Backend Engineer

Tessera Labs
United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon S3 User Authentication Cloud Computing Cloud Storage Software Quality Code Review Databases Software Debugging DevOps
+33 more
Distributed Systems Electronic Data Interchange (EDI) Python (Programming Language) PostgreSQL Machine Learning MySQL OAuth Performance Tuning Queueing Systems RabbitMQ Role-Based Access Control Redis Cloud Services Salesforce.Com SAP (Applications) Single Sign-On SQLAlchemy Systems Integration Data Logging Data Processing Enterprise Software Applications Reliability of Systems Core Api Backend Fastapi Event Driven Architecture Apache Kafka Front End Software Development Restful APIs Network Server Data Pipelines Workday Microservices

Job description

We’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., 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.

Requirements

  • 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.

About the company

At Tessera Labs, we’re revolutionizing business process automation with cutting-edge AI technology. Backed by Foundation Capital and led by a world-class founding team, we’re building a high-impact engineering group to bring AI-powered automation to the enterprise world.

Our multi-agent AI systems transform complex business workflows-eliminating inefficiencies, optimizing operations, and enabling seamless integrations across platforms like SAP, Salesforce, and Workday. We move fast, solve hard problems, and build at the bleeding edge of AI.

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