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Salary
$150k – $300k per year
Location
In office (New York)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Traversal is an AI site reliability engineer for large distributed systems, triaging alerts and finding root cause across petabyte-scale telemetry. It reconstructs the causal chain between a symptom and the change that caused it. The founders came from causal inference research in academia.

About Traversal

Traversal is the AI Site Reliability Engineer (AI SRE) for the enterprise.

Production complexity was already outpacing what engineering teams could manage manually, and AI-generated code is accelerating that gap. Traversal is built for that challenge, autonomously understanding and reasoning across even the largest, most complex production environments to diagnose, fix, and prevent incidents. Our mission is to free engineers from endless firefighting and give them more time to focus on creative, high-impact work.

Today, Traversal operates in mission-critical environments at some of the world’s largest enterprises. Our roots remain deeply embedded in AI research, and we’ve brought together researchers from institutions including MIT, Harvard, Berkeley, Columbia, and Cornell with world-class technical staff and operators from companies like Google, Meta, Datadog, ServiceNow, and Citadel Securities to take on one of the hardest problems for AI to solve. Traversal is backed by Sequoia Capital, Kleiner Perkins, Hanabi, NFDG, and American Express Ventures.

The Role

As a Backend AI Engineer at Traversal, you’ll play a key role in designing and building the core systems behind our AI site reliability engineer, the infrastructure that enables real-time incident detection, root cause analysis, and automated remediation in some of the most complex production environments. You’ll work closely with our AI and infrastructure teams to productionize novel AI agent architectures and machine learning algorithms, develop high-performance inference APIs, and build internal observability tooling. Your work will span ingesting and reasoning over logs, metrics, and traces at scale, optimizing systems across hybrid SaaS and on-prem deployments, and supporting mission-critical reliability for global enterprises.

Responsibilities

  • Backend System Design & Architecture: Lead the design and implementation of scalable, robust backend systems to support AI agents and observability tools.

  • API Development: Design and implement high-performance APIs to enable seamless communication between backend systems and frontend interfaces.

  • Data Management: Ensure efficient data storage, retrieval, and processing, leveraging technologies like PostgreSQL, Redis, or others.

  • AI Integration: Collaborate with AI engineers to integrate AI-driven insights and solutions into backend systems, and take ownership of API authentication and authorization frameworks.

  • Performance Optimization: Monitor, optimize, and scale backend services to handle high volumes of data while ensuring low-latency performance.

  • Collaboration: Partner with frontend engineers, AI researchers, and other teams to ensure a seamless, high-performance user experience.

  • Mentorship: Provide technical leadership and mentorship to junior engineers, helping to grow a strong backend engineering team.

Requirements

  • 3+ years of software engineering experience, with a strong focus on backend development and 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.

  • Experience deploying applications on AWS, working with ECS or Kubernetes, Postgres for data storage, and S3 for large-scale object storage.

  • Familiarity with observability and monitoring tools to ensure the system is running smoothly and efficiently.

Nice to Have

  • 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 AI or LLM-powered products.

Compensation

We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $150,000-$300,000, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge.

Why You Should Join Us

Traversal is a place to take on hard, meaningful problems with real ownership from day one. You’ll work alongside people who challenge you to grow, learn constantly, and help define a new category of infrastructure software. We think long term, move quickly, and hold a high bar without taking ourselves too seriously.

We offer competitive salary and equity packages, health insurance, fertility benefits, a great tech setup stipend and flexible time off. Plus in-office snacks, team happy hours and outings, an annual company offsite, and plenty of built in time to collaborate across teams.

Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park. We have a collaborative, hard-working culture and are energized by building the future of AI-powered software maintenance.

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