Software Engineer, Backend

Tessera Labs•San Jose, CA

3d•$180,000 - $250,000

About The Position

Tessera Labs is building AI-powered business process automation for enterprise workflows, integrating with platforms such as SAP, Salesforce, and Workday. The Backend Engineer will help design, build, and maintain backend systems for the AI automation platform, including scalable APIs, data pipelines, and enterprise integrations. This is a hands-on role for someone who enjoys distributed systems, complex backend challenges, and contributing to architecture in a collaborative, fast-moving startup environment.

Requirements

3–5 years of backend development experience focused on APIs, distributed systems, or cloud infrastructure.
Proficiency in Python and experience with FastAPI, SQLAlchemy, or similar frameworks.
Experience with PostgreSQL or MySQL and data modeling best practices.
Familiarity with Redis, message queues such as Kafka, RabbitMQ, or 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.

Nice To Haves

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

Responsibilities

Design, develop, and maintain RESTful APIs and backend services using Python, FastAPI, and SQLAlchemy.
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.
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.
Identify and address 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, including OAuth2, RBAC, and SSO.
Follow code quality, testing, and documentation best practices.
Participate in code reviews and contribute to backend architecture improvements.
Work with frontend, AI, and product teams to deliver features.
Identify improvements and build practical, scalable solutions while balancing speed with long-term scalability.