Senior Software Engineer

Pinterest; United States; Remote; USD 203,000 - 255,000; Full time

Benefits offered by this job

Full-time telecommuting

Job summary

Pinterest, Inc. is seeking a Senior Engineer to lead complex cross-functional projects, build scalable risk and reliability frameworks, and mentor engineers to improve software quality.

The role focuses on automated risk identification, self-service platforms, and proactive production issue resolutions. Minimum requirements include a Master’s degree in a quantitative field and 2+ years in software/data roles, with expertise in Python, SQL, Spark, and distributed systems design.

Qualifications

• Master’s degree in Data Science, Analytics, CS or closely related quantitative discipline.

Responsibilities

• Lead complex technical projects with cross-functional stakeholders to identify and triage risks at scale.

Skills

Python

SQL

Spark

Jupyter Notebook

Git

Software Engineering

System Design

Agentic Workflow Construction

Education

Master’s degree in Data Science/Analytics/Computer Science

Tools

Python

Job description

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.

Job Duties: Lead complex technical projects involving multiple cross-functional stakeholders to proactively and automatically identify and triage risks on the Pinterest platform, designing and driving adoption of robust quality and reliability frameworks across teams. Design and implement scalable, maintainable services to provide automated, self-service, and reliable platforms that empower various stakeholders to identify and quantify risks at scale. Drive architectural improvements and technical debt reduction of the team’s system by defining robust software engineering approaches for measurement, system reliability, and reproducibility. Mentor junior engineers and partners across teams to scale adoption of engineering best practices, identify process gaps, and refine team workflows. Independently and proactively triage and lead resolutions of complex production issues related to automated reporting, measurement methodologies, and proactive risk engineering.

Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Data Science, Analytics, Computer Science, or closely related quantitative discipline and two (2) years of experience in the job offered or in a software engineer or in data analytical/ data science-related position.

Special Skill Requirements: At least one year in each of the following skills:

1. Python: Developing reliable, maintainable applications and data workflows using Python, including scripting, API development, automation, data processing, testing, debugging, and performance optimization.
2. SQL: Querying, analyzing, and transforming large datasets using efficient SQL, including complex joins, aggregations, window functions, data modeling, query optimization, and validation of business metrics.
3. Spark: Building and maintaining distributed data-processing pipelines with Spark, including batch and streaming workloads, ETL transformations, performance tuning, partitioning strategies, and scalable processing of high-volume datasets.
4. Jupyter Notebook: Conducting exploratory data analysis, prototyping models and algorithms, documenting technical findings, visualizing results, and creating reproducible analyses using Jupyter notebooks.
5. Git: Managing source code through Git-based version control, including branching strategies, pull requests, code reviews, conflict resolution, release management, and collaborative development workflows.
6. Software Engineering: Designing, developing, testing, deploying, and operating production-quality software, with emphasis on clean architecture, reliability, observability, security, scalability, and maintainability.
7. System Design: Designing large-scale distributed systems by defining requirements, APIs, data models, service boundaries, storage solutions, reliability mechanisms, performance targets, and trade-offs for systems serving high-volume user traffic.
8. Agentic Workflow Construction: Designing and implementing AI-driven workflows that use autonomous agents to plan, reason, retrieve information, invoke tools, coordinate multi-step tasks, handle exceptions, and deliver reliable outcomes with appropriate evaluation, guardrails, and human oversight.

Full-time telecommuting is an option.

Salary: $203,000.00 to $254,667.00 per annum

Reference #: L25-165505

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See alsoKnow Your RightsandPinterest Policy for more information regarding U.S. roles. If you require a medical or religious accommodation during the job application process, please complete this form for support.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.