DevOps Engineer - AWS Expert

(AWS + AI-Assisted Development + Platform Engineering)

Role Overview We are looking for a DevOps Engineer (AWS Expert) to design, implement, and manage scalable cloud infrastructure and deployment pipelines for modern, AI-powered applications. This role requires deep expertise in AWS, CI/CD, containerization, and platform engineering, along with an understanding of AI-assisted development workflows. The ideal candidate should be comfortable working in an environment where development is accelerated using tools like Claude (Anthropic), Cursor AI, and spec-driven engineering practices. You will play a key role in enabling teams to build, deploy, and scale production-grade applications efficiently and reliably.

Key Responsibilities 1. Cloud Architecture & Infrastructure (AWS) • Design and manage cloud infrastructure on AWS. • Work with core AWS services:

• Compute: EC2, Lambda
• Storage: S3
• Databases: RDS, DynamoDB
• Networking: VPC, Load Balancers, API Gateway • Ensure high availability, scalability, and security of systems. • Optimize infrastructure for performance and cost.

2. CI/CD & Automation • Design and implement end-to-end CI/CD pipelines. • Automate build, test, and deployment workflows. • Integrate AI-assisted development workflows into CI/CD (code generation, validation, testing). • Enable faster and reliable releases with minimal manual intervention.

3. Containerization & Orchestration • Build and manage containerized applications using Docker. • Work with orchestration tools (ECS, EKS, or Kubernetes). • Ensure efficient resource utilization and scaling.

4. Platform Engineering & Developer Experience • Build internal platforms and reusable infrastructure components. • Enable developer self-service capabilities. • Support teams working with .NET, React, and AI-based systems. • Improve developer productivity using automation and tooling.

5. Monitoring, Reliability & Security • Implement logging, monitoring, and alerting systems (CloudWatch, etc.). • Ensure system reliability, uptime, and performance. • Set up observability frameworks for debugging and optimization. • Implement security best practices (IAM, encryption, compliance).

6. AI-Assisted & Spec-Driven DevOps • Leverage tools like Claude (Anthropic) and Cursor AI for:

• Infrastructure automation
• Script generation
• Troubleshooting and optimization • Work with spec-driven approaches for infrastructure provisioning (IaC). • Support deployment and scaling of AI/LLM-based applications.

Required Qualifications • 5+ years of experience in DevOps / Cloud Engineering. • Strong expertise in AWS cloud platform. • Hands-on experience with:

• CI/CD tools (GitHub Actions, Jenkins, etc.)
• Docker and containerization • Experience with Infrastructure as Code (Terraform, CloudFormation, etc.). • Strong understanding of:
• Networking, security, and cloud architecture
• Monitoring and observability • Familiarity with AI-assisted development tools (Claude, Cursor AI, etc.). • Experience working in microservices-based architectures.

Preferred Qualifications • Experience with Kubernetes (EKS). • Exposure to AI/ML or LLM-based application deployments. • Experience optimizing cloud cost and performance. • Familiarity with multi-cloud environments. • Understanding of agentic workflows and AI-driven systems.

Tech Stack Cloud

• AWS (EC2, Lambda, S3, RDS, DynamoDB, API Gateway, VPC)

DevOps & Automation

• CI/CD (GitHub Actions, Jenkins)
• Terraform
• CloudFormation

Containers & Orchestration

• Docker
• Kubernetes (EKS/ECS)

Monitoring & Security

• CloudWatch
• Logging & Alerting
• IAM
• Encryption

AI & Development Tools

• Claude (Anthropic)
• Cursor AI
• AI-assisted automation and scripting

What Makes This Role Exciting • Work on modern cloud-native and AI-powered systems. • Enable teams building next-generation AI applications. • Leverage AI-assisted DevOps and automation practices. • Take ownership of building scalable and reliable platforms. • Help shape platform engineering and DevOps strategy.