 (LESS, SASS), TailwindCSS, Styled-components, Twig, Canvas ☑ UI/UX Tools: Figma, Zeplin, Adobe XD, Sketch, InVision UI Frameworks: Bootstrap, Material UI, Kendo UI, Ant Design, Chakra UI Backend Development: ☑ Languages & Frameworks: Node.js (Express.js, Nest.js), Python (Django, Flask), PHP (Drupal, Laravel, Codeigniter), C# (ASP.NET), GraphQL/Apollo ☑ Tools: Webpack, Gulp, TravisCI Database & ORM: ☑ Databases: MySQL, PostgreSQL, MongoDB, Firebase Cloud Firestore, AWS DynamoDB ☑ ORM Libraries: TypeORM, Prisma, Sequelize, Mongoose, Entity Framework Cloud & DevOps: ☑ AWS Services: S3, EC2, Amplify, Lambda, API Gateway, SQS, SNS, Textract, Quicksight, VPC, RDS, Cloudfront, and more ☑ Other Platforms: Digital Ocean, Azure, Google Cloud Platform, Heroku Testing & Payment Integration: ☑ Testing Tools: Jest, Mocha, Cypress, unittest ☑ Payment Services: Stripe, PayPal, Apple Pay, Google Pay, and more Advantages of partnering with me: ✅ I'll handle all the technical challenges for you, freeing up your schedule to focus on serving your clients, pursuing your passions, and cherishing moments with your family. ✅ Your project's triumph is paramount to me, and I'm committed to employing every effort necessary to provide you with a successful solution. ✅ You'll have direct access to contact me for 12 hours every day. ✅ Expect responses to technical inquiries or issues within one hour during working hours. What can I deliver 📦 with perfection. 🎯 Create high-quality landing pages, that will WOW your audience and exponentially increase conversions. 🎯 Create applications that require a logical approach to programming, such as a smart decision tree stepper, or a form-heavy page. 🎯 Lead a remote development team, utilising task management tools and the latest software development technologies. 🏅 Client Reviews that Speak for Themself. "Kumail is hard-working, fast and never skips on the quality of his work. I had a great time working with him, and will definitely recommend him to anyone looking to hire a highly experienced React developer" "Kumail stands out from the crowd, he really knows his craft well and very willing to go above and beyond. He's also patient and great at communicating. I'll hope to work with him again." If you're serious about getting quick prototypes up and running, or even looking to polish your existing large-scale application, hiring me will be the best decision you would make❕ 𝗚𝗿𝗲𝗲𝗻𝗳𝗶𝗲𝗹𝗱 𝗔𝗽𝗽 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 / 𝗖𝘂𝘀𝘁𝗼𝗺 𝗔𝗽𝗽 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 ✅ Full Stack Development for Marketplaces and Booking platforms ✅ Full Stack Developer for Admin Panel Development ✅ Full Stack Development for Livestream and Live video / call / chat platforms ✅ Full Stack Development with SaaS Integrations ✅ Full Stack Development with E-Commerce ✅ Full Stack Development with Marketing Pages ✅ Full Stack Development for High Conversion Landing Pages ✅ Full Stack Development for Stock or Crypto Solutions ✅ Full Stack Development for LLM / OpenAI / ChatGPT Solutions ✅ Full Stack Development for Real Estate Platform ✅ AWS Cloud Development for Robust End to End Systems ✅ AWS Cloud Development for High Performance Applications …𝗮𝗻𝗱 𝗺𝗼𝗿𝗲! With so many inexperienced developers, recent boot-camp graduates, and code monkeys sending job proposals left and right, the freelancer hiring process can be cumbersome. 😣 Allow me to make things easy for you, by enabling you to get the BEST 👌freelancer experience you can get from a web developer on Upwork. 📣 - Reach out and let's figure it out together :)

  • AWS CloudFront
  • Amazon Web Services
  • Landing Page
  • Node.js
  • HTML5
  • CSS 3
  • JavaScript
  • ExpressJS
  • AWS Amplify
  • React
  • Next.js
  • Front-End Development
  • GraphQL
  • Firebase
  • Redux Saga
  • AI Chatbot
Sheeba D.

Calicut, India

$40/hr
5.0
178 jobs

IoT Consulting, IoT solution development, IoT Prototype development, IoT Minimum Viable Product ( MVP ) development since 2014. 100+ IoT projects completed Served clients from over 20 countries Over 30000 hours in IoT projects With over a decade of experience and a proven track record of delivering 100+ successful IoT projects, we're your partners in innovation. Our team of IoT enthusiasts, embedded engineers, and web/mobile app developers has successfully transformed complex ideas into tangible IoT solutions across diverse industries. We have helped clients optimize operations, reduce costs, and drive growth in a variety of industries. Sensorvision IoT Platform: Our customizable platform excels in device management and data visualization, providing actionable insights. We specialize in IoT Development with the following technologies - ESP32, LoRa, LoRaWAN, BLE, Particle, Mobile app development with React Native IoT use cases - IoT enabled product development, Energy monitoring and management, High value asset monitoring and tracking, Industrial condition monitoring, Smart farming, Hydroponics, Irrigation control, IoT building automation, Smart garments, Rule-based alert systems The IoT applications we have developed used: Hardware platforms used – Particle (Electron, Argon, Boron, Xenon) ESP(ESP8266, ESP32) STM 32 nRF 52 Arduino Raspberry Pi, ATmega and ARM Pycom Controllers Communication networks - Wi-Fi and Cellular (GSM/GPRS) Bluetooth and BLE LoRa, LoRaWAN and LPWAN Zigbee and Zigbee Mesh BACnet and Modbus Sigfox, NRF and MRF transceivers and Ethernet connections. Cloud services - Integration established using HTTP and MQTT protocols AWS cloud - EC2, S3, SNS, AWS IoT, AWS Greengrass, AWS Lambda, Cognito and RDS & Dynamo DB. Azure IoT Particle Device Cloud Google Cloud ThingsBoard IBM Bluemix Clients’ custom cloud platforms Web and Mobile App Development - LAMP, MEAN & MERN stacks Core Technologies – HTML, CSS and JavaScript JavaScript – Node.js, Angular.js, React.js, Vue.js, React Native .NET, Python and Node-RED Ionic and Native App Development Actuators - Solenoid Valves, Relays and LEDs. Hardware communication protocols - UART, SPI, I2C, USART, RS232, RS485, 1-Wire. Sensors Used – GPS based tracking solutions with additional sensor integration IMU sensors (Accelerometer, Gyrometer, Magnetometer) Environmental sensors (Thermocouple, Dht22, Lm35, DS18B20, BMP280, Rain sensors, Leaf wetness sensor, Soil moisture sensor, Water level, Water flow, Ambient light, LDR) Proximity sensors (Ultrasonic, IR, PIR) Detection sensors (Contact, Level, Hall effect sensor, Reed switch, Limit switches) Air quality sensors (OMRON, Sensiron, Co2 Sensors, Dust sensor, VOC, MQ135, CCS811) Vibration sensors, Vibration sensor switch, Tilt sensors Motion sensors (ADXL345, GY521)

  • AWS CloudFront
  • Mobile App Development
  • Azure Cosmos DB
  • Internet of Things Solutions Design
  • Amazon S3
  • LoRa
  • Google Cloud Platform
  • Amazon EC2
  • Firmware Programming
  • PCB Design
  • AWS CloudFormation
  • Progressive Web App
  • STM32
  • API Development
  • ESP32
Vadym V.

Kyiv, Ukraine

$40/hr
5.0
16 jobs

Ready to design and manage robust AWS Cloud Infrastructure. I conduct Well-Architected Framework Reviews (WAFR) in AWS, design architectural diagrams of varying complexities, and document existing infrastructures. I can help optimize your AWS projects for: - Security enhancements and issue mitigation; - Cost optimization audits; - High availability, performance, and scalability; - Resource optimization; - Automation through Python and Bash scripting. My technical expertise extends beyond AWS, encompassing proficiency in Python scripting, Terraform, Docker containerization and orchestration, Linux-based OS, Git, Ansible, deployment of CI/CD tools, and monitoring. I'm excited to collaborate on projects related to AWS and cloud infrastructure! Please feel free to reach out.

  • AWS CloudFront
  • Amazon Web Services
  • Network Architecture
  • Network Security
  • AWS Lambda
  • DNS
  • Linux
  • Python Script
  • Docker
  • Git
  • VPN
  • Terraform
  • AWS Server Migration
  • Amazon ECS
  • Cost Estimate
  • Cost Management
  • NIST Cybersecurity Framework
  • Security Infrastructure

How it works

Post a job for freePost a job

Tell us what you need. Create your own job post or generate one with AI then filter talent matches.

Hire top talent fast

Consult, interview, and hire quickly, so you can meet the freelancers you're excited about.

Collaborate easily

Use Upwork to chat or video call, share files, and track project progress right from the app.

Payment simplified

Manage payments in one place with flexible billing options. Only pay for approved work, hourly or by milestone.

Don't just take our word for it

What does an AWS CloudFront developer do?

An AWS CloudFront developer builds and manages content delivery networks using Amazon CloudFront to serve web assets with low latency. This specialist configures distribution settings to route user requests to the correct origin servers while optimizing cache hit ratios. They write and deploy edge logic to modify HTTP requests and responses before they reach the application backend. The role focuses on tuning performance parameters and securing content through precise policy definitions and function associations.

  • Designs and implements cache behaviors that determine how CloudFront handles different types of content requests. The developer defines specific rules for static assets like images and scripts versus dynamic API calls to maximize efficiency. They configure origin groups to provide failover support if the primary server becomes unavailable. This setup ensures users receive content from the nearest edge location without unnecessary delays or errors.
  • Creates custom cache policies and origin request policies to control exactly what data enters the cache key. These policies dictate which headers, query strings, or cookies influence the caching decision process. By stripping unnecessary data from the cache key, the developer increases the likelihood of cache hits and reduces load on the origin. They attach these policies to specific distribution behaviors to enforce consistent handling across all user requests.
  • Writes and deploys JavaScript code using CloudFront Functions to execute lightweight logic at the network edge. This code runs in response to viewer requests or origin responses to modify headers, rewrite URLs, or generate redirects. The developer tests these functions in a live stage environment using Amazon CloudWatch logs to verify correct behavior. Once validated, they publish the functions and associate them with the appropriate distribution behaviors for production traffic.
  • Manages the invalidation process to remove outdated content from edge caches after updates occur on the origin server. The developer uses the AWS CLI or SDK to submit invalidation requests for specific file paths or entire directories. This action forces CloudFront to fetch fresh content from the origin for subsequent user requests. They also maintain technical documentation that explains the rationale behind each configuration choice and edge function implementation.

How to hire an AWS CloudFront developer on Upwork

Step 1: Post a job

Describe your content delivery 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.

  • Specify requirements for configuring CloudFront distributions, including cache behaviors and origin routing settings.
  • List deliverables such as cache policy definitions and origin request policies that control how data reaches your servers.
  • Request experience with writing and publishing CloudFront Functions to handle edge logic for requests and responses.

Step 2: Evaluate candidates

Look for portfolios that show configured distributions and deployed edge functions. Uma can run instant video interviews and build shortlists with side-by-side comparisons to help you assess technical fit.

  • Check for examples of cache invalidation workflows that refresh content after origin updates.
  • Verify experience using AWS CLI or SDKs to manage distribution configuration changes.
  • Review documentation they authored for CloudFront configuration and edge behavior rationale.

Step 3: Interview your top choices

Discuss specific strategies for optimizing cache hit ratios and reducing latency. Interviews can be scheduled and conducted within Upwork Messages with an immediate transcript and summary after each one.

  • Ask how they test CloudFront Functions before associating them with live distributions.
  • Discuss their approach to defining cache keys using origin request policies.
  • Explore their method for monitoring edge function logs using Amazon CloudWatch.

Step 4: Agree on scope and begin work

Define milestones for distribution setup, policy creation, and function deployment. 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 a milestone for submitting source code for CloudFront Functions and associating them with behaviors.
  • Agree on a deliverable for scripts that trigger cache invalidations when origin content changes.
  • Require technical documentation that explains the chosen cache policies and routing logic.

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 CloudFront developer cost?

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

Cache policy configuration

$500-$1,200/project

Entry-level to mid-level
  • Cache and origin request policies attached to behaviors
  • Configured cache behaviors and origin routing
  • Notes on cache key controls and rationale

Edge function development

$1,200-$3,000/project

Mid-level
  • CloudFront Functions source for request handling
  • Published functions associated with distributions
  • Validation results from live stage logs

Origin integration setup

$3,000-$5,500/project

Mid-level to senior-level
  • Configured origins with failover routing rules
  • Applied SSL/TLS and access restriction settings
  • Diagram of origin paths and behavior mappings

Invalidation automation

$5,500-$8,000/project

Senior-level
  • CLI or SDK scripts for cache invalidation
  • Triggers linked to content deployment pipelines
  • Instructions for manual and automated runs

Full distribution architecture

$8,000-$12,000/project

Expert-level
  • CloudFormation templates for full stack deployment
  • Complex Lambda@Edge or Functions implementation
  • Comprehensive documentation of CDN strategy

Frequently asked questions

Is hiring an AWS CloudFront developer worth it?

For most businesses, yes: hiring an AWS CloudFront developer is worthwhile. This specialist configures cache behaviors and writes edge logic to reduce latency for global users. They also manage invalidation workflows to keep content fresh without overloading your origin servers.

How do I evaluate AWS CloudFront developer candidates?

Look for candidates who explain how they attach CloudFront Functions to specific cache behaviors to modify requests at the edge. Ask them to describe a time they used cache policies to optimize hit ratios while maintaining data accuracy for dynamic content.

What is the difference between CloudFront Functions and Lambda@Edge?

CloudFront Functions run lightweight JavaScript code at the network edge for high-throughput tasks like header manipulation. Lambda@Edge supports heavier compute workloads and multiple runtimes but introduces higher latency due to cold starts.

How does an AWS CloudFront developer handle cached content updates?

The developer submits invalidation requests through the AWS CLI or API to remove stale objects from edge locations. This action forces CloudFront to fetch the latest version from your origin server on the next user request.