The Serving delivery team at Pinterest is responsible for ensuring that Pinners have a safe and engaging experience using Pinterest. We work with ML teams to serve ML decisions on content that gets shown to pinners across the entire Pinterest product. As a staff software engineer, you will be a leader in designing and building our high qps/ low latency serving platform that is in the critical serving path for all content served to users. You’ll work closely with ML engineers, indexing/ ranking teams and the api team at Pinterest with a goal of maintaining the Pinterest brand as the safe corner of the internet. The role involves working with leadership to shape the future roadmap of our systems and directly supporting the careers of ICs on the team through mentorship. 

What you’ll do

• Design and develop highly scalable, reliable and performant software systems to power content quality and safety infrastructure at Pinterest
• Provide technical leadership, mentoring and guidance to other engineers on the team
• Collaborate cross-functionally with product, design, data science and other engineering teams to define roadmaps and deliver high-impact projects
• Drive engineering best practices and processes to continuously improve software quality, reliability and developer productivity
• Actively contribute to Pinterest's technical culture through code reviews, tech talks, open source projects and recruiting

What we’re looking for

• 10+ years of experience building and shipping large-scale software systems in a product-driven environment
• Bachelor’s or Master’s degree in a relevant field such as Computer Science, or equivalent experience
• Experience leading the design and development of complex, high-performance distributed systems and microservices architectures
• Proven track record of technical leadership and successfully delivering projects with multiple dependencies and stakeholders
• Experience with big data processing frameworks (e.g. Spark, Flink) and building data pipelines
• Domain experience in building Trust and Safety systems at scale

This position is not eligible for relocation assistance.

In-Office Requirement Statement
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

This role will need to be in the office for in-person collaboration 1-2 times perhalf and therefore needs to be in a commutable distance from the Toronto office (85 Richmond St. W)

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