Senior Software Engineer - Innovation 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 https://www.cgi.com/india/en. ________________________________________ Job Title: Innovation Engineer - Senior Position ID : J0526-0531 Experience: 6+ Category: Software Engineering Shift: 1:00PM TO 10:00PM (5 days ODC) Main Location: India ( Hyderabad) Employment Type: Full Time ________________________________________ Education Qualification: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field with relevant industry experience. ________________________________________ Position Description: We are seeking a highly skilled Senior / Lead Engineer to design and build scalable cloud-native platforms and AI-driven solutions. This role involves architecting distributed systems, developing microservices-based applications, and delivering AI/ML and Generative AI solutions in production environments. The ideal candidate will lead cloud architecture initiatives, drive strong DevOps and MLOps practices, and collaborate across teams to deliver secure, scalable, and high-performance enterprise-grade applications. ________________________________________ Must-Have Skills: Strong experience with cloud platforms (AWS / GCP / Azure) Expertise in microservices architecture and distributed systems Hands-on experience with Docker and Kubernetes Experience with CI/CD pipelines and DevOps practices Experience building AI/ML or Generative AI solutions (LLMs, RAG pipelines, vector databases) Strong knowledge of API development and integration Experience implementing MLOps and model lifecycle management Experience with system monitoring, logging, and observability tools ________________________________________ Good-to-Have Skills: Knowledge of 12-factor application design principles Experience with blue-green or canary deployment strategies Experience with cloud cost optimization and performance tuning Exposure to enterprise security and compliance standards Experience mentoring teams and guiding engineering best practices.