
AI Engineer - Infrastructure
About Traversal
Traversal is building an AI site reliability engineer that identifies, root causes, and fixes production issues within complex software infrastructure. We're a team of some of the best AI talent - including professors at Columbia & Cornell with PhDs from MIT & Berkeley - with over 20 years of research experience, pushing the forefront of AI Agents and Causal AI. Traversal is already deployed in some of the largest enterprises in the world helping improve the resilience of mission critical systems that serve millions of people worldwide, with a decrease in MTTD/MTTR of up to 90%.
The Role
As an AI Infrastructure Engineer, you'll play a key technical role in our AI-powered infrastructure team in designing, scaling, and maintaining the backend systems that powers our platform. You'll be responsible for both cloud and on-prem deployments, ensuring our systems are performant, resilient, and ready for large-scale AI operations. In this role, you will collaborate with engineers across the organization, providing expertise in building robust infrastructure that supports our AI agents and observability tools. This requires hands-on experience with cloud infrastructure, distributed systems, and AI model integration in production environments.
Responsibilities
- System Design & Architecture: Lead the design of scalable, reliable infrastructure systems that support observability and AI agents.
- Cloud Infrastructure Management: Own and manage cloud infrastructure (AWS, GCP, or similar), with experience in hybrid/on-prem deployments for AI-driven observability.
- Data Pipeline Caching: Collaborate with data engineers to implement caching mechanisms that accelerate data retrieval and processing.
- Automation & CI/CD: Build and maintain CI/CD pipelines and infrastructure-as-code to ensure high availability, performance, and security.
- Scalability & Performance: Design systems that scale with platform growth and customer demand, ensuring high performance across cloud and on-prem environments.
- Collaboration: Work closely with backend, frontend, AI, and product teams to ensure infrastructure supports seamless integrations and high-performance experiences.
- Incident Management: Build and manage observability tools to ensure system resilience, rapid incident response, and issue resolution. We should be able to use Traversal on Traversal!
- Mentorship: Provide technical leadership and mentorship to junior engineers, fostering a collaborative, learning-focused culture.
Requirements
- 3+ years of experience at fast-paced companies with a high bar for technical excellence.
- Direct experience building distributed systems using tools like Kafka, Postgres, S3, or similar.
- Proven ability to own projects end-to-end, from system design to implementation and long-term maintenance.
- Strong debugging skills across cloud infrastructure and networking layers.
- Familiarity with production systems: instrumentation, provisioning, bug fixes, and reliability improvements.
Nice to Have
- Experience making complex software systems observable using logs, metrics, and traces.
- Familiarity with Python-based ecosystems is a plus.
- Background in large-scale, complex, data-driven applications.
- Experience provisioning and managing infrastructure using Terraform, Pulumi, or other IaC tools.
- 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
We’ll make sure you’re fully supported with health insurance, a great tech setup, flexible time off, and plenty of in-office snacks. We offer competitive salary and equity packages, and take thoughtful consideration with every hire on our small, high-impact team.
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.
Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly. This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.
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