Nitor Infotech, an Ascendion Company
Website:
nitorinfotech.com
Job details:
Role Summary
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 blends cloud engineering, platform engineering, and AI-assisted development practices, enabling teams to build and deploy production-grade applications efficiently. If you’re passionate about automation, scalability, and next-gen DevOps, this role is for you.
Key Responsibilities:
Cloud Architecture & Infrastructure (AWS)
- Design, implement, and manage AWS-based cloud infrastructure
- 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
- Optimize infrastructure for cost and performance
CI/CD & Automation
- Build and manage end-to-end CI/CD pipelines
- Automate build, test, and deployment workflows
- Integrate AI-assisted development workflows into pipelines
- Enable faster, reliable deployments with minimal manual effort
Containerization & Orchestration
- Build and manage applications using Docker
- Work with orchestration platforms (ECS, EKS, Kubernetes)
- Ensure efficient scaling and resource optimization
Platform Engineering & Developer Experience
- Build internal platforms and reusable 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 monitoring, logging, and alerting (CloudWatch, etc.)
- Ensure system reliability, performance, and uptime
- Build observability frameworks for debugging and optimization
- Implement security best practices (IAM, encryption, compliance)
AI-Assisted & Spec-Driven DevOps
- Leverage tools like Claude (Anthropic) and Cursor AI for:
- Automation and script generation
- Troubleshooting and optimization
- Work with Infrastructure as Code (IaC) and spec-driven approaches
- Support deployment of AI/LLM-based applications
Required Skills:
- 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)
- Solid understanding of:
- Cloud architecture, networking, and security
- Monitoring and observability
- Familiarity with AI-assisted development tools
- Experience with microservices architecture
Good To Have:
- Experience with Kubernetes (EKS)
- Exposure to AI/ML or LLM-based deployments
- Experience in cloud cost optimization
- 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: Docker, Kubernetes (EKS/ECS)
Monitoring & Security: CloudWatch, IAM, encryption, logging
AI Tools: Claude (Anthropic), Cursor AI
Total Experience- 5 to 7 Years
Location- Pune, Maharashtra
Click on Apply to know more.