Software Engineer, Backend

Tessera Labs

📍New York, NY
Posted May 20, 2026

Job Overview

Position

Software Engineer, Backend

Company

Tessera Labs

Location

New York, NY

Work Type

On-site

Job ID

li-4330680592

Job Description

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.

About The Role
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.

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 Responsibilities

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.

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.

No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs’ name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.

Compensation Range: $200K - $250K

Interview Prep

AI-powered insights to help you prepare

Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How would you design a backend service in Python using FastAPI to handle asynchronous data synchronization between our platform and an enterprise system like Salesforce, ensuring high throughput and no data loss?
  • 2.When connecting backend services to AI model servers and vector databases, what are the primary performance bottlenecks you anticipate, and how would you mitigate them?
  • 3.Walk me through how you would implement secure authentication and authorization for a multi-tenant enterprise API that needs to support SSO and granular permissions.
🎯Behavioral Questions (3)
  • 1.Tell me about a time you identified and fixed a significant performance bottleneck in a backend system or database. What was the impact?
  • 2.Describe a situation where you had to balance the need for speed in delivering a new feature with the necessity of maintaining long-term code quality and scalability. How did you handle it?
  • 3.Give an example of a time you collaborated closely with a non-backend team, like AI researchers or product managers, to integrate a complex system. How did you ensure smooth communication?
🧩Situational Questions (2)
  • 1.You are building a data pipeline that syncs sensitive HR data from Workday to our AI agents, but the Workday API is rate-limiting your requests, causing the sync to fail during peak hours. How do you resolve this?
  • 2.You notice that a newly deployed microservice handling AI automation workflows is intermittently dropping messages from a RabbitMQ queue, and logs show no errors. What is your approach to diagnosing and fixing this?

Resume Keywords

Make sure these keywords appear on your resume

FastAPISQLAlchemyMicroservicesData PipelinesRedisKafkaOAuth2RBACAWSVector DatabasesEnterprise IntegrationsPerformance Optimization

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