AI-Driven DevOps Engineer - AWS, CI/CD & SRE

EWS Group; Lahore; On-site; PKR 3,200,000 - 5,200,000; Full time

Benefits offered by this job

Market-leading Salary

Medical Coverage - Self & Dependents

Provident Fund

Employee Performance-based bonuses

Home Internet Subsidy

Conveyance Allowance

Profit Sharing Plan

Life Benefit

Child Care Facility

Company Provided Lunch/Dinner

Professional Development Budget

Recreational area for in-house games

Sporadic On-shore training

Job summary

Contour Contour Software is seeking an experienced AI DevOps Engineer to design, automate, secure, and optimize cloud-native infrastructure on AWS while leveraging AI-powered tools to accelerate software delivery and platform reliability. You will collaborate with Software Engineering, Cloud Architecture, Security, Data, and AI teams to build scalable cloud platforms for AI workloads.

The role emphasizes Terraform, CloudFormation, CI/CD automation, GitOps, and integrating AI-assisted workflows

Qualifications

• Bachelor's degree in CS/Engineering/IT or related field.
• 4+ years of AWS DevOps experience.
• 3+ years of experience managing containerized environments using ECS, EKS, Kubernetes, and Docker.
• Strong expertise in Infrastructure as Code using Terraform and/or CloudFormation.
• Experience building CI/CD pipelines using GitHub Actions, GitLab CI, Azure DevOps, or Jenkins.
• Strong scripting skills in Python, Bash, or PowerShell.
• Experience with Linux administration and cloud networking.
• Hands-on experience with monitoring and observability platforms.
• Familiarity with Generative AI tools and AI-assisted software engineering practices.
• Strong understanding of cloud security, IAM, networking, and DevSecOps principles.

Responsibilities

• AWS Cloud Infrastructure & Platform Engineering Design, implement, and manage highly available AWS cloud environments.
• Build and maintain infrastructure using IaC tools such as Terraform and AWS CloudFormation.
• Administer and optimize AWS services including ECS, EKS, EC2, Lambda, RDS, DynamoDB, S3, Route53, CloudFront, API Gateway, IAM, VPC, AWS Organizations.
• DevOps & CI/CD Automation Design and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar platforms.
• Automate application deployments across development, QA, staging, and production environments.
• Implement GitOps practices and deployment strategies including blue-green, canary, and rolling deployments.
• Improve deployment frequency, reliability, and release quality through automation.
• AI-Driven DevOps Enablement Integrate AI-powered development and operational tools into engineering workflows.
• Leverage Generative AI platforms such as OpenAI, Bedrock, SageMaker; Develop AI-assisted solutions for automation and monitoring.
• Platform Reliability & Observability Implement monitoring, logging, and alerting solutions.
• Manage observability platforms such as CloudWatch, Grafana, Prometheus, Datadog, ELK/OpenSearch, New Relic.
• Conduct performance tuning and proactive reliability improvements.
• DevSecOps & Security Embed security controls throughout the software development lifecycle.
• Automate security scanning and compliance checks.
• Utilize tools such as Trivy, SonarQube, Snyk, Dependabot, Checkov, AWS Security Hub, GuardDuty.

Skills

AWS DevOps

ECS / EKS / Kubernetes / Docker

Terraform

CloudFormation

GitHub Actions

GitLab CI

Azure DevOps

Jenkins

Python

Bash

PowerShell

Linux administration

Cloud networking

Monitoring & Observability

Generative AI tools

Cloud security

IAM

Networking

DevSecOps

Amazon Bedrock

SageMaker

SaaS platforms

Multi-tenant

Agentic AI frameworks

Education

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field

Tools

Terraform

CloudFormation

Job description

Contour Contour Software is seeking an experienced AI DevOps Engineer to design, automate, secure, and optimize cloud-native infrastructure on AWS while leveraging AI-powered tools to accelerate software delivery and platform reliability. You will collaborate with Software Engineering, Cloud Architecture, Security, Data, and AI teams to build scalable cloud platforms for AI workloads.

The role emphasizes Terraform, CloudFormation, CI/CD automation, GitOps, and integrating AI-assisted workflows