Zafin

HQ
Toronto
Total Offices: 10
450 Total Employees
Year Founded: 2002

Zafin Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers supplemental life insurance

Offers disability insurance

Offers charitable contribution matching

Offers accidental death & dismemberment insurance

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Provides family medical leave

Offers generous parental leave

Offers performance bonuses

Offers employee discounts

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid holidays

Offers sabbatical leave

Offers unpaid extended leave

Offers paid volunteer time

Provides paid sick days

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Offers apprenticeship programs

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Offers diversity-based Employee Resource Groups

Provides a mobile phone discount

Offers legal assistance

Offers travel concierge services

Recently posted jobs

2 Days AgoSaved
In-Office
Trivandrum, Thiruvananthapuram, Kerala, IND
Fintech • Payments • Software
The Cloud Site Reliability Engineer I will oversee cloud infrastructure reliability, manage incidents, optimize performance, and mentor junior engineers, ensuring operational excellence.
4 Days AgoSaved
In-Office
Toronto, ON, CAN
Fintech • Payments • Software
Lead a cloud operations engineering team to ensure scalable, secure, highly available cloud infrastructure. Provide technical leadership, troubleshoot Linux systems, author automation and scripts, run RCA, liaise with customers, and improve operational processes.
6 Days AgoSaved
In-Office
Trivandrum, Thiruvananthapuram, Kerala, IND
Fintech • Payments • Software
The Data Engineer II will design and build data pipelines, manage infrastructure, ensure data quality, and optimize performance for analytics products.