Backend Engineer
This role is for one of the Weekday's clients
Salary range: $180k - $250k
Experience: 6+ YoE
You will collaborate closely with data scientists, frontend developers, and product teams to design, build, and optimize backend systems capable of handling complex data flows and delivering real-time AI-driven functionalities.
Key Responsibilities
- AI-Driven Backend Development
- Build and optimize backend services to support AI/ML-powered applications.
- Collaborate with data scientists to integrate AI models into production systems with efficiency, scalability, and reliability.
- Design APIs and data workflows that seamlessly deliver AI insights to frontend and external systems.
- Python & TypeScript Programming
- Write clean, maintainable, and efficient backend code in Python and TypeScript .
- Develop robust server-side logic, APIs, and data processing workflows.
- Implement automated testing and ensure high-quality software releases.
- ETL Pipeline Development
- Design, develop, and maintain ETL pipelines for large-scale data ingestion, transformation, and delivery.
- Optimize data pipelines for performance, scalability, and fault tolerance.
- Work with structured and unstructured datasets from multiple sources to feed AI models and analytics platforms.
- System Architecture & Performance Optimization
- Contribute to architectural decisions for backend systems, ensuring modularity, maintainability, and scalability.
- Implement best practices for performance tuning, security, and observability.
- Monitor and troubleshoot backend systems, ensuring high uptime and reliability.
- Collaboration & Documentation
- Work cross-functionally with data engineering, frontend, and product teams to align backend solutions with business needs.
- Create and maintain technical documentation for backend systems, APIs, and data workflows.
Required Skills & Experience
- 6–10 years of experience in backend engineering or related roles.
- Proven expertise in AI-driven application development , including integrating and deploying machine learning models into production systems.
- Strong proficiency in Python for backend development and data processing.
- Solid experience with TypeScript for server-side development (Node.js environment preferred).
- Hands-on experience designing and managing ETL pipelines for large-scale data systems.
- Experience with relational and non-relational databases (e.g., PostgreSQL, MongoDB).
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Strong understanding of API design principles (REST, GraphQL) and asynchronous data processing.
- Proficiency in performance optimization, scalability strategies, and distributed systems.
- Excellent problem-solving skills, attention to detail, and ability to work in fast-paced environments.
Preferred Qualifications
- Experience working with data orchestration frameworks like Apache Airflow, Prefect, or Dagster.
- Familiarity with real-time data streaming technologies (Kafka, Kinesis, etc.).
- Exposure to AI/ML model lifecycle management tools (MLflow, Kubeflow, Vertex AI).
- Understanding of data governance, compliance, and security best practices.
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