DevOps Engineer – AWS Expert

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:

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

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 more reliable releases with minimal manual intervention

Containerization & Orchestration

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

• 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

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)

AI-Assisted & Spec-Driven DevOps

Leverage tools like Claude (Anthropic), 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 the 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

• 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 to build next-gen AI applications
• Leverage AI-assisted DevOps and automation practices
• High ownership in building scalable and reliable platforms
• Opportunity to shape platform engineering and DevOps strategy