Senior Software Engineer - Innovation Engineer
Position Description
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
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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
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Education Qualification:
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field with relevant industry experience.
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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.
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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
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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.
Your future duties and responsibilities
Responsibilities:
• Lead end-to-end design and development of scalable cloud-native products from ideation, PoC, pilot to production rollout.
• Architect and implement distributed systems using microservices, APIs, Docker containers, Kubernetes, and CI/CD pipelines.
• Build, deploy, and optimize AI/ML and Generative AI solutions, including LLM-based applications, RAG pipelines, and vector databases.
• Implement robust MLOps practices including model lifecycle management, versioning, monitoring, and continuous improvement.
• Design highly available, resilient systems following 12-factor application principles with autoscaling and cost optimization.
• Own and manage cloud architecture across AWS, GCP, or Azure ensuring security, compliance, and performance.
• Implement observability for logging, monitoring, alerting, and performance tuning.
• Define and execute deployment strategies such as blue-green and canary releases for zero-downtime deployment.
• Collaborate with product, business, and engineering teams to translate requirements into scalable technical solutions.
• Mentor junior engineers and promote engineering best practices across teams.
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Required qualifications to be successful in this role
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.
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.