Роль четко определена с акцентом на инновационные ИИ-системы, но отсутствие информации о зарплате затрудняет оценку общей привлекательности.
Инновационная роль
Сильный стек технологий
Нет информации о зарплате
?Глобальная компания
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer, Infrastructure AI (AI/Infrastructure): Building goal-oriented AI agents that automate SRE, DevOps, and DBA workflows across global infrastructure with an accent on agent architecture, infrastructure integrations, and production safety. Focus on designing planning and reasoning loops, connecting agents to Kubernetes, Terraform, cloud APIs and databases, and evaluating autonomous system reliability.
Location: Hybrid role based in Seattle, WA, United States
Salary: $130K–$200K annual base salary, plus potential equity and bonus.
Company
Airwallex provides an AI-native financial operating system and regulated infrastructure for global payments and financial products.
What you will do
Build autonomous infrastructure AI agents on the Quartermaster platform for SRE, DevOps, and DBA workflows.
Automate incident investigation and remediation, infrastructure provisioning, deployment orchestration, database operations, and capacity management.
Design reliable agent loops covering planning, reasoning, tool use, error recovery, safety guardrails, auditing, and human escalation.
Integrate agents with Kubernetes, Terraform, AWS, GCP, Aliyun, cloud APIs, databases, monitoring systems, and CI/CD pipelines.
Define evaluation metrics and frameworks for task completion, accuracy, resolution time, and escalation rates.
Collaborate with SRE, DevOps, and platform engineering teams to identify and automate high-value operational workflows.
Requirements
3+ years of professional software engineering experience.
Strong proficiency in backend languages such as Python, Go, Java, or Kotlin.
Practical experience with AWS, GCP, or Aliyun, Kubernetes, Terraform, and CI/CD systems.
Strong system design skills for reliable, safe, and scalable systems interacting with production infrastructure.
Experience building agentic AI systems that plan, reason, and execute multi-step tasks using LLMs, including agent loops, tool orchestration, state, and memory.
Strong communication and collaboration skills in cross-functional, global environments.
Nice to have
Experience with LangGraph, CrewAI, AutoGen, custom agent frameworks, or LLM APIs such as OpenAI and Anthropic.
Experience with Grafana, Prometheus, Datadog, ELK, database administration, or automation.
Understanding of SRE practices including incident response, runbooks, postmortems, SLOs, and SLIs.
Knowledge of agent reliability, safety, evaluation, and autonomous infrastructure systems.
Culture & Benefits
Work with an Infrastructure & Productivity team supporting hundreds of engineers across multiple offices and time zones.
US-based employees may receive medical, dental, and vision insurance, a 401(k), disability and life insurance, and well-being benefits.
US-based employees receive 20 paid vacation days and 12 paid company holidays annually.
Additional compensation may include equity, annual bonuses, commissions, or RSUs.
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