Software Engineer, Backend
Tessera Labs2 months ago
San Jose, CA, USAMid Level / Senior
Base Salary
$180k - $250k/yr
Responsibilities
- Design, develop, and maintain backend services and RESTful APIs using Python, FastAPI, and SQLAlchemy.
- Build distributed microservices supporting data processing, automation, and AI system integrations.
- Design and optimize database schemas, queries, caching, data pipelines, and synchronization services.
- Integrate backend services with AI model servers, vector databases, automation workflows, Salesforce, SAP, and Workday.
- Identify and resolve performance bottlenecks and implement monitoring, logging, authentication, and authorization.
- Deploy and maintain cloud-based services on AWS or GCP in collaboration with DevOps.
- Contribute to testing, documentation, code reviews, backend architecture, and scalable feature delivery.
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, Kafka, RabbitMQ, Pub/Sub, and asynchronous processing.
- Experience with AWS S3, Google Cloud Storage, or Azure Blob Storage.
- Understanding of API authentication, security, and scalability principles.
- Strong debugging, testing, and performance optimization skills.
- Experience integrating AI/ML models into backend systems is a bonus.
- Familiarity with event-driven architectures, workflow automation systems, startups, or high-growth technology companies is a bonus.
Tech Stack
Categories
About Tessera Labs
Tessera Labs builds multi-agent AI systems that automate complex enterprise workflows across platforms such as SAP, Salesforce, Workday, Snowflake, and Databricks. It sells AI automation software and services to large organizations seeking to operationalize AI in back-office and data operations. Founded in 2022 and headquartered in London, the privately held company focuses on deploying production AI within existing enterprise stacks.