Senior Software Engineer - DevOps & MLOps Engineer (GCP)

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 cgi.com.

Job Title: Senior Software Engineer - DevOps MLOps Engineer (GCP)
Position: Senior Software Engineer
Experience: 6 - 8 Years
Category: Senior Software Development/ Engineering
Shift: General Shift
Main location: India, Karnataka, Pune
Position ID: J0526-0242
Employment Type: Full Time
Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience.
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We are seeking a high-caliber DevOps MLOps Engineer to bridge the gap between robust infrastructure and cutting-edge Artificial Intelligence. In this role, you won't just be managing pipelines; you will be architecting the foundation for Generative AI and Machine Learning at scale.
You will be responsible for the end-to-end lifecycle of our applicationsfrom standard microservices to complex Large Language Models (LLMs)ensuring they are scalable, reproducible, and secure within the Google Cloud Platform (GCP) ecosystem.

Key Responsibilities :

Infrastructure Orchestration: Design and maintain scalable infrastructure using Terraform and manage containerized workloads via Docker and Kubernetes (GKE).
CI/CD Excellence: Build and optimize automated deployment pipelines using Cloud Build to ensure rapid, reliable delivery of both code and models.
MLOps Mastery: Implement Agent Lifecycle Management and governance frameworks. Manage Feature Stores and ensure total reproducibility of ML experiments and production runs.
GenAI Deployment: Architect specialized environments for LLM Deployment Scaling, specifically managing high-performance GPU/TPU resource allocation and optimization.
Monitoring Governance: Establish rigorous Model Monitoring and observability patterns using GCP's operations suite to track performance, drift, and system health.
Data Engineering Support: Collaborate on data pipelines using BigQuery, Dataflow, and Dataproc to ensure seamless data flow for ML training and inference.

Must to have skills :

1. Core DevOps Foundations
Version Control: Expert-level Git (branching strategies, hooks, and security).
IaC: Advanced Terraform for multi-environment provisioning.
Containerization: Mastery of Docker and Kubernetes (GKE).
Automation: Fluent in Python and Bash for custom tooling and scripting.
Networking: Deep understanding of VPCs, Subnets, Firewalls, and Load Balancing.
2. GCP Platform Expertise
Core Services: IAM, VPC, Cloud Storage, Logging, Monitoring.
Compute: GKE, Compute Engine, Cloud Functions, and Cloud Run.
Data/ML Services: Vertex AI Suite, BigQuery, Dataflow, Dataproc, and Cloud Composer (Airflow).
3. MLOps AI Specialization
Lifecycle: Experience with Agent orchestration and governance.
Infrastructure for AI: Managing Feature Stores and automated Inference pipelines.
Hardware Acceleration: Hands-on experience managing and scaling GPU/TPU clusters for heavy compute workloads.
Generative AI: Specific experience deploying and scaling Large Language Models (LLMs).

Good to have :
GCP Certification: Professional Cloud DevOps Engineer or Professional Machine Learning Engineer certification is highly preferred.
Problem Solving: A proactive mindset regarding "Automate Everything" and the ability to troubleshoot complex distributed systems.
Communication: Ability to act as a bridge between Data Science, Software Engineering, and Security teams.

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, lets turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll 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. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll 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.

Youll shape your career by joining a company built to grow and last. Youll 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 teamone of the largest IT and business consulting services firms in the world.