Technical Architect

Technical Architect Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform ther tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.

Get to know us at  and on Linked In, You Tube, X, and Facebook.

Job Description

Job Responsibilities Design, deploy, and manage scalable cloud-native infrastructure and applications on Google Cloud Platform (GCP), with a strong focus on Google Kubernetes Engine (GKE).Develop and maintain Infrastructure as Code (IaC) solutions using Terraform to automate cloud provisioning and configuration management.

Build, manage, and optimize Kubernetes deployments using Helm charts and container orchestration best practices.

Design and implement robust CI/CD pipelines using Git Hub Actions and other automation tools to support rapid and reliable software delivery.

Develop automation scripts and operational tooling using Python, Ansible, and Node.js to improve platform efficiency and reduce manual effort.

Implement and maintain end-to-end monitoring, alerting, and observability solutions using Prometheus, Grafana, and related tools.

Troubleshoot and resolve production incidents, perform root cause analysis, and participate in on-call support and incident management activities.

Ensure platform reliability, performance, and security through proactive monitoring, capacity planning, and system optimization.

Collaborate with development, infrastructure, and operations teams to support large-scale distributed applications and microservices-based architectures.

Manage Linux-based environments and leverage networking fundamentals to diagnose and resolve complex infrastructure issues.

Drive automation initiatives across infrastructure, deployment, monitoring, and operational processes.

Support the adoption of AI/ML and AIOps practices, including model lifecycle monitoring, AI-driven alerting, and operational intelligence solutions.

Contribute to the design and operation of MLOps platforms and workflows, including AI/ML infrastructure and cloud-native data processing pipelines.

Evaluate and integrate emerging technologies such as Kubeflow, Vertex AI, predictive analytics, and AI-enabled automation to improve operational efficiency and system reliability.

Partner with stakeholders to implement AI-driven monitoring, anomaly detection, and intelligent incident response capabilities across enterprise platforms.

Qualifications Bachelors
- Computer Engineering, Bachelors
- Computer Science, Bachelors
- Information Technology, Masters
- Information Systems, Masters
- Software Engineering

Certifications AWS Certified Solutions Architect
- Associate
- Udemy Udemy, Certified Data Management Professional
- Riversand Riversand, Certified Information Systems Security Professional…