About the RoleAs an
AI Engineer on the Data Platform team, you'll design, build, and maintain the backend systems that power an AI-driven observability platform. This hands-on role blends distributed systems engineering, low-level system design, performance optimization, observability, and AI integration - across both cloud and on-premises deployments.
What You'll Do- Architecture & Implementation: Contribute to the design and implementation of scalable, resilient infrastructure systems powering AI-driven root cause analysis and observability workflows, including on-premises deployment environments.
- Low-Level System Design: Work on the foundational building blocks of the infrastructure, ensuring efficient resource utilization and high performance at scale.
- Performance Optimization: Profile and tune backend systems to improve throughput, reduce latency, and eliminate bottlenecks across the stack.
- Observability Systems: Build and maintain the internal observability stack - logs, metrics, and traces - used by AI agents to understand and act on production issues.
- Hybrid Infrastructure: Support cloud and on-premises architecture to serve both SaaS and enterprise customer deployment models.
- Cross-functional Collaboration: Work closely with engineers across the company to deliver resilient infrastructure that enables AI agents to diagnose and remediate production incidents in real time.
What We're Looking For- Experience: 2-5 years of hands-on backend or infrastructure engineering experience.
- Distributed Systems: Strong understanding of distributed systems design principles and trade-offs.
- Performance Engineering: Proven experience profiling and optimizing high-throughput, low-latency systems.
- Observability: Familiarity with observability tooling and concepts (logs, metrics, traces); experience with platforms such as Datadog, Grafana, Splunk, or similar is a plus.
- Cloud & On-Prem: Experience with hybrid or multi-environment infrastructure (cloud + on-premises).
- AI/ML Integration: Interest in or experience building systems that support AI/ML workloads at scale.
- Background: Prior experience at observability, incident management, or data infrastructure companies is highly valued.
Note: Visa sponsorship is not available for this role.
LocationThis is a fully
on-site role based in
New York, NY. Remote work is not available for this position.
