Senior Cloud Data & AI Engineer

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.

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: Bachelor's 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.

• *Your future duties and responsibilities**

• 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.

• *Required qualifications to be successful in this role**

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 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.**Together, as owners, let’s turn meaningful insights into action.**

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well\-being and provide you with opportunities to deepen your skills and broaden your horizons.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

Come join our team—one of the largest IT and business consulting services firms in the world.