HackerRank

HQ
Mountain View
Total Offices: 4
1,053 Total Employees
Year Founded: 2012

HackerRank 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 company equity

Offers employee discounts

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Provides family medical leave

Offers generous parental leave

Company Culture

Provides commuter benefits

Provides a mobile phone discount

Offers legal assistance

Provides free snacks and drinks

Offers travel concierge services

Utilizes a flexible work schedule

Offers a remote work program

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid holidays

Provides bereavement leave

Offers unpaid extended leave

Offers paid volunteer time

Provides paid sick days

Provides military leave

Career Growth + Development

Provides customized development tracks

Recently posted jobs

12 Hours AgoSaved
In-Office
Santa Clara, CA, USA
HR Tech • Information Technology • Software
The Senior Backend Engineer will architect and implement backend systems, lead technical initiatives, mentor engineers, and ensure system reliability, performance, and scalability.
YesterdaySaved
In-Office
London, Greater London, England, GBR
HR Tech • Information Technology • Software
As a Forward Deployed Engineer, you will lead customer engagements, partner with stakeholders to uncover developer needs, and oversee project execution, leveraging technical skills in web applications and API scripting.
2 Days AgoSaved
In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
HR Tech • Information Technology • Software
Own and evolve HackerRank's data platform (StarRocks, Apache Hudi, Trino, Spark, Ranger), build AI-optimized data layer for natural language querying, deliver in-product data features and self-serve pipelines, enforce data security, lead technical design reviews, and partner with PMs to scope AI-enabled use cases.