Top Python Jobs in Seattle, WA

Develop and maintain server-side logic for web applications, ensure high performance and responsiveness, and integrate front-end elements built by coworkers. Basic understanding of front-end technologies required. Long-term contract based in Bellevue, WA.

The Senior Python Engineer will develop and support MongoDB Python drivers, enhance library quality, and collaborate on product features.

Develop and maintain Python applications focusing on iterators/generators/streams, concurrency (multithreading, non-blocking I/O), and high-precision numeric handling. Work with JSON/XML, REST and SOAP APIs, ACID-compliant databases, message brokers/queues, and produce clean, SOLID code. Unit and integration testing experience is beneficial.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

Design, develop, and maintain scalable Python applications and cloud-native solutions. Architect microservices, containerized deployments (Docker/Kubernetes), optimize cloud infrastructure, build CI/CD pipelines, integrate messaging systems, ensure security and high code quality, and mentor junior developers. Generative AI/ML experience is a plus.

Build and maintain Python tools for web scraping, automation, integrations (Airbnb, marketplaces), ad automation, chatbots (Chatwoot), workflow automation (Spiffworkflow), automated tests, and data analysis.

The Senior Full Stack Developer will design, develop, test, and debug software solutions, collaborating with teams and optimizing applications. Responsibilities include user interaction design, back-end functionality, and ensuring software scalability and security.

The Principal Python Engineer will design, build, and maintain backend services and APIs, focusing on system reliability and engineering quality. The role involves working with databases, applying DevOps practices, and leveraging AI for development efficiency.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

Develop, design, and deliver complex Python backend applications for acquiring, storing, and computing on large volumes of data. Lead feature implementation, ensure code quality via linting and automated tests, mentor junior developers, perform code reviews, collaborate with cross-functional teams, and troubleshoot production issues.

Develop and maintain scalable Python backend applications and RESTful APIs. Optimize performance, design and manage SQL/NoSQL schemas, implement security/authentication, write tests, automate CI/CD tasks, and collaborate with front-end, product, and QA teams.

The role involves building open-source libraries for AI observability, focusing on developer experience and API design while engaging with the community.

Develop large-scale data analytic applications using Python or R. Familiarity with C#, .NET, and SQL is advantageous. Requires strong problem-solving skills.

As a Founding Staff Software Engineer, you will lead the design and development of robust backend systems and APIs, optimize large-scale data workflows, and mentor a growing engineering team.

Design, build, and scale event-driven, distributed backend systems in Python to extract and enrich metadata at massive scale. Lead architecture, mentor engineers, integrate ML/LLM components, optimize performance, and ensure observability and reliability across AWS-based pipelines.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

The role involves developing a GUI application for Bluetooth Classic connections on Windows and possibly Linux/MacOS, enabling electronic board programming and testing.

Develop and maintain scalable, high-volume web and mobile systems as a Python full-stack developer. Implement backend services in Python, build React frontends, design microservices on AWS, follow Scaled Agile practices, and collaborate with offshore teams. Bachelor's degree or equivalent required.

Build and maintain Python backend services and serverless architectures for a restaurant operations platform. Ship end-to-end features, design robust systems, and help define product roadmap. Implement CI/CD and productionization, collaborate with product and GTM teams, and contribute to team culture and technical execution.

The Forward Deployed Engineer will serve as a technical bridge between clients and engineering teams, writing custom code and integrations, while ensuring customer success with Socket's security platform through strong relationships and expert technical guidance.

Design, develop, deploy, monitor, and support APIs and system integrations (Salesforce, REST, third-party). Work directly with clients to gather requirements, troubleshoot and optimize integrations, operate solutions in AWS, collaborate with teams, and mentor junior developers.

Build and ship full‑stack features for transportation management and other client products. Design and implement APIs and UIs, collaborate with product and design, own delivery, write modular testable code, troubleshoot and iterate quickly, and mentor peers.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

As a Software Engineer III, you will design, develop, and maintain high-quality software solutions, collaborating with cross-functional teams to ensure scalability and performance.

Develop and maintain open-source SDKs for AI observability and evaluation, ensuring efficiency, user-friendliness, and compatibility across frameworks.