Senior Cloud Data & AI Engineer

Founded in 1976 CGI is among the largest independent IT and business consulting services firms in the world. With 94000 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 .

Position: Cloud & AI Platform Lead
Experience: 6 Years
Category: Software Development / Engineering
Shift: Hybrid (1 PM to 10 PM Shift)
Main Location: Hyderabad
Position ID: J1026-1467
Employment Type: Full Time
Education Qualification: Bachelors degree in Computer Science Information Technology Engineering or a related field with a minimum of 6 years of relevant experience.

Position Description

We are looking for an experienced Cloud & AI Platform Lead with strong expertise in AWS Python PySpark SQL Databricks and cloud-native application development. The candidate will be responsible for designing and managing cloud-based data and AI platforms developing data pipelines building secure APIs and automating cloud infrastructure using Terraform.
The role also involves integrating AI services implementing CI/CD pipelines ensuring cloud security and providing technical leadership to engineering teams. The candidate should be able to deliver scalable secure and high-quality solutions aligned with business requirements.

Design develop and maintain cloud-native applications and data platforms using AWS.
Build and optimize ETL/ELT pipelines using Python PySpark SQL AWS Glue and Databricks.
Develop and integrate secure REST APIs using AWS Lambda and API Gateway.
Manage AWS services such as S3 EC2 ECS/EKS CloudFront IAM KMS and load balancers.
Implement API security using OAuth 2.0 JWT and access control mechanisms.
Automate cloud infrastructure provisioning using Terraform.
Integrate AI services using AWS Bedrock Azure AI or Google Cloud AI.
Optimize data processing jobs and SQL queries for better performance.
Develop and maintain CI/CD pipelines using suitable DevOps tools.
Implement cloud security data governance and compliance best practices.
Troubleshoot application and data pipeline issues and provide production support.
Collaborate with developers architects and business teams to deliver solutions.
Mentor engineering teams conduct code reviews and establish development standards.
Participate in Agile/Scrum meetings and maintain technical documentation.

Must-Have Skills
AWS Cloud Services: Lambda API Gateway S3 ECS/EKS CloudFront ALB/NLB IAM and KMS.
Python / PySpark: Strong programming and data processing skills.
SQL: Experience with complex queries and query optimization.
Databricks: Experience developing data processing workloads and pipelines.
API Development: Experience developing and integrating REST APIs.
API Security: Knowledge of OAuth 2.0 JWT authentication and authorization.
Data Engineering: Experience with ETL/ELT pipelines and data integration.
Terraform: Experience with Infrastructure as Code and cloud automation.
Cloud-Native Development: Understanding of scalable and reliable cloud applications.
Software Architecture: Knowledge of application design and development best practices.
Technical Leadership: Ability to guide mentor and support engineering teams.

Good-to-Have Skills

Experience with OpenAPI/Swagger.
Knowledge of Jenkins GitHub Actions or GitLab CI.
Experience with Docker and Kubernetes.
Knowledge of DevOps and automation practices.
Familiarity with AWS Bedrock Azure AI or Google Cloud AI.
Experience with Agile/Scrum methodologies and Jira.
Knowledge of data governance and platform management.
Experience with multi-region and multi-currency applications.
Understanding of security compliance and data protection standards.

#LI-SP40

CGI is an equal opportunity 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.

• AWS Lambda
• AWS S3
• Cloud Native Development
• Databricks
• English
• Infrastructure as a Code
• SQL
• AWS Cloudformation
• Data Engineering
• Data Engineering
• Python

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