Hire AWS Engineers

AWS is the default cloud provider for a reason—it's mature, the ecosystem is deep, and the compliance framework is unparalleled. But "everyone uses AWS" is not a reason to default to it. Most SaaS founders who walk in asking for an AWS architecture either need it deeply, mildly need it, or are about to over-engineer their MVP into a billing nightmare because their last CTO liked Kubernetes.

Eternitech's product teams reach for AWS when one of the following is true:

• The product requires strict compliance and enterprise-grade security. SOC 2, HIPAA, PCI-DSS—AWS provides the underlying infrastructure and audit trails (CloudTrail, AWS Config) required to pass enterprise security reviews without building from scratch.
• The architecture demands specialized compute or heavy data processing. High-performance computing, machine learning workloads (SageMaker), complex data lakes (S3, Glue, Athena), or event-driven serverless architectures at scale.
• The team is building for massive, unpredictable scale. Auto-scaling groups, DynamoDB, and Aurora Serverless handle rapid traffic spikes better than fixed-capacity alternatives, provided they are architected correctly.
• The ecosystem integration is non-negotiable. The product needs deep integration with AWS services like Cognito for auth, SNS/SQS for messaging, or MediaConvert for video processing.

AWS is the wrong call when the product is a simple CRUD application that could run on Vercel, Render, or Heroku, or a static site where the operational overhead of managing VPCs, IAM roles, and load balancers outweighs the benefits. We will tell a founder when AWS is the wrong choice and point them to simpler platforms. It happens regularly.

Eternitech runs 15 SaaS products in production. Almost all of them rely on AWS infrastructure. A SaaS platform the team owns and operates handles millions of monthly events across a serverless architecture built on API Gateway, Lambda, and DynamoDB, with a hardened CI/CD pipeline and multi-region failover. The team's AWS work shows up in client engagements as the same patterns: Infrastructure as Code (Terraform, CloudFormation), least-privilege IAM policies, cost-optimized compute, and observable systems that don't silently fail.

Recent client work spans migrating monolithic applications to containerized architectures on ECS and EKS, optimizing six-figure monthly AWS bills down by 40 percent, setting up landing zones for SOC 2 compliance, and building greenfield event-driven systems where AWS was the foundational layer of a broader product engagement.

The shorthand: this is not a team that learned AWS from clicking around the console last quarter. The same engineers and operators have been architecting AWS in production since EC2 Classic.

Eternitech does not pull from a marketplace and does not run a bench. Every engineer staffed on a client engagement has been through the same internal vetting process, and the engagement is anchored by an operator who reviews architecture and infrastructure on a recurring cadence.

The vetting process has four stages:

1. Technical screen. A live architectural session focused on AWS fundamentals—not certification trivia. Engineers are asked to design a highly available VPC, identify security vulnerabilities in an IAM policy, and explain trade-offs between ECS, EKS, and Lambda. The bar is not "can recite AWS services" but "can reason about why and when to use them."

2. System design. A 90-minute session covering cloud architecture decisions: networking, database selection (RDS vs. DynamoDB), cost optimization, disaster recovery, and observability. Engineers who can deploy an app but can't defend their architecture choices or predict their cost don't pass this stage.

3. Code review trial. Candidates are given a sample Terraform module or CloudFormation template from a real Eternitech codebase and asked to review it. This filters for engineers who notice the things that matter—hardcoded secrets, missing encryption, over-permissive roles, state management issues—rather than the things that don't.

4. Operator interview. A final conversation with a senior operator focused on communication, ownership, and the soft signal of "would I trust this person to talk to a client at 9pm on a Friday when production is down." This is the filter that marketplaces skip and that founders feel the absence of three months into an engagement.

Roughly one in twelve AWS candidates make it through this process. The ones who do tend to stay—average tenure on the engineering bench is two to six years.

Eternitech does not publish hourly rates because hourly rates are a misleading signal in engineering services. A $40/hour engineer who provisions an unoptimized database costs more than an $80/hour engineer who architects it correctly from day one. What matters is the engagement model.

Three options for AWS work:

Embedded engineer. A senior AWS engineer or cloud architect working as an extension of a client's product team. Minimum 20 hours per week, three-month minimum term. Standups, architecture reviews, and sprint participation are run through the client's existing process. This is the right model for teams with a CTO or technical lead who can direct day-to-day work.

Operator-led pod. A small team—typically one operator plus two to four engineers—running a scoped initiative. The operator handles strategy, architecture, and client communication; the engineers build. This is the right model for complex migrations, full infrastructure overhauls, or teams without internal technical leadership.

Project build. Fixed-scope, fixed-timeline, fixed-price after a proper discovery phase. Common for infrastructure audits, CI/CD pipeline builds, specific database migrations, or compliance readiness projects. Minimum project size is meaningful—we don't quote builds below a threshold that allows the discovery to be done seriously.

Rates fall into ranges that reflect senior engineering at offshore-delivered cost. Specific numbers go into the conversation, not the page, because the right answer depends on engagement model, scope, timeline, and overlap requirements. Eternitech will quote within 48 hours of a real conversation and will tell a founder upfront if the team is not the right fit for their budget.

The most expensive AWS work Eternitech does is not greenfield builds—it's cleaning up AWS environments that grew faster than the team running them. The patterns repeat:

1. ClickOps instead of Infrastructure as Code. Teams provision servers, databases, and network routing manually through the AWS console. When a staging environment is needed, or an accidental deletion occurs, the infrastructure cannot be replicated. The fix is codifying the entire environment using Terraform or AWS CDK, treating infrastructure as versioned, reviewable code.

2. Over-provisioning and unoptimized billing. Startups default to massive RDS instances and unreserved EC2 clusters "just in case" traffic spikes, bleeding thousands of dollars a month. Cost optimization is a continuous engineering discipline, not a finance task. The fix involves right-sizing compute, leveraging Reserved Instances or Savings Plans, implementing lifecycle policies for S3, and setting up rigorous billing alerts.

3. Over-permissive IAM roles. The wildcard * action on an S3 bucket or DynamoDB table is the root cause of most cloud security breaches. Teams rush permissions to get features shipped, leaving the architecture vulnerable. We audit, restrict, and enforce least-privilege access, ensuring services and users only have the exact permissions required to function.

4. VPC and networking misconfigurations. Putting databases in public subnets, hardcoding IP addresses, or running all services in a single Availability Zone. The architecture looks fine until a region blips or a security audit occurs. The remediation involves designing proper public and private subnet routing, NAT gateways, and multi-AZ deployments.

5. Ignoring observability. An API throws a 500 error and the team spends three hours grepping through raw CloudWatch logs to find the cause. Systems built without centralized logging, distributed tracing (X-Ray), and actionable alarms (SNS) are unmaintainable. We implement robust monitoring that alerts on anomalies before users report them.

6. Kubernetes for simple workloads. Teams reach for EKS because it's an industry buzzword, adopting immense operational complexity for a monolithic application that would run flawlessly on ECS Fargate or App Runner. We strip away unnecessary complexity, migrating workloads to managed services that reduce maintenance overhead.

Eternitech's typical engagement on an inherited AWS environment starts with an audit covering these patterns, a prioritized list of what to fix and what to leave alone, and a remediation plan that ships in parallel with new feature work. The goal is not to rewrite—most rewrites fail. The goal is to make the infrastructure boring again.

AWS doesn't operate in a vacuum. The stacks Eternitech's AWS engineers work in most often:

• Infrastructure as Code: Terraform, AWS CDK, CloudFormation, Pulumi
• Compute & Containers: ECS, EKS (Kubernetes), Fargate, EC2, Lambda
• Databases & Storage: RDS (PostgreSQL, MySQL), DynamoDB, Aurora, S3, ElastiCache
• CI/CD & DevOps: GitHub Actions, GitLab CI, AWS CodePipeline, Jenkins
• Networking & Security: VPC, Route 53, CloudFront, WAF, IAM, KMS
• Observability: CloudWatch, Datadog, Prometheus, Grafana, ELK stack
• Backend pairings: Node.js, Python/Django, Go, Java, PHP/Laravel

For teams hiring AWS engineers as part of a broader product build, Eternitech can staff the full stack from a single team. For teams that just need infrastructure capacity layered onto an existing development team, the engagement is scoped accordingly.

Every Eternitech engagement is anchored by a senior operator—someone who has built and shipped SaaS products, not someone who has managed them from a slide deck. The operator is on the first call, in the architecture review, and reachable directly throughout the engagement. The model exists because the agency model is broken when nobody on the agency side has shipped a product. Eternitech has shipped 15.

Day-to-day engineering happens with a retained Bangalore team. Same engineers, working with Eternitech for years, deep institutional knowledge of the infrastructure they manage. Not a marketplace. Not a bench-for-rent. A real team that gives a damn about the work.

For US-based clients, the primary operator is on Eastern Time, available during US business hours. For European clients, the Tel Aviv office handles overlapping coverage. Standups happen at an overlap-friendly time, written daily updates land in the client's inbox, and any blocker gets a response within four business hours.

• An operator who reviews the architecture — not an account manager fielding tickets.
• A retained engineering team — same faces, low turnover, real ownership.
• Infrastructure that survives audits — clean documentation, peer-reviewed, architecturally defensible.
• Full IP and root account ownership — 100% assigned, no carve-outs, environments owned by the client from day one.
• Honest scoping — Eternitech will say no to projects it's not the right fit for. This is a feature, not a bug.

No pitch deck required. Just a conversation about what's being built and whether Eternitech is the right team for it.

Primary CTAs:

• [Book a call] → /book-a-meeting/
• [WhatsApp us] → https://wa.me/17865040180?text=Hi%20Eternitech%2C%20I%27m%20looking%20for%20AWS%20engineers%20for%20my%20project.

We answer within four business hours, on actual business days.