Software Engineer, Backend

About the Role

Core Development

• Design, develop, and maintain RESTful APIs and backend services using Python, FastAPI, SQLAlchemy, or similar tools.
• Build reliable microservices supporting 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 for enterprise integrations.

AI and Systems Integration

• Connect backend services with AI model servers, vector databases, and automation workflows.
• Enable data exchange between AI agents and enterprise systems such as Salesforce, SAP, and Workday.

Scalability, Reliability, and Security

• Identify and fix performance bottlenecks in backend code and databases.
• Implement caching, monitoring, and logging to support reliability and observability.
• Collaborate with DevOps to deploy and maintain cloud-based services on AWS or GCP.
• Implement secure authentication and authorization using OAuth2, RBAC, and SSO.
• Follow code quality, testing, and documentation practices, participate in reviews, and improve backend architecture.

Collaboration and Ownership

• Work with frontend, AI, and product teams to deliver new features.
• Identify improvements and build practical, scalable solutions while balancing speed and long-term scalability.

Qualifications

• Have 3–5 years of backend development experience focused on APIs, distributed systems, or cloud infrastructure.
• Be proficient in Python and have experience with FastAPI, SQLAlchemy, or similar frameworks.
• Have PostgreSQL or MySQL experience and understand data modeling best practices.
• Be familiar with Redis, message queues, and asynchronous processing.
• Have cloud storage experience with AWS S3, Google Cloud Storage, Azure Blob Storage, or similar solutions.
• Understand API authentication, security, and scalability principles.
• Demonstrate strong debugging, testing, and performance optimization skills.

Bonus Points

• Experience integrating AI or ML models into backend systems is a bonus.
• Familiarity with event-driven architectures or workflow automation systems is a bonus.
• Startup or high-growth technology company experience is a bonus.

Compensation

• Compensation range is $180K to $250K; no pay cadence is stated.