Design and deliver full-stack Access Security features that use AI to surface identity risks and guide remediation, shaping intuitive React experiences and reliable backend services for enterprise customers.
Senior Full Stack Engineer
📜 Description
- Design and maintain versioned APIs for the product and external integrations.
- Architect relational, vector, and graph data systems for interconnected project context.
- Build and scale distributed backend services with Python frameworks and asynchronous processing.
- Integrate retrieval and generation pipelines into context-rich AI workflows.
- Design for reliability and security, including fault tolerance, access control, and secure secrets management.
- Deploy, monitor, debug, and optimize production services; document systems, write tests, and improve them using feedback.
🛠️ Requirements
- 5+ years building and operating backend or full-stack systems in production environments.
- Strong Python fundamentals and experience with modern web frameworks.
- Deep understanding of data modeling and SQL with hands-on experience in relational databases.
- Experience designing distributed and asynchronous systems for scale and reliability.
- Understanding of vector or graph data models and their role in search, retrieval, or knowledge systems.
- Solid foundation in cloud-native operations — containerization, orchestration, monitoring, and scaling.
- Track record of owning systems end-to-end — from design to post-launch operation.
- Awareness of security best practices and compliance principles.
- Strong debugging, observability, and incident-management skills.
- Clear, proactive communicator comfortable working with product and research partners.
Full job description
About Symmetry
We’re solving one of the biggest challenges in modern AI workflows: fragmented context. Today, project knowledge is scattered across conversations, tools, and docs—forcing teams to spend more time steering AI than actually getting work done.
Symmetry brings context, continuity, and observability to AI-powered work, enabling teams to ship faster, work smarter, and maximize productivity across their existing AI stack.
We’re a fast-moving, early-stage team with a proven track record of building and scaling successful AI businesses. Freshly funded and growing, we’re looking for builders who want to help define the next frontier of human–AI collaboration.
Role Summary
You’ll own the systems powering Symmetry’s platform and Intelligence Layer—designing APIs, architecting data systems, and operating production services that are fast, fault-tolerant, and secure.
You’ll work closely with product, design, and research to turn complex ideas into scalable, elegant systems that make AI workflows seamless and trustworthy.
What You’ll Do
Design, Build, & Maintain APIs: Build reliable, versioned interfaces that power Symmetry’s product and external integrations.
Architect Data Systems: Design and optimize relational, vector, and graph-based data stores that represent interconnected project context.
Build Distributed Services: Develop and scale backend systems using modern Python frameworks and asynchronous processing patterns.
Integrate AI Workflows: Combine retrieval and generation pipelines to deliver context-rich, adaptive intelligence within the platform.
Ensure Reliability & Security: Design for fault tolerance, enforce access control, manage secrets securely, and maintain compliance with data protection standards.
Operate in Production: Deploy, monitor, and optimize services with meaningful metrics, alerts, and incident response practices.
Debug & Optimize: Trace issues end-to-end, fix root causes, and continuously improve system performance and resilience.
Collaborate Cross-Functionally: Partner with frontend, design, and research to deliver reliable, user-centered experiences.
Own the Outcome: Document systems, write tests, and iterate post-launch using real-world feedback.
Skills We’re Looking For
5+ years building and operating backend or full-stack systems in production environments.
Strong Python fundamentals and experience with modern web frameworks.
Deep understanding of data modeling and SQL with hands-on experience in relational databases.
Experience designing distributed and asynchronous systems for scale and reliability.
Understanding of vector or graph data models and their role in search, retrieval, or knowledge systems.
Solid foundation in cloud-native operations — containerization, orchestration, monitoring, and scaling.
Track record of owning systems end-to-end — from design to post-launch operation.
Awareness of security best practices and compliance principles.
Strong debugging, observability, and incident-management skills.
Clear, proactive communicator comfortable working with product and research partners.
If you thrive on autonomy, clarity, and collaboration and want to build the connective tissue between humans and AI systems, Symmetry is where you’ll do your best work.
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