Overview We need a
DevOps Engineer
to ensure our ML models, APIs, and dashboards run seamlessly across development, staging, and production. You\'ll own CI / CD, infrastructure automation, and monitoring to help us scale rapidly without breaking things.
Responsibilities
Set up and maintain CI / CD pipelines for backend, frontend, and ML models
Deploy services across cloud environments (AWS / GCP / Azure) with security best practices
Implement monitoring, logging, and alerting systems for uptime and performance
Manage containerization (Docker, Kubernetes) for model deployment
Ensure scalability strategies for MVP → Pilot → Production
Requirements
3+ years in DevOps, Site Reliability, or Infra Engineering
Hands-on with CI / CD (GitHub Actions, Jenkins, or GitLab CI)
Strong in Docker, Kubernetes, Terraform, or Helm
Familiar with monitoring tools (Prometheus, Grafana, ELK stack)
2-3 Years work Experience with Azure Cloud.
Preferred Qualifications
Experience deploying ML pipelines into production environments
Knowledge of cost-optimization and auto-scaling strategies in cloud infra
Exposure to serverless (AWS Lambda, GCP Cloud Functions)
Familiarity with security / compliance frameworks (SOC2, GDPR)
Benefits
Fuel Allowance
Medical Insurance
Free Lunch Facility (In-house)
GYM Passport (Panel Gym\'s Free of Cost)
Participatory Fund
Market Competitive Salary
Learning & Challenging Work Environment
Amazing Work Culture
Paid Time off
Group Life Insurance
Maternity Leaves and many more
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Engineer • Islamabad, Pakistan