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
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
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
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 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
