DevOps Engineer

Contour Software; Lahore; On-site; PKR 3,000,000 - 5,400,000; Full time

Benefits offered by this job

Medical Coverage – Self & Dependents

Provident Fund

Employee Performance-based bonuses

Home Internet Subsidy

Conveyance Allowance

Profit Sharing Plan

Life Benefit

Company Provided Lunch/Dinner

Professional Development Budget

Leave Encashment

Job summary

Contour Software in Lahore 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.

You will work with Software Engineering, Cloud Architecture, Security, Data, and AI teams to build scalable, resilient cloud platforms supporting modern applications and AI workloads. This role offers a chance to shape enterprise-grade platforms and practices.

Qualifications

• Bachelor's degree in CS/IT or related field.
• 4+ years AWS DevOps experience.
• 3+ years managing containerized environments (ECS/EKS/Kubernetes/Docker).
• Strong Infrastructure as Code using Terraform and/or CloudFormation.
• Experience building CI/CD pipelines with GitHub Actions, GitLab CI, Azure DevOps, or Jenkins.
• Scripting skills in Python, Bash, or PowerShell.
• Linux admin and cloud networking experience.
• Observability and monitoring tooling knowledge.
• Familiarity with Generative AI tools and AI-assisted engineering practices.
• Strong cloud security, IAM, networking, and DevSecOps principles.

Responsibilities

• Design, implement, and manage highly available AWS cloud environments.
• Build and maintain infrastructure using IaC tools such as Terraform and CloudFormation.
• Administer and optimize AWS services including ECS, EKS, EC2, Lambda, RDS, DynamoDB, S3, Route53, CloudFront, API Gateway, IAM, VPC, AWS Organizations.
• Design and maintain CI/CD pipelines; automate deployments across dev, QA, staging, and production.
• Integrate AI-powered development and operations tools into workflows.
• Implement monitoring/observability platforms (CloudWatch, Grafana, Prometheus, Datadog, OpenSearch).
• Define and maintain SLI/SLO/SLA metrics; performance tuning and reliability improvements.
• Embed security controls throughout the SDLC with DevSecOps practices.

Skills

AWS

Terraform

CI/CD

GitHub Actions

Linux

Education

Bachelor's degree in Computer Science or related field

Tools

CloudFormation

Kubernetes

Docker

GitLab CI

Jenkins

Job description

Job Description:

About Contour

Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.

As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.

What started as an R&D & Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore & Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!

Position Summary

Dealer Information Systems Corporation (DIS) is seeking an experienced AI DevOps Engineer to design, automate, secure, and optimize cloud-native infrastructure on AWS while leveraging AI-powered tools and practices to accelerate software delivery, improve operational efficiency, and enhance platform reliability. The ideal candidate combines strong AWS DevOps expertise with practical experience integrating AI technologies into CI/CD pipelines, cloud operations, observability, security, and infrastructure automation.

This role will work closely with Software Engineering, Cloud Architecture, Security, Data, and AI teams to build scalable, resilient, and intelligent cloud platforms that support modern application development and AI-driven workloads.

Division Link: https://csiperseus.com/resources/portfolio/dis/

Key Responsibilities:

AWS Cloud Infrastructure & Platform Engineering

• Design, implement, and manage highly available AWS cloud environments.

• Build and maintain infrastructure using Infrastructure as Code (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

• Implement scalable multi-account and multi-environment cloud architectures.

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

• Amazon Bedrock

• Anthropic Claude

• GitHub Copilot

• Amazon Q

• Cursor

• Amazon Q

• Cursor

• Develop AI-assisted solutions for:

• Infrastructure automation

• Incident analysis

• Root cause identification

• Log analysis

• Automated remediation

• Capacity forecasting

• Deployment validation

• Cost optimization

• Build internal AI agents and automation workflows to streamline operational processes.

Platform Reliability & Observability

• Implement monitoring, logging, and alerting solutions.

• Manage observability platforms such as:

• CloudWatch

• Grafana

• Prometheus

• Datadog

• ELK / OpenSearch

• New Relic

• Define and maintain SLI, SLO, and SLA metrics.

• Conduct performance tuning and proactive reliability improvements.

DevSecOps & Security

• Embed security controls throughout the software development lifecycle.

• Implement automated security scanning and compliance checks.

• Utilize tools such as:

• Trivy

• SonarQube

• Snyk

• Dependabot

• Checkov

• AWS Security Hub

• GuardDuty

• Support cloud governance, vulnerability management, and compliance initiatives.

AI/ML Infrastructure Support

• Provision and manage infrastructure supporting AI/ML workloads.

• Deploy and optimize:

• Amazon SageMaker

• Bedrock-based applications

• Vector databases

• GPU-enabled workloads

• AI inference services

• Support MLOps pipelines and model deployment automation.

Cloud Cost Optimization (FinOps)

• Monitor and optimize AWS cloud spend.

• Implement intelligent cost-monitoring and AI-driven recommendations.

• Improve resource utilization through automation and predictive scaling.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, 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.

Preferred Qualifications

• Experience with Amazon Bedrock, Amazon Q, SageMaker, or other AI/ML platforms.

• Experience building AI‑powered operational automation solutions.

• Knowledge of MLOps practices and model deployment workflows.

• AWS Solutions Architect, DevOps Engineer Professional, or Security Specialty certifications.

• Experience with large‑scale SaaS platforms and multi‑tenant environments.

• Exposure to Agentic AI frameworks, MCP servers, LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.

Exciting Benefits we offer:

• Market-leading Salary
• Medical Coverage – Self & Dependents
• Parents Medical Coverage
• Provident Fund
• Employee Performance‑based bonuses
• Home Internet Subsidy
• Conveyance Allowance
• Profit Sharing Plan [Tenured Employees Only]
• Life Benefit
• Child Care Facility
• Company Provided Lunch/Dinner
• Professional Development Budget
• Recreational area for in‑house games
• Sporadic On‑shore training opportunities
• Friendly work environment
• Leave Encashment

Disclaimer: At Contour, we attribute our success to the unique contributions of our diverse staff. We’re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we’ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.

In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.

Requirements: