Azure DevOps Engineer

Ascendion; Maharashtra; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Ascendion is seeking a hands-on DevOps Engineer (AWS) to automate cloud infrastructure, CI/CD pipelines, and container orchestration in AWS environments.

Design and manage AWS resources (VPC, ALB, ECS/EKS, ECR, S3, IAM), implement Terraform IaC, build deployment pipelines, and monitor with CloudWatch.

Deploy and manage containerized apps, enforce security and governance, and collaborate with product-focused teams in AI-native startup settings.

Qualifications

• Experience with AWS cloud services: VPC, ALB, ECS/EKS, ECR, S3, IAM.
• Proficient in Terraform for infrastructure automation.
• Hands-on with CI/CD tooling (Jenkins, GitHub Actions).

Responsibilities

• Design and manage AWS cloud infrastructure.
• Implement Infrastructure as Code using Terraform.
• Build and maintain CI/CD pipelines for automated deployments.
• Deploy and manage containerized applications using ECS/EKS.
• Implement monitoring, logging, and alerting frameworks.
• Ensure cloud security and access governance.

Skills

AWS

VPC

ALB

ECS/EKS

ECR

S3

IAM

Terraform

Docker

Kubernetes

CI/CD

Jenkins

GitHub Actions

CloudWatch

Tools

Terraform

Docker

Kubernetes

Jenkins

GitHub Actions

CloudWatch

Job description

DevOps Engineer (AWS)

Role Overview

Hands-on DevOps engineer responsible for automating cloud infrastructure, CI/CD pipelines, and container orchestration in AWS environments.

Key Responsibilities

• Design and manage AWS cloud infrastructure
• Implement Infrastructure as Code using Terraform
• Build and maintain CI/CD pipelines for automated deployments
• Deploy and manage containerized applications using ECS/EKS
• Implement monitoring, logging, and alerting frameworks
• Ensure cloud security and access governance

Required Hands-on Skills

• Hands-on AWS services (VPC, ALB, ECS/EKS, ECR, S3, IAM)
• Terraform for infrastructure automation
• Docker and Kubernetes containerization
• CI/CD tools (Jenkins/GitHub Actions)
• CloudWatch monitoring and logging

Preferred Background: Candidates must come from Product Companies or AI-first / AI-native Startup environments with strong ownership in engineering delivery.