Posted:5 days ago|
Platform:
Work from Office
Full Time
Senior Software Engineer -DevOps Engineer
Position Description
Company Profile:Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com.
Job Title: DevOps Engineer
Position: Senior Software EngineerExperience:5- 8 YearsCategory: Software Development/ EngineeringShift: GeneralMain location: India - Bangalore, Hyderabad, Chennai, Mumbai, PunePosition ID: J0425-1152Employment Type: Full Time
Education Qualification: Bachelor's degree in computer science or related field or higher with minimum4 years of relevant experience.
Position Description: We are looking for a proactive and skilled Mid-Level DevOps Engineer to join our growing team and support cutting-edge AI-driven initiatives. This role is critical to building and maintaining scalable, reliable infrastructure for machine learning models and data-intensive applications. The ideal candidate will bring strong DevOps expertise, hands-on experience with cloud platforms, CI/CD, Docker and Kubernetes.
Your future duties and responsibilities
• Design and maintain CI/CD pipelines for AI/ML model training, testing, and deployment.• Manage cloud infrastructure (AWS, GCP, or Azure) optimized for AI workloads.• Automate infrastructure provisioning using Terraform, CloudFormation, or Ansible.• Support containerization (Docker) and orchestration (Kubernetes) of ML services.• Implement monitoring and alerting solutions (Prometheus, Grafana, ELK, Datadog).• Collaborate with AI teams to streamline workflows and ensure production readiness.• Ensure scalability, performance, and security across DevOps practices.• Troubleshoot infrastructure issues and conduct root cause analysis.
Required qualifications to be successful in this role
Must-Have:
Good-to-Have:
• Experience with ML tools like MLflow, Kubeflow, SageMaker, or DVC.• Familiarity with AI/ML pipeline design and model versioning.• Understanding of security best practices in cloud DevOps environments.
CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.
CGI
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