Pythian
Pythian Benefits Overview
Compensation + Benefits
Offers 401(K)
Offers life insurance
Offers disability insurance
Offers accidental death & dismemberment insurance
Offers company equity
Offers dental insurance
Offers vision insurance
Offers health insurance
Offers mental health benefits
Provides family medical leave
Offers generous parental leave
Work-Life Balance + Wellbeing
Offers company-sponsored outings
Offers gym membership
Offers generous PTO
Provides paid holidays
Provides bereavement leave
Offers paid volunteer time
Provides paid sick days
Career Growth + Development
Provides customized development tracks
Job training & conferences
Company Culture
Utilizes a flexible work schedule
Offers a remote work program
Offers diversity-based Employee Resource Groups
Recently posted jobs
Cloud • Analytics
Operate and administer cloud infrastructure (Google Cloud, AWS), automate tasks with Python/Scala, manage containers (Kubernetes/Docker), design/maintain IaC, troubleshoot systems and networks, perform root-cause analysis, improve resiliency, document processes, advise clients, and participate in on-call rotations.
Cloud • Analytics
Administer, secure, and optimize hybrid Azure and Windows Server environments. Deploy and maintain IaaS/PaaS workloads, manage hybrid identity (Azure AD Connect/SSO), networking (VNet, NSG, VPN), patching, backup/recovery, monitoring, VMware and data center infrastructure. Automate tasks with PowerShell and IaC (ARM/Bicep/Terraform), perform incident management and RCA, participate in on-call rotations, and collaborate on migrations, upgrades, and documentation to ensure availability, performance, and compliance.
Cloud • Analytics
Design, deploy, and operate large-scale distributed systems; manage Kubernetes, Istio, and Linux environments; automate workflows with Go/Python/shell; build observability with Prometheus/Grafana/Loki; troubleshoot networking, storage, and performance; participate in on-call rotations and postmortems; collaborate with AI/ML teams to ensure infrastructure readiness for model training and data pipelines.
