Software Engineer, Infrastructure AI

Airwallex

. Design, build, and operate goal-oriented AI agents that automate SRE, DevOps, and DBA workflows .

Posted 9/23/2026full-timeSeattle • Washington • United StatesMid-LevelSenior💰 $130,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building AI agents for automating SRE, DevOps, and DBA workflows, with strong proficiency in backend programming languages and cloud platforms. Capable of integrating advanced monitoring and orchestration tools while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Python ProgrammingAWS Cloud ExperienceKubernetes IntegrationTerraform ProficiencyAgent Loop Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Go ProgrammingJava ProgrammingKotlin ProgrammingCI/CD SystemsDatabase AdministrationAgentic AI SystemsObservability SystemsMonitoring SystemsSRE PracticesAgent Orchestration Frameworks

Soft Skills

Excellent CommunicationCollaboration Skills

Tools & Technologies

GrafanaPrometheusDatadogELK StackLangGraphCrewAIAutoGenOpenAI APIsAnthropic APIs

Industry Keywords

SREDevOpsDBA WorkflowsIncident ResponseCapacity Management

Tech Stack

Tools & technologies

AWSGoogle Cloud PlatformGrafanaJavaKotlinKubernetesPrometheusPythonTerraformGo

About the role

Key responsibilities & impact

Design, build, and operate goal-oriented AI agents that automate SRE, DevOps, and DBA workflows
Build agents for incident investigation and remediation, infrastructure provisioning, deployment orchestration, database operations, and capacity management
Design agent loops with planning, reasoning, tool use, error recovery, and human-in-the-loop escalation
Integrate agents with Kubernetes, Terraform, AWS, GCP, Aliyun, monitoring platforms, databases, and CI/CD pipelines
Define metrics and build evaluation frameworks for agent effectiveness
Partner with SRE, DevOps, and platform engineering teams to identify workflows for automation
Contribute to the technical vision for AI-driven infrastructure operations

Requirements

What you’ll need

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
Experience with Kubernetes
Experience with Terraform
Experience with CI/CD systems
Strong system design skills
Excellent communication and collaboration skills
Experience building agentic AI systems, including agent loop design, tool-use orchestration, and managing agent state and memory
Experience with agent orchestration frameworks such as LangGraph, CrewAI, AutoGen, or custom agent frameworks
Experience with LLM APIs such as OpenAI or Anthropic
Experience with observability and monitoring systems such as Grafana, Prometheus, Datadog, or ELK stack
Experience with database administration or automation
Understanding of SRE practices, including incident response, runbooks, postmortems, and SLOs/SLIs

Benefits

Comp & perks

Equity
Bonus
Medical insurance
Dental insurance
Vision insurance
401(k) plan
Short-term disability
Long-term disability
Basic life insurance
Well-being benefits
20 paid days of vacation
12 paid days of company holidays
Statutory minimum paid annual leave and public holidays