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Pinterest Software Engineer Jobs (NOW HIRING)

Pinterest

Software Engineer II, ML Platform, tvScientific

$99K - $136K/yr

Pinterest is a platform that inspires creativity and innovation, and they are seeking a Software Engineer II to join their ML Platform team at tvScientific. The role focuses on improving real-time ...

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$63.5K

$147.5K

$205.5K

How much do pinterest software engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for pinterest software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a Pinterest Software Engineer job?

A Pinterest Software Engineer is responsible for designing, developing, and maintaining software systems that power Pinterest’s platform. They work on a variety of technical challenges, such as improving recommendation algorithms, scaling infrastructure, and enhancing user experiences. Engineers collaborate closely with product managers, designers, and data scientists to build innovative features. Pinterest Software Engineers use technologies like Python, Java, and distributed systems to ensure a seamless and engaging user experience.

What is the typical work environment and team structure for Software Engineers at Pinterest?

At Pinterest, Software Engineers typically work in cross-functional teams that include product managers, designers, data scientists, and other engineers. The work environment is collaborative and fast-paced, promoting open communication through agile development practices and regular team meetings. Engineers often focus on specific product areas or infrastructure projects but frequently collaborate across departments to deliver features and improve platform performance. This structure supports continuous learning and offers excellent opportunities for personal and career growth, as team members are encouraged to contribute ideas and take ownership of key projects.

What are the key skills and qualifications needed to thrive in the Pinterest Software Engineer position, and why are they important?

To thrive as a Pinterest Software Engineer, you need strong proficiency in computer science fundamentals, coding (commonly in Python, Java, or C++), and experience with distributed systems or large-scale web applications, typically supported by a relevant degree or equivalent experience. Familiarity with modern development tools, cloud platforms, version control systems like Git, and possibly certifications in software engineering or cloud services are beneficial. Effective communication, creative problem-solving, and the ability to collaborate across multifunctional teams are standout soft skills. These competencies enable engineers to build scalable products, quickly solve technical challenges, and work effectively within Pinterest’s fast-paced, innovative environment.

More about Pinterest Software Engineer jobs
What cities are hiring for Pinterest Software Engineer jobs? Cities with the most Pinterest Software Engineer job openings:
What are the most commonly searched types of Pinterest Software Engineer jobs? The most popular types of Pinterest Software Engineer jobs are:
What states have the most Pinterest Software Engineer jobs? States with the most job openings for Pinterest Software Engineer jobs include:
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Pinterest Software Engineer jobs near you
Infographic showing various Pinterest Software Engineer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
Staff Software Engineer, Capacity Engineering

Staff Software Engineer, Capacity Engineering

Pinterest

San Francisco, CA • On-site, Remote

Other

Posted 8 days ago

Job description

Pinterest is seeking a Staff Software Engineer, Capacity Engineering. The team is responsible for efficiently managing one of the largest-scale cloud-native infrastructures in the world. This role is highly impactful, as efficiency is an ongoing strategic priority for Pinterest. The role has direct visibility across Pinterest Engineering and with Engineering and company leadership. The team is looking for a candidate with a strong background in implementing performance and efficiency projects on large scale distributed systems.

What you'll do

  • Improve the efficiency of large scale shared environments like Kubernetes
  • Improve the performance and efficiency of large scale distributed systems that drive Pinterest systems
  • Build develop and mature profiling and optimization capabilities for Pinterest scale 
  • Collaborate with Infrastructure Engineering and SRE teams in their mission to deliver highly available, resilient, secure and efficient foundations for Pinterest's tech stack
  • Leverage AI to scale the impact of yourself and the team, including:
    • Accelerate performance investigations (e.g. quickly distill logs/metrics/traces and prior learnings) while verifying findings through measurement and testing
    • Build tooling and agents that allow users to self-serve efficiency insights and recommendations
    • Iterate faster on optimization approaches and rollout plans, then validate impact with experiments and production guardrails

What we're looking for:

  • Bachelor's degree in computer science, a related field or equivalent experience
  • Deep understanding of infrastructure capacity and performance
  • Experience leading efficiency initiatives at scale on Kubernetes or other large scale shared infrastructure
  • Strong technical and performance engineering skills to collaborate with stakeholders on complex and ambiguous technical challenges
  • Experience building and managing highly available distributed applications at scale
  • Proficiency in software development languages such as Java, Python and C++
  • Excellent skills in communicating complex technical issues
  • Experience with AWS or similar cloud environments
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
  • Bonus points for the following:
    • Hands-on experience with large, cloud-native multi-tenant platforms at Internet scale

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/quarter and therefore can be situated anywhere in the country. 

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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