Software Engineer New Grad - Data Infrastructure; Remote

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’s mission is to grow the world's collective intelligence. To do so, we have two platforms:

• 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-5.2, Claude Opus 4.5, Grok 4.1, Veo 3.1, Nano Banana Pro (Gemini 3 Pro Image), and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

Our small data infrastructure team owns everything data—the data lake, pipelines, query engines, A/B testing infrastructure, dashboards, and visualization tools. We run on open source technologies like Kafka, Iceberg, Trino, Spark, and Airflow, alongside a few systems we've built in-house, our main programming language is Python.

No previous data infrastructure experience required for this role. You'll go through a mentorship program and hands-on technical training, working on meaningful projects across our stack from day one.

We're looking for someone curious about large-scale infra and excited by the chance to improve the reliability of critical services, to drive significant cost and performance wins and to boost productivity improving dev tools used across the company.

🌟
Discover Our Team's Exciting Projects! 🌟

Join us on a journey through some of our standout achievements that showcase innovation and collaboration at Quora:

• 🚀 Migrating a Decade of Redshift Usages to Trino at Quora
• ⚡ Revamping the Spark Ecosystem at Quora
• 🎥 Adopting Trino's Fault-tolerant Execution Mode at Trino Summit 2023

Dive into how we transformed our data ecosystem, enhancing efficiency and performance! Explore our efforts to elevate Spark, our main engine for data processing, making it more powerful and user-friendly for our engineering teams. Get inspired by the impact we're making, and imagine the possibilities for your own journey with us!

• Help implement scalable and efficient data architectures, meeting data needs from data scientists, engineers and business partners
• Actively participate in the team’s planning process, discussing team’s priorities and proposing project ideas as you grow your knowledge and ownership in data-infra systems
• Identify and implement improvements to system’s cost efficiency, reducing data storage and processing costs
• 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)
• A 2025 or 2026 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
• Interest in scalability challenges and infrastructure technologies
• A passion for learning, always improving yourself and the team around you

• Previous software engineering experience via an internship, work experience, or coding competition
• Passion for Quora's mission and goals
• Knowledge of Python and SQL

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…