
Full Stack Engineers
8 hours ago
We're hiring senior full-stack engineers.
Stack: Node.js, React/Vue, Python, PHP, PostgreSQL, Redis
Required experience (6-10+ yrs):
- Scalable REST APIs & async workers
- Auth (JWT/OAuth), background job queues
- Real-time, high-traffic webhook processing
- Protocol integrations: SFTP, SMTP, SMS
- AI development: LLMs, embeddings, vector DBs, inference workflows
- SPA architecture, state management, performance tuning
- Data analytics pipelines, ETL, event tracking
- Data lake systems: DuckDB, MotherDuck, Parquet
- CI/CD, GitHub workflows, automated testing
We're looking for engineers who think in systems, own delivery end-to-end, and operate with high autonomy.
Job SpecificationBackend Development (6-10+ years):
- Node.js, Python, PHP: Proficiency in building scalable REST APIs and asynchronous workers for high-performance backend systems.
- Authentication: Expertise in implementing JWT and OAuth for secure user authentication and authorization.
- Background Job Queues: Experience with tools like Bull, Celery, or Sidekiq for managing async tasks.
- Real-Time Webhook Processing: Handling high-traffic, real-time webhook systems for seamless integrations.
- Protocol Integrations: Knowledge of SFTP, SMTP, and SMS protocols for external system connectivity.
Database Management:
- PostgreSQL: Designing and optimizing relational databases for complex queries and scalability.
- Redis: Using in-memory data stores for caching and real-time processing.
Data Systems:
- Data Analytics Pipelines: Building ETL processes and event tracking systems for data insights.
- Data Lakes: Proficiency with DuckDB, MotherDuck, and Parquet for managing large-scale data storage and analytics.
Frontend Development:
- React/Vue: Building single-page applications (SPAs) with a focus on modular, maintainable code.
- State Management: Expertise in tools like Redux, Vuex, or Zustand for efficient state handling.
- Performance Tuning: Optimizing frontend performance for fast load times and smooth user experiences.
AI Development:
- Experience with large language models (LLMs), embeddings, and vector databases (e.g., Pinecone, Weaviate).
- Knowledge of inference workflows for deploying and optimizing AI models in production.
DevOps & CI/CD:
- Proficiency in GitHub workflows for continuous integration and deployment.
- Experience with automated testing frameworks (e.g., Jest, Cypress, Pytest) to ensure code quality.
Soft Skills & Mindset:
- Systems Thinking: Ability to design and architect end-to-end solutions with scalability and reliability in mind.
- End-to-End Ownership: Taking responsibility for the full development lifecycle, from planning to deployment and monitoring.
- High Autonomy: Working independently with minimal supervision, proactively solving problems and driving projects to completion.
- Collaboration: Effectively communicating with cross-functional teams to align on project goals and deliverables.
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