SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Airwallex is an AI-native financial operating system serving over 675,000 businesses globally, including McLaren Racing, Qantas, SHEIN, and TikTok. The company provides regulated financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific, with 2,300+ employees across 27 offices.
The Infrastructure & Productivity team builds the technical foundation enabling Airwallex's global engineering organization to scale. As a Senior Software Engineer on the Observability team, you will build and operate platforms that provide engineering teams with clear, timely, and actionable insight into the health and performance of Airwallex's distributed systems.
Key responsibilities include:
- Building and operating highly scalable observability platforms covering metrics, logs, traces, events, alerting, dashboards, and service health
- Developing reliable software and platform capabilities enabling engineering teams to instrument, monitor, and troubleshoot services with minimal friction
- Establishing and evolving observability standards including telemetry collection, instrumentation, alert quality, SLOs, SLIs, service ownership, and operational readiness
- Improving incident detection, diagnosis, and response through actionable alerts, intelligent correlation, service dependency visibility, and effective runbooks
- Building self-service tools and paved paths that make best practices the easiest adoption path for engineers
- Partnering with application, infrastructure, SRE, security, and product teams to understand operational challenges and deliver durable solutions
- Improving scalability, reliability, performance, and cost efficiency of observability systems across multiple regions and environments
- Participating in design reviews, technical planning, code reviews, incident response, and post-incident learning
- Mentoring engineers and contributing to a culture of ownership, operational excellence, and continuous improvement
The role is based in Singapore or South Korea.
REQUIREMENTS:
Essentials:
- 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 (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 (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 ability to make sound technical decisions in complex and ambiguous environments
- Excellent communication and collaboration skills, including ability to work effectively with globally distributed engineering teams
- Ownership mindset and commitment to improving systems rather than simply treating symptoms
Preferred:
- 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
