HackerRank
Technical Support Engineer
Hybrid in Santa Clara, CA
Sponsorship not specified$100k-$130kDetected 116 days ago
PythonRubyFull-Stack DevelopmentSQLAWSGCPRESTRecruitingCustomer SupportPostmanCommunication
About the role
- Your work will enhance reliability, reduce friction, and make HackerRank more user-friendly for everyone.
Responsibilities
- Collaborate with engineering teams to reproduce issues, identify root causes, and validate fixes.
- Can build scripts and tools that accelerate and standardize troubleshooting.
Requirements
- 2+ years of experience in a technical support or product support role for a SaaS platform.
- You are curious, passionate, and do not tolerate inefficiency
Skills
- As this shift accelerates, the definition of strong technical talent is changing.
Compensation
- The base salary range for this role is $100,000 - $130,000, plus a target 10% annual bonus tied to individual and company performance.
Benefits
- You will also receive equity (stock options) and a comprehensive package of cash and non-cash benefits.
- We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status.
Company info
- You'll investigate and resolve complex issues, work closely with engineering and product teams, and help customers maximize the benefits of our technology.
- Guide customers through SSO (SAML/OIDC) and SCIM integration setup, primarily with Okta and other IdPs. standards, such as SAML and SCIM.
- Exhibit exceptional ownership and communication skills, clearly and confidently engaging with customers through tickets and live Zoom sessions.
Equal opportunity
- HackerRank is a proud equal employment opportunity and affirmative action employer.
- We provide equal opportunity to everyone for employment based on individual performance and qualification.
- All your information will be kept confidential according to EEO guidelines.
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This listing is sourced directly from HackerRank's careers page and normalized into a canonical job model.