Backend Engineer (Mid-Level)

Job title: Backend Engineer (Mid-Level)

Locations: San Jose, CA or New York, NY (Hybrid 3 days onsite)

Fulltime

About the Role

This role is hands-on and ideal for someone who enjoys building distributed systems, solving challenging backend problems, and contributing to architectural discussions in a collaborative, fast-moving team.

Key Responsibilities

Core Development

• Design, develop, and maintain RESTful APIs and backend services using Python (FastAPI, SQLAlchemy).
• Build reliable microservices that support data processing, automation, and AI system integrations.
• Implement and optimize database schemas, queries, and caching for performance and scalability.
• Contribute to data pipelines and synchronization services across enterprise integrations.

AI & Systems Integration

• Connect backend services with AI model servers, vector databases (e.g., Pinecone, Qdrant), and automation workflows.
• Enable smooth data exchange between AI agents and enterprise systems like Salesforce, SAP, and Workday.
• Scalability & Reliability
• Identify and fix performance bottlenecks in backend code and databases.
• Implement caching, monitoring, and logging to ensure system reliability and observability.
• Collaborate with DevOps to deploy and maintain cloud-based services on AWS or Google Cloud Platform.
• Security & Quality
• Implement secure authentication and authorization (OAuth2, RBAC, SSO).
• Follow best practices in code quality, testing, and documentation.
• Participate in code reviews and contribute to improving backend architecture.

Collaboration & Ownership

• Work closely with frontend, AI, and product teams to deliver new features
• Take initiative in identifying improvements and building practical, scalable solutions.
• Balance speed and long-term scalability in a fast-moving environment.

Qualifications

• 3 5 years of backend development experience with a focus on APIs, distributed systems, or cloud infrastructure.
• Proficient in Python, with experience using FastAPI, SQLAlchemy, or similar frameworks.
• Experience with PostgreSQL/MySQL and data modeling best practices.
• Familiarity with Redis, message queues (Kafka, RabbitMQ, Pub/Sub), and asynchronous processing.
• Experience with cloud storage solutions such as AWS S3, Google Cloud Storage, or Azure Blob Storage.
• Understanding of API authentication, security, and scalability principles.
• Strong debugging, testing, and performance optimization skills.