Высокоуровневая роль в финтех-единороге с фокусом на самое актуальное направление — AI-агентов для инфраструктуры. Задачи описаны предельно четко, а стек максимально современный.
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer (Infrastructure AI): Designing and building goal-oriented AI agents to automate SRE, DevOps, and DBA workflows with an accent on agent architecture, planning, and reasoning loops. Focus on creating reliable autonomous systems that interact with Kubernetes, Terraform, and cloud APIs to handle production infrastructure operations.
Location: Hybrid role based in Seattle, WA, United States
Salary: $140,000–$240,000 annual base pay, plus potential equity and bonus
Company
Airwallex provides a unified payments and financial platform for global businesses, including business accounts, payments, spend management, treasury, and embedded finance.
What you will do
Build goal-oriented AI agents on the Quartermaster platform to automate SRE, DevOps, and DBA workflows.
Develop agents for incident investigation and remediation, infrastructure provisioning, deployment orchestration, database operations, and capacity management.
Design safe and reliable agent loops covering planning, reasoning, tool use, error recovery, auditing, and human escalation.
Integrate agents with Kubernetes, Terraform, AWS, GCP, Aliyun, monitoring platforms, databases, 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
5+ years of professional software engineering experience.
Strong backend development skills in Python, Go, Java, or Kotlin.
Practical experience with cloud platforms, Kubernetes, Terraform, and CI/CD systems.
Strong system design skills for reliable, safe, and scalable systems interacting with production infrastructure.
Excellent communication and collaboration skills in a global, cross-functional environment.
Hands-on experience building agentic AI systems that plan, reason, and execute multi-step tasks using LLMs, including agent loops, tool orchestration, state, and memory.
Nice to have
Experience with LangGraph, CrewAI, AutoGen, custom agent frameworks, or LLM APIs such as OpenAI and Anthropic.
Experience with Grafana, Prometheus, Datadog, or the ELK stack.
Database administration or automation experience, including migrations, query optimization, and backup or recovery.
Knowledge of SRE practices such as incident response, runbooks, postmortems, SLOs, and SLIs.
Culture & Benefits
Work on infrastructure AI systems intended to transform how operational work is performed.
Founder-like ownership, fast execution, curiosity, and first-principles decision-making are valued.
US-based employees are eligible for medical, dental, vision, 401(k), disability, 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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