AI DevOps Engineer

Contour Software; Lahore; On-site; PKR 2,500,000 - 5,000,000; Full time

Benefits offered by this job

Medical Coverage – Self & Dependents

Provident Fund

Employee performance-based bonuses

Professional development budget

Company provided lunch/dinner

Leave encashment

Conveyance allowance

Job summary

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

The role focuses on IaC, CI/CD, AI-assisted automation, and robust observability, with a strong emphasis on security and cost optimization.

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.

Responsibilities

• 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.
• Design and maintain CI/CD pipelines and automate deployments across environments.
• Integrate AI-powered development and operational tools into workflows.
• Implement GitOps and deployment strategies like blue-green, canary, and rolling deployments.
• Develop AI-assisted solutions for automation, incident analysis, root cause identification, and log analysis.

Skills

AWS DevOps

Terraform

CloudFormation

CI/CD pipelines

GitHub Actions

GitLab CI

Jenkins

Python scripting

Linux administration

Observability

Security

AI/ML tooling

Education

Bachelor's degree in CS/SE

Tools

Terraform

CloudFormation

GitHub Actions

GitLab CI

Jenkins

Azure DevOps

Kubernetes

Docker

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.

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
• 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.