Technical Architect 4C
About the role
Ready to turn bold ideas into real-world impact?
Job Responsibilities
- Design, deploy, and manage scalable cloud-native infrastructure and applications on
Google Cloud Platform (GCP)
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
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.
Qualifications
Certifications
Required Skills
Language
Language Proficiency -
Job Type
Master Skill List -
Remote Type -
Work Shift -
The approximate annual base compensation range for this position is
• Lead AI-powered transformation
• Make an impact
• Accelerate your career
• Work with the best
• Thrive in a values-driven culture
Not included in the source posting: about the role.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.