Job Description

The Trust Engineering - Serving Delivery team at Pinterest is responsible for ensuring that Pinners have a safe and engaging experience using Pinterest. Our platform is used by ML teams and Data Analysts to process billions of events everyday. As a staff software engineer, you will be a leader in designing and building our real time rule and action engine that is critical for protecting Pinterest against adversarial actors. 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
• 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, Kafka, Flink) and building data pipelines
• Domain experience in building Trust and Safety systems at scale
• Bachelor's or Master's degree in a relevant field such as Computer Science, or equivalent experience

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our

page to learn more about our working model.
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 once per month and therefore needs to be in a commutable distance from the Toronto office (85 Richmond St. W).
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Skills Required