Staff Software Engineer, Platform & Infrastructure
Qualified.com230,000 - 260,000 USD/year
- Full Time
- Expert & Leadership (9+ years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Internet, Knowledge Sharing Platforms, AI/ML PlatformsIndustries
Requirements
Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, and have at least 3 years of experience working on large-scale distributed systems. Familiarity with data storage systems such as MySQL, MyRocks, HBase, Memcached, Redis, and traffic handling technologies like DNS, CDN, and load balancing is required, along with proficiency in a programming language like Python or C++.
Responsibilities
As a Software Engineer - Infrastructure, the individual will own backend databases and services, continuously improve the scalability, reliability, and efficiency of infrastructure systems, write and review code, plan and execute upgrades, develop documentation, and debug production issues. They will also build monitoring tools and automation to increase team efficiency, share on-call rotation responsibilities, and contribute to the overall operational health of Quora’s infrastructure.
Skills
API design
Infrastructure
Extensible and maintainable code
Continuous deployment
High-quality coding
Problem-solving
Collaboration
Quora
Global knowledge sharing and AI integration platform
About Quora
Quora is a global platform for knowledge sharing that attracts over 400 million unique visitors each month. It allows users to share insights on a wide variety of topics, creating a community focused on learning and connection. Users include individuals looking for information, experts sharing their knowledge, and businesses engaging with a knowledgeable audience. Quora also features Poe, a platform that combines several AI language models like GPT-4 and DALL-E 3, enabling users to chat and explore these technologies in one place. Unlike many competitors, Quora's business model relies on targeted advertising to its large user base, allowing it to continuously expand its offerings to meet user needs.
Key Metrics
Mountain View, CaliforniaHeadquarters
2009Year Founded
$351.2MTotal Funding
LATE_VCCompany Stage
Consumer Software, AI & Machine Learning, EducationIndustries
1,001-5,000Employees