Engineering Manager, Cloud Platform
Five9 · Bangalore, India (Hybrid) · Platform - Product Engineering
About this role
Five9 is hiring a manager-level Engineering Manager in the software engineering function based in Bangalore, India (Hybrid) (hybrid). The posting calls out experience with Python, Kubernetes, Terraform, Helm.
- Role
- Engineering Manager
- Function
- software engineering
- Level
- manager
- Track
- hybrid
- Employment
- Full-time
- Location
- Bangalore, India (Hybrid)
- Work mode
- Hybrid
- Department
- Platform - Product Engineering
More roles at Five9
Job description
from Five9 careersJoin us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.
Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.
Engineering Manager, Cloud Platform
About the Role
We are establishing a dedicated India-based engineering team to build and operate an end-to-end Email-as-a-Service (EaaS) platform for our product. This platform will handle automated delivery of alerts, reports, and system notifications at scale. As Engineering Manager, you will simultaneously shape the technical architecture and grow the team, reporting directly to senior product and engineering leadership.
This is a dual-track role: you are expected to be deeply technical while also being an effective people manager and cross-functional collaborator. You will own both the quality of the technical output and the health of the team delivering it.
What You Will Own
- Technical Architecture
- Define and evolve the architecture for the email delivery platform, covering IaC design, service topology, reliability patterns, and scalability strategy.
- Set engineering standards for Terraform/OpenTofu module design, OpenStack/Rancher deployments, and Kubernetes-based workloads.