1

Stack Python Jobs in Seattle, WA (NOW HIRING)

This includes curating code examples, providing precise solutions, and making corrections across the full stack -- in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend ...

Practical familiarity with our core stack - Python 3.12+ (async, type-strict, FastAPI/Starlette, Pydantic v2), asyncpg/SQLAlchemy, Postgres (incl. pgvector), and Redis/Dragonfly with Lua - with ...

True full-stack ownership : you've shipped the backend half of your own front ends (Node/Fastify or Python/FastAPI), handling auth, idempotency, pagination, race conditions, and migrations. * Product ...

True full-stack ownership : you've shipped the backend half of your own front ends (Node/Fastify or Python/FastAPI), handling auth, idempotency, pagination, race conditions, and migrations. * Product ...

Key job responsibilities • Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark/Scala ...

Practical fluency in our core stack - Python 3.12+ (numpy, pandas/polars, scikit-learn, statsmodels), time-series feature engineering, forecasting/clustering libraries (sktime/statsforecast-class ...

Full-stack delivery skills: Python/FastAPI backends, React/TypeScript front ends, deployment, monitoring, real test coverage, and careful data handling - since your pod is the whole team, there's no ...

Our Stack: Python · Roboflow · VLM/OCR pipelines · GCP (GCS) · PostgreSQL · Snowflake · Node.js/TypeScript Benefits: * Title Commensurate with Experience * Comprehensive Benefits Package ...

Our Stack: Python · Roboflow · VLM/OCR pipelines · GCP (GCS) · PostgreSQL · Snowflake · Node.js/TypeScript Benefits: * Title Commensurate with Experience * Comprehensive Benefits Package ...

Showing results 21-40

Stack Python information

See Seattle, WA salary details

$67.7K

$147.7K

$208.8K

How much do stack python jobs pay per year?

As of Sep 8, 2026, the average yearly pay for stack python in Seattle, WA is $147,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $171,800.00 per year, depending on experience, location, and employer.

What is a Stack Python developer?

A Stack Python developer is a programmer who specializes in using the Python programming language to build and maintain software applications across different layers of a technology stack. This can include backend development with frameworks like Django or Flask, frontend work using tools such as JavaScript and React, and sometimes even database management. Stack Python developers are valued for their versatility and ability to handle multiple aspects of a project. They often collaborate with other developers and stakeholders to deliver scalable and efficient solutions using Python and related technologies.

What does a Stack Python developer do?

As a Stack Python developer, you are often responsible for building both backend and, sometimes, frontend components of web applications using Python frameworks like Django or Flask. In a collaborative team environment, your daily tasks may include writing and reviewing code, participating in code reviews, integrating APIs, and working closely with designers, product managers, and QA engineers to deliver features. You may also assist in troubleshooting bugs, optimizing application performance, and contributing to deployment processes. Effective communication and teamwork are key, as projects usually involve coordinating with various stakeholders and adhering to agile methodologies.

What are the key skills and qualifications needed to thrive as a Stack Python developer?

To thrive as a Python Developer, you need strong programming skills in Python, a solid understanding of algorithms and data structures, and often a relevant degree or coding bootcamp experience. Familiarity with frameworks like Django or Flask, version control systems such as Git, and databases like PostgreSQL or MongoDB is typically required. Problem-solving abilities, attention to detail, and effective communication help you collaborate and deliver reliable solutions. These skills ensure you can build, maintain, and optimize software applications efficiently in dynamic development environments.

What is the difference between Stack Python vs Python Developer?

AspectStack PythonPython Developer
Required CredentialsPython certifications, knowledge of frameworks like Django/FlaskPython certifications, coding skills, possibly related certifications
Work EnvironmentOften part of a team working on full-stack applications, including front-end and back-endPrimarily focused on back-end development, scripting, and application logic
Employer & Industry UsageTech companies, startups, web development firmsSoftware companies, web development agencies, tech startups
Common Search & ComparisonYesYes

Stack Python typically refers to a full-stack role involving Python for both front-end and back-end development, often requiring knowledge of multiple frameworks and technologies. Python Developers usually focus on back-end coding, scripting, and application logic. While both roles require Python expertise, Stack Python professionals work across the entire technology stack, whereas Python Developers specialize in server-side development.

Infographic showing various Stack Python job openings in Seattle, WA as of September 2026, with employment types broken down into 2% Internship, 87% Full Time, 6% Part Time, and 5% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $147,717 per year, or $71 per hour.

Backend Engineer (Python/FastAPI)

Seattle, WA • Remote

Turing
IT Services • 51 - 200 employees

$200 - $300/hr

Contractor

Medical, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About Us:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Ideal Background:
This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.

Project Overview:
As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.

What Does a Typical Day Look Like?
  • Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go.
  • Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable.
  • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
  • Build agents that can verify the quality of the code and identify error patterns across full-stack applications.
  • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
  • Design verification mechanisms that can automatically verify a solution to a software engineering task.

Required Skills:
  • Several years of software engineering experience (3 years or more).
  • Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases.
  • Experience deploying scalable, production-grade software using modern languages and tools.
  • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
  • Excellent oral and written communication skills for clear, structured evaluation rationales.

Engagement Details:
  • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.
  • Type: Contractor (no medical/paid leave).
  • Duration: 1 month (potential extensions based on performance and fit).
  • Location: Candidates must be based in the United States.

Evaluation Process:
  • The application process takes 15–30 minutes.
  • Completion of an AI video interview is required.