AWS Devops - Senior Engineer

Iris Software; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Iris Software is seeking a Senior Cloud / DevOps Engineer based in Dadri, Uttar Pradesh. The role requires strong AWS skills and focuses on designing and building scalable cloud platforms. Key responsibilities include maintaining AWS infrastructure, developing CI/CD pipelines, and operating container workloads using Docker and Kubernetes. Candidates should have 4-7 years of relevant experience, and strong hands-on skills in AWS and CI/CD tools. The position promises a dynamic environment with emphasis on automation and reliability.

Qualifications

• 4-7 years of experience in AWS cloud engineering or DevOps roles, with overall 6+ years of experience.
• Strong hands-on experience with AWS services and architectures.
• Solid hands-on skills in Docker and Kubernetes/EKS.
• Experience implementing and maintaining CI/CD pipelines using GitHub Actions.

Responsibilities

• Design, implement, and maintain AWS infrastructure using Infrastructure as Code.
• Build and operate containerized workloads using Docker and Kubernetes (EKS).
• Develop and enhance CI/CD pipelines using GitHub Actions.
• Implement monitoring, logging, security, and operational best practices.

Skills

AWS services and architectures

Docker

Kubernetes

CI/CD pipelines

Infrastructure as Code

Cloud security

Scripting (Python, Bash)

Tools

AWS CDK

GitHub Actions

Job description

Role Summary

We are looking for a Senior Cloud / DevOps Engineer with strong AWS and automation skills to design, build, and operate scalable cloud platforms. This role is hands‑on and execution‑focused, working closely with the Project Lead to deliver resilient infrastructure, CI/CD pipelines, and container‑based systems.

Key Responsibilities

• Design, implement, and maintain AWS infrastructure using Infrastructure as Code.
• Build and operate containerized workloads using Docker and Kubernetes (EKS).
• Develop and enhance CI/CD pipelines using GitHub Actions.
• Support cloud environments used by application and AI/ML teams.
• Implement monitoring, logging, security, and operational best practices.
• Troubleshoot and resolve infrastructure and deployment issues efficiently.
• Participate in on‑call or offshore overlap support as required.
• Continuously improve reliability, performance, and automation maturity.

Required Skills & Experience

• 4-7 years of experience in AWS cloud engineering or DevOps roles, with overall 6+ years of experience.
• Strong hands‑on experience with AWS services and architectures.
• Experience with AWS CDK (preferred) or other IaC frameworks.
• Solid hands‑on skills in Docker and Kubernetes/EKS.
• Experience implementing and maintaining CI/CD pipelines (GitHub Actions required).
• Understanding of cloud security, IAM, networking, and operational excellence.
• Exposure to AI/ML workloads, model deployments, or MLOps concepts.

Nice to Have

• Experience supporting distributed/offshore teams.
• Knowledge of cost optimization and environment standardization.
• Scripting experience (Python, Bash, or similar).