Architect & Develop: Design, build, and maintain scalable end-to-end applications, seamlessly integrating backend services with dynamic frontend interfaces.
Full-Stack Implementation: Write clean, highly optimized, and maintainable code across our core stack (Go/Python for backend; Vue.js/React.js for frontend).
AI-Driven Development: Champion and utilize AI engineering workflows (using tools like Cursor, Claude, Codex, or Copilot) to accelerate development cycles, automate boilerplate, and enhance overall team productivity.
Database Management: Design complex database schemas, write highly optimized SQL queries, and ensure data integrity and performance at scale.
Technical Leadership: Lead technical discussions, architectural planning sessions, and drive the adoption of industry best practices.
Code Quality & Mentorship: Lead rigorous code reviews, establish team coding standards, and actively mentor junior to mid-level engineers.
Security & Optimization: Implement robust security protocols to protect sensitive data and proactively monitor, troubleshoot, and optimize application performance across all environments.
Agile Collaboration: Partner closely with product managers, designers, and other stakeholders to translate complex business requirements into elegant technical solutions.
Requirements
Architect & Develop: Design, build, and maintain scalable end-to-end applications, seamlessly integrating backend services with dynamic frontend interfaces.
Full-Stack Implementation: Write clean, highly optimized, and maintainable code across our core stack (Go/Python for backend; Vue.js/React.js for frontend).
AI-Driven Development: Champion and utilize AI engineering workflows (using tools like Cursor, Claude, Codex, or Copilot) to accelerate development cycles, automate boilerplate, and enhance overall team productivity.
Database Management: Design complex database schemas, write highly optimized SQL queries, and ensure data integrity and performance at scale.
Technical Leadership: Lead technical discussions, architectural planning sessions, and drive the adoption of industry best practices.
Code Quality & Mentorship: Lead rigorous code reviews, establish team coding standards, and actively mentor junior to mid-level engineers.
Security & Optimization: Implement robust security protocols to protect sensitive data and proactively monitor, troubleshoot, and optimize application performance across all environments.
Agile Collaboration: Partner closely with product managers, designers, and other stakeholders to translate complex business requirements into elegant technical solutions.
Preferred Skills
Data Engineering (Strong Plus): Fluency in data engineering concepts and the Python data ecosystem (e.g., Pandas, Apache Airflow, building robust ETL pipelines).
Advanced Data Stores: Experience with NoSQL databases (e.g., MongoDB) and caching mechanisms (e.g., Redis).
Infrastructure: Hands-on experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure).
Messaging: Familiarity with message queuing and event streaming systems (e.g., RabbitMQ, Kafka).
Observability: Experience configuring and utilizing advanced logging, monitoring,and alerting tools.
