DevOps Engineer AWS Expert

AWS | AI-Assisted Development | Platform Engineering

Role Overview

We are seeking a highly skilled 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 a strong understanding of AI-assisted development workflows. The ideal candidate should be comfortable working in an environment that accelerates software development through tools such as Claude (Anthropic), Cursor AI, and spec-driven engineering practices.

You will play a critical role in enabling teams to build, deploy, and scale production-grade applications efficiently, securely, and reliably.

Key Responsibilities

Cloud Architecture & Infrastructure (AWS)

• Design, implement, and manage cloud infrastructure on AWS.
• Work extensively with AWS services, including:

1. Compute: EC2, Lambda
2. Storage: S3
3. Databases: RDS, DynamoDB
4. Networking: VPC, Load Balancers, API Gateway

• Ensure infrastructure is highly available, scalable, and secure.
• Optimize cloud resources for performance, reliability, and cost efficiency.

CI/CD & Automation

• Design and implement end-to-end CI/CD pipelines.
• Automate build, testing, and deployment processes.
• Integrate AI-assisted development workflows into CI/CD pipelines, including:

1. Code generation
2. Validation
3. Automated testing

• Enable rapid and reliable software releases with minimal manual intervention.

Containerization & Orchestration

• Build, deploy, and manage containerized applications using Docker.
• Work with orchestration platforms such as:

1. ECS
2. EKS
3. Kubernetes

• Ensure efficient scaling and optimal resource utilization.

Platform Engineering & Developer Experience

• Build internal developer platforms and reusable infrastructure components.
• Enable self-service capabilities for development teams.
• Support teams working with:

1. .NET
2. React
3. AI-powered applications

• Improve developer productivity through automation, tooling, and platform enhancements.

Monitoring, Reliability & Security

• Implement logging, monitoring, and alerting solutions using CloudWatch and related tools.
• Ensure system reliability, uptime, and performance.
• Establish observability frameworks for troubleshooting and optimization.
• Implement cloud security best practices, including:

1. IAM
2. Encryption
3. Compliance standards

AI-Assisted & Spec-Driven DevOps

• Utilize AI tools such as Claude (Anthropic) and Cursor AI for:

1. Infrastructure automation
2. Script generation
3. Troubleshooting

• Performance optimization
• Implement Infrastructure as Code (IaC) using spec-driven methodologies.
• Support deployment, monitoring, and scaling of AI/LLM-powered applications.

Required Qualifications

• 5+ years of experience in DevOps or Cloud Engineering.
• Strong expertise in AWS cloud services and architecture.
• Hands-on experience with:

1. GitHub Actions
2. Jenkins
3. Other CI/CD tools

• Strong experience with Docker and containerized environments.
• Experience with Infrastructure as Code tools such as:

1. Terraform
2. CloudFormation
3. Strong understanding of:
4. Networking
5. Cloud security
6. Cloud architecture
7. Monitoring and observability

• Familiarity with AI-assisted development tools such as Claude, Cursor AI, or similar.
• Experience working within microservices-based architectures.

Preferred Qualifications

• Experience with Kubernetes and Amazon EKS.
• Exposure to AI/ML or LLM-based application deployments.
• Experience in cloud cost optimization and performance tuning.
• Familiarity with multi-cloud environments.
• Understanding of agentic workflows and AI-driven systems.
• Technology Stack
• Cloud
• AWS (EC2, Lambda, S3, RDS, DynamoDB, API Gateway, VPC)
• DevOps & Automation
• GitHub Actions
• Jenkins
• Terraform
• CloudFormation
• Containers & Orchestration
• Docker
• Kubernetes (EKS/ECS)
• Monitoring & Security
• CloudWatch
• Logging & Alerting Tools
• IAM
• Encryption & Compliance Frameworks
• AI & Development Tools
• Claude (Anthropic)
• Cursor AI
• AI-Assisted Automation & Scripting

Why Join Us

• Work on cutting-edge cloud-native and AI-powered systems.
• Enable teams building next-generation AI applications.
• Leverage AI-assisted DevOps and modern automation practices.
• Own and influence platform engineering initiatives.
• Shape the future DevOps and cloud strategy of the organization.
• Collaborate with high-performing engineering teams in a fast-paced environment.