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Staff Software Engineer, Storage Services

Pinterest

RemoteNew York, NY, US; Remote, USFull TimeStaff$177.2k/yrH-1B sponsor company
Sign in to applyVerified 1h ago
Location
New York, NY, US; Remote, US
Employment
Full Time
Work model
Remote
Level
Staff
Salary
$177.2k/yr
H-1B history
53 approvals (FY2023)
Posted
1h ago

Skills

JavaPythonSQL

About this role

About Pinterest

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.

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.

What we're looking for

• Bachelor’s degree in computer science, a related field or equivalent experience.

• 8+ years of hands-on backend software engineering

Listing verified 1h ago. Applications go through the company's official careers site.

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Staff Software Engineer, Storage Services at Pinterest, New York, NY, US; Remote, US | Yoinka