Job Overview
Explore Python Full Stack Engineer Jobs in Seattle for experienced software professionals interested in building scalable, cloud-native, secure, and high-performance applications. This opportunity is suited for engineers with strong expertise across Python backend development, modern JavaScript frameworks, REST APIs, databases, cloud infrastructure, microservices, and DevOps practices.
As a Python Full Stack Engineer, you will work across the complete software development lifecycle—from architecture and API development to responsive frontend engineering, cloud deployment, application security, performance optimization, and production support.
The role requires strong hands-on programming ability and an engineering mindset focused on scalability, reliability, automation, security, and maintainable software architecture.
Job Title
Position: Python Full Stack Engineer
Location: Seattle, Washington, USA
Job Type: Full-Time / Permanent
Work Model: On-site / Hybrid / Remote, depending on employer requirements
Career Level: Mid-Level to Senior-Level
Domain: Software Engineering / Cloud Applications / Full Stack Development
Roles & Responsibilities
- Design, develop, test, deploy, and maintain enterprise-grade full-stack applications using Python and modern JavaScript technologies.
- Build scalable backend services using Python, Django, Flask, or FastAPI.
- Develop responsive and reusable frontend components using React.js, Next.js, Angular, or similar frameworks.
- Design secure and high-performance RESTful APIs and microservices for web, mobile, and enterprise applications.
- Develop efficient application architecture capable of supporting high-volume users and transactions.
- Integrate frontend applications with APIs, databases, authentication platforms, cloud services, and third-party systems.
- Design and optimize relational and NoSQL databases including PostgreSQL, MySQL, MongoDB, and Redis.
- Build and deploy cloud-native applications across AWS, Microsoft Azure, or Google Cloud Platform.
- Containerize applications using Docker and support orchestration through Kubernetes.
- Implement automated build, testing, deployment, and release processes using modern CI/CD pipelines.
- Work with cloud services including compute, storage, databases, serverless functions, API gateways, monitoring, and identity management.
- Implement secure authentication and authorization using OAuth 2.0, JWT, SSO, and role-based access control.
- Improve application security by following secure coding practices and addressing common web vulnerabilities.
- Perform code reviews, unit testing, integration testing, debugging, profiling, and performance optimization.
- Troubleshoot production issues across frontend, backend, databases, APIs, containers, and cloud infrastructure.
- Implement logging, application monitoring, alerting, and observability for production environments.
- Collaborate with product managers, architects, UI/UX teams, QA engineers, DevOps engineers, data teams, and security specialists.
- Participate in architecture discussions and recommend improvements for performance, scalability, reliability, and maintainability.
- Create technical documentation covering APIs, application architecture, deployment procedures, and engineering standards.
- Mentor junior developers and contribute to coding standards and engineering best practices.
Technical Skill Set
| Technology Area | Preferred Skills |
|---|---|
| Backend Development | Python, Django, Flask, FastAPI |
| Frontend Development | React.js, Next.js, Angular, JavaScript, TypeScript |
| Web Technologies | HTML5, CSS3, Bootstrap, Responsive Web Design |
| API Development | REST API, RESTful Services, GraphQL, JSON |
| Architecture | Microservices, Distributed Systems, Event-Driven Architecture |
| Databases | PostgreSQL, MySQL, MongoDB, DynamoDB |
| Caching | Redis, Application Caching |
| Cloud Computing | AWS, Azure, Google Cloud Platform |
| AWS Technologies | EC2, S3, Lambda, RDS, DynamoDB, API Gateway, CloudWatch |
| Containers | Docker, Kubernetes |
| DevOps | CI/CD, Jenkins, GitHub Actions, GitLab CI |
| Infrastructure | Terraform, Infrastructure as Code |
| Messaging | Kafka, RabbitMQ, AWS SQS |
| Authentication | OAuth 2.0, JWT, SSO, RBAC |
| Testing | PyTest, Unit Testing, Integration Testing, API Testing |
| Version Control | Git, GitHub, GitLab, Bitbucket |
| Monitoring | CloudWatch, Datadog, Prometheus, Grafana |
| Operating Systems | Linux, Unix |
| Methodologies | Agile, Scrum, DevOps |
| Additional Skills | System Design, Data Structures, Algorithms, Application Security |
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline, or equivalent practical experience.
- Strong professional programming experience with Python.
- Hands-on experience with at least one major Python framework such as Django, Flask, or FastAPI.
- Strong frontend development experience using React.js, Angular, Next.js, JavaScript, or TypeScript.
- Practical experience designing and consuming RESTful APIs.
- Strong knowledge of SQL and database design principles.
- Experience developing scalable web applications and distributed backend services.
- Understanding of object-oriented programming, data structures, algorithms, and software design patterns.
- Experience using Git-based development workflows.
- Knowledge of application security, authentication, authorization, and secure API development.
- Experience working within Agile or Scrum software engineering environments.
- Ability to troubleshoot complex application issues across multiple technology layers.
Preferred Qualifications
- Professional experience deploying applications on AWS, Azure, or Google Cloud.
- Hands-on experience with Docker and Kubernetes.
- Experience building cloud-native applications and microservices architectures.
- Knowledge of Terraform and Infrastructure as Code.
- Experience implementing automated CI/CD pipelines.
- Familiarity with Kafka, RabbitMQ, SQS, or other asynchronous messaging technologies.
- Understanding of distributed systems, caching, load balancing, and high-availability architecture.
- Experience with serverless development using technologies such as AWS Lambda.
- Familiarity with application observability and monitoring platforms.
- Experience integrating Generative AI, LLM APIs, machine learning services, or AI-powered features into web applications is an advantage.
- Knowledge of enterprise application security and cloud security practices.
- Experience with high-traffic SaaS, fintech, e-commerce, cloud, data, or enterprise software platforms is beneficial.
Desired Soft Skills
- Strong analytical and structured problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to translate business requirements into scalable technical solutions.
- Strong ownership of application quality and production reliability.
- Ability to collaborate effectively with cross-functional engineering teams.
- Attention to code quality, security, performance, and maintainability.
- Comfortable working in fast-paced Agile development environments.
- Ability to independently investigate and resolve complex technical problems.
- Strong willingness to learn emerging cloud, AI, and software engineering technologies.
- Ability to mentor developers and contribute constructively to technical discussions.
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