> Markdown version of [/jobs/ext/4218884-technical-architect-4c](https://www.wearedevelopers.com/jobs/ext/4218884-technical-architect-4c). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Technical Architect 4C

- **Company:** Genpact
- **Location:** Phoenix, AZ, United States
- **Salary:** $60,000.0 - $75,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Cloud Engineering, Configuration Management, Software Code Optimization, Collaborative Software, Information Systems, Computer Engineering, Distributed Systems, Github, Information Systems Security Architecture Professional, Python (Programming Language), Linux System Administration, Networking Basics, Node.Js, Ansible, Prometheus, Software Engineering, Google Cloud, Cloud Platform System, Delivery Pipeline, Grafana, Kubernetes Helm Charts, Reliability of Systems, Infrastructure as Code (IaC), Togaf, Kubernetes, Information Technology, Performance Monitor, Data Management, Machine Learning Operations, Terraform, AIOps, Data Pipelines, Microservices
- **Published:** October 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d40514f5e5669723

## About the Role

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

Certifications
AWS Certified Solutions Architect - Associate - UdemyUdemy, Certified Data Management Professional - RiversandRiversand, Certified Information Systems Security Professional (CISSP) - Workforce Academy OnlineWorkforce Academy Online, Certified Kubernetes Administrator (CKA) - CNCF (Cloud Native Computing Foundation)CNCF (Cloud Native Computing Foundation), TOGAF 9 Certification - The Open Group Architecture Framework (TOGAF)The Open Group Architecture Framework (TOGAF)

Required Skills
Agile Methodology, Change Management, Client Relations, Collaboration Tools, Design Thinking, Executive Presence, Inclusion, Modernizing Operations, People Leadership, Personal Effectiveness, Risk Management, Storytelling

Language
English

Language Proficiency -
Proficient - C2

## Description

* 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 GitHub 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.