Software Engineer, Backend
Tessera Labs - San Jose Office (HQ), San Jose, California, United States, New York City Office, Seattle Office, San Francisco Office
Posted Dec 20, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Software Engineer, Backend San Jose Office (HQ), San Jose, California, United States, New York City Office, Seattle Office, San Francisco Office 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,
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