Senior Software Engineer
About the role
Who you are
- We are looking for someone who will be excited by the prospect of optimizing, enhancing or even re-designing our company’s data architecture/pipelines to support our next generation data initiatives
- Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
- Must have 4+ years of experience working in Data Infrastructure
- Flexibility for working and owning different Data Engineering systems. Open to working on the areas with highest priority for the company at a given time
- Operational mindset with ability to do Problem diagnosis, Root cause analysis, Performance tuning and Incident Management
- Proficiency in Python and SQL query design
- Proficiency with big data processing frameworks, like: Hive, Spark and Trino
- Experience building data-intensive applications (high velocity/high volume)
- Experience with SQL/NoSQL data store & data lake operations
- Hands-on experience with AWS technologies like S3, EC2, RDS, EKS, or in Apache Iceberg
- Flexible and positive team player with good interpersonal skills
What the job involves
- This role will be working on our Quora product
- Our data infrastructure team is responsible for all things data - data lake, data pipelines, distributed query engines, experimentation framework, data dashboards and visualization tools and so on
- Our data-ecosystems is composed of open source technologies like Kafka, Hive, Trino, Spark and Airflow, along with a few in-house-built systems
- As a member of our team you would spend time designing and scaling our existing infrastructure, improving system’s reliability, working closely with other teams to improve or create new tooling for our infrastructure, and promoting the correct use of data at the company
- Design and implement scalable and efficient data architectures, meeting data needs from data scientists, engineers and business partners
- Identify and implement improvements to system’s cost efficiency, reducing data storage and processing costs
- Bring your expertise to help model structured & unstructured data. Own these data models at a high level & be a data consultant for partner teams
- Champion best practices on system usages and hold high-quality code standards
- Participate in the team’s on call rotation, helping solve timely reliability incidents
About Quora
The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people’s heads, or buried in books and papers that only experts can access. Our mission is to share and grow the world's knowledge, and we're building a world-class team to help us achieve this mission.
To do so, we have two knowledge sharing products:
Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-4, Claude 3, Gemini Pro, DALL-E 3 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.
Visit quora.com/careers to browse open roles and apply online.
Quora company blog: blog.quora.com Engineering blog: engineering.quora.com Design blog: design.quora.com Data blog: data.quora.com Recruiting blog: interviewingatquora.quora.com/ Intern blog: quorainterns.quora.com
Senior Software Engineer
About the role
Who you are
- We are looking for someone who will be excited by the prospect of optimizing, enhancing or even re-designing our company’s data architecture/pipelines to support our next generation data initiatives
- Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
- Must have 4+ years of experience working in Data Infrastructure
- Flexibility for working and owning different Data Engineering systems. Open to working on the areas with highest priority for the company at a given time
- Operational mindset with ability to do Problem diagnosis, Root cause analysis, Performance tuning and Incident Management
- Proficiency in Python and SQL query design
- Proficiency with big data processing frameworks, like: Hive, Spark and Trino
- Experience building data-intensive applications (high velocity/high volume)
- Experience with SQL/NoSQL data store & data lake operations
- Hands-on experience with AWS technologies like S3, EC2, RDS, EKS, or in Apache Iceberg
- Flexible and positive team player with good interpersonal skills
What the job involves
- This role will be working on our Quora product
- Our data infrastructure team is responsible for all things data - data lake, data pipelines, distributed query engines, experimentation framework, data dashboards and visualization tools and so on
- Our data-ecosystems is composed of open source technologies like Kafka, Hive, Trino, Spark and Airflow, along with a few in-house-built systems
- As a member of our team you would spend time designing and scaling our existing infrastructure, improving system’s reliability, working closely with other teams to improve or create new tooling for our infrastructure, and promoting the correct use of data at the company
- Design and implement scalable and efficient data architectures, meeting data needs from data scientists, engineers and business partners
- Identify and implement improvements to system’s cost efficiency, reducing data storage and processing costs
- Bring your expertise to help model structured & unstructured data. Own these data models at a high level & be a data consultant for partner teams
- Champion best practices on system usages and hold high-quality code standards
- Participate in the team’s on call rotation, helping solve timely reliability incidents
About Quora
The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people’s heads, or buried in books and papers that only experts can access. Our mission is to share and grow the world's knowledge, and we're building a world-class team to help us achieve this mission.
To do so, we have two knowledge sharing products:
Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-4, Claude 3, Gemini Pro, DALL-E 3 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.
Visit quora.com/careers to browse open roles and apply online.
Quora company blog: blog.quora.com Engineering blog: engineering.quora.com Design blog: design.quora.com Data blog: data.quora.com Recruiting blog: interviewingatquora.quora.com/ Intern blog: quorainterns.quora.com