Software Engineer

Pinterest
United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Compensation
$177,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Big Data C++ (Programming Language) Databases Data Structures Data Stores Shard (Database Architecture) Distributed Data Store Distributed Systems Python (Programming Language) NoSQL
+7 more
Performance Tuning Software Engineering SQL Databases Transaction Processing (Computing) Data Storage Technologies Backend Information Technology

Job description

The Storage Services team operates Pinterest’s scalable online structured data storage platform-supporting both SQL-based table models and complex graph data structures-managing 100TB+ datasets and serving over 1.5M queries per second across many of Pinterest’s most important products. We’re looking for an exceptional Staff Software Engineer to lead the technical strategy and execution of our storage infrastructure initiatives, defining how these systems are designed, built, and operated. You’ll drive innovation across distributed SQL, high-throughput/low-latency query processing, graph workloads, and the developer experience for storage clients.

What you’ll do:

  • Provide technical guidance and direction to a high-performing team building reliable, performant, and cost-efficient storage systems that operate at massive scale and power business-critical applications across the company.
  • Lead the architecture, design, and evolution of online structured storage services supporting both SQL/table-style and graph-style workloads over large-scale datasets.
  • Drive cross-functional strategic initiatives to modernize the storage tech stack-including transitioning datasets and workloads onto the TiDB backend-while advancing reliability, scalability, cost efficiency, and developer velocity.
  • Improve query throughput and latency across systems handling 100TB+ datasets and 1.5M+ queries per second, using rigorous measurement, experimentation, and performance engineering.
  • Use AI to accelerate system design and decision-making-prototyping approaches, exploring and comparing architectural options, and synthesizing findings-while applying judgment and verification to ensure correctness and quality.
  • Use AI to automate repeatable operational work (documentation, runbooks, reporting, and QA checks), freeing the team to focus on high-leverage engineering.
  • Serve on the Storage Services on-call rotation-monitoring, responding to alerts, diagnosing and resolving critical issues, and communicating status-and set the bar for technical excellence through strong design reviews, operational readiness, and blameless post-incident reviews.
  • Mentor senior engineers, developing the next generation of storage infrastructure leaders and technical experts., * We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 1-2 times/month and therefore can be situated anywhere in the country.

Requirements

  • Bachelor’s degree in computer science, a related field or equivalent experience.
  • 8+ years of hands-on backend software engineering experience in large-scale distributed systems.
  • Experience building and/or managing core infrastructure systems at scale, preferably in online structured data storage, distributed databases, or large-scale data platforms.
  • Hands-on experience building and operating highly available, reliable, production-grade systems at scale, including incident response, capacity planning, schema/architecture evolution, and performance tuning.
  • Strong understanding of at least one of:
  • Distributed SQL or NoSQL databases and their internals (e.g., sharding, replication, consensus, transaction processing), or
  • Large-scale graph or relationship-oriented data stores and query patterns.
  • Experience working with or migrating to modern distributed storage/database technologies (experience with systems like TiDB or similar is a strong plus).
  • Demonstrated technical leadership in setting roadmap and driving execution - including defining technical direction, leading engineering alignment, and partnering across teams to deliver complex platform investments.
  • Strong problem-solving skills and analytical mindset, with the ability to use data to guide decisions.
  • Experience coding in one of the following languages: Java, Python and/or C/C++.
  • Demonstrated experience leveraging AI to accelerate development, enhance operations, and improve customer support.

About the company

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

At Pinterest, AI isn’t just a feature, it’s a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

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Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

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Defining big data and machine learning fundamentals

Ayon Roy · LIVE

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Prioritizing communication and structural awareness over strict tool mastery

Liam Hurrel +1 · World Congress 2021

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Transitioning into backend engineering from web development

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

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Terminology differences between relational and NoSQL databases

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