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💼 Full-time🗓 2026-06-25

Core

Design, build, and own multi-cloud commitment management pipelines and agentic workflows for ingesting, normalizing, and reconciling large-scale cloud billing and usage data across AWS, Azure, and GCP.

Role type

Senior Full-Stack Engineer (Cloud Infrastructure & Data Systems)

Builds

Production-grade systems for commitment coverage, utilization, and effective savings modeling across AWS, Azure, and GCP.

Domain

Cloud Infrastructure, Multi-cloud Billing, Data Engineering

Deliverable

production ML models | product features | infrastructure

Required skills

Distributed system design, Cloud billing data processing, End-to-end system ownership, High-volume data handling, Technical decision making under ambiguity

Preferred skills

AWS, Azure, GCP, Cloud billing systems

Technologies

AWS, Azure, GCP

Responsibilities

Design and build commitment management pipelines across AWS, Azure, and GCP; Develop systems to model commitment coverage, utilization, and effective savings; Build agentic workflows to ingest, normalize, and reconcile large-scale cloud billing data; Ship features end-to-end from architecture to production.

Seniority

Senior, hands-on IC

Rewrite
## About the role We're building the future of multi-cloud commitment systems across AWS, Azure, and GCP. If you enjoy hard infrastructure and data problems, shipping fast, and owning critical systems end-to-end, this role is for you. ## What you'll work on - Design, build, and own the commitment management pipelines across AWS, Azure, and GCP - Build agentic workflows to ingest, normalize, and reconcile large-scale cloud billing and usage data - Develop systems to model commitment coverage, utilization, and effective savings across clouds - Turn complex, high-volume billing data into reliable, production-grade systems - Ship features end-to-end with clear ownership—from architecture to production ## Why nOps - We already manage $4B+ in cloud spend for enterprise customers - Your work directly influences real dollars saved at massive scale - Small, senior team → high ownership → minimal process - We optimize for speed, correctness, and impact, not bureaucracy ## Who you are - You ship frequently and take full ownership of what you build - You enjoy solving distributed, data-heavy system problems - Hands-on experience with AWS, Azure, GCP, or cloud billing systems is a strong plus - You're comfortable operating with ambiguity and making high-leverage technical decisions ## If this sounds exciting, let's talk Come build the systems that teams rely on to manage commitments at scale.
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