Cloud Engineer
Kasba Peth, Pune
5 years
KubernetesGolangPython courseUnix/Linux operating systemsShell ScriptContainerizationDistributed scalable systemsGoogle Cloud Platform (GCP)Infrastructure as Code (IaC)Cloud Infrastructure ManagementAutomation Script AnalysisSaaS Platform DevelopmentFault ToleranceNetwork ManagementIncident ResponseCommunication and Soft SkillsTechnical ManagementPower System TroubleshootingResource ManagementData Storage
Job Description:
The Role and Team
As part of Medallia’s Cloud Engineering Team, Core Infrastructure thrives on collaboration, mutual support, openness to new ideas, and solving problems at a deep, systemic level.
This team is responsible for building and maintaining large distributed components that run Medallia’s cloud. Our code serves millions of requests per second and does so with sub-second latency and fault tolerance. We handle everything from scale: compute, data storage, to synchronization and coordination of large server clusters, to providing a runtime environment for all Medallia’s applications.
We are looking for candidates who share a passion for tackling complexity and building platforms that can scale through multiple orders of magnitude.
This role is based remotely in Pune. Candidates for this position are required to reside within the Pune metropolitan area. Relocation support is not available at this time.
Responsibilities
Troubleshoot complex problems that may span the full service stack.
Deploy and update applications within our systems foundation (compute, storage, network, etc.)
Operate our large scale Kubernetes Clusters in both clouds and Colocation data centers.
Proactively monitor and manage the availability of infrastructure and applications.
Be a part of the Cloud Infrastructure team on-call rotation for escalations.
Design code and operate core backend software components to manage Infrastructure.
Build automation to enable the cloud to be automatically maintainable.
Code primarily using Golang, Python.
Interface with application development teams to incorporate requirements.
Work closely with other engineering teams to eliminate technical debt.
Qualifications
Minimum 5+ yrs Experience operating a SaaS platform as an Ops or DevOps engineer
Experience managing Kubernetes clusters at scale
Understanding of the Linux operating system and Shell scripting
Experience with Containerization
Preferred Qualifications
Software development experience in Python and/or Go
Experience designing distributed systems
Experience with Public Clouds and IaC
Excellent verbal and written communication skills
Proven ability to work collaboratively across and within teams














































