Senior Software Engineer, Observability

SG - Singapore · KR - Seoul · 5+ years experience · Full-time · Onsite · Posted Oct 13, 2026

At a glance

Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.
We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.
We're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles https://www.airwallex.com/en-us/operating-principles to see it in full.

As a Senior Software Engineer on the Observability team, you’ll build and operate the platforms that give engineering teams clear, timely, and actionable insight into the health and performance of Airwallex’s distributed systems.
You’ll help reduce time to detect and resolve incidents, improve system reliability, and establish scalable observability practices across the company.

Build and operate highly scalable observability platforms covering metrics, logs, traces, events, alerting, dashboards, and service health.
Develop reliable software and platform capabilities that enable engineering teams to instrument, monitor, and troubleshoot their services with minimal friction.
Establish and evolve observability standards, including telemetry collection, instrumentation, alert quality, SLOs, SLIs, service ownership, and operational readiness.
Improve incident detection, diagnosis, and response through actionable alerts, intelligent correlation, service dependency visibility, and effective runbooks.
Build self-service tools and paved paths that make best practices the easiest way for engineers to adopt observability.
Partner closely with application, infrastructure, SRE, security, and product teams to understand operational challenges and deliver durable solutions.
Improve the scalability, reliability, performance, and cost efficiency of observability systems across multiple regions and environments.
Participate in design reviews, technical planning, code reviews, incident response, and post-incident learning.
Mentor engineers and contribute to a culture of ownership, operational excellence, and continuous improvement.

5+ years of professional software engineering experience, with a track record of building and operating production systems.
Strong proficiency in at least one backend programming language, such as Go, Java, Python, or Kotlin.
Hands-on experience designing and operating distributed systems at scale.
Practical experience with observability platforms and technologies such as Prometheus, Grafana, Datadog, OpenTelemetry, ELK, or equivalent solutions.
Strong understanding of metrics, logs, traces, alerting, service-level indicators, service-level objectives, and incident management.
Experience with cloud-native environments, Kubernetes, containers, and public cloud platforms such as AWS, GCP, or Azure.
Experience with infrastructure as code and automated software delivery, using tools such as Terraform and CI/CD pipelines.
Strong system design and problem-solving skills, with the ability to make sound technical decisions in complex and ambiguous environments.
Excellent communication and collaboration skills, including the ability to work effectively with globally distributed engineering teams.
An ownership mindset and a commitment to improving systems rather than simply treating symptoms.

Experience building observability platforms or internal developer platforms used by multiple engineering teams.
Experience with OpenTelemetry, Prometheus, Grafana, Jaeger, Loki, Tempo, ClickHouse, Elasticsearch, Kafka, or similar technologies.
Experience designing high-volume telemetry ingestion, storage, querying, aggregation, and retention systems.
Familiarity with SRE practices, including on-call operations, incident response, postmortems, runbooks, and error budgets.
Experience with service meshes, Kubernetes operators, or large-scale microservice platforms.
Contributions to observability, cloud infrastructure, reliability, or open-source projects.
Bachelor’s or master’s degree in Computer Science, Engineering, or a related discipline.

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