Sourced Job
Cloud Engineer

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

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