Senior Software Engineer, Observability

The Infrastructure & Productivity team builds the technical foundation that enables Airwallex's global engineering organisation to scale. Our customers are fellow engineers, and we make their work faster, safer, and more effective through reliable platforms, automation, and observability systems. 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.

This role is based in SG or South Korea

• 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.

• You're comfortable owning the roadmap yourself.

• You're comfortable making decisions with incomplete information and moving quickly anyway.

• You're comfortable operating across time zones with a globally distributed team, including colleagues based in APAC and EMEA.

• You say what you mean. You're direct, but you lead with respect.

• You connect dots across functions and hold the big picture without losing grip on the details.