(1549) Senior Fullstack (Python & React)
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Your role:
As a Senior Full Stack / Integration Engineer, you'll join a team building and evolving a complex, microservices-based platform end to end — from backend services and APIs through to the React frontend. You'll work in an AI-assisted development environment, using agentic coding tools alongside structured specifications and acceptance criteria to drive implementation, and you'll be expected to critically review AI-generated code for correctness, maintainability, security, and performance. This role requires the ability to take full ownership of features from requirements through production, across distributed, cloud- and edge-deployed systems.
Key responsibilities:
Design and build backend services and REST APIs using Python and FastAPI
Develop and maintain frontend features using React
Design and evolve microservices-based systems architecture
Deploy, troubleshoot, and maintain distributed applications running in Kubernetes, including edge and on-premises environments
Work across cloud and edge/on-premises architectures, including Google Cloud Platform
Design, implement, and optimize data layers using PostgreSQL, MongoDB, and MySQL
Apply strong CI/CD, automated testing, source control, code review, and observability practices across the delivery pipeline
Work within AI-assisted or AI-accelerated development workflows, leveraging tools like Claude Code or similar agentic coding tools to support implementation
Translate structured specifications, requirements, and acceptance criteria into AI-assisted implementation
Critically review AI-generated code for correctness, maintainability, security, performance, and alignment with requirements
Take ownership of features independently, from requirements through production
Minimum qualifications:
10+ years of professional software engineering experience with a strong full-stack background
Strong Python development experience
Experience building backend services and REST APIs with FastAPI
Strong experience with React
Extensive experience designing and developing microservices-based systems
Extensive hands-on Kubernetes experience, including troubleshooting distributed applications
Experience with cloud and edge or on-premises architectures
Strong experience with PostgreSQL, MongoDB, and MySQL
Experience developing applications on Google Cloud Platform
Strong understanding of CI/CD, automated testing, source control, code review, observability, and modern software delivery practices
Proven experience working in an AI-assisted or AI-accelerated development environment
Hands-on experience with Claude Code or similar agentic coding tools
Experience using structured specifications, requirements, and acceptance criteria to drive AI-assisted implementation
Ability to critically review AI-generated code for correctness, maintainability, security, performance, and alignment with requirements
Must be able to work independently and take ownership of features from requirements through production
Bonus qualifications:
Vue
TypeScript and Java, particularly in modernization efforts toward Python
Google Kubernetes Engine and other GCP-native services
Edge or on-premises Kubernetes
Healthcare, medical, clinical, or regulated software
AI/ML, computer vision, video processing, or analytics platforms