AWS development services from senior cloud engineering teams

Ryz AWS development teams design and build applications on AWS: serverless back ends, containerized services on ECS or EKS, event-driven systems, data platforms and AI workloads on Amazon Bedrock, all in your AWS accounts and defined in Terraform or the AWS CDK. Our engineers come from the top 1% of the people we interview and work on US business hours with same-day code review. You get a dedicated team that owns a build, or senior AWS engineers who work on your team.

What we build

• Serverless back ends: API Gateway or AppSync in front of Lambda, DynamoDB and Step Functions, for APIs and workflows that scale to zero and need little operating effort.
• Container platforms: services on ECS with Fargate for most teams, or EKS when you need Kubernetes, behind Application Load Balancers with autoscaling and blue-green deploys.
• Event-driven systems: EventBridge, SNS, SQS and Kinesis pipelines that decouple services, with dead-letter queues, replay and idempotent consumers.
• Data platforms: S3 data lakes with Glue, Athena, Lake Formation and Redshift, or streaming with Kinesis and Amazon MSK, feeding analytics and machine learning.
• AI workloads on AWS: applications on Amazon Bedrock with Knowledge Bases, guardrails and model access controlled by IAM, built by engineers who also know Bedrock in depth. For full AI builds, see our AI development services.
• Multi-account foundations: AWS Organizations, Control Tower, IAM Identity Center, service control policies and centralized CloudTrail and Config logging.
• Infrastructure as code: Terraform modules or AWS CDK stacks for every resource, with CI pipelines that plan on pull requests and apply on merge.
• Cost and performance tuning: Graviton migration, Savings Plans analysis, S3 lifecycle policies, Lambda memory tuning and rightsizing of RDS and EC2.

How an engagement works

Talk. We go through what you are building, your current AWS footprint, account structure, compliance needs and whether you prefer Terraform, CDK or CloudFormation.

Match. We propose engineers whose AWS experience fits the work: serverless and DynamoDB modeling, EKS operations, or data engineering on Glue and Redshift are different specialties.

Join. Engineers get least-privilege access through IAM Identity Center, work in your repos and pipelines, and join standups and weekly demos.

Grow. Add data, ML or security engineers as the system grows, or hand over a documented, tested stack.

In week 1, the team typically reviews your accounts, IAM, networking and existing infrastructure code, and writes up the target architecture. By month 1, the core infrastructure is in code and the first services run in a non-production account through CI. By month 3, the usual picture is production workloads with alarms, dashboards, cost tags and a Well-Architected review of what was built.

The stack our teams work in

How we keep AWS systems secure and cost-effective

The common AWS failures are well known: overly broad IAM policies, public S3 buckets, surprise bills from NAT gateways or runaway Lambdas, single-AZ databases and resources nobody can trace back to code. Our teams build to the AWS Well-Architected Framework and guard against these specifically:

• Least-privilege IAM. Roles scoped per service with IAM Access Analyzer to find unused permissions. No wildcard actions on production resources, and no IAM users with long-lived keys.
• Guardrails at the organization level. Service control policies block disabling CloudTrail, creating public buckets or using unapproved regions, so mistakes are prevented rather than detected.
• Everything in code. Resources outside Terraform or CDK are flagged by AWS Config or drift detection, then imported or removed.
• Resilience by design. Multi-AZ databases and services, tested backups with AWS Backup, and timeouts and retries with jitter between services.
• Serverless pitfalls handled. Lambda concurrency limits, idempotent handlers for at-least-once delivery, dead-letter queues and alarms on throttles and iterator age.
• DynamoDB modeled for access patterns. Partition keys designed to avoid hot partitions, and on-demand or provisioned capacity chosen from real traffic.
• Cost visibility. Mandatory tags, AWS Budgets alerts per account, VPC endpoints to cut NAT data charges, and regular reviews of Cost Explorer with the team that owns the spend.
• Compliance experience. Engineers have experience working within SOC 2, HIPAA and PCI DSS requirements, using encryption, logging and access controls those standards expect.

Team shapes and cost

Typical Ryz cost is $7,000 to $15,000 per engineer per month. Mid-level engineers are $7,000 to $10,000, senior engineers are $10,000 to $15,000, and leads are $15,000 or more, quoted per team.

• AWS pair: 2 senior AWS engineers × $10,000 to $15,000 = $20,000 to $30,000 per month. Fits a new serverless service or a set of infrastructure improvements.
• Build team: a tech lead ($15,000+) plus 3 senior engineers across back end and cloud ($30,000 to $45,000) = from $45,000 per month. Fits a new product or platform on AWS.
• Platform and data team: a lead plus 5 senior engineers across cloud, data and DevOps: $15,000+ plus $50,000 to $75,000 = from $65,000 per month.

Every quote is scoped per team. You get a plan, a price and the names of the people before you start. See AWS developer rates by seniority.

Dedicated team or staff augmentation?

A dedicated development team fits a defined AWS build: a new product, a platform, or a move to serverless, owned by one team from architecture to production. Staff augmentation fits when your team has the architecture and needs senior AWS engineers who join your sprints and report to your leads. See our hire AWS developers page for profiles. For AI systems on AWS, an AI pod team builds and ships them in your accounts.

When Ryz isn't the right fit

If you need AWS reseller billing, credits or a managed services contract to run your accounts 24/7, an AWS partner MSP fits better. If you need engineers on European or Asian hours, a global network will match your schedule. If you want an hourly freelancer for a small fix, a freelance marketplace is faster.

Related

• Software development services
• Cloud migration services
• DevOps services
• AWS vs Azure

FAQ

Serverless or containers on AWS?

Serverless (Lambda, DynamoDB, Step Functions) fits spiky or event-driven workloads and teams that want little to operate. Containers on ECS or EKS fit long-running services, steady high traffic and workloads that need specific runtimes. Many systems use both.

How much do AWS development services cost?

Typical cost is $7,000 to $15,000 per engineer per month. Two senior AWS engineers run $20,000 to $30,000 per month, and a lead plus three seniors starts at $45,000 per month. AWS usage is billed to your account separately.

How fast can the team start?

After the scoping call we propose a team with names. Most of the timeline depends on scope and on your onboarding, especially IAM access and repository permissions.

Terraform or AWS CDK?

Both work well. Terraform fits multi-cloud estates and teams that already use it. CDK fits teams that want infrastructure in TypeScript or Python next to application code. We follow your standard.

Do you build AI applications on AWS?

Yes. Our teams build on Amazon Bedrock and SageMaker in your accounts. For production AI systems, an AI pod team owns the build, including evaluation and guardrails.

Questions we didn't answer? Email info@ryzlabs.com.