Product Engineer

Traversal•New York, NY

21h•Onsite

About The Position

As a Product Engineer at Traversal, you’ll play a key role in designing and building core features powered by our AI site reliability engineer. From the user interface to the backend and infrastructure, you’ll develop product components to enable real-time incident detection, root cause analysis, and automated remediation in some of the most complex production environments. This role will focus on the ability to work across the full pipeline of our product, and someone who can have a strong product sense while also being comfortable working around AI and data processing infrastructure will be the best fit.

Requirements

4+ years of software engineering experience, with a strong focus on full-stack systems.
Proven ability to lead in fast-paced startup environments, with limited resources, shifting priorities, and minimal structure.
Strong experience with Python and web frameworks such as FastAPI.
Hands-on experience with React, TypeScript, Next.js, and TailwindCSS to build fast, responsive, and maintainable frontends.
Experience deploying applications on AWS, working with ECS or Kubernetes, Postgres for data storage, and S3 for large-scale object storage.

Nice To Haves

Familiarity with Python-based ecosystems is a plus.
Experience working with Agentic AI systems or in the observability domain.
Background in large-scale, complex, data-driven applications.
Familiarity with building AI or LLM-powered products.

Responsibilities

Translate AI-powered insights into user-friendly features that empower engineers and reduce cognitive load.
Innovate and drive the evolution of UX/UI design, rapidly iterating based on user feedback to improve overall usability.
Build AI agents with a mind for user-experience and capabilities like long-horizon work, proactiveness, readability, and evidence citation.
Design and implement high-performance APIs to enable seamless communication between backend systems and frontend interfaces.
Ensure efficient data storage, retrieval, and processing, leveraging technologies like PostgreSQL, Redis, or others.
Collaborate with AI engineers/researchers to integrate AI-driven insights and solutions into backend systems, and take ownership of API authentication and authorization frameworks.
Develop intuitive interfaces for presenting and interacting with complex time-series and topological data.