Software Engineer, Backend

About the role

We're revolutionizing business process automation with cutting-edge AI technology. This role is ideal for someone who thrives in a fast-paced, high-ownership startup environment.

Key Responsibilities

• 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.
• Connect backend services with AI model servers, vector databases, and automation workflows.
• Enable smooth data exchange between AI agents and enterprise systems like Salesforce, SAP, and Workday.
• 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 GCP.
• 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.
• 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.
• Bonus points for experience integrating AI/ML models into backend systems, familiarity with event-driven architectures or workflow automation systems, and prior experience in startups or high-growth tech companies.