Senior Software Engineer

pinterestjobadvertisements; Stati Uniti; Remoto; USD 203.000 - 255.000; Tempo pieno

Descrizione del lavoro

Pinterest is seeking a senior engineering leader to drive risk detection, measurement, and addressing platform risks across teams. You will build scalable data workflows and automated reporting to improve reliability and reproducibility.

This role also involves cross-team technical leadership, mentoring, and solving production issues. The ideal candidate has a Master’s in a quantitative field and 2+ years of software/data experience, with hands-on Python, SQL, Spark, Jupyter notebooks, and Git.

Competenze

• Master’s degree or equivalent in data science, analytics, computer science, or a closely related quantitative field.
• 2+ years of experience in software engineering or data analytics/data science work.
• At least 1 year of experience with Python, SQL, Spark, Jupyter notebooks, and Git, including production‑quality development and large‑scale data processing.
• Software engineering experience spanning design, testing, deployment, and operation, focusing on reliability, security, scalability, and maintainability.
• System design skills for distributed services, including APIs, data models, service boundaries, storage, performance, and reliability trade-offs.
• Experience building AI agent workflows that coordinate multi-step tasks, use tools and information sources, handle exceptions, and include evaluation and safeguards.

Mansioni

• Lead complex projects with multiple teams to identify and triage platform risks proactively and automatically.
• Design and build scalable, maintainable services that let stakeholders assess and quantify risks through self-service tools.
• Improve architecture and reduce technical debt, with emphasis on reliable measurement, system reliability, and reproducible results.
• Investigate production problems involving automated reporting, measurement approaches, and risk engineering, and lead their resolution.
• Mentor engineers and cross-functional partners on engineering practices; identify process gaps and improve team workflows.

Conoscenze

Cross-team leadership

Experience leading engineering teams

Formazione

Master’s degree in data science/analytics/computer science

Strumenti

Python

SQL

Spark

Jupyter notebooks

Git

Descrizione del lavoro

Role overview

Lead engineering work that helps teams detect, measure, and address risks to a large online platform. You will build scalable services and data workflows for automated risk reporting, while improving system reliability, measurement quality, and reproducibility. The role also includes cross-team technical leadership, mentoring, and production issue resolution.

Responsibilities

• Lead complex projects with multiple teams to identify and triage platform risks proactively and automatically.
• Design and build scalable, maintainable services that let stakeholders assess and quantify risks through self-service tools.
• Improve architecture and reduce technical debt, with emphasis on reliable measurement, system reliability, and reproducible results.
• Investigate production problems involving automated reporting, measurement approaches, and risk engineering, and lead their resolution.
• Mentor engineers and cross-functional partners on engineering practices; identify process gaps and improve team workflows.

Requirements

• Master’s degree or equivalent in data science, analytics, computer science, or a closely related quantitative field.
• At least two years of experience in the offered role, software engineering, or data analytics/data science work.
• At least one year of experience with Python, SQL, Spark, Jupyter notebooks, and Git, including production-quality development and large-scale data processing.
• Software engineering experience spanning design, testing, deployment, and operation, with attention to reliability, security, scalability, and maintainability.
• System design skills for distributed services, including APIs, data models, service boundaries, storage, performance, and reliability trade-offs.
• Experience building AI agent workflows that coordinate multi-step tasks, use tools and information sources, handle exceptions, and include evaluation and safeguards.

Benefits and work setup

• Full-time telecommuting is available.
• Listed annual salary range: $203,000–$254,667.