About the RoleWe're looking for a Backend Engineer (Mid-Level) who thrives in a fast-paced, high-ownership startup environment. You'll help design, build, and maintain the backend systems that power Tessera's AI automation platform - including scalable APIs, data pipelines, and integrations with enterprise systems.
This role is hands-on and ideal for someone who enjoys building distributed systems, solving challenging backend problems, and contributing to architectural discussions in a collaborative, fast-moving team.
Key ResponsibilitiesCore 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.
