Cloud Infrastructure Engineer
Salient, SF Headquarters
- Pay
- $200K–$300K / year
- Work type
- Not stated
- Level
- Not stated
- Area
- Infra, platform & SRE, Inference & ML systems
- Posted
- Oct 5, 2026
About the role
About Us
Salient builds AI agents for regulated financial services. Our agents automate loan servicing, compliance, collections, recovery, insurance claims, and disputes for banks, captives, and specialty lenders.
We are:
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Backed by a16z and Y Combinator, with $75M raised in Series A funding
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Cash flow positive and profitable, with mid eight figure ARR achieved in under two years
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Already serving more than 20% of the auto lending industry
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Processing millions of real customer calls and transactions every day
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Fully deployed in production with major financial institutions
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Actively expanding into new financial services segments
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Building together in person in San Francisco
We are deeply integrated with our customers, own the full technology stack, and move quickly to bring modern AI into regulated industries where precision, reliability, and performance matter.
About the Role
We're hiring a Cloud Infrastructure Engineer to own Salient's cloud footprint across AWS, GCP, and Render. You will make our infrastructure consistent across providers, stay ahead of capacity as call volume and customers grow, make every dollar of cloud spend attributable, and execute on cost-cutting opportunities.
You will work directly with engineering, product, and company leadership. You will own outcomes, not tickets: reliability, consistency, capacity, and cost of the platform that runs every borrower conversation Salient handles.
What You'll Own
• Day-to-day operation of Salient's infrastructure across AWS, GCP, and Render, to one consistent standard.
• Infrastructure as code: bringing resources under Terraform (or equivalent), reusable modules, consistent environments, and drift detection.
• Capacity management: forecasting demand, autoscaling, quotas, and headroom for real-time voice and AI workloads.
• Cost attribution and monitoring: tagging, allocation by product and customer, unit-cost metrics, dashboards, budgets, and anomaly alerts.
• Cost reduction: identifying, prioritizing, and shipping savings through rightsizing, commitments, cleanup, consolidation, and provider moves where justified.
• Reliability and observability of the platform, including incident response and post-mortem follow-through.
• Secure, auditable infrastructure that supports SOC 2 and customer security requirements.
What You'll Bring
• You've operated production infrastructure on AWS and/or GCP at meaningful scale, and you're comfortable across providers.
• You manage infrastructure as code and have brought messy, hand-built environments under control.
• You've delivered measurable cloud cost savings and can explain pricing models, commitments, and data transfer costs.
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Listed on Y Combinator's job board; checked 22 h ago. First seen by us 22 h ago. Being listed doesn't mean the team is actively interviewing.