Job Summary AI is reshaping how software is built, accelerating development cycles and increasing the need for strong technical decision-making and scalable system design. We are seeking a highly hands-on Full Stack Engineer who enjoys building end-to-end products, collaborating across cross-functional teams, and leveraging AI tools to accelerate development and iteration. The ideal candidate thrives in fast-paced environments and is passionate about delivering high-quality, production-ready solutions. Key Responsibilities Drive implementation of product features and contribute to system design decisions Translate ambiguous requirements into scalable, production-ready solutions Design and develop backend services, APIs, and event-driven systems Write high-quality, maintainable, and production-ready code across the full stack Collaborate with Product, Design, Data, and Engineering teams to align on technical direction and remove blockers Make pragmatic trade-offs between speed, scalability, and maintainability Improve system reliability through testing, observability, and performance optimization Actively participate in code reviews as both author and reviewer Leverage AI tools to prototype, build, and debug efficiently Perform other duties as assigned Required Qualifications Bachelors degree in a relevant field or equivalent practical experience 3+ years of experience building and deploying production applications Strong foundation in system design and backend architecture Proficiency in backend development using Python (FastAPI), async programming, SQLAlchemy, and PostgreSQL Experience with frontend development using React and TypeScript Familiarity with REST and/or GraphQL APIs Experience working in fast-paced and evolving environments Strong problem-solving and collaboration skills Preferred Qualifications Experience integrating or building AI-powered systems or workflows Familiarity with event-driven architectures and messaging systems (e.g., Redis Streams, Pub/Sub) Experience with modern frontend tools (e.g., Vite, Tailwind CSS, component libraries) Knowledge of state management and validation tools (e.g., TanStack Query, Pydantic) Experience with containerization and orchestration tools (Docker, Kubernetes) Familiarity with cloud platforms such as Google Cloud Platform (Google Cloud Platform) and CI/CD pipelines (e.g., GitHub Actions) Experience implementing role-based access control (RBAC) or row-level security Exposure to observability, monitoring, and performance optimization tools Experience building internal tools or developer platforms Certifications Relevant cloud or software engineering certifications (e.g., Google Cloud, Kubernetes, or related technologies) are a plus Education: Bachelors Degree Certification: Google Cloud , Kubernetes
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: compun
- Position Id: AKHDC5785050
- Posted 5 hours ago
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