Über
Tessera Labs is revolutionizing business process automation with cutting-edge AI technology. They are seeking a Backend Engineer who will design, build, and maintain the backend systems that power Tessera’s AI automation platform, including scalable APIs and data pipelines.
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 : Required : • 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.
Preferred : • 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.
Company :
Enterprise transformations shouldnt take years or cost fortunes. Founded in 2024, the company is headquartered in San Jose, California, US, , with a team of 51-200 employees. The company is currently Growth Stage.
Sprachkenntnisse
- English
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