AI-Native Platform Engineer – DevOps & Reliability (Hybrid)

Valency Systems Inc.; Berkeley (CA); Hybrid; USD 190,000 - 240,000; Full time

Benefits offered by this job

Hybrid after-hours collaboration

Job summary

Valency Systems Inc. seeks an AI-native DevOps/Operations Engineer to design and operate a scalable platform behind Valency. You will improve CI/CD, reliability, and guardrails, with human-in-the-loop approval for high-risk actions.

The role sits at the intersection of platform engineering, cloud infrastructure, and AI-era software delivery. This on-site senior role requires building observable, secure systems at scale in the SF Bay Area and fostering strong collaboration with product and

Qualifications

• 8+ years of responsibility operating important production systems.
• Strong shipping and running high-reliability systems in production.
• Deep AWS/Cloud and production software experience.

Responsibilities

• Own and improve CI/CD pipelines, release controls, and deployment workflows.
• Build and maintain highly reliable AWS-based production systems.
• Improve observability across logs, metrics, traces, events, and workflow state.
• Instrument platform behavior to quickly surface issues and slowdowns.
• Create operational analytics linking engineering, product, and customer experience.
• Drive cost engineering and infrastructure efficiency as the system scales.
• Implement testing, validation, and rollback mechanisms to reduce risk.
• Support incident response, root cause analysis, and postmortems.

Skills

Python

Go

Elixir

CDK

CI/CD

Observability

Cloud experience

Job description

Valency Systems Inc. seeks an AI-native DevOps/Operations Engineer to design and operate a scalable platform behind Valency. You will improve CI/CD, reliability, and guardrails, with human-in-the-loop approval for high-risk actions.

The role sits at the intersection of platform engineering, cloud infrastructure, and AI-era software delivery. This on-site senior role requires building observable, secure systems at scale in the SF Bay Area and fostering strong collaboration with product and