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AWS Engineering Company

Hire Top 2% AWS Engineers Deployed in Under 100 Hours Who Design and Operate Production Cloud Infrastructure

Scale your cloud infrastructure with pre-vetted AWS engineering talent. Our AWS engineering services already power dozens of active engagements. We typically deploy engineers within 100 hours, so you can start building and operating production-grade AWS infrastructure fast.

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AWS Engineering Services We Provide

AWS Cloud Architecture & Infrastructure Design

AWS's breadth of managed services, global availability zones, and mature tooling ecosystem make it the world's most widely adopted cloud platform for building scalable, secure, and cost-efficient production infrastructure.

We design AWS architectures tailored to your workload requirements, growth trajectory, and operational constraints. From VPC design and account structure strategy to service selection and cost modeling, we work closely with your team using tools like Terraform, AWS CDK, and CloudFormation to deliver infrastructure built for long-term production reliability.

AWS Migration Services

Move your on-premises systems, legacy infrastructure, or workloads from other cloud providers to AWS without disrupting your operations.

We assess your existing environment, define a phased migration strategy, and execute the transition using AWS migration tooling and proven rehost, replatform, and re-architect patterns. From database migrations with AWS Database Migration Service to large-scale application migrations using the AWS Migration Hub, we ensure a clean handoff to AWS with minimal downtime and no data loss.

Kubernetes & EKS Engineering

Deploy and operate containerized workloads on Amazon Elastic Kubernetes Service with the reliability and scalability your production systems demand.

We design, implement, and operate EKS clusters — handling node group configuration, IAM roles for service accounts, auto-scaling, networking with VPC CNI, and CI/CD integration. Whether you're migrating from a monolith to containers or scaling an existing Kubernetes environment across multiple regions, we deliver EKS infrastructure that runs reliably without constant engineering intervention.

Serverless & Lambda Development

Build event-driven, cost-efficient systems that scale automatically without managing servers or clusters.

We design and implement serverless architectures using AWS Lambda, API Gateway, EventBridge, and Step Functions with a focus on reliability, observability, and cost optimization. From microservices decomposition to fully serverless application backends, we deliver AWS serverless systems that perform consistently at scale without the overhead of managing compute infrastructure.

Data Engineering & Analytics on AWS

Build scalable data pipelines, warehousing, and analytics platforms on AWS that turn raw data into reliable business intelligence.

Using Redshift, Glue, Kinesis, EMR, and AWS Lake Formation, we design and implement data infrastructure that ingests, processes, and surfaces data at scale. From real-time streaming pipelines to batch processing architectures and Redshift-based analytics platforms, we deliver AWS data infrastructure that supports both operational analytics and machine learning workloads.

AWS Security & Compliance Engineering

Build cloud environments that meet enterprise security standards and regulatory compliance requirements on AWS.

We implement AWS security best practices across IAM, AWS Organizations, Security Hub, GuardDuty, and CloudTrail — aligned with compliance frameworks including SOC 2, HIPAA, PCI-DSS, and ISO 27001. From AWS Config rules and Service Control Policies to encryption key management with KMS and secrets management with Secrets Manager, we ensure your AWS environment is secured and auditable at every layer.

AWS Cost Optimization

Eliminate cloud waste and right-size your AWS spend without sacrificing performance or reliability.

We audit your existing AWS environment, identify cost inefficiencies across EC2, RDS, S3, data transfer, and managed services, and implement targeted optimizations using Reserved Instances, Savings Plans, right-sizing recommendations, and architectural improvements. Our AWS cost optimization engagements consistently deliver measurable reductions in monthly spend with no degradation to system performance.

CASE STUDY

Camperoni partnered with Rocketeams to quickly scale their team and accelerate product development. Within 72 hours, three pre-vetted backend engineers were presented, and the selected candidate joined within a week. Following a successful trial, the partnership expanded to include content, design, and social media support, helping Camperoni increase product output and support its growth. Read the entire Camperoni case study.

React Xamarin
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Why Choose Rocketeams for AWS Engineering

1. Robust Security & Compliance Standards

Our AWS engineers prioritize security and compliance at every layer — implementing IAM least-privilege policies, VPC isolation, encryption at rest and in transit with KMS, and automated compliance monitoring with AWS Config and Security Hub. We align with enterprise security frameworks and regulatory requirements from the start, not as an afterthought. We enforce strict NDAs to protect your confidentiality and infrastructure details throughout every engagement.

2. Custom Solutions

We design AWS environments tailored to your specific workload requirements, operational maturity, and business objectives — not generic reference architectures applied without context. Delving deep into your existing infrastructure, team capabilities, and growth trajectory, we deliver cloud solutions that fit your actual environment. The result is infrastructure your team can operate, extend, and trust.

3. Pre-Vetted, Timezone-Aligned Talent

Gain access to highly skilled AWS engineers who have designed, built, and operated real cloud environments at scale and are aligned with your working hours. Our matching process ensures you get the right profile — solutions architect, data engineer, DevOps specialist, or cloud security engineer — matched to your actual AWS footprint. Real-time collaboration leads to faster delivery and fewer costly architectural mistakes.

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The AWS Ecosystem We Used in Previous Work

Compute & Container Services

Core AWS compute services for running applications, containers, and serverless workloads at any scale.

  • Amazon EC2
  • Amazon EKS
  • Amazon ECS / Fargate
  • AWS Lambda
  • AWS Batch
  • AWS App Runner

Storage & Database Services

AWS storage and database services for scalable, high-performance, and fully managed data persistence.

  • Amazon S3
  • Amazon RDS / Aurora
  • Amazon DynamoDB
  • Amazon ElastiCache
  • Amazon DocumentDB
  • Amazon Redshift

Networking & Content Delivery

AWS networking services for building secure, high-performance, and globally distributed infrastructure.

  • Amazon VPC
  • AWS Elastic Load Balancing
  • Amazon CloudFront
  • Amazon Route 53
  • AWS WAF & Shield
  • AWS Direct Connect

Data & Analytics

AWS services for building scalable data pipelines, warehouses, and real-time analytics platforms.

  • Amazon Redshift
  • AWS Glue
  • Amazon Kinesis
  • Amazon EMR
  • AWS Lake Formation
  • Amazon Athena

AI & ML Platform

AWS managed services for building, training, deploying, and monitoring machine learning models at scale.

  • Amazon SageMaker
  • AWS Bedrock
  • Amazon Rekognition
  • Amazon Comprehend
  • Amazon Textract
  • Amazon Polly / Transcribe

Security & Identity

AWS services and tooling for managing access, enforcing security policies, and maintaining compliance.

  • AWS IAM & IAM Identity Center
  • AWS Organizations & SCPs
  • AWS KMS
  • AWS Security Hub
  • Amazon GuardDuty
  • AWS Secrets Manager

Infrastructure as Code & Automation

Tools for defining, provisioning, and managing AWS infrastructure programmatically and repeatably.

  • Terraform (AWS Provider)
  • AWS CDK
  • AWS CloudFormation
  • Pulumi
  • Ansible
  • AWS Systems Manager

CI/CD & DevOps

Tools and AWS-native services for automating delivery pipelines and deploying to AWS reliably.

  • AWS CodePipeline
  • AWS CodeBuild / CodeDeploy
  • GitHub Actions
  • GitLab CI/CD
  • ArgoCD
  • Spinnaker
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Key Things to Know About AWS

AWS is the world's largest and most mature cloud platform, with over 200 fully managed services, the broadest global footprint of availability zones and regions, and more than a decade of proven enterprise adoption. Companies choose AWS because it offers the deepest service ecosystem, the most mature security and compliance tooling, and the largest community of engineers, third-party integrations, and documented best practices of any cloud provider. Whatever you need to build, AWS has a purpose-built managed service for it.

AWS is used to host and operate web applications, run containerized microservices on EKS and ECS, build serverless backends with Lambda and API Gateway, process and analyze data at scale with Redshift and Kinesis, train and deploy machine learning models on SageMaker, and build globally distributed systems across AWS's worldwide network of regions and availability zones. It is the dominant cloud platform for startups, enterprises, and everything in between.

AWS is used by engineering teams across every industry — fintech, healthcare, e-commerce, media, SaaS, logistics, and government — who need a cloud platform with exceptional service depth, mature compliance tooling, and a global infrastructure they can rely on. Netflix, Airbnb, Slack, and NASA all run significant infrastructure on AWS. It's the default cloud choice for teams that want access to the broadest possible set of managed services with the deepest ecosystem support.

AWS's global infrastructure — spanning dozens of regions and hundreds of availability zones — gives engineering teams the ability to build highly available, fault-tolerant systems that remain accessible even when individual data centers experience issues. Its shared responsibility model, extensive IAM system, and compliance programs covering over 140 security standards make it the most complete cloud platform for regulated industries. The depth of its managed service catalog means teams can offload the undifferentiated heavy lifting of infrastructure and focus engineering effort on product.

AWS's managed services — RDS, ElastiCache, SQS, SNS, Lambda, and hundreds more — eliminate the need to build and maintain infrastructure primitives from scratch. Combined with Terraform's mature AWS provider and AWS CDK for infrastructure-as-code, teams can provision production-ready environments in hours. AWS's breadth means that whatever your next infrastructure requirement is, there is almost certainly a managed service that handles it, and an experienced AWS engineer who has already deployed it in production.

Tailored Solutions for Every AWS Project

Staff Augmentation

Add Top 2% AWS Engineers to Your In-House Teams

Staff augmentation is ideal for companies with existing engineering or infrastructure teams. Want to accelerate cloud delivery and access specialized AWS depth? Our engineers integrate seamlessly with your in-house team, aligning with your AWS environment, IaC tooling, and operational cadence to increase velocity and deliver faster.

Here's how we augment your team:

STEP 1

Discovery Call

We start by understanding your AWS service footprint, workload types, operational needs, and engineering gaps. This allows us to match the right profile — solutions architect, DevOps engineer, data engineer, or cloud security specialist — to your specific AWS environment.

STEP 2

Assembling Your Team

We select the best-fit AWS engineers for your team, evaluating not only technical depth and production track record but also communication skills and cultural alignment with your engineering organization.

STEP 3

Onboarding and Scaling

We assist with onboarding your new engineers so they get up to speed on your AWS environment fast and start contributing immediately. From there, you have full control to manage and scale the team as your infrastructure requirements evolve.

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Frequently Asked Questions (FAQ)

AWS engineering services cover designing, building, migrating, and operating cloud infrastructure on Amazon Web Services — including architecture design, EKS and serverless systems, data pipelines, security and compliance, cost optimization, and DevOps automation. Any cloud engineering work that leverages AWS to solve an infrastructure or product problem falls under this umbrella.

Experienced AWS engineers with real multi-service architecture experience, cost optimization expertise, and production security configurations across regulated environments are scarce and expensive locally. Outsourcing gives you pre-vetted specialists matched to your actual AWS footprint at significantly lower cost and faster timelines than local hiring.

Look for a partner who vets for production AWS depth, multi-service architecture experience, IaC proficiency, and real operational experience — not just certification holders. A credible partner matches engineers to your specific service footprint and offers a risk-free trial before any financial commitment.

An AWS engineer designs, provisions, and operates cloud infrastructure on Amazon Web Services — handling architecture decisions, IaC development, CI/CD pipeline automation, security configuration, cost management, and production operations. Depending on specialization this includes solutions architects, DevOps engineers, data engineers, and cloud security engineers.

AWS offers the broadest service catalog, the most mature ecosystem of third-party integrations, the largest global infrastructure footprint, and the deepest compliance and security tooling of any cloud provider. For teams that want access to the most complete set of managed services and the largest community of engineers and documentation, AWS is the default choice.

Yes. AWS's pay-as-you-go pricing, startup credits via AWS Activate, and managed services make it accessible from day one. Getting the account structure, IAM model, and networking right early prevents expensive rework at scale. Early-stage teams that bring in experienced AWS engineers build on a foundation that grows with them without architectural rewrites.

AWS provides enterprise-grade security through IAM, AWS Organizations, KMS, GuardDuty, Security Hub, and WAF. AWS's shared responsibility model secures the underlying infrastructure while your engineers configure and secure what runs on it. With the right architecture, policy implementation, and monitoring in place, AWS environments meet the most demanding compliance requirements including HIPAA, SOC 2, and PCI-DSS.

Yes. AWS powers some of the highest-traffic applications on the internet — Netflix, Airbnb, and the majority of the Fortune 500 run significant infrastructure on AWS. With EKS auto-scaling, Aurora global databases, CloudFront CDN, and AWS's global availability zone architecture, it handles enterprise-scale workloads with reliability at a global level.

On AWS you can build web application hosting environments, containerized microservices on EKS and ECS, serverless backends with Lambda, Redshift-powered analytics platforms, SageMaker ML pipelines, real-time Kinesis event systems, globally distributed databases with Aurora Global, and secure multi-account enterprise environments using AWS Organizations. If it runs in the cloud, it can run on AWS.

It starts with a discovery call to align on your AWS service footprint, workload requirements, and engineering gaps, followed by matched engineer profiles tailored to your specific environment. A risk-free trial lets you validate fit before any financial commitment, and engineers integrate into your existing infrastructure workflow from day one.

Timezone alignment is essential — infrastructure incidents and deployment issues don't wait for async responses. Clear escalation paths, shared runbooks, and dedicated partner oversight keep communication clean across cloud operations. The right partner also screens AWS engineers for communication skills during vetting, so operational collaboration is effective from day one.

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