Hire Pre-vetted AWS Developers

What is an AWS Developer?

An AWS Developer is a software engineer specializing in designing, building, and managing applications and infrastructure on Amazon Web Services. They leverage AWS services to create scalable, secure, and cost-effective solutions that solve complex business problems. AWS Developers do more than provision instances—they architect serverless applications, design resilient systems, optimize cloud costs, and integrate AWS services into broader technology stacks. Whether you need someone to migrate legacy systems to the cloud, build event-driven architectures, or optimize your AWS bill, an AWS Developer brings cloud-native expertise and strategic thinking.

What makes AWS Developers valuable is their ability to move fast while maintaining reliability and cost-efficiency. They understand how to use AWS's extensive service portfolio to solve problems elegantly, reducing infrastructure complexity and accelerating time-to-market. This is why rapidly scaling companies and enterprises alike trust AWS specialists for mission-critical infrastructure. When you hire through Torc, you're getting someone who builds cloud systems that grow with your business while keeping costs under control.

Technology Stack

Core AWS Services

• EC2, RDS, S3, VPC, IAM

• Lambda & Serverless Computing

• API Gateway, CloudFront, CloudWatch

• DynamoDB, ElastiCache, Aurora

Application Development

• Python, Node.js, Java development on AWS

• Docker & containerization

• Microservices architecture

• Event-driven design patterns

Infrastructure & DevOps

• CloudFormation & Infrastructure as Code

• AWS CDK (Cloud Development Kit)

• CI/CD with CodePipeline, CodeBuild

• Terraform for multi-cloud environments

Monitoring & Security

• CloudWatch, X-Ray, Application Insights

• IAM policies & access management

• VPC security, encryption, compliance

• Cost optimization & billing analysis

Key Qualities to Look For on an AWS Developer

Cloud Architect Mindset — They don't just use AWS services; they design systems with scalability, fault tolerance, and cost in mind. They make deliberate choices about which services fit your specific needs and can articulate trade-offs between options.

Cost Optimization Focus — Exceptional AWS developers understand that cloud freedom comes with cost responsibility. They optimize resource usage, leverage reserved instances, and implement monitoring to prevent bill shock. They balance performance with budget constraints.

Hands-On Problem Solver — They troubleshoot infrastructure issues systematically, using CloudWatch logs and AWS tools to identify and resolve problems. They understand networking, security, and performance optimization deeply enough to debug end-to-end issues.

Continuous Learner — AWS evolves constantly with new services and features. The best developers stay current, experiment with new offerings, and know when to adopt emerging technologies versus sticking with proven approaches.

Infrastructure as Code Advocate — They version control infrastructure, automate deployments, and treat infrastructure with the same rigor as application code. This enables reproducibility, team collaboration, and faster incident recovery.

Results-Oriented — They balance infrastructure elegance with business velocity. They can scope migrations realistically, deliver incremental value, and iterate based on operational feedback.

Project Types Your AWS Developers Handle

Cloud Migration & Modernization — Migrating legacy on-premises systems to AWS. Python developers refactor applications for cloud-native architectures, set up databases, and implement CI/CD pipelines. Real scenarios: Lift-and-shift migrations, database migrations with minimal downtime, application refactoring for serverless.

Serverless Architecture — Building event-driven, fully managed applications using Lambda, API Gateway, and managed services. Real scenarios: Building REST APIs with minimal infrastructure overhead, processing data streams, scheduled automation tasks.

Infrastructure Scaling — Designing systems that handle 10x, 100x, or 1000x growth. Real scenarios: Setting up auto-scaling groups, implementing caching layers, optimizing database queries for scale.

Cost Optimization Projects — Analyzing existing AWS usage and identifying savings opportunities. Real scenarios: Reserved instance strategies, S3 lifecycle policies, compute optimization.

Security & Compliance — Implementing security best practices and compliance frameworks. Real scenarios: Setting up VPCs with proper isolation, implementing encryption strategies, audit logging, compliance monitoring.

Data & Analytics Pipelines — Building systems to ingest, process, and analyze large datasets. Real scenarios: Setting up data lakes with S3 and Athena, real-time analytics with Kinesis, machine learning pipelines.

Disaster Recovery & High Availability — Ensuring systems remain operational during failures. Real scenarios: Multi-region deployments, backup strategies, failover automation.

Interview questions

Question 1: "Walk me through how you'd architect a solution for an application that needs to handle 10x traffic growth. What AWS services would you choose and why?"

Why this matters: Tests architectural thinking, understanding of AWS service options, and ability to make trade-off decisions. Reveals whether they think about scalability from the start or react after problems occur. Look for mention of load balancing, auto-scaling, caching, database optimization, and cost considerations.

Question 2: "Tell me about a time you optimized cloud costs in a project. What tools or approaches did you use, and what was the impact?"

Why this matters: Tests practical cost optimization experience, which is critical for sustainable AWS implementations. Reveals whether they monitor spending, understand pricing models, and take initiative to reduce waste. Many developers focus only on functionality, not cost-efficiency.

Question 3: "Describe a situation where an AWS service limit or constraint impacted your project. How did you identify it and what was your solution?"

Why this matters: Tests whether they've worked with AWS at scale and understand its constraints. Reveals problem-solving methodology and whether they anticipate limits or only react when failures occur. Real AWS experience includes hitting and working around service limits.