Hire in days, not months

Hire AWS Developers

Build and modernize AWS infrastructure with cost-aware cloud engineers at $25/hour.

Get AWS developers for Lambda, RDS, ECS, EKS, S3, CloudFormation, Terraform, migrations, observability, and production infrastructure work.

Get AWS Profiles

Trust and delivery controls

AWS delivery governance for production infrastructure

Keep cloud changes controlled with least-privilege access, reviewed IaC, rollback planning, and monitoring expectations.

Controls before kickoff

Scope, access, ownership, and communication expectations are clarified before work starts.

Shortlist target

3-5 business days

Work focus

AWS + IaC + ops

Rate anchor

$25/hour

Vetted for practical delivery

AWS Developer candidates are checked against real implementation, communication, and ownership scenarios.

Vetted

NDA and IP protection

Engagements include confidentiality terms, source-code ownership clarity, and least-privilege access.

Protected

Quality gates before release

Pull requests, tests, and release notes are reviewed against the risk profile of the work.

Controlled

Timezone-aware collaboration

Overlap windows, async updates, and written handoffs keep distributed teams aligned.

Aligned

Replacement path if fit changes

If the engagement shape changes, transition planning protects sprint continuity.

Continuity

Talent pool preview

Vetted AWS Developer profiles ready to interview

Review a balanced shortlist with specialist, senior, and principal depth so you can hire for immediate delivery and long-term technical leadership.

View more profiles

Noman C.

Senior AWS Developer

Vetted

8 years

Role-matched

AWS LambdaTerraformDynamoDBAPI Gateway

Led the serverless migration for a high-traffic SaaS platform, reducing infrastructure costs by 45% while improving scalability and deployment speed.

Ali R.

AWS Developer

Vetted

6 years

Role-matched

Amazon EC2RDSCloudFormationS3

Built a highly available ecommerce backend on AWS, implementing multi-region disaster recovery and maintaining 99.99% uptime during peak sales.

Ahsan G.

Principal AWS Developer

VettedArchitect

12 years

Role-matched

Cloud ArchitectureAWS CDKSecurityCI/CD

Architected a secure enterprise cloud platform with multi-account delivery using AWS CDK, improving release frequency by 35% and ensuring strict compliance.

Need a wider shortlist?

We can share additional aws developer profiles by seniority, timezone, and domain fit.

Engagement models

Choose the model that matches your delivery pressure

Start lean for focused support or scale into a pod when roadmap pressure, QA, and coordination needs increase.

Pricing anchor

All priority hire engagements are scoped around $25/hour delivery with transparent capacity planning.

Part-time AWS support

Best for focused backlog support, audit work, and steady delivery without full-time commitment.

Starts from $2,000 / month at $25/hour

Best for: IaC, cost reviews, and cloud backlog work

20-25 hrs/week
Weekly planning and reporting
Scoped sprint support

Dedicated QA, infrastructure, and third-party tools are scoped separately.

Get Started

Full-time AWS developer

Recommended

Best for active roadmap work where one specialist owns delivery across consecutive sprints.

Starts from $4,000 / month at $25/hour

Best for: Ongoing AWS platform ownership

40 hrs/week
Sprint-level ownership
Daily delivery updates

Platform fees, paid tools, and specialized audits are billed separately.

Get Started

AWS cloud delivery pod

Best for launch windows, parallel workstreams, and teams that need coordination plus execution.

Starts from $12,000 / month with $25/hour engineering rates

Best for: Migration or modernization programs needing dev, QA, and PM support

Developer + QA + PM coordination
Parallel sprint execution
Release orchestration support

Compliance reviews and security audits are scoped separately when required.

Get Started

Hiring process

From AWS scope to controlled cloud delivery

The process validates infrastructure risk, migration needs, security expectations, and operational ownership.

Typical kickoff window

Most teams can start with selected talent in 7-14 days.

The process reduces risk by validating role fit, ownership level, communication style, and delivery context before kickoff.

1
Cloud goal alignment and scope
Step 1
We map your cloud objectives, technical requirements, and budget goals to define role scope and success metrics.
Day 1-2
2
Shortlist with relevant AWS context
Step 2
Review candidates with prior experience in similar cloud domains, architecture patterns, or scale constraints.
Day 2-5
3
Technical validation with AWS scenarios
Step 3
Interviews test AWS implementation logic, IaC depth, and cloud-specific tradeoff handling.
Day 5-10
4
Onboarding and cloud sprint integration
Step 4
Selected engineers join your workflows with clear ownership and immediate first-sprint goals.
Day 7-14

Why teams hire through Codexty

AWS talent selected for cost-aware production operations

You get engineers who balance cloud speed with security, repeatability, observability, and budget discipline.

Best-rate positioning with quality controls

Competitive $25/hour delivery paired with vetting, governance, and release discipline.

Typical kickoff

7-14 days

Delivery focus

Cloud + IaC

Rate

$25/hour

Fast ramp for aws developer work

Specialists join with clear scope, tool context, and first-sprint priorities.

Speed

Delivery standards before velocity

Speed is paired with code review, testing discipline, and documented tradeoffs.

Quality

Role-specific evaluation

Shortlists are matched to the stack, domain, and ownership level your roadmap requires.

Fit

Works inside your process

Talent adapts to your sprint cadence, ticketing, code review, and release workflow.

Integration

Built for shipping, not resumes

The goal is production contribution, not a long candidate screening loop.

Execution

Security-aware onboarding

Access, environments, and sensitive workflows are handled with practical guardrails.

Secure

Role-specific delivery scope

AWS delivery lanes for migration, serverless, infrastructure, and cost control

Use AWS specialists to improve cloud reliability, reduce manual operations, and modernize infrastructure safely.

Cloud migration and modernization

Application migration planning

Move workloads from legacy hosting or monolith infrastructure to AWS with staged cutovers and rollback planning.

RDS and data service setup

Configure RDS, backups, read replicas, access controls, and migration paths for production data systems.

Container platform delivery

Deploy services on ECS or EKS with environment separation, secrets management, and deployment controls.

Serverless and automation

Lambda and event-driven workflows

Build serverless jobs, integrations, webhooks, file processing, and async workflows with observability.

Infrastructure as Code

Define repeatable environments with Terraform or CloudFormation so infrastructure changes are reviewable.

Operations automation

Automate backups, alerts, cost reports, deployment tasks, and environment setup to reduce manual effort.

Reliability, security, and cost

Cloud cost review

Identify waste in compute, storage, networking, and managed services with a practical optimization backlog.

Security guardrails

Improve IAM, network boundaries, secret handling, logging, and least-privilege access for production systems.

AI-assisted cloud delivery

Use AI for IaC scaffolding, documentation, and runbook drafts while engineers review every operational change.

Production stack

AWS stack choices for serverless, containers, data, and reliable operations

Stack planning covers compute, databases, networking, IaC, observability, security, and cost controls.

AWS Lambda

Amazon EC2

Amazon ECS/EKS

AWS Fargate

Amazon S3

Amazon RDS

Amazon DynamoDB

Amazon Aurora

Terraform

AWS CloudFormation

AWS CDK

Amazon VPC

AWS IAM

Amazon API Gateway

AWS WAF

AWS CodePipeline

Amazon CloudWatch

GitHub Actions

Docker

Hiring readiness

AWS hiring playbook for migration, IaC, and reliable cloud operations

Evaluate AWS talent by infrastructure design, security judgment, deployment discipline, and cost awareness.

Role scope Interview playbook Business impact

Responsibilities / Role Scope

Owns

Cloud-native feature implementation with high reliability standards
Infrastructure as Code and environment automation
Cloud cost optimization and performance monitoring
Security and compliance implementation for cloud workloads

Collaborates on

Product teams to define cloud roadmap and service feasibility
Backend engineers for efficient data layer and API design
DevOps teams for secure deployment and release orchestration
Security teams for risk assessment and compliance audits

Interview Questions

Structured by level for consistent and faster interviewer calibration.

junior

Fundamentals and execution reliability

What is the difference between an EC2 instance and a Lambda function?
What is S3 and what are its common use cases?
How do you secure an AWS account using IAM?
What is the purpose of a VPC?

mid

Delivery ownership and decision quality

How do you manage application state in a serverless architecture?
What are the benefits of using DynamoDB over a relational database?
How do you implement CI/CD for AWS Lambda functions?
How do you optimize AWS costs for a high-traffic application?
How do you handle cross-account access in AWS?

senior

Architecture, risk control, and leadership

How do you architect a multi-region, highly available system on AWS?
How do you design a secure and scalable microservices architecture using EKS?
How do you approach a large-scale data migration to AWS with zero downtime?
How do you define and enforce security guardrails across multiple AWS accounts?
How would you optimize a complex data processing pipeline using AWS Step Functions and SQS?

Why Outsource This Role

Faster qualified kickoff

Move from role brief to sprint-ready contribution without running a full recruiting cycle.

Typical infrastructure assessment: first week

Cost control at $25/hour

Add AWS cloud capacity at $25/hour while keeping infrastructure decisions tied to cost, risk, and reliability.

Transparent rate: $25/hour

Lower delivery risk

Use scoped responsibilities, review gates, and release-ready handoffs to reduce rework.

Planning target: fewer manual cloud changes over 2-3 sprints

AI-assisted delivery when useful

Use AI to draft IaC modules, runbooks, and migration checklists while engineers validate security and operational impact.

Applied only where it improves speed, coverage, or cost

Flexible scale path

Start with one specialist and expand to a small pod when roadmap pressure increases.

Scale-up planning window: 2-3 weeks

Benefit	Outcome	Metric
Faster qualified kickoff	Move from role brief to sprint-ready contribution without running a full recruiting cycle.	Typical infrastructure assessment: first week
Cost control at $25/hour	Add AWS cloud capacity at $25/hour while keeping infrastructure decisions tied to cost, risk, and reliability.	Transparent rate: $25/hour
Lower delivery risk	Use scoped responsibilities, review gates, and release-ready handoffs to reduce rework.	Planning target: fewer manual cloud changes over 2-3 sprints
AI-assisted delivery when useful	Use AI to draft IaC modules, runbooks, and migration checklists while engineers validate security and operational impact.	Applied only where it improves speed, coverage, or cost
Flexible scale path	Start with one specialist and expand to a small pod when roadmap pressure increases.	Scale-up planning window: 2-3 weeks

Client stories

Trusted by teams that ship fast

Real feedback from partnerships where we embedded with product teams, accelerated delivery, and stayed accountable to outcomes.

“We needed to scale delivery capacity quickly but were not ready for several full-time hires. Codexty gave us immediate access to vetted talent that integrated into our workflows with minimal ramp-up time. We expanded engineering output while keeping hiring risk and operational overhead under control.”

Chris B.

VP Engineering, Fintech

“Remote collaboration can sometimes create communication gaps, but that was never an issue here. Their engineer participated like an in-house team member, contributed in planning sessions, and maintained high ownership across the full feature lifecycle. We saw measurable throughput improvements without adding management overhead.”

Jennifer W.

Engineering Manager, Marketplace

“We needed to launch a new product line on a fixed deadline, and missing it would have impacted revenue. Codexty helped us reorganize delivery, close technical gaps, and execute with steady weekly progress updates. We shipped ahead of schedule and exceeded our initial activation targets in the first month.”

Lisa R.

Operations Director, Logistics Company

FAQ

Answers to practical decision questions before you hire.

Can AWS developers help with cloud migration?

Yes. They can support migration planning, infrastructure setup, staged cutovers, rollback plans, and production readiness checks.

Do AWS developers work with Terraform?

Yes. We can match AWS talent with Terraform, CloudFormation, ECS, EKS, Lambda, RDS, S3, IAM, and observability experience.

Can we hire AWS programmers for RDS, IAM, EC2, ECS, or CloudFront?

Yes. You can hire AWS programmers, hire AWS cloud developer talent, or bring in specialists for AWS RDS, IAM, EC2, ECS, CloudFront, IoT, CodeDeploy, CDK, and Terraform-backed infrastructure work. Common briefs include hire AWS RDS developers, hire AWS IAM developers, hire Amazon ECS developers, hire Amazon EC2 developers, hire Amazon CloudFront developers, hire AWS IoT developers, hire AWS CDK developers, hire Amazon RDS developers, hire dedicated Amazon RDS developer, and hire Amazon web services developers.

How quickly can we hire AWS developer talent?

Most teams can review a shortlist within a few business days and begin onboarding in 7-14 days after role alignment.

What is the hourly rate for AWS developer talent?

Priority hire pages use a transparent $25/hour rate, with part-time, full-time, and pod options scoped around your delivery needs.

How do you vet candidates before we interview them?

We validate practical delivery experience, communication quality, ownership level, and stack fit before presenting candidates.

Can the engineer work inside our existing tools and process?

Yes. Talent can work in your ticketing, repository, CI/CD, documentation, and communication workflows with clear onboarding guardrails.

Do you use AI during delivery?

AI-assisted delivery is used only when it aligns with customer requirements, improves speed or coverage, and remains under human review.

What if the first match is not the right fit?

We define a replacement path early so fit issues can be handled without losing sprint continuity or project context.