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Software Engineer, Backend

Builds and maintains scalable backend systems, RESTful APIs, microservices, and integrations with AI models and enterprise platforms like Salesforce and SAP using Python and cloud technologies. Requires 3-5 years backend experience with focus on APIs and distributed systems.

200k – 250kSan Jose, CANew York, NYSeattle, WABackend EngineeringHybrid3+ YOE

About the role

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, 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 GCP.

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.

Bonus Points

  • Experience integrating AI/ML models into backend systems.
  • Familiarity with event-driven architectures or workflow automation systems.
  • Prior experience in startups or high-growth tech companies.

Skills

PythonFastAPISqlalchemyPostgresMySQLRedisKafkaRabbitMQPub/SubAws S3Google Cloud StorageOauth2RBACSSO

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