Senior Software Engineer - Data Infrastructure; Remote

Senior Software Engineer - Data Infrastructure, Quora (Remote)

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[ Quora is a privately held, "remote-first" company. This position can be performed remotely from multiple countries around the world. Please visit  for details regarding employment eligibility by country.]

• Quora: a global knowledge sharing platform with over 300M 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-5, Claude Sonnet 4.5, Grok 4, Veo 3.1, Gemini 2.5 Flash Image (Nano Banana), and more.

• 🚀 Migrating a Decade of Redshift Usages to Trino at Quora:
  Dive into how we transformed our data ecosystem, enhancing efficiency and performance!
• ⚡ Revamping the Spark Ecosystem at Quora:
  Explore our efforts to elevate Spark, making it more powerful and user-friendly for our engineering teams!
• 🎥 Adopting Trino's Fault-tolerant Execution Mode at Trino Summit 2023:
  Catch the highlights from our presentation at the Trino Summit, where we shared insights on building resilience in data processing!

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 are 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.

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.

• 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 oncall rotation, helping solve timely reliability incidents

• 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/No
  
  SQL 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

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a…