Senior Software Engineer, Data and AI Infrastructure

Airwallex
Seattle
Workplace: HybridFull timeUSD 150,000 - 245,000 annuallyFunction: Software EngineeringSkills: ["Ownership","Collaboration","Debugging","Methodical problem-solving","Communication"]

Build and operate highly available data and AI infrastructure powering distributed, high-throughput workloads and production AI applications. Evolve Kubernetes and cloud foundations, improving reliability and scalability of streaming and batch platforms like Kafka, Spark, and Flink. Create AI infrastructure for routing and serving, and deliver self-service capabilities so teams can deploy safely and independently across application, data, and ML.

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Airwallex
Airwallex
1 day ago

Senior Software Engineer, Data and AI Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and operate highly available data and AI infrastructure powering distributed, high-throughput workloads and production AI applications. Evolve Kubernetes and cloud foundations, improving reliability and scalability of streaming and batch platforms like Kafka, Spark, and Flink. Create AI infrastructure for routing and serving, and deliver self-service capabilities so teams can deploy safely and independently across application, data, and ML.
Location: Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, build, and operate highly available data and AI infrastructure on Kubernetes and public cloud platforms.
  • •Develop scalable platforms for streaming, batch processing, and real-time data workloads using Kafka, Spark, and Flink.
  • •Build and evolve AI infrastructure including AI gateways, model-routing layers, traffic management, rate limiting, authentication, observability, and usage controls.
  • •Develop self-service capabilities so data, AI, and application teams can deploy and operate workloads safely and independently.
  • •Partner with engineering teams to translate emerging data and AI requirements into durable platform capabilities.

Pay and Benefits

Salary: USD 150,000 - 245,000 annually

Key Requirements

  • •5+ years in DevOps, SRE, or platform engineering, owning production systems end to end.
  • •Strong experience designing, operating, and troubleshooting production Kubernetes environments.
  • •Experience building or operating distributed data infrastructure with Kafka, Spark, or Flink, or building AI infrastructure such as AI gateways or model-routing platforms.
  • •Hands-on experience with at least one major public cloud (AWS, Google Cloud, or Microsoft Azure).
  • •Proficiency in Go, Python, or Java, with experience writing maintainable production software.
Experience:DevOpsSREPlatform engineeringDistributed data infrastructureAI infrastructure
Skills:OwnershipCollaborationDebuggingMethodical problem-solvingCommunication
Tech Stack:KubernetesAWSGoogle CloudMicrosoft AzureKafkaSparkFlinkGoPythonJavaAI gatewaysModel-routingTraffic managementRate limitingAuthenticationObservabilityInfrastructure-as-codeTLSDNSLoad balancing

Company Brief

Airwallex
Airwallex is a global payments and financial platform that provides business accounts, cross-border payments, treasury, corporate cards, and embedded finance APIs to help companies manage global financial operations and scale internationally.
Industry: Fintech Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Singapore, Singapore
Founded: 2015
Glassdoor
Glassdoor: 3.7
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