NetSpring is a Cloud platform-as-a-service for Operational Analytics. NetSpring’s mission is to empower enterprises to reach their peak of operational efficiency by infusing analytics in every day-to-day operational decision. We provide the best software to measure, monitor, alert and act on all operational business data with speed and at scale. NetSpring aims to be the data-driven central nervous system of every enterprise. Essential to that aim, is building a powerful cloud-native, multi-tenant SaaS application platform with powerful data connectivity, modeling and advanced analytics capabilities. That’s where you come in.
We are a team of seasoned software professionals who have built multi-billion dollar companies from scratch. The founders were part of the founding team at ThoughtSpot, a revolutionary new Business Intelligence company. We have deep expertise in enterprise software, large-scale distributed systems, data processing, data visualization and analytics. NetSpring is funded by top-tier Silicon Valley venture capital firms – Khosla Ventures and Dell Technologies Capital.
What You Will Do
Own and operate the kubernetes-based NetSpring SaaS service across the three major cloud platforms
Architect and build the control plane and data plane for the NetSpring service.
Use terraform to orchestrate the various pieces of the control and data planes.
Propose and implement solutions for seamless data connectivity (VPC peering, API key based authentication etc) between the NetSpring SaaS service and myriad customer data sources in various configurations
Implement a robust metrics / log aggregation framework to be used by various NetSpring microservices
Identify important metrics and build a metrics-driven culture around tracking those metrics
Build and maintain CI / CD pipelines for deploying code to the NetSpring SaaS service
Control cloud infrastructure costs by leveraging elasticity and making smart choices about cloud architecture and resource usage
Skills you possess
Expertise in building and supporting large scale Cloud/SaaS applications
4+ years of direct experience with Kubernetes based microservice architectures
Direct experience with AWS is required
Google Cloud / Azure experience is a plus
Deep familiarity and experience with terraform and infrastructure-as-code philosophy
Experience with new-age logging / metrics collection frameworks is a plus.
Familiarity with microservices, application servers, distributed caches, streaming platforms, application development and testing frameworks
Well versed in modern, large-scale, cross-functional software development best practices